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In vivo MR spectroscopic imaging of the prostate, from application to
interpretation
Nassim Tayari
*, Arend Heerschap, Tom W.J. Scheenen, Thiele Kobus
Department of Radiology and Nuclear Medicine (766), Radboud University Medical Center, P.O. Box 9101, Nijmegen, The Netherlands
a r t i c l e i n f o
Article history: Received 3 July 2016 Received in revised form 23 December 2016 Accepted 1 February 2017 Available online 3 February 2017 Keywords:
Prostate cancer
Magnetic resonance spectroscopic imaging MRSI data acquisition
Prostate metabolites
a b s t r a c t
Proton magnetic resonance spectroscopic imaging (1H MRSI) enables non-invasive assessment of certain metabolites in the prostate gland. Several studies have demonstrated that this metabolic information, in combination with anatomical information from T2-weighted MR imaging significantly improves prostate cancer detection, localization and disease characterization. The technology of1H MRSI is continuously evolving with improvements of hardware and acquisition methods. Recently,31P and13C MRSI of the prostate have regained new interest after a dormant period of decades.
This review focuses on recent technical progress of in vivo1H MRSI of the prostate, in particular those that enhance clinical applicability at 3T with respect to commonly used techniques to examine the prostate. These developments consist of higher magnetic field strengths, and better MR coils and acquisition techniques. Besides the improvements for1H MRSI, the developments and opportunities for 31P and13C MRSI for the prostate are reviewed. Finally, we briefly review13C MRS of the prostate, in particular the new possibilities with hyperpolarized substrates.
© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
1. Introduction
MR imaging is increasingly being used in the clinical manage-ment of prostate cancer such as for the detection and localization of cancer tissue, and to assess the stage and aggressiveness of the disease. This is currently performed by multi-parametric MR im-aging (mpMRI) of the prostate, consisting of T2-weighted imim-aging to visualize prostate anatomy, complemented with one or more functional MR techniques including diffusion weighted imaging (DWI) and dynamic contrast enhanced imaging (DCE-MRI)[1]. For the interpretation of mpMRI in cancer detection a reporting system called PIRADS has been developed, which assesses the likelihood of clinically significant disease [2,3]. As MR spectroscopic imaging (MRSI) has been demonstrated to be valuable in the diagnosis, localization and characterization of the disease [1,4e9] it was included in the original PI-RADS, but not in the most recent version, PI-RADS 2.0, due to the low practicality of current1H MRSI methods in routine clinical use. In particular non-standardized and some-times rather long examinations, the need for in-house expertise, lack of standardized automated processing and adequate data
display limit the application of prostate MRSI mainly to clinical research.
There are many recent developments that might lead to a more prominent role for MRSI in prostate cancer management such as improved radiofrequency (RF) coils, faster and more robust acqui-sition schemes with a higher sensitivity, and more dedicated automatic processing software. In addition, important advances on ultra-highfield 7T MR systems enable to achieve higher spatial resolutions in1H MRSI and to perform 3D31P MRSI of the entire prostate. Finally, the introduction of in vivo13C MR spectroscopic imaging of the human prostate using hyperpolarized compounds opens new possibilities for the characterization of prostate cancer. Acknowledging the previously published review articles on clinical1H MRSI of prostate cancer[4e8], here we will highlight (i) the recent technical developments in1H MRSI, (ii) recent results on
1H and31P MRSI at 7T MR systems, and (iii)13C MRS applications in
prostate cancer.
2. 1H MRSI of the prostate
Since thefirst acquired1H MR spectra of the prostate in 1990
[10], substantial progress has been made in the methodology with higher field strengths and improved coils and acquisition tech-niques. These improvements make it possible to acquire MR spectra
* Corresponding author.
E-mail address:[email protected](N. Tayari).
http://dx.doi.org/10.1016/j.ab.2017.02.001
of voxels with sizes in the order of 0.5 cm3with sufficient SNR and spectral resolution to detect metabolites throughout the entire prostate in a clinically feasible measurement time.
3. MR hardware 3.1. Field strength
Thefirst in vivo1H spectra of the prostate were obtained at a
field strength of 2T[10]. Nowadays instruments withfield strengths of 1.5T and 3T are commonly used, along with some initial exper-iments at 7T. Higher magnetic field strengths offer increased spectral resolution and higher signal-to-noise ratio (SNR), but are challenged by the absorption of RF by the tissue, and by increased susceptibility variations causing faster signal attenuation of the free induction decay, adversely affecting SNR and spectral line widths. A comparison for MRSI between 1.5T and 3T showed an SNR improvement by a factor of 2[11]. This increase in SNR enables a higher spatial and/or temporal resolution. At higher spatial reso-lution SNR is relatively enhanced due to reduced intra-voxel de-phasing[11]. No comparison in SNR or spatial/temporal resolution between 3T and 7T in prostate is available yet, but such studies of the brain suggest a more accurate assessment of metabolites levels at higherfield strength[12,13].
The increased frequency dispersion at higherfields improves the separation between metabolite resonances, but also requires pulses with more RF power deposition, reaching or exceeding the maximum specific absorption rate (SAR) limit. To stay within SAR-limits, an increase in repetition time (TR) might be necessary, which results in longer acquisition times. Clever acquisition schemes to deal with these challenges will be discussed below. 3.2. RF coils
MR(S)I of the prostate is generally performed with an integrated body coil for excitation together with external phased array coils and/or endorectal coil for signal reception. The use of an endorectal coil is recommended for MRSI at 1.5T, but optional at 3T, due to its proximity to the prostate. The spectral quality of MRSI data at 1.5T with endorectal coil is comparable to that at 3T without endorectal coil except for the voxels close to the endorectal coil, which have a higher SNR [14]. At 3T a mild but significant improvement in prostate cancer localization using1H MSRI was observed when an
endorectal coil was used compared to no endorectal coil [15]. However, no difference in cancer localization performance was observed at 1.5T between both coil configurations[16].
As 7T MR-systems lack an integrated body coil, local coils are required that can both transmit and receive RF-signals. Thefirst1H
MR spectra of the prostate at 7T were obtained with a transmit/ receive endorectal loop-coil [17,18]. A loop coil provides high sensitivity for adjacent tissue of interest, but suffers from transmit field (B1þ) and receivefield (B1) inhomogeneity. To compensate for
RFfield inhomogeneity, adiabatic RF pulses have been applied[16], providing a uniform RFfield over the region of interest (see pulse sequence section). Others have developed an external transmit/ receive 8-channel phased array coil for prostate imaging at 7T[19]. As the1H wavelength is short at 7T, destructive interferences can occur. To generate an homogenous and constructive B1þ-field in the
prostate with this setup, B1þ-shimming is required[19]. During B1þ
-shimming, the phase of each transmit-channel is optimized in or-der to have a constructive B1þin the prostate. Next to receiving with
an external array coil for1H MRSI, these 8-channel coils can also be combined with a receive-only endorectal coil[20,21].
The use of an endorectal coil has some issues: the positioning is time consuming, demands a level of expertise, and can be
uncomfortable for patients. Most often, an endorectal coil with an inflatable balloon is used, which brings the coil close to the pros-tate. With a dual-channel inflatable coil the SNR and image quality is increased compared to common single loop endorectal coil[22]. Note however, an inflatable balloon changes the shape and size of the prostate significantly, which can cause difficulties if the images are used for subsequent treatment[23]. Recently, a rigid reusable dual-channel endorectal coil became available that provided an increased SNR and image quality up to 3 cm from the coil compared to the single loop inflatable coil[24].
4. Acquisition 4.1. Pulse sequence
Initially, merely thefield of view of the endorectal coil was used to localize prostate spectra[10]. Subsequently, in vivo single voxel MRS of the prostate was performed[25,26]. Due to the multi-focal nature of prostate cancer, single voxel MRS is inadequate for prostate applications and MR spectroscopic imaging was intro-duced [27e31]. Using phase-encoding in three directions and weighted elliptical k-space sampling, spectra of the entire prostate were obtained in 8e15 min with nominal voxel sizes down to 0.4 cc at afield strength of 1.5T[31].
