Literature DB >> 28391284

Gleason Score within Prostate Abnormal Areas Defined by Multiparametric Magnetic Resonance Imaging Did Not Vary According to the PIRADS Score.

Hakim Slaoui1, Yann Neuzillet, Tarek Ghoneim, Mathieu Rouanne, Abdelali Abdou, Pierre Marie Lugagne-Delpon, Antoine Scherrer, Camelia Radulescu, Christian Delancourt, Vincent Molinié, Thierry Lebret.   

Abstract

BACKGROUND: We aim to correlate multiparametric magnetic resonance imaging (mpMRI) of the prostate reporting (Prostate Imaging Reporting and Data System [PI-RADS] version 2) with the Gleason score into both radical prostatectomy (RP) specimen and MRI fusion-targeted biopsies (FTB).
METHODS: mpMRI of 74 patients who underwent an RP after FTB were retrospectively reviewed. The Gleason score distribution was compared according to the PI-RADS score using the Kruskal-Wallis test. Results were compared to those of the mpMRI-guided biopsy of the same anatomical zone. For comparison, 903 RP specimen and their corresponding classical biopsies were also reviewed. Cohen's kappa concordance test was used to compare biopsies and prostatectomy specimen analyses.
RESULTS: An exact match between Gleason grade in RP specimen and FTB was found in 62% of the cases. There was no significant difference in Gleason score ≤7 (3 + 4) vs. ≥7 (4 + 3) distribution according to the PI-RADS scores (p = 0.096). Overall, Kappa coefficients were similar with MRI-targeted biopsies compared to classical biopsies (κ = 0.378, 95% CI [0.194-0.563], and κ = 0.316, 95% CI [0.259-0.374], respectively).
CONCLUSIONS: PI-RADS score was not associated with significant differences regarding Gleason score distribution within target. Moreover, concordance of Gleason score in both MRI-targeted and classical biopsies with those within target in RP specimen was weak.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Gleason; Magnetic resonance imaging; Prostate cancer; Radical prostatectomy; Targeted biopsy

Mesh:

Year:  2017        PMID: 28391284     DOI: 10.1159/000468947

Source DB:  PubMed          Journal:  Urol Int        ISSN: 0042-1138            Impact factor:   2.089


  7 in total

1.  Development and testing quantitative metrics from multi-parametric magnetic resonance imaging that predict Gleason score for prostate tumors.

Authors:  Rulon Mayer; Charles B Simone; Baris Turkbey; Peter Choyke
Journal:  Quant Imaging Med Surg       Date:  2022-03

2.  Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score.

Authors:  Rulon Mayer; Baris Turkbey; Peter Choyke; Charles B Simone
Journal:  Quant Imaging Med Surg       Date:  2022-07

Review 3.  Imaging as a Personalized Biomarker for Prostate Cancer Risk Stratification.

Authors:  Kyle H Gennaro; Kristin K Porter; Jennifer B Gordetsky; Samuel J Galgano; Soroush Rais-Bahrami
Journal:  Diagnostics (Basel)       Date:  2018-11-30

4.  Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association.

Authors:  Fuat Kızılay; Serdar Çelik; Sinan Sözen; Bora Özveren; Saadettin Eskiçorapçı; Mahir Özgen; Haluk Özen; Bülent Akdoğan; Güven Aslan; Fehmi Narter; Çağ Çal; Levent Türkeri
Journal:  Prostate Int       Date:  2020-02-08

5.  Quantitative ultrasound shear wave elastography (USWE)-measured tissue stiffness correlates with PIRADS scoring of MRI and Gleason score on whole-mount histopathology of prostate cancer: implications for ultrasound image-guided targeting approach.

Authors:  Wael Ageeli; Cheng Wei; Xinyu Zhang; Magdalena Szewcyk-Bieda; Jennifer Wilson; Chunhui Li; Ghulam Nabi
Journal:  Insights Imaging       Date:  2021-07-08

6.  Discrimination between clinical significant and insignificant prostate cancer with apparent diffusion coefficient - a systematic review and meta analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  BMC Cancer       Date:  2020-05-27       Impact factor: 4.430

7.  Prediction of Clinically Significant Cancer Using Radiomics Features of Pre-Biopsy of Multiparametric MRI in Men Suspected of Prostate Cancer.

Authors:  Chidozie N Ogbonnaya; Xinyu Zhang; Basim S O Alsaedi; Norman Pratt; Yilong Zhang; Lisa Johnston; Ghulam Nabi
Journal:  Cancers (Basel)       Date:  2021-12-09       Impact factor: 6.639

  7 in total

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