Literature DB >> 32918577

Comparison of PI-RADS version 2.1 and PI-RADS version 2 regarding interreader variability and diagnostic accuracy for transition zone prostate cancer.

Lili Xu1, Gumuyang Zhang1, Daming Zhang1, Xiaoxiao Zhang1, Xin Bai1, Weigang Yan2, Yi Zhou2, Zhien Zhou2, Yu Xiao3, Zhengyu Jin4, Hao Sun5.   

Abstract

PURPOSE: To compare the diagnostic performance of PI-RADS version 2.1 (PI-RADS v2.1) and PI-RADS v2 for transition zone prostate cancer (TZPC), and analyse its performance for readers with different experience levels.
METHODS: Eighty-five patients with suspected prostate cancer who underwent biopsy after MRI scan between January and December 2017 were retrospectively enrolled. One junior radiologist (reader 1, 1 year of experience in using PI-RADS v2) and one senior radiologist (reader 2, 6 years of experience) independently reviewed and assigned a score for each lesion according to PI-RADS v2.1 and v2. The template-guided transperineal prostate biopsy was used for standard of reference. To compare the diagnostic performance of the two methods, the AUC was calculated. The sensitivity, specificity, and accuracy were calculated at predefined positive values (PI-RADS ≥ 3). The interreader agreement and frequency of prostate cancer for each PI-RADS category were also calculated.
RESULTS: Among the 85 patients, 27 had prostate cancers, and 25 were clinically significant prostate cancer (csPCa). The AUC values for diagnosing clinically significant prostate cancer significantly increased with PI-RADS v2.1 for reader 2 (0.766 vs. 0.902, P = 0.009). The specificity and accuracy for both readers also increased with PI-RADS v2.1 (specificity: reader 1, 41.7% vs. 78.3% and reader 2, 33.3% vs. 81.7%; accuracy: reader 1, 52.9% vs. 76.5% and reader 2, 48.2% vs. 83.5%, all P < 0.05). The interreader agreement was good for both versions. The percentage of prostate cancer decreased in lower PI-RADS categories (PI-RADS 2) and increased in higher PI-RADS categories (PI-RADS 3 ~ 4).
CONCLUSION: Compared with PI-RADS v2, PI-RADS v2.1 may improve radiologists' diagnostic performance for TZPC.

Entities:  

Keywords:  Magnetic resonance imaging; Neoplasm grading; Prostate imaging reporting and data system; Prostatic neoplasms

Mesh:

Year:  2020        PMID: 32918577     DOI: 10.1007/s00261-020-02738-6

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  5 in total

1.  Comparison of diagnostic performance and inter-reader agreement between PI-RADS v2.1 and PI-RADS v2: systematic review and meta-analysis.

Authors:  Chau Hung Lee; Balamurugan Vellayappan; Cher Heng Tan
Journal:  Br J Radiol       Date:  2021-09-14       Impact factor: 3.039

2.  Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate Cancer.

Authors:  Mou Li; Ling Yang; Yufeng Yue; Jingxu Xu; Chencui Huang; Bin Song
Journal:  Front Oncol       Date:  2021-02-17       Impact factor: 6.244

3.  Deep Learning in Prostate Cancer Diagnosis Using Multiparametric Magnetic Resonance Imaging With Whole-Mount Histopathology Referenced Delineations.

Authors:  Danyan Li; Xiaowei Han; Jie Gao; Qing Zhang; Haibo Yang; Shu Liao; Hongqian Guo; Bing Zhang
Journal:  Front Med (Lausanne)       Date:  2022-01-13

4.  The Role of PSA Density among PI-RADS v2.1 Categories to Avoid an Unnecessary Transition Zone Biopsy in Patients with PSA 4-20 ng/mL.

Authors:  Zhi-Bing Wang; Chao-Gang Wei; Yue-Yue Zhang; Peng Pan; Guang-Cheng Dai; Jian Tu; Jun-Kang Shen
Journal:  Biomed Res Int       Date:  2021-10-11       Impact factor: 3.411

Review 5.  [PI-RADS 2.1 and structured reporting of magnetic resonance imaging of the prostate].

Authors:  Andreas Hötker; Olivio F Donati
Journal:  Radiologe       Date:  2021-07-02       Impact factor: 0.635

  5 in total

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