Volume localization in the prostate wasfirst performed using point-resolved spectroscopy (PRESS) [25] and stimulated echo acquisition mode (STEAM)[26], of which the former is commonly used in the clinic to acquire prostate spectra (Fig. 1A). The inter-pulse timing and magnetic field strength affect the spectral appearance of some compounds detectable in prostate spectra[7], which will be discussed in more detail in the section on metabolites.
In 2009, the use of adiabatic pulses for localization by adiabatic selective refocusing (LASER) was introduced for prostate MRSI [17,32]. They have better slice profiles, reducing outer volume signal contamination, are less sensitive to B1þinhomogeneities, and
have large bandwidths, thus diminishing chemical shift displace-ment artifacts. However, the pulses are RF power-demanding and need to be played out in pairs to achieve a homogeneous phase distribution over the selected slice. To lower RF power deposition, GOIA (gradient-modulated offset independent adiabaticity) pulses [33]are used that require less RF to reach adiabaticity [34], and slice-selective excitation is performed by a single conventional 90 excitation pulse: the semi-LASER (sLASER) sequence (Fig. 1B) [35,36]. At 3T, the measurement time for 3D MRSI using sLASER with GOIA pulses can be reduced to about 5 min without an endorectal coil with a nominal voxel resolution of 7 7 7 mm [37].
The transmit/receive endorectal coil used for 3D1H MRSI at 7T has a very inhomogeneous B1. This can be addressed by LASER
se-quences which are insensitive to B1þinhomogeneities[17]. As the
excitation pulse in the sLASER sequence is non-adiabatic, sequences were introduced using either a composite adiabatic slice-selective excitation (cLASER) or a non-slice-selective adiabatic excitation (nsLASER), allowing for shorter TEs, whilst maintaining the adia-batic spin excitation[38,39]. However, long repetition times were required due to high RF power deposition and SAR limitations, leading to long measurement times. These SAR-issues were addressed in a feasibility study at 7T using external phased array coils and a double spin-echo with asymmetric slice selective exci-tation pulses and a pair of spatial pulses. The spectral-spatial pulses excite and refocus only the metabolites of interest and eliminate the need for additional water or lipid suppression pulses[20]. The potential of 3D MRSI at 7T in prostate cancer re-quires further research.
As prostate MRS measurements may suffer from movement artifacts, motion reduction is essential. This can be tackled by several approaches such as limiting bowel movement using anti-peristaltic drugs and the application of a navigator [40]. MRSI data can be measured faster by simultaneous sampling in spatial and spectral dimensions, e.g. by traversing k-space in several short spiral trajectories within one read-out period[41,42]. Besides the time-gain of this approach, the spiral readouts start at the center of the k-space, which enables correcting for motion induced phase variations[42]. Spiral k-space acquisitions are an attractiveflexible alternative to a Cartesian sampling grid for prostate MRSI[43].
4.2. Suppression of contaminating lipid and other signals
The prostate is surrounded by lipid tissue, which may cause large resonances in the ppmerange close to those of citrate, which is one of the important prostate metabolites. Great care should be taken to prevent lipid signal contamination in prostate spectra. To achieve this several techniques have been used: outer volume saturation (OVS), additional pulses for lipid and water suppression, frequency selective excitation or refocusing, and k-space apodization.
OVS slabs can be placed around the prostate (Fig. 2) to pre-saturate signals from peri-prostatic lipids. The signals of the excited spins are crushed with dephasing gradients. Conventional OVS bands are optimized to compensate for poor edge profiles, B1
field inhomogeneity and chemical shift errors[44]. Very selective saturation (VSS) pulses have a reduced B1and T1 dependency[44].
The saturation slabs are usually positioned manually; however, in conformal voxel MRS, the assignment of spatial saturation planes is optimized by automatic placement, orientation, timing and flip angle setting of VSS pulses around the excitation volume based on the shape of the prostate[45,46]. To facilitate clinical use of prostate MRSI, automation of certain steps such as prostate volume seg-mentation,field of view and 3D volume selection and OVS place-ment are warranted.
Additionally, dual-frequency selective MEGA pulses have been incorporated in prostate MRSI to suppress lipid and water reso-nances (Fig. 1). The RF pulses selectively refocus water and lipid signals and are surrounded by crusher gradients to dephase the water and lipid spins while those of the metabolites of interest remain unaffected[47]. MEGA pulses are used in 3D1H MRSI se-quences such as PRESS[31], GOIA-sLASER[36], cLASER, nsLASER [38].
Unnecessary excitation of peri-prostatic lipids and water can also be prevented by spectral-spatial selective RF pulses[11]. Dual band spectral-spatial RF pulses for prostate MRSI were specifically developed to fully excite the prostate metabolites and partially the
water resonance[48]. The applicability of spectral-spatial pulses for prostate MRSI has been successfully demonstrated at 1.5T, 3T and 7T[11,20,48].
Next to robust suppression of lipid signals, signal contamination from neighboring voxels including lipids should be minimized. In conventional MRSI acquisitions, a standard Cartesian grid is sampled in k-space covering two or three spatial phase encoded dimensions. The limited number of k-space steps in MRSI results in a poor spatial response function (SRF) leading to inter-voxel signal contamination. Application of a suitable apodization filter in k-space can smooth the SRF to minimize signal contamination at the cost of a larger voxel size[49]. Combining this apodization with a weighted elliptical k-space sampling scheme results in a consid-erably shorter acquisition time with sustained sensitivity[31]. 5. Prostate metabolites in1H MRSI
Proton MR spectra of prostate tissue commonly contain signals from citrate (Cit), choline-containing compounds (tCho), creatine (Cr) and polyamines (PA) (Fig. 2). As metabolite signal intensities are used as biomarkers for prostate cancer or prostate abnormal-ities like benign prostatic hyperplasia (BPH), understanding the origin of these signals and the underlying mechanisms leading to metabolic changes is essential.
5.1. Citrate
In the normal human prostate epithelial cells secrete Cit in the luminal space, where it accumulates at high concentrations [50,51](Fig. 3). In numerous studies it has been demonstrated that tissue levels of Cit are reduced in prostate cancer and thus may serve as an in vivo marker to discriminate cancer from normal prostate tissue[25,26,29,52]. The likely processes that contribute to this decrease are the lower secretion of Cit in the lumen and a reduced luminal space in prostate cancer (Fig. 3). As expected from its luminal accumulation, Cit levels are higher in glandular than in stromal tissue[53,54]. For this reason these levels vary between different zones of the human prostate [55e57] and may be increased in mixed tissue BPH compared to normal prostate tissue [53,54].
The protons of Cit resonate around 2.6 ppm, but the precise chemical shift and the scalar coupling of these protons depend on pH[58]and cation concentration[59]. Two magnetically equivalent methylene groups are present in Cit and the protons in these -CH2
-groups are strongly coupled. Therefore, the spectral shape of Cit depends on inter-pulse timing including TE, pulse shape, andfield strength. Several optimization studies have been conducted to optimize Cit detection at 1.5T and 3T[36,60e62], in which the
inter-Fig. 1. Schematic diagrams of RF pulses in 3D prostate MRSI with MEGA water and lipid suppression pulses. A) PRESS: Localization is performed with a 90excitation pulse and two conventional 180refocusing pulses. The echo time (TE) is defined as two times (t2). Before excitation, outer volume saturation (OVS) pulses saturate peri-prostatic lipid signals. B) sLASER: After excitation with a conventional slice selective excitation pulse, the signal is refocused with two pairs of slice-selective low-power adiabatic refocusing pulses (WURST (16,4) modulated GOIA pulses).
pulse timing was optimized to invoke absorptive Cit signals in the spectrum. For double spin-echo techniques, two variables (
t
1 andt
2) and for the sLASER sequence four delays (t
1 tot
4) can be changed at a constant TE to optimize the shape (Fig. 1A and B). TEsFig. 2. MR(S)I data of a patient with a Gleason score (3þ 4) prostate cancer in the left transition zone. The patient was measured with both the PRESS and GOIA-sLASER sequence at 3 T. On the T2w images with the spectroscopy grid (C) and (D) the location of the normal voxel (blue) and tumor voxel (red) is indicated. Representative spectra from normal appearing tissue acquired with PRESS (A) and GOIA-sLaser (E), and tumor tissue acquired with PRESS (B) and GOIA-sLaser (F) illustrate the differences in metabolite signal in-tensities between healthy and tumor tissue. The PRESS data was measured at TR/TE¼ 1020/145 ms and the GOIA-sLASER data was measured at TR/TE ¼ 1020/88 ms. Indicated are the main prostate metabolites: citrate (Cit), choline (Cho), spermine (Spm) and creatine (Cr). Healthy spectra A and E have the same scaling, and tumor spectra B and F have the same scaling, showing the increase in SNR of the GOIA-sLASER sequence compared to PRESS. Note that because of their different distances to the endorectal coil, scaling between tumor and healthy voxel was different.
between 120 and 130 ms at 1.5T and between 75 and 145 ms at 3T are used by the major MR vendors[7]. Published T1 and T2 relax-ation times for Cit at 1.5T and 3T are provided inTable 1, taking into account the changes in citrate shape with TE. As Cit has a relatively short T1, a short TR can be used, which minimizes acquisition times.
