Literature DB >> 30171296

Assessment of PI-RADS v2 categories ≥ 3 for diagnosis of clinically significant prostate cancer.

Nayana U Patel1, Kimberly E Lind2,3, Kavita Garg4, David Crawford5, Priya N Werahera6, Sajal S Pokharel4,7.   

Abstract

PURPOSE: To assess the diagnostic accuracy of PI-RADS v2 categories ≥ 3 to detect clinically significant prostate cancer (csPCa) against histopathology of Transperineal Mapping Biopsy (TPMB).
MATERIALS AND METHODS: IRB-approved retrospective cohort study included 47 men who had 3.0 T multi-parametric MRI (mpMRI) and TPMB of prostate. Two radiologists independently evaluated T2, DWI, ADC map, and DCE images using PI-RADS v2 categories. A third radiologist served as tie-breaker. PI-RADS v2 score (PS) ≥ 3 lesions were correlated with 3D model of TPMB (3DTPMB) results based on prostate sectors. Two groups of csPCa status were separately analyzed for accuracy measures at lesion and person levels: Group 1 with GS (Gleason Score) ≥ 7 and group 2 with tumor volume ≥ 0.5 cc. Inter-rater reliability for PS and MR lexicon was calculated.
RESULTS: Forty-seven patients with 3DTPMB had at least one lesion with PS ≥ 3 on mpMRI. PS of 5 had high PPV and high specificity of 100% at the lesion and person levels. Sensitivity of a PS ≥ 3 was 68.27% for group 1 and was 48.39% for group 2. Specificity was 93.56% for group 1 and was 95.53% for group 2. At the person level, sensitivity of PS ≥ 3 was 81.25% for group 1 and was 82.35% for group 2. Specificity was 32.26% for group 1 and was 53.85% for group 2.
CONCLUSION: PI-RADS v2 category of 5 had high PPV and specificity; however, combined PS ≥ 3 had mixed performance in detection of csPCa.

Entities:  

Keywords:  Clinically significant prostate cancer; Multi-parametric MRI; PI-RADS v2; Prostate MRI; Prostate cancer

Mesh:

Year:  2019        PMID: 30171296     DOI: 10.1007/s00261-018-1751-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  10 in total

1.  Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel.

Authors:  Antonio C Westphalen; Charles E McCulloch; Jordan M Anaokar; Sandeep Arora; Nimrod S Barashi; Jelle O Barentsz; Tharakeswara K Bathala; Leonardo K Bittencourt; Michael T Booker; Vaughn G Braxton; Peter R Carroll; David D Casalino; Silvia D Chang; Fergus V Coakley; Ravjot Dhatt; Steven C Eberhardt; Bryan R Foster; Adam T Froemming; Jurgen J Fütterer; Dhakshina M Ganeshan; Mark R Gertner; Lori Mankowski Gettle; Sangeet Ghai; Rajan T Gupta; Michael E Hahn; Roozbeh Houshyar; Candice Kim; Chan Kyo Kim; Chandana Lall; Daniel J A Margolis; Stephen E McRae; Aytekin Oto; Rosaleen B Parsons; Nayana U Patel; Peter A Pinto; Thomas J Polascik; Benjamin Spilseth; Juliana B Starcevich; Varaha S Tammisetti; Samir S Taneja; Baris Turkbey; Sadhna Verma; John F Ward; Christopher A Warlick; Andrew R Weinberger; Jinxing Yu; Ronald J Zagoria; Andrew B Rosenkrantz
Journal:  Radiology       Date:  2020-04-21       Impact factor: 11.105

Review 2.  More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis-A Systematic Review.

Authors:  Teodora Telecan; Iulia Andras; Nicolae Crisan; Lorin Giurgiu; Emanuel Darius Căta; Cosmin Caraiani; Andrei Lebovici; Bianca Boca; Zoltan Balint; Laura Diosan; Monica Lupsor-Platon
Journal:  J Pers Med       Date:  2022-06-16

3.  New Diagnostic Model for Clinically Significant Prostate Cancer in Biopsy-Naïve Men With PIRADS 3.

Authors:  Chen Huang; Feng Qiu; Di Jin; Xuedong Wei; Zongxin Chen; Ximing Wang; Xiaojun Zhao; Linchuan Guo; Jinxian Pu; Jianquan Hou; Yuhua Huang
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

4.  A prostate cancer risk calculator: Use of clinical and magnetic resonance imaging data to predict biopsy outcome in North American men.

Authors:  Adam Kinnaird; Wayne Brisbane; Lorna Kwan; Alan Priester; Ryan Chuang; Danielle E Barsa; Merdie Delfin; Anthony Sisk; Daniel Margolis; Ely Felker; Jim Hu; Leonard S Marks
Journal:  Can Urol Assoc J       Date:  2022-03       Impact factor: 2.052

5.  The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region.

Authors:  Martina Martins; Stefano Regusci; Stephane Rohner; Ildiko Szalay-Quinodoz; Georges-Antoine De Boccard; Louise Strom; Gerjon Hannink; Sonia Ramos-Pascual; Charles Henry Rochat
Journal:  BJUI Compass       Date:  2020-11-28

6.  Multiparametric Magnetic Resonance Imaging, 68Ga Prostate-Specific Membrane Antigen Positron Emission Tomography-Computed Tomography, and Respective Quantitative Parameters in Detection and Localization of Clinically Significant Prostate Cancer in Intermediate- and High-Risk Group Patients: An Indian Demographic Study.

Authors:  Vijay Kubihal; Sanjay Sharma; Rakesh Kumar; Amlesh Seth; Rajeev Kumar; Seema Kaushal; Jayati Sarangi; Ravikant Gupta; Chandan Jyoti Das
Journal:  Indian J Nucl Med       Date:  2021-12-15

7.  Transperineal prostate biopsy identifies locations of clinically significant prostate cancer in men considering focal therapy with PI-RADS 3-5 regions of interest.

Authors:  Nelson Stone; Vassilios Skouteris; Samuel Chang; Athanasios Klimis; M Scott Lucia
Journal:  BJUI Compass       Date:  2021-10-05

8.  Prospective evaluation of PI-RADS v2 and quantitative MRI for clinically significant prostate cancer detection in Indian men - East meets West.

Authors:  Vijay Kubihal; Vikas Kundra; Vivek Lanka; Sanjay Sharma; Prasenjit Das; Rishi Nayyar; Chandan J Das
Journal:  Arab J Urol       Date:  2022-05-15

9.  Performance of multi-parametric magnetic resonance imaging through PIRADS scoring system in biopsy naïve patients with suspicious prostate cancer.

Authors:  Amr Nowier; Hesham Mazhar; Rasha Salah; Mohamed Shabayek
Journal:  Arab J Urol       Date:  2022-04-24

10.  Diagnostic Performance of PI-RADS v2, Proposed Adjusted PI-RADS v2 and Biparametric Magnetic Resonance Imaging for Prostate Cancer Detection: A Preliminary Study.

Authors:  Guan-Hui Cai; Qi-Hua Yang; Wen-Bo Chen; Qing-Yu Liu; Yu-Rong Zeng; Yu-Jing Zeng
Journal:  Curr Oncol       Date:  2021-05-12       Impact factor: 3.677

  10 in total

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