Literature DB >> 25006636

Multiparametric MRI for prostate cancer detection: performance in patients with prostate-specific antigen values between 2.5 and 10 ng/mL.

Antonella Petrillo, Roberta Fusco, Sergio V Setola, Francesco M Ronza, Vincenza Granata, Mario Petrillo, Guglielmo Carone, Mario Sansone, Renato Franco, Franco Fulciniti, Sisto Perdonà.   

Abstract

PURPOSE: To assess the diagnostic performance of multiparametric MRI (mpMRI), in the detection of prostate cancer, including morphologic sequences (mMRI), diffusion-weighted imaging (DWI), and MR spectroscopy (MRS). Combined morphological and functional MRI scoring systems was used for urological–radiological work-up of patients with a prostate-specific antigen (PSA) value ≤ 10 ng/mL.
MATERIALS AND METHODS: The study included 136 of 200 consecutive patients with PSA values between 2.5 and 4 ng/mL and an abnormal digital rectal examination (DRE), or patients with PSA values between 4 and 10 ng/mL, independently from DRE. Each patient provided informed consent to undergo at serum free/total PSA ratio (f/t PSA) assay, mMRI, MRS, DWI, and transrectal ultrasonography (TRUS) biopsy. The MRI datasets were scored singularly; then mMRI and DWI, mMRI and MRS data were combined in a coupled score, and finally mMRI, DWI, and MRS data were combined in a single score (cMRI score).
RESULTS: Scores were correlated to negative biopsies and significant/insignificant Gleason score biopsies. Receiver-operator-characteristic curve and McNemar tests were performed. Cancer was diagnosed in 18% of patients. The cMRI score showed: (i) the highest sensitivity (0.84) and negative predictive value (0.93); (ii) a significant correlation with Gleason score; and (iii) a statistically different median value between significant and insignificant Gleason score.
CONCLUSION: The cMRI score could identify patients with a PSA≤10 ng/mL who will have a negative work-up, for its high negative predictive value, and patients at high risk for significant prostate cancer because of its correlation with the Gleason score

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Year:  2014        PMID: 25006636     DOI: 10.1002/jmri.24269

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

Review 1.  Current role of multiparametric magnetic resonance imaging for prostate cancer.

Authors:  Romaric Loffroy; Olivier Chevallier; Morgan Moulin; Sylvain Favelier; Pierre-Yves Genson; Pierre Pottecher; Gilles Crehange; Alexandre Cochet; Luc Cormier
Journal:  Quant Imaging Med Surg       Date:  2015-10

Review 2.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

Review 3.  Multiparametric-MRI in diagnosis of prostate cancer.

Authors:  Sangeet Ghai; Masoom A Haider
Journal:  Indian J Urol       Date:  2015 Jul-Sep

4.  1.5-Tesla Multiparametric-Magnetic Resonance Imaging for the detection of clinically significant prostate cancer.

Authors:  Cristian Popita; Anca Raluca Popita; Adela Sitar-Taut; Bogdan Petrut; Bogdan Fetica; Ioan Coman
Journal:  Clujul Med       Date:  2017-01-15

Review 5.  A systematic review on multiparametric MR imaging in prostate cancer detection.

Authors:  Roberta Fusco; Mario Sansone; Vincenza Granata; Sergio Venanzio Setola; Antonella Petrillo
Journal:  Infect Agent Cancer       Date:  2017-10-30       Impact factor: 2.965

6.  The diagnostic accuracy of high b-value diffusion- and T2-weighted imaging for the detection of prostate cancer: a meta-analysis.

Authors:  Tom J Syer; Keith C Godley; Donnie Cameron; Paul N Malcolm
Journal:  Abdom Radiol (NY)       Date:  2018-07

7.  Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis.

Authors:  Weiguo Cai; Dongyong Zhu; Sama Byanju; Jie Chen; Hanfei Zhang; Yanfang Wang; Meiyan Liao
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

8.  Multiparametric MRI reporting using Prostate Imaging Reporting and Data System version 2.0 (PI-RADSv2) retains clinical efficacy in a predominantly post-biopsy patient population.

Authors:  Edwin Jonathan Aslim; Yan Mee Law; Puay Hoon Tan; John Carson Allen; Lionel Tim-Ee Cheng; Viswanath Anand Chidambaram; Li Yan Khor; Benjamin Yongcheng Tan; Ernest Wencong Eu; Christopher Wai Sam Cheng; John Shyi Peng Yuen; Henry Sun Sien Ho; Lui Shiong Lee
Journal:  Asian J Urol       Date:  2018-06-01

9.  Histogram analysis of prostate cancer on dynamic contrast-enhanced magnetic resonance imaging: A preliminary study emphasizing on zonal difference.

Authors:  Chih-Ching Lai; Pin-Hsun Huang; Fu-Nien Wang; Shu-Huei Shen; Hsin-Kai Wang; Hsian-Tzu Liu; Hsiao-Jen Chung; Tzu-Ping Lin; Yen-Hwa Chang; Chin-Chen Pan; Shin-Lei Peng
Journal:  PLoS One       Date:  2019-02-12       Impact factor: 3.240

10.  Accuracy of multiparametric magnetic resonance imaging for diagnosing prostate Cancer: a systematic review and meta-analysis.

Authors:  Liang Zhen; Xiaoqiang Liu; Chen Yegang; Yang Yongjiao; Xu Yawei; Kang Jiaqi; Wang Xianhao; Song Yuxuan; Hu Rui; Zhang Wei; Ou Ningjing
Journal:  BMC Cancer       Date:  2019-12-23       Impact factor: 4.430

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