5.2. Total choline (tCho): free choline, glycerophosphocholine and phosphocholine
Choline-containing compounds are involved in the biosynthesis and degradation of phospholipids that are essential elements of
Fig. 3. Citrate production in the prostate[50,51]. A) The hematoxylin and eosin (H&E) stained histopathological slice of the normal prostate on the right-, shows acini, surrounded by epithelial cells and ducts. Citrate is present at high concentrations in the luminal space of these glandular structures[63,64]. Cho and Cr are mostly present in stromal tissue including smooth muscles. On the left, is a schematic overview of the metabolic pathways related to citrate productions in a normal epithelial cell. Citrate is synthesized in the mitochondria and limited in its further metabolization to isocitrate due to blockage of the pathway by the inhibition of aconitase (ACON) by zinc (Zn2þ). The epithelial cells then secrete Cit into the luminal space where it accumulates to high concentration (blue arrow). B) On the right, a stained H&E slice of tumor tissue illustrates a reduced luminal space due to invasion of cancer cells. The altered citrate metabolism indicated on the left is caused by less inhibition of aconitase and Cit is mostly oxidized in the Krebs cycle rather than secreted out of the cell. *OAA: oxaloaceticacid, ACON: aconitase, AcCoA: Acetyl coenzyme A,a-KG:a-ketoglutarate.
cellular membranes. An increase in the tCho signal is observed in in vivo1H MRSI of prostate cancer tissue[27,29], which is associated
with neoplastic changes in cell membrane synthesis and degrada-tion[65,66].
The choline-containing metabolites that contribute to the main peak at 3.2 ppm in in vivo proton MR spectra are free choline, glycerophosphocholine and phosphocholine. Ex vivo HRMAS studies indicate that all choline compounds contribute to the tCho increase in prostate cancer tissue[53,67,68]. In vivo differentiation between the tCho compounds by1H MRS is difficult because of the small chemical shift difference in comparison to the broad spectral linewidth, hence the referral to the composite signal at 3.2 ppm as total Cho.
The tCho signal at 3.2 ppm arises from 9 magnetically equivalent protons in 3 methyl groups. The other observable protons in the tCho metabolites resonate at 3.54 and 4.05 but (partly) overlap with resonances from taurine and ethanolamine containing metabolites [67].
5.3. Polyamines/spermine
About 50e90% of the polyamines (PA) in the prostate is sper-mine (Spm). Like Cit, it is secreted in the luminal space by ductal cells[69e71]and known to decrease in prostate cancer[68,71,72]. Absolute tissue levels of spermine were quantified by in vivo single voxel MRS at short TE[72,73].
Spm is a coupled spin system containing two amine groups, two amide groups and ten methylene groups (CH2). These methylene
protons resonate infive sets of four magnetically equivalent pro-tons at 1.81 ppm, 2.11 ppm, 3.13 ppm, 3.12 ppm, and 3.18 ppm[74]. Similar to Cit, the Spm spectral shape and dispersive components are affected by inter-pulse timing andfield strength. Interestingly, by partial refocusing of coupled spins due to the frequency-selective refocusing scheme, the Spm signal in in vivo 7T prostate spectra appeared unexpectedly large (Fig. 4) [17,20,75]. In
retrospect, perhaps in some earlier studies at 1.5 and 3T the signal intensity of Spm has been underestimated to some extent because of overlapping Cr and tCho signals.
5.4. Creatine and phosphocreatine (tCr)
In1H MR spectra of the prostate the methyl protons of tCr have a resonance at 3.03 ppm. Its methylene peak at 3.91 ppm is usually not seen in vivo. Stromal tissue in the prostate mainly consists of fibroblasts and smooth muscle cells [76], of which the latter probably contribute most to the Cr resonances in prostate MRSI. The total creatine (tCr) signal consists of resonances from free creatine and phosphocreatine (PCr), compounds that play a key role in storage and transfer of energy [77]. PCr supports adenosine triphosphate (ATP) levels in tissue by supplying phosphate to adenosine diphosphate (ADP) to form ATP [78]. In 1H HR-MAS spectroscopy studies, no significant difference in tCr levels be-tween normal prostate and cancer tissue was observed[53,68], in agreement with similar values for the stromal component in normal and cancer tissue[8,79]although a small decrease of this component is observed with higher Gleason grades[80]. Only in very high-grade tumors or after hormonal deprivation therapy a decrease of the tCr signal is observed[81].
5.5. Other metabolites
Besides the four major metabolites visible in in vivo 1H MR spectra of the prostate, other metabolites with shorter T2 or J-coupled protons may become visible at echo times below about 100 ms. Already at TE¼ 88 ms signals for myoinositol and taurine are recognizable [82]. At still shorter TE, also signals for,scyllo-inositol and glutamine/glutamate become detectable in prostate spectra[45,73]. The value of these metabolites as biomarker for prostate cancer requires further investigation. Metabolite profiling in prostate tissue suggested myo-inositol as biomarker for
Table 1
T1 and T2 relaxation times and in vivo measured concentration of prostate metabolites (Mean± SD). *PZ ¼ peripheral zone, TZ ¼ transition zone, CG ¼ central gland.
Metabolite Reference 1.5T in vivo MRS
T1 (sec) T2 (sec) concentration (mM) Choline Heerschap et al., 1997[28] 0.84± 0.09 0.23± 0.06 3.1
Citrate 0.34± 0.04
Creatine 0.86± 0.1 0.21± 0.1 4.4± 0.8
Citrate Heerschap et al.[116] 0.18± 0.1 Citrate Lowry et al., 1996[56] 0.84± 0.08 0.17± 0.02 (PZ)
0.12± 0.03 (TZ) 3T
Choline Scheenen et al., 2005[61] 1.1± 0.4 0.22± 0.09
Citrate 0.47± 0.14 0.17± 0.05
Choline Weis et al., 2013[117] 0.987± 0.071 0.239± 0.024 2.6± 0.3
Citrate 0.476± 0.07 0.11± 0.018 26.9± 5.5
Creatine 1.128± 0.149 0.188± 0.020 5.8± 1.3
Basharat et al., 2014[73] Normal CG Normal PZ
Choline 0.062± 0.017 5± 4 7± 3
Spermine 0.053± 0.016 7± 4 10± 4
myo-inositol 0.090± 0.048 15± 12 10± 8
Creatine 8± 7 9± 5
Citrate 32± 17 64± 22
Basharat et al., 2015[72] Normal tissue Tumor
Choline 0.073± 0.027 4± 3 4± 2
Spermine 0.096± 0.056 9± 3 6± 3
myo-inositol 18± 5 14± 7
Creatine 9± 7 10± 5
Citrate 50± 34 19± 11
Citrate Liney et al., 1997[55] 40
localization of malignancy in the prostate[83]. Lactate is another metabolite of interest for cancer characterization and has been found in high concentrations in brain tumors [84]. However, no lactate signal was detectable in in vivo1H MRSI of the prostate and it was concluded that its concentration is low (<1.5 mM) even in high-grade prostate cancer[85].
