Discriminating Cancer From Noncancer Tissue in the Prostate by 3-Dimensional Proton Magnetic Resonance Spectroscopic Imaging

Scheenen, Tom W. J.; Fütterer, Jurgen J.; Weiland, Elisabeth; Hecke, Paul Van; Lemort, Marc; Zechmann, Christian M.; Schlemmer, Heinz Peter; Broome, Dale R.; Villeirs, Geert; Lu, Jianping; Barentsz, Jelle O.; Roell, Stefan; Heerschap, Arend

doi:10.1097/rli.0b013e3181f54081

Cited by 71 publications

(80 citation statements)

References 32 publications

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“…In the case of prostate cancer, the choline level is significantly elevated and the citrate content is reduced due to the metaplastic processes of the cell membranes. The relationship between these two metabolites can therefore be used as a measure of malignancy [30]. MR spectroscopy increases the specificity of the MRI examination in particular, Fig.…”

Section: Dynamic Contrast-enhanced (Dce) Mrimentioning

confidence: 99%

Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer

Durmus

Baur

Hamm

2014

Fortschr Röntgenstr

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!Prostate cancer is the most common malignancy in men, but only about 10 % of patients die from that cancer. Recent studies suggest that not all patients benefit from a radical therapeutic approach. When prostate cancer is suspected, magnetic resonance imaging (MRI) can make an important contribution to cancer localization within the prostate. Many studies show that T2-weighted morphologic imaging should be supplemented by multiparametric MRI techniques including diffusion-weighted imaging, contrast-enhanced sequences, and MR spectroscopy. This approach detects aggressive prostate cancer with high sensitivity and specificity. The findings of multiparametric MRI additionally contribute information to the assessment of cancer aggressiveness. The use of these multiparametric MRI techniques will gain an increasing role in the clinical management of prostate cancer patients. They can help in establishing a definitive diagnosis with a minimum of invasiveness and may also contribute to optimal individualized treatment. This review article presents the different techniques of multiparametric MRI and discusses their contribution to the detection of prostate cancer. Moreover, this review outlines an objective approach to image interpretation and structured reporting of MRI findings using the PI-RADS criteria. The review concludes with an outline of approaches to prostate biopsy on the basis of MRI (transrectal ultrasound, direct MRI guidance of tissue sampling, and MRI-ultrasound fusion biopsy) and emerging future uses of MRI in the planning of focal treatment options and in the active surveillance of patients diagnosed with prostate cancer.Citation Format:

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Section: Dynamic Contrast-enhanced (Dce) Mrimentioning

confidence: 99%

Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer

Durmus

Baur

Hamm

2014

Fortschr Röntgenstr

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“…Screening and early detection of prostate cancer are still quite controversial, since the existing methods lack sufficient diagnostic accuracy [89,90]. These dilemmas could potentially be surmounted by MRS and MRSI, which have shown promise in a number of aspects of prostate cancer diagnosis and management [91][92][93]. Still, MR-based modalities are not yet considered to be appropriate for screening [94].…”

Section: Applications Of the Fpt To Noiseless Time Signals From Prostmentioning

confidence: 99%

Padé optimization of noise-corrupted magnetic resonance spectroscopic time signals from fibroadenoma of the breast

Belkić

2014

J Math Chem

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We apply the fast Padé transform (FPT) to time signals as encoded via magnetic resonance spectroscopy (MRS) in breast fibroadenoma. Realistic levels of noise are considered. The conventional fast Fourier transform (FFT) is also used for comparison with the FPT. For N = 2048 signal points, the FFT generated uninformative total shape spectra with only a few distorted peaks, whereas the FPT yielded converged envelope spectra at partial signal length N P = 1700. To match the FPT based at time signals sampled at N = 2048, the FFT requires N = 65536 signal points, i.e. a 32-fold lengthening of each transient. Via the parametric FPT, at N P = 1700 all the resonances were resolved and metabolite concentrations precisely computed, including those that were almost completely overlapping (phosphocholine and phosphoethanolamine whose chemical shifts are separated by 0.001 parts per million). The multi-faceted signal-noise separation (SNS) procedure was applied through identification of pole-zero cancellations, zero or near zero amplitudes plus the stability test against different levels of noise. Via SNS, all the spurious resonances were confidently identified, thus leaving only genuine metabolites in the output list. Practical implications are underscored: the high resolution of the FPT will shorten the examination time of the patient. Using the FPT, the cancer biomarker phosphocholine, plus other informative metabolites can be identified and their concentrations exactly determined.

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“…The choline-plus-creatine-to-citrate (CC/C) ratio integrates metabolic information of both citrate and choline into one parameter. Since malignancy is associated with higher choline peaks and lower citrate peaks, higher CC/C ratios are increasingly more suggestive of prostate cancer [ 15,20,21 ] . In addition, a choline-to-creatine (C/C) ratio can be calculated, especially at 3 T, and higher C/C ratios are associated with prostate cancer [ 22 ] .…”

Section: Magnetic Resonance Spectroscopymentioning

confidence: 99%