Literature DB >> 21419565

In vivo assessment of prostate cancer aggressiveness using magnetic resonance spectroscopic imaging at 3 T with an endorectal coil.

Thiele Kobus1, Thomas Hambrock, Christina A Hulsbergen-van de Kaa, Alan J Wright, Jelle O Barentsz, Arend Heerschap, Tom W J Scheenen.   

Abstract

BACKGROUND: One of the most important clinical challenges in prostate cancer (PCa) management is an in vivo assessment of cancer aggressiveness.
OBJECTIVE: To validate the performance of magnetic resonance (MR) spectroscopic imaging (MRSI) of the prostate at 3 T for the purpose of assessing tumour aggressiveness based on the ratio of choline plus creatine to citrate (Cho+Cr/Cit) and of choline to creatine (Cho/Cr), using the Gleason score of the radical prostatectomy (RP) specimen as the gold standard. DESIGN, SETTING, AND PARTICIPANTS: A total of 43 biopsy-proven PCa patients with 53 clinically relevant tumour foci were retrospectively included in this study. MEASUREMENTS: Patients underwent MR imaging and MRSI examination followed by RP. From MRSI, all spectroscopy voxels containing tumour were selected by a radiologist guided by the prostatectomy histopathology map only. For each tumour, two spectroscopists determined the maximum Cho+Cr/Cit, Cho/Cr, and malignancy rating using a standardised threshold approach, incorporating both metabolic ratios. The maximum Cho+Cr/Cit, Cho/Cr, and malignancy ratings showed a relation to tumour aggressiveness and so were used to differentiate among tumour aggressiveness classes. RESULTS AND LIMITATIONS: The maximum Cho+Cr/Cit ratio, maximum Cho/Cr ratio, and malignancy rating of a standardised threshold approach separated low-grade from higher-grade tumours, with areas under the receiver operating characteristic (ROC) curves of 0.70, 0.74, and 0.78, respectively.
CONCLUSIONS: MRSI offers possibilities for an in vivo, noninvasive assessment of PCa aggressiveness. The combination of the different metabolite ratios was used with promising results for discrimination among different aggressiveness classes.
Copyright © 2011 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21419565     DOI: 10.1016/j.eururo.2011.03.002

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  26 in total

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Authors:  Michael R Abern; Matvey Tsivian; Thomas J Polascik
Journal:  Curr Urol Rep       Date:  2012-04       Impact factor: 3.092

2.  Imaging: MRSI can potentially differentiate between aggressive and indolent prostate cancer.

Authors:  Nick Warde
Journal:  Nat Rev Urol       Date:  2011-05       Impact factor: 14.432

Review 3.  Multiparametric MRI for prostate cancer diagnosis: current status and future directions.

Authors:  Armando Stabile; Francesco Giganti; Andrew B Rosenkrantz; Samir S Taneja; Geert Villeirs; Inderbir S Gill; Clare Allen; Mark Emberton; Caroline M Moore; Veeru Kasivisvanathan
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Review 5.  Metabolic Imaging in Humans.

Authors:  Taylor L Fuss; Leo L Cheng
Journal:  Top Magn Reson Imaging       Date:  2016-10

Review 6.  Prostate cancer detection and diagnosis: the role of MR and its comparison with other diagnostic modalities--a radiologist's perspective.

Authors:  Tobias Penzkofer; Clare M Tempany-Afdhal
Journal:  NMR Biomed       Date:  2013-09-03       Impact factor: 4.044

7.  Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.

Authors:  Pallavi Tiwari; John Kurhanewicz; Anant Madabhushi
Journal:  Med Image Anal       Date:  2012-12-13       Impact factor: 8.545

Review 8.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

9.  A prospective study of the efficacy of magnetic resonance spectroscopy imaging for predicting locally advanced prostate cancer.

Authors:  Ali Razi; Mehdi Kardoust Parizi; Seid Mohammad Kazemeini; Akbar Abedi
Journal:  Turk J Urol       Date:  2015-06

Review 10.  Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.

Authors:  John V Hegde; Robert V Mulkern; Lawrence P Panych; Fiona M Fennessy; Andriy Fedorov; Stephan E Maier; Clare M C Tempany
Journal:  J Magn Reson Imaging       Date:  2013-05       Impact factor: 4.813

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