6. Processing and interpretation of1H MRSI data
Intensity decreases of Cit and PA and increase in tCho signals can be used as a biomarker for malignancies in the prostate. For pros-tate cancer localization and characterization, generally a metabolite ratio, e.g. (Cho þ PA þ Cr)/Cit, is used instead of individual metabolite maps. With an endorectal coil, the individual metabolite maps suffer from B1field inhomogeneity, because signal intensity
of the coil drops towards the ventral parts of the prostate. Recon-struction of individual maps of tCho, PA and tCr maybe hampered by overlap of their resonances.
Calculations of absolute metabolite levels require an additional measurement (and thus more time) to acquire the water signal for internal referencing. Furthermore, in prostate MRSI usually long TEs are used, which should be accounted for in quantification. For these reasons absolute quantification of prostate metabolites is not frequently applied [28,56]. The use of a metabolite ratio as biomarker for prostate cancer solves many of these issues. To obtain ratios, the signals should befitted or integrated. The many aspects to consider infitting procedures are beyond the scope of this paper. For detailed information on post-processing of prostate spectra and interpretation of metabolite ratios, we refer to review papers that address these issues[4,8].
The (tChoþ PA þ tCr)/Cit ratio increases in cancer compared to normal prostate tissue due to a decrease in Cit (and Spm) together with an increase in tCho (Fig. 3). The decrease of Cit and Spm levels seen in1H MR spectra of prostate cancer lesions may be caused by a remodeling of their metabolism by morphological changes in the gland leading to a decrease in luminal space in cancer tissue[86]. A substantial loss (>50%, depending on Gleason pattern[79,80,87]of luminal space by dedifferentiating epithelial cancer cells results in less space for Cit and Spm to accumulate. Indeed, a significant correlation between the percentage area of luminal space and the (Citþ Spm þ tCr)/tCho ratio has been observed[87].
The fact that the (tChoþ PA þ tCr)/Cit ratio is higher in cancer tissue compared to normal prostate tissue enables us to use the ratio for prostate cancer detection and localization[52,88,89]. The applicability of the (tChoþ tCr)/Cit ratio to differentiate between tumor and normal prostate tissue has been demonstrated in a multi center study[90]. Furthermore, the ratio correlates with the Glea-son score, a histological score for the aggressiveness of the tumor [91,92]. Although the current role of1H MRSI in clinical mpMRI is limited there is ample evidence it has added value. The perfor-mance of the metabolite ratio for a noninvasive in vivo aggres-siveness assessment is comparable to the performance of the apparent diffusion coefficient obtained from DWI [91].1H MRSI outperformed DWI when assessing aggressiveness in transition zone (TZ) tumors[91]. When combining multiple modalities,1H MRSI in combination with the wash-out, a parameter of DCE-MRI, gave the best performance for discrimination between low and high-grade tumors in the TZ[93].
7. 31P MRSI of the prostate
Thefirst31P MR spectra of the prostate were acquired at 1.5 and
2T in the early nineties using a31P transmit/receive endorectal coil [94,95]. These spectra were unlocalized and the obtained metabolic information originated from the completefield of view of the coil. To study different parts of the prostate, the coil had to be reposi-tioned between acquisitions [96]. Furthermore, the anatomical images were obtained in a separate session using a1H coil. After these initial studies, interest in in vivo31P MRS of the prostate dropped and only received new attention twenty years later with the introduction of ultra highfield 7T MR-systems. The increase in SNR at this higherfield strength enables31P 3D MRSI studies of the
entire prostate in one session. Furthermore, the increase in spectral resolution makes it possible to better discriminate between metabolite signals. In this section we will discuss the information content and technical challenges of 3D31P-MRSI at 7T.
8. Hardware
As ultra-highfield MR systems lack an integrated body coil, local coils are required that can both transmit and receive RF-signals. For the acquisition of 3D31P MRSI, two frequencies are of interest: the
Fig. 4. :1H MRSI of a patient with prostate cancer at 7 T. A) Spectral map of the fullfield of view overlaid on top of a transversal T2w image. B) Spectrum of a non-cancer tissue
indicated by the yellow square on the spectral map. The prostate metabolites Cit, consisting of a double doublet, total choline (tCho) and a large spermine (Spm) signal that obscures the creatine resonance are indicated.
1H frequency for anatomical reference images and manipulation of 1H-31P interactions, and the31P frequency at which the spectra are
acquired. Two different approaches have been presented to achieve this for31P MRSI of the prostate at 7 T. For thefirst approach, an 8-channel1H phased-array body coil was placed around the pelvic area of the subject and this was combined with a31P transmit/ receive endorectal[97]. Another approach is the use of an endor-ectal loop-coil tuned to both the1H- and the31P-frequency[98]. A challenge when using an endorectal coil for signal transmission is that the B1þdrops at larger distances from the coil, which will be
discussed in more detail in the acquisition section. The future might bring new set-ups involving external31P coils or other combina-tions of transmit and receive coils.
9. Acquisition
The use of an endorectal loop-coil, essential to address the lower sensitivity of the31P nucleus has both advantages and disadvan-tages for31P MRSI. Since the B1 drops further from the coil, the
transmit and receivefields are inhomogeneous. To ensure that the flip angle is the same over the entire prostate, adiabatic pulses can be used[97,99]. To stay within SAR-limits, only a limited number of adiabatic pulses can be applied or the TR (and thus the measure-ment time) should be increased. On the other hand, as thefield of view of the endorectal coil just exceeds the volume of the prostate, the entirefield of view of the coil can be phase encoded, so unlo-calized adiabatic excitation can be used. An example of an adiabatic excitation pulse is the BIR-4, of which theflip angle can be adjusted by the values of the phase shifts within the pulse[100]. Although theflip angle of the BIR-4 pulse is constant over the entire field of view, the excitation bandwidth decreases at larger distances from the coil with the drop of B1þ. With the knowledge of the T1
relax-ation times of the metabolite spins, the best combinrelax-ation offlip angle and TR can be selected[99].
Lateral to the prostate, muscle tissue is present. As muscle contains large amounts of PCr, it is important to minimize contamination from neighboring voxels. To this end, similar to1H MRSI, weighted k-space sampling with a Hanning filter can be applied to decrease signal contribution from muscle tissue. Furthermore, the spatial resolution should be as high as possible. At this time, an effective voxel size of 3.0 cm3, after weighted sampling andfiltering, was the smallest that could be obtained with suffi-cient SNR for31P MRSI of prostate with an enrorectal coil at 7T [101].
There are several techniques to enhance the sensitivity of31P spectra. For instance by1H irradiation the effects of heteronuclear (1H-31P) can be eliminated. With this technique the sensitivity of certain31P signals can be increased by merging triplets, caused by
1H-1H-31P heteronuclear coupling, into a single peak. The 1H-31P
coupling constant of the metabolites of interest is 6e7 Hz. As the line width that can be obtained with shimming of the prostate at 7T is about 15e20 Hz, the effect of merging the triplets hardly im-proves the line width of the31P resonances. More interesting is exploiting the Nuclear Overhauser Effect (NOE), where water pro-tons are saturated, which leads to signal enhancement of the31P signals through dipolar interactions. In the prostate, most metab-olites showed positive NOE-enhancements, although the enhancement was variable[99].
10. Prostate metabolites in31P MRSI
There are compounds with31P-atoms that reside in the prostate at MR measurable concentrations. These metabolites are important for energy and membrane phospholipid metabolism.
10.1. Phosphocreatine and adenosine triphosphate
Both PCr and ATP play an essential role in energy metabolism. Basically, when energy is needed, ATP is hydrolyzed into ADP and inorganic phosphate (Pi). PCr serves as an buffer by re-phosphorylating ADP into ATP when energy demand is high.
PCr is a single resonance assigned to a chemical shift of 0 ppm. Maps of PCr show high PCr intensities in the muscles lateral to the prostate and low PCr levels within the prostate (Fig. 5). The T1 relaxation time at 7T for PCr is 4.1 s, which is comparable to the T1 relaxation times observed in muscle[99, 102].
ATP contains three 31P atoms (
g
,a
andb
) that resonate around2.5 (g
),7.5 (a
) and16.3 (b
) ppm, but their exact posi-tions are dependent on physiological condiposi-tions like pH and Mg2þ content. The 31P-atoms are coupled with a coupling constant around 16 Hz. To excite all ATP resonances, pulses are required to have a large bandwidth. If the bandwidth is not sufficient to fully excite theb
-ATP (anda
-ATP) resonance, theg
-ATP intensity is used to estimate ATP-levels.g
-ATP maps show great variation among patients, which cannot be explained only by the coil profile, and no consistency was observed in ATP-levels in cancer tissue[101]. The T1 relaxation time at 7T forg
-ATP is 3.0 s[99]. In skeletal muscle, the PCr/ATP ratio is between 4 and 5[103]. This ratio is much lower in smooth muscle tissue (104) and similar to the PCr/ATP ratio observed in prostate: 1.3e1.5[96,99], which indicates that most of the PCr arises from stromal smooth muscle tissue in the prostate. 10.2. Phosphomonoesters and diestersNext to the energy balance related metabolites,31P MR spectra of the prostate contain resonances of compounds participating in phospholid metabolism. These resonances belong to the phos-phomonoesters (PME), i.e. phosphocholine (PC) and phosphoe-thanolamine (PE), and their glycerol derivatives, the phosphodiesters (PDE) glycerophosphocholine (GPC) and glycer-ophosphoethanolamine (GPE). They are involved in signalling pathways, lipoprotein metabolism and the synthesis of phospati-dylcholine and phosphadylethanolamine, two major cell mem-brane compounds[104]. The metabolites are of interest in oncology as membrane phospholipid metabolism is altered in cancer.
PC, PE, GPC and GPE resonate around 5.6, 6.8, 2.8 and 3.2 ppm, respectively. The31P-atoms in these molecules are hetero-nuclear coupled to the protons in adjacent methylene group with a coupling constant around 6e7 Hz[105]. At lowerfield strengths without1H decoupling, the two PMEs and two PDEs peaks are not resolved, but with the increased spectral resolution of 7T they can be distinguished from each other. The T1 relaxation times of these metabolites at 7 T vary between 5.9 and 8.3 s[99].
10.3. Inorganic phosphate/tissue pH
Pi is formed during the hydrolysis of ATP in ADP. It is involved in many metabolic processes and is essential in glycolysis and to synthesize nucleic acids, phospholipids and proteins.
The resonance frequency Pi in cell is around 5 ppm, but the exact frequency strongly depends on pH. As the pKa of Pi is about 6.9, which is close to the range of physiological pH values, the chemical shift of Pi measured relative to the PCr signal, can be employed to determine tissue pH. In 31P spectra of the prostate, one or two resonances in the 5.0-ppm region were observed [97e99, 101], most likely both belonging to Pi. The observation of two Pi reso-nances could point towards two compartments in the prostate with different pHs, calculated to be ~7.1 and ~7.6 [99, 101]. This hy-pothesis of two compartments is strengthened by the observation that both resonances have a different T1 relaxation time: 6.5 s for
the low pH and 4.6 s for the high pH resonance[99]. Interestingly, there was a trend towards a higher ratio of Pi (pH~7.6) over Pi (pH~7.1) for cancerous tissue compared to normal tissue. Further research is needed to unravel the underlying physiology of the two resonances and their value in prostate cancer characterization. 11. Processing and interpretation of31P MRSI
Acquisition of31P MRSI is commonly done by a pulse-acquire scheme, which simplifies post-processing of the spectra with respect to j-coupling evolution for coupled resonances. However, there is a small time delay between the pulse and acquisition to facilitate phase encoding, which requires a first-order phase correction. A detailed fitting procedure for quantification of the spectra in Metabolite Report (work-in-progress package of Siemens Healthcare) was described by Lagemaat[99]. Both Lorentzian (PCr, PC, PE, GPC, GPE) and Gaussian (ATP and Pi) lineshapes were used tofit the metabolites and heteronuclear coupling was incorporated for PMEs and PDEs.
There is limited information available on the interpretation of
31P MR prostate data. AT 1.5T an increase in the PME/PCr ratio was
observed in cancer compared to non-cancer tissue[95,96]. How-ever, these results could not be reproduced at higherfield strength. As localization was poor in that initial study, these spectra might have suffered from signal contamination of PCr from adjacent muscle tissue in small prostates, leading to unrepresentative ratios. Results at 7T showed quite some overlap between the31P metab-olite levels in cancer and normal tissue, which may be due to partial volume effects as the MR spectroscopy voxels were relatively large (~5.1 cm3) compared to the small size of most tumors. An increased spatial resolution is needed to fully evaluate the potential of these metabolites as biomarker for prostate cancer. Interestingly, GPC and GPE were nearly absent in the 7T 31P spectra of non-cancerous tissue, but more often observed in cancerous tissue[101]. 12. 13C MRSI of the prostate
Thefirst in vivo MR spectra of the human prostate were obtained by natural abundance13C MRS[106]. At afield strength of 1.5 T, the authors obtained spectra that contained, among other signals, Cit. As the natural abundance of13C is low (~1% of all natural carbon), 700 averages were needed to record this spectrum. With the
increasing interest in1H MRS, which also detects Cit and does not suffer from low natural abundance,13C MRS of the prostate was abandoned. Recently,13C MRS of the prostate has regained interest with the new technical developments in thefield of hyperpolar-ization. The ability to increase the sensitivity of13C-labeled sub-strates more than 10.000 fold using dynamic nuclear hyperpolarization (DNP) and to subsequently dissolve the sample quickly to create a solution that can be injected, makes it possible to study fast dynamic metabolic processes in vivo[107]. After injection of the hyperpolarized13C-labeled substrate, the conversion of the substrate into other metabolites can be observed with13C MRS(I). Similar to the acquisition of31P spectra, coils dedicated to the
13C frequency are necessary to acquire13C signals in combination
with1H coils for anatomical reference images. For thefirst in vivo study of the human prostate, a 13C volume transmit coil was combined with an endorectal1H/13C receive coil[108].
The acquisition of signals from labeled13C-substrates is chal-lenged by T1 relaxation by which the sample starts to lose polari-zation once dissolved and taken out of the polarizer. As polaripolari-zation also decreases due to RF excitation typically lowflip angle ap-proaches are used combined with short TRs. To ensure that as much information as possible is obtained in the short imaging window, clever acquisition techniques are needed.
The substrates that can be measured with this technique are also limited by their T1-relaxation time. [1e13C]-pyruvate is a popular
substrate as the quaternary carbon has a relatively long T1. It also is a key metabolite at the crossroad of metabolic pathways (i.e. glycolysis, citric acid cycle). The first human in vivo study using hyperpolarized13C-labeled pyruvate demonstrated the safety and feasibility of the method and also indicated clinical potential as the ratio of lactate to pyruvate was elevated in regions of prostate cancer (Fig. 6)[108].
The challenges of this technique include the way of polarization, substrate administration, dedicated acquisition methods, and data post-processing. For instance in post-processing, the effects of T1 decay and metabolic conversion and supply on signal changes has to be taken into account, which requires complex modeling to understand the physiology that underlie these spectral changes [109]. A detailed review of this promising technique is beyond the scope of this paper and more information can be found elsewhere [110, 111].
Fig. 5.31P MRSI of the prostate with a31P pulse-acquire sequence. In the prostate (red voxel) the metabolites phosphoethanolamine (PE), phosphocholine (PC), inorganic phosphate
13. Outlook
In this paper recent developments in hardware and software concerning prostate MRSI is reviewed. A new hardware improve-ment involves the developimprove-ment of a dual channel endorectal receive coil with higher SNR in the dorsal part of the prostate compared to single channel receive coils. Both inflatable and rigid coil designs have been equipped with this technology. Whether further improvements can be made by adding more coil elements is questionable, as the penetration depth decreases for smaller coil elements. However, further optimization of the external phased array coils towards MR without endorectal coil is probably more of
clinical interest as it results in shorter patient preparation times, improved patient comfort and MRSI options for individual metab-olite maps with uniform B1over the prostate.
Another hardware advance is the increased availability of 7T systems. There is no information available yet whether the increased SNR and spectral resolution of this field strength will have added value for prostate cancer management. However, it can be expected that the increased SNR can be used for either higher spatial resolution or shorter measurement times. As discussed, these measurements are not straightforward yet; there is a lot of room for improvement and clever acquisition techniques with minimal SAR-deposition are required. Ultra-highfield MR systems
Fig. 6. Images were obtained from a patient with serum PSA of 9.5 ng/ml, who was diagnosed with bilateral biopsy-proven Gleason grade 3þ 3 prostate cancer and received hyperpolarized [1e13C] pyruvate (0.43 ml/kg). The axial T2-weighted image shows a unilateral region of reduced signal intensity (red arrows), which is consistent with a reduction
in the corresponding apparent diffusion coefficient (ADC). The1H spectral arrays supported thesefindings, with voxels with reduced citrate and elevated choline/citrate (highlighted
in pink) on the right side of the gland and voxels with normal metabolite ratios on the left side. The13C spectral arrays show voxels with elevated levels of hyperpolarized [1e13C]
lactate/[1e13C]pyruvate (highlighted in pink) on both the right and left sides of the prostate. The location of colored regions in the metabolite image overlay had a ratio of [1e13C]
contamination. The sLASER sequence combined with a spiral readout, offers aflexible approach to acquire 3D1H MRSI data of the
prostate in 5e8 min without an endorectal coil at 3T. This mea-surement time approaches the acquisition time of techniques like DWI and DCE-MRI. Still, for a more widespread use of MRSI in a mpMRI examination, not only fast and robust acquisition is desired, but also display of the results in a reliable and easy digestible way. To this end, full automation in post-processing is needed. Further refinement of MRSI acquisition is possible, such as movement correction.
With fully automated post-processing and intuitive display in place, MRSI might be a good alternative for DCE-MRI in an mpMRI prostate exam. The use of gadolinium as contrast agent is under discussion, because of complications such as accumulation of re-sidual gadolinium in the brain and bone, and nephrogenic systemic fibrosis [111e113]. Especially for clinical applications where MR-examinations are repeated over time, MRSI might be preferable over DCE-MRI. Several studies have shown the ability of prostate MRSI (in particular combined with DWI) to identify aggressive prostate cancers, suggesting an important role for MRSI in selecting patients for active surveillance programs[114, 115].
Lastly, the promising development in hyperpolarized13C MRSI are discussed. So far, only [1e13C]-pyruvate has been studied in the
human prostate, but more substrates can be polarized to investi-gate metabolic processes. In contrast to1H and31P MRSI providing static levels of metabolites, hyperpolarized13C MRSI monitors dy-namic processes of metabolism. The true value of [1e13C]-pyruvate
and other substrates in cancer diagnosis needs more investigation. A prostate MR examination is multi-parametric and at this moment, MRSI is often not included in this approach. However, with all recent advancements, a new evaluation of the comple-mentary role of MRSI for prostate cancer management is in place. Acknowledgment
This work was funded by the EU Marie Curie FP &-PEOPLE-2012-ITN project TRANSACT (P&-PEOPLE-2012-ITN-GA-2012e316679) and the European Research Council: FP7/2007-2013e ERC Grant agreement 243115. Furthermore, the authors thank Sjaak J van Asten, Miriam W. Lagemaat and Isabell K. Steinseifer for their contributions to the manuscript.
References
[1] C.M. Hoeks, et al., Prostate cancer: multiparametric MR imaging for detec-tion, localizadetec-tion, and staging, Radiology 261 (1) (2011) 46e66.
[2] J.C. Weinreb, et al., PI-RADS prostate imaging - Reporting and data system: 2015, version 2, Eur. Urol. 69 (1) (2016) 16e40.
[3] J.O. Barentsz, et al., ESUR prostate MR guidelines 2012, Eur. Radiol. 22 (4) (2012) 746e757.
[4] T. Kobus, et al., Mapping of prostate cancer by 1H MRSI, NMR Biomed. 27 (1) (2014) 39e52.
[5] J. Kurhanewicz, et al., Combined magnetic resonance imaging and spectro-scopic imaging approach to molecular imaging of prostate cancer, J. Magn. Reson Imaging 16 (4) (2002) 451e463.
[6] F.V. Coakley, A. Qayyum, J. Kurhanewicz, Magnetic resonance imaging and spectroscopic imaging of prostate cancer, J. Urol. 170 (6 Pt 2) (2003) S69eS75 discussion S75eS76.
Reson Med. 61 (6) (2009) 1279e1285.
[13] S. Pradhan, et al., Comparison of single voxel brain MRS AT 3T and 7T using 32-channel head coils, Magn. Reson Imaging 33 (8) (2015) 1013e1018. [14] P. De Visschere, et al., Prostate magnetic resonance spectroscopic imaging at
1.5tesla with endorectal coil versus 3.0tesla without endorectal coil: com-parison of spectral quality, Clin. Imaging 39 (4) (2015) 636e641. [15] D. Yakar, et al., Initial results of 3-dimensional 1H-magnetic resonance
spectroscopic imaging in the localization of prostate cancer at 3 Tesla: should we use an endorectal coil? Invest Radiol. 46 (5) (2011) 301e306. [16] Y. Kaji, et al., Proton two-dimensional chemical shift imaging for evaluation
of prostate cancer: external surface coil vs. endorectal surface coil, J. Magn. Reson Imaging 16 (6) (2002) 697e706.
[17] D.W. Klomp, et al., Proton spectroscopic imaging of the human prostate at 7 T, NMR Biomed. 22 (5) (2009) 495e501.
[18] B. van den Bergen, et al., Uniform prostate imaging and spectroscopy at 7 T: comparison between a microstrip array and an endorectal coil, NMR Biomed. 24 (4) (2011) 358e365.
[19] G.J. Metzger, et al., Local B1þ shimming for prostate imaging with trans-ceiver arrays at 7T based on subject-dependent transmit phase measure-ments, Magn. Reson Med. 59 (2) (2008) 396e409.
[20] M.W. Lagemaat, et al., (1) H MR spectroscopic imaging of the prostate at 7T using spectral-spatial pulses, Magn. Reson Med. 75 (3) (2016) 933e945. [21] G.J. Metzger, et al., Performance of external and internal coil configurations
for prostate investigations at 7 T, Magn. Reson Med. 64 (6) (2010) 1625e1639.
[22] E.K. Vos, et al., Clinical comparison between a currently available single-loop and an investigational dual-channel endorectal receive coil for prostate magnetic resonance imaging: a feasibility study at 1.5 and 3 T, Invest Radiol. 49 (1) (2014) 15e22.
[23] S.W.T.P.J. Heijmink, et al., Changes in prostate shape and volume and their implications for radiotherapy after introduction of endorectal balloon as determined by mri at 3t, Int. J. Radiat. Oncol. Biol. Phys. 73 (5) (2009) 1446e1453.
[24] M.A. Haider, et al., Prostate imaging: evaluation of a reusable two-channel endorectal receiver coil for MR imaging at 1.5 T, Radiology 270 (2) (2014) 556e565.
[25] F. Schick, et al., Localized proton MR spectroscopy of citrate in vitro and of the human prostate in vivo at 1.5 T, Magn. Reson Med. 29 (1) (1993) 38e43. [26] J. Kurhanewicz, et al., Citrate as an in vivo marker to discriminate prostate cancer from benign prostatic hyperplasia and normal prostate peripheral zone: detection via localized proton spectroscopy, Urology 45 (3) (1995) 459e466.
[27] J. Kurhanewicz, et al., Three-dimensional H-1 MR spectroscopic imaging of the in situ human prostate with high (0.24-0.7-cm3) spatial resolution, Radiology 198 (3) (1996) 795e805.
[28] A. Heerschap, et al., Proton MR spectroscopy of the normal human prostate with an endorectal coil and a double spin-echo pulse sequence, Magn. Reson Med. 37 (2) (1997) 204e213.
[29] A. Heerschap, et al., In vivo proton MR spectroscopy reveals altered metabolite content in malignant prostate tissue, Anticancer Res. 17 (3A) (1997) 1455e1460.
[30] J. Kurhanewicz, D.B. Vigneron, S.J. Nelson, Three-dimensional magnetic resonance spectroscopic imaging of brain and prostate cancer, Neoplasia 2 (1e2) (2000) 166e189.
[31] T.W. Scheenen, et al., Fast acquisition-weighted three-dimensional proton MR spectroscopic imaging of the human prostate, Magn. Reson Med. 52 (1) (2004) 80e88.
[32] J. Near, et al., High-field MRSI of the prostate using a transmit/receive endorectal coil and gradient modulated adiabatic localization, J. Magn. Reson Imaging 30 (2) (2009) 335e343.
[33] E. Kupce, R. Freeman, Adiabatic pulses for wide-band inversion and broad-band decoupling, J. Magn. Reson. Ser. A 115 (2) (1995) 273e276. [34] O.C. Andronesi, et al., Spectroscopic imaging with improved gradient
modulated constant adiabaticity pulses on high-field clinical scanners, J. Magn. Reson. 203 (2) (2010) 283e293.
[35] T.W. Scheenen, et al., Short echo time 1H-MRSI of the human brain at 3T with minimal chemical shift displacement errors using adiabatic refocusing pulses, Magn. Reson Med. 59 (1) (2008) 1e6.
[36] I.K. Steinseifer, et al., Improved volume selective (1) H MR spectroscopic imaging of the prostate with gradient offset independent adiabaticity pulses at 3 tesla, Magn. Reson Med. 74 (4) (2015) 915e924.
3T, in: Proc Int Soc Magn Reson Med, Canada, Toronto, Ontario, 2015. [38] C.S. Arteaga de Castro, et al., Composite slice-selective adiabatic excitation
for prostate MRSI, NMR Biomed. 26 (4) (2013) 436e442.
[39] C.S. Arteaga de Castro, et al., Improving SNR and B1 transmitfield for an endorectal coil in 7 T MRI and MRS of prostate cancer, Magn. Reson Med. 68 (1) (2012) 311e318.
[40] T. Thiel, et al., Phase coherent averaging in magnetic resonance spectroscopy using interleaved navigator scans: compensation of motion artifacts and magneticfield instabilities, Magn. Reson Med. 47 (6) (2002) 1077e1082. [41] E. Adalsteinsson, et al., Volumetric spectroscopic imaging with spiral-based
k-space trajectories, Magn. Reson Med. 39 (6) (1998) 889e898.
[42] D.H. Kim, E. Adalsteinsson, D.M. Spielman, Spiral readout gradients for the reduction of motion artifacts in chemical shift imaging, Magn. Reson Med. 51 (3) (2004) 458e463.
[43] I.K. Steinseifer, et al., Flexible proton 3D MR spectroscopic imaging of the prostate with low-power adiabatic pulses for volume selection and spiral readout, Magn. Reson Med. 77 (3) (2017) 928e935.
[44] T.K.C. Tran, et al., Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer, Magn. Reson. Med. 43 (1) (2000) 23e33. [45] N. Venugopal, et al., Short echo time in vivo prostate (1)H-MRSI, Magn.
Reson Imaging 30 (2) (2012) 195e204.
[46] N. Venugopal, et al., Automatic conformal prescription of very selective saturation bands for in vivo 1H-MRSI of the prostate, NMR Biomed. 25 (4) (2012) 643e653.
[47] M. Mescher, et al., Solvent suppression using selective echo dephasing, J. Magn. Reson. Ser. A 123 (2) (1996) 226e229.
[48] A.A. Schricker, et al., Dualband spectral-spatial RF pulses for prostate MR spectroscopic imaging, Magn. Reson Med. 46 (6) (2001) 1079e1087. [49] T.H. Mareci, H.R. Brooker, Essential considerations for spectral localization
using indirect gradient encoding of spatial information, J. Magn. Reson. 92 (2) (1991) 229e246.
[50] L.C. Costello, R.B. Franklin, Concepts of citrate production and secretion by prostate. 1, Metab. Relat. Prostate 18 (1) (1991) 25e46.
[51] L.C. Costello, R.B. Franklin, Citrate metabolism of normal and malignant prostate epithelial cells, Urology 50 (1) (1997) 3e12.
[52] J. Scheidler, et al., Prostate cancer: localization with three-dimensional proton MR spectroscopic imagingeclinicopathologic study, Radiology 213 (2) (1999) 473e480.
[53] M.G. Swanson, et al., Quantitative analysis of prostate metabolites using 1H HR-MAS spectroscopy, Magn. Reson Med. 55 (6) (2006) 1257e1264. [54] J.K. Kim, et al., In vivo differential diagnosis of prostate cancer and benign
prostatic hyperplasia: localized proton magnetic resonance spectroscopy using external-body surface coil, Magn. Reson Imaging 16 (10) (1998) 1281e1288.
[55] G.P. Liney, et al., In vivo quantification of citrate concentration and water T2 relaxation time of the pathologic prostate gland using 1H MRS and MRI, Magn. Reson Imaging 15 (10) (1997) 1177e1186.
[56] M. Lowry, et al., Quantification of citrate concentration in the prostate by proton magnetic resonance spectroscopy: zonal and age-related differences, Magn. Reson Med. 36 (3) (1996) 352e358.
[57] L.C. Costello, R.B. Franklin, P. Narayan, Citrate in the diagnosis of prostate cancer, Prostate 38 (3) (1999) 237e245.
[58] G.J. Moore, L.O. Sillerud, The pH dependence of chemical shift and spin-spin coupling for citrate, J. Magn. Reson B 103 (1) (1994) 87e88.
[59] M. van der Graaf, A. Heerschap, Effect of cation binding on the proton chemical shifts and the spin-spin coupling constant of citrate, J. Magn. Reson B 112 (1) (1996) 58e62.
[60] M. van der Graaf, et al., Human prostate: multisection proton MR spectro-scopic imaging with a single spin-echo sequenceepreliminary experience, Radiology 213 (3) (1999) 919e925.
[61] T.W. Scheenen, et al., Optimal timing for in vivo 1H-MR spectroscopic im-aging of the human prostate at 3T, Magn. Reson Med. 53 (6) (2005) 1268e1274.
[62] C.H. Cunningham, et al., Sequence design for magnetic resonance spectro-scopic imaging of prostate cancer at 3 T, Magn. Reson Med. 53 (5) (2005) 1033e1039.
[63] M.J. Lynch, et al., Ultra highfield NMR spectroscopic studies on human seminalfluid, seminal vesicle and prostatic secretions, J. Pharm. Biomed. Anal. 12 (1) (1994) 5e19.
[64] N.J. Serkova, et al., The metabolites citrate, myo-inositol, and spermine are potential age-independent markers of prostate cancer in human expressed prostatic secretions, Prostate 68 (6) (2008) 620e628.
[65] E. Ackerstaff, et al., Detection of increased choline compounds with proton nuclear magnetic resonance spectroscopy subsequent to malignant trans-formation of human prostatic epithelial cells, Cancer Res. 61 (9) (2001) 3599e3603.
[66] K. Glunde, Z.M. Bhujwalla, Metabolic tumor imaging using magnetic reso-nance spectroscopy, Semin. Oncol. 38 (1) (2011) 26e41.
[67] M.G. Swanson, et al., Quantification of choline- and ethanolamine-containing metabolites in human prostate tissues using 1H HR-MAS total correlation spectroscopy, Magn. Reson Med. 60 (1) (2008) 33e40.
[68] G.F. Giskeodegard, et al., Spermine and citrate as metabolic biomarkers for assessing prostate cancer aggressiveness, PLoS One (4) (2013) 8 p. e62375. [69] R.J. Cohen, et al., Polyamines in prostatic epithelial cells and
adenocarci-noma; the effects of androgen blockade, Prostate 49 (4) (2001) 278e284.
[70] U. Dunzendorfer, D.H. Russell, Altered polyamine profiles in prostatic hy-perplasia and in kidney tumors, Cancer Res. 38 (8) (1978) 2321e2324. [71] M. van der Graaf, et al., Proton MR spectroscopy of prostatic tissue focused
on the detection of spermine, a possible biomarker of malignant behavior in prostate cancer, MAGMA 10 (3) (2000) 153e159.
[72] M. Basharat, et al., TE¼ 32 ms vs TE ¼ 100 ms echo-time (1)H-magnetic resonance spectroscopy in prostate cancer: Tumor metabolite depiction and absolute concentrations in tumors and adjacent tissues, J. Magn. Reson Im-aging 42 (4) (2015) 1086e1093.
[73] M. Basharat, et al., Evaluation of short-TE (1)H MRSI for quantification of metabolites in the prostate, NMR Biomed. 27 (4) (2014) 459e467. [74] W. Willker, U. Flogel, D. Leibfritz, A 1H/13C inverse 2D method for the
analysis of the polyamines putrescine, spermidine and spermine in cell ex-tracts and biofluids, NMR Biomed. 11 (2) (1998) 47e54.
[75] D.W. Klomp, et al., Detection of fully refocused polyamine spins in prostate cancer at 7 T, NMR Biomed. 24 (3) (2011) 299e306.
[76] A. Kassen, et al., Stromal cells of the human prostate: initial isolation and characterization, Prostate 28 (2) (1996) 89e97.
[77] T. Wallimann, et al., Intracellular compartmentation, structure and function of creatine kinase isoenzymes in tissues with high andfluctuating energy demands: the 'phosphocreatine circuit' for cellular energy homeostasis, Biochem. J. 281 (Pt 1) (1992) 21e40.
[78] W.R. Fair, et al., Prostatic cancer, acid phosphatase, creatine kinase-BB and race: a prospective study, J. Urol. 128 (4) (1982) 735e738.
[79] D.L. Langer, et al., Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corre-sponding histologic features, Radiology 255 (2) (2010) 485e494.
[80] A. Chatterjee, et al., Changes in epithelium, stroma, and lumen space correlate more Strongly with Gleason Pattern and are stronger Predictors of prostate ADC Changes than cellularity metrics, Radiology 277 (3) (2015) 751e762.
[81] U.G. Mueller-Lisse, et al., Magnetic resonance spectroscopy in patients with locally confined prostate cancer: association of prostatic citrate and meta-bolic atrophy with time on hormone deprivation therapy, PSA level, and biopsy Gleason score, Eur. Radiol. 17 (2) (2007) 371e378.
[82] I.K. Steinseifer, et al., Improved volume selective (1) H MR spectroscopic imaging of the prostate with gradient offset independent adiabaticity pulses at 3 tesla, Magn. Reson Med. 74 (4) (2015) 915e924.
[83] B.K. Sarkar, et al., novel biomarker for prostate cancer diagnosis by mrs, Front Biosci (Landmark Ed) 19 (2014) 1186e1201.
[84] F.A. Howe, et al., Metabolic profiles of human brain tumors using quantita-tive in vivo 1H magnetic resonance spectroscopy, Magn. Reson Med. 49 (2) (2003) 223e232.
[85] T. Kobus, et al., In vivo (1) H MR spectroscopic imaging of aggressive prostate cancer: can we detect lactate? Magn. Reson Med. 71 (1) (2014) 26e34. [86] T. Kahn, et al., Prostatic carcinoma and benign prostatic hyperplasia: MR
imaging with histopathologic correlation, Radiology 173 (3) (1989) 847e851.
[87] T. Kobus, et al., Contribution of histopathologic tissue composition to quantitative MR spectroscopy and diffusion-weighted imaging of the pros-tate, Radiology 278 (3) (2016) 801e811.
[88] J.J. Futterer, et al., Prostate cancer localization with dynamic contrast-enhanced MR imaging and proton MR spectroscopic imaging, Radiology 241 (2) (2006) 449e458.
[89] J.A. Jung, et al., Prostate depiction at endorectal MR spectroscopic imaging: investigation of a standardized evaluation system, Radiology 233 (3) (2004) 701e708.
[90] T.W. Scheenen, et al., Discriminating cancer from noncancer tissue in the prostate by 3-dimensional proton magnetic resonance spectroscopic imag-ing: a prospective multicenter validation study, Invest Radiol. 46 (1) (2011) 25e33.
[91] T. Kobus, et al., Prostate cancer aggressiveness: in vivo assessment of MR spectroscopy and diffusion-weighted imaging at 3 T, Radiology 265 (2) (2012) 457e467.
[92] T. Kobus, et al., In vivo assessment of prostate cancer aggressiveness using magnetic resonance spectroscopic imaging at 3 T with an endorectal coil, Eur. Urol. 60 (5) (2011) 1074e1080.
[93] E.K. Vos, et al., Multiparametric magnetic resonance imaging for discrimi-nating low-grade from high-grade prostate cancer, Invest Radiol. 50 (8) (2015) 490e497.
[94] F. Hering, S. Muller, P-31 Mr Spectroscopy and H-1 Mr Imaging of the human prostate Using a transrectal probe, Urological Res. 19 (6) (1991) 349e352. [95] P. Narayan, et al., Characterization of prostate-cancer, benign prostatic
Hy-perplasia and normal prostates using transrectal P-31 magnetic-resonance spectroscopy - a preliminary-report, J. Urology 146 (1) (1991) 66e74. [96] M.A. Thomas, et al., Detection of phosphorus metabolites in human prostates
with a transrectal P-31 nmr probe, J. Magn. Reson. 99 (2) (1992) 377e386. [97] T. Kobus, et al., In vivo 31P MR spectroscopic imaging of the human prostate
at 7 T: safety and feasibility, Magn. Reson Med. 68 (6) (2012) 1683e1695. [98] M.P. Luttje, et al., (31) P MR spectroscopic imaging combined with (1) H MR
spectroscopic imaging in the human prostate using a double tuned endor-ectal coil at 7T, Magn. Reson Med. 72 (6) (2014) 1516e1521.
[99] M.W. Lagemaat, et al., (31) P MR spectroscopic imaging of the human prostate at 7 T: T1 relaxation times, Nuclear Overhauser Effect, and spectral characterization, Magn. Reson Med. 73 (3) (2015) 909e920.
413e439.
[105] V. Govindaraju, K. Young, A.A. Maudsley, Proton NMR chemical shifts and coupling constants for brain metabolites, NMR Biomed. 13 (3) (2000) 129e153.
[106] L.O. Sillerud, et al., Invivo C-13 nmr-spectroscopy of the human-prostate, Magn. Reson. Med. 8 (2) (1988) 224e230.
[107] J.H. Ardenkjaer-Larsen, et al., Increase in signal-to-noise ratio of> 10,000 times in liquid-state NMR, Proc. Natl. Acad. Sci. U. S. A. 100 (18) (2003) 10158e10163.
[108] S.J. Nelson, et al., Metabolic imaging of patients with prostate cancer using hyperpolarized [1-C-13]Pyruvate, Sci. Transl. Med. (198) (2013) 5. [109] C.J. Daniels, et al., A comparison of quantitative methods for clinical imaging
with hyperpolarized 13C-pyruvate, NMR Biomed. 29 (4) (2016) 387e399.
[115] G.M. Villeirs, et al., Combined magnetic resonance imaging and spectroscopy in the assessment of high grade prostate carcinoma in patients with elevated PSA: a single-institution experience of 356 patients, Eur. J. Radiol. 77 (2) (2011) 340e345.
[116] A. Heerschap, et al., 1H MRS of prostate pathology, in: Proc Int Soc Magn Reson Med, 1993. New York, New York, USA.
[117] J. Weis, F. Ortiz-Nieto, H. Ahlstrom, MR spectroscopy of the prostate at 3T: measurements of relaxation times and quantification of prostate metabolites using water as an internal reference, Magn. Reson. Med. Sci. 12 (4) (2013) 289e296.
[118] J.P. Kavanagh, Sodium, potassium, calcium, magnesium, zinc, citrate and chloride content of human prostatic and seminalfluid, J. Reprod. Fertil. 75 (1) (1985) 35e41.