Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: This study evaluated inter-/intra-reader agreement with the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 to improve the detection rate of prostate cancer.

Materials And Methods: We enrolled 210 patients who underwent multiparametric magnetic resonance imaging (mpMRI) for clinically suspected or diagnosed prostate cancer. Four readers, including two urologists, viewed patients' mpMRI and scored PI-RADS between two sessions, including the time for feedback and training after the first reading session. Inter- and intra-reader agreements were evaluated using Fleiss' kappa coefficient (κ), agreement coefficient 1 (AC1), and percentage of agreement (PA).

Results: The overall inter-reader agreement between all readers was moderate (κ=0.466, AC1=0.522, and PA=0.610). The overall inter-reader agreement improved in the second session. The agreement for peripheral zone (PZ) lesions was higher than that for transitional zone (TZ) lesions. At a PI-RADS cut-off of 4, the agreement for PZ lesions was almost perfect (PA=0.888) and higher than that for TZ lesions. The inter-reader agreement for lesions with a PI-RADS ≥4 and Gleason score ≥7 was almost perfect (AC1=0.960 and PA=0.964). The intra-reader agreement for lesions overall and PI-RADS ≥4 lesions were substantial (AC1=0.601) and almost perfect (PA=0.876), respectively.

Conclusions: Readers achieved moderate agreement for PI-RADS version 2.1 and benefitted from training sessions. Feedback, training, and multidisciplinary discussions also improved inter-reader agreement. Our study can provide guidance, updates, and further steps for the standardization and improvement of PI-RADS scoring.

Download full-text PDF

Source
http://dx.doi.org/10.4111/icu.20250208DOI Listing

Publication Analysis

Top Keywords

inter-reader agreement
16
agreement
12
lesions pi-rads
12
agreement lesions
12
inter-/intra-reader agreement
8
agreement prostate
8
prostate imaging
8
imaging reporting
8
reporting data
8
data system
8

Similar Publications

Objective: To evaluate multiparametric MRI features of pediatric soft-tissue sarcomas, comparing pre-treatment and post-treatment features, and assessing correlation with clinical outcomes.

Materials And Methods: Retrospective cohort study, including pediatric patients (≤ 18 years) with histologically-confirmed soft-tissue sarcomas who underwent MRI with anatomic and functional sequences in consecutive series. Post-treatment MRI was available for a subset, and features were recorded by two readers.

View Article and Find Full Text PDF

Introduction: Precise prediction of pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in rectal cancer may identify candidates for non-operative management. The optimal selection of diagnostic tools is therefore of major clinical importance.

Methods: Clinical, laboratory, endoscopic and radiological data of patients with rectal cancer treated with nCRT and surgery at an academic medical center from 2010 to 2020 were retrospectively collected.

View Article and Find Full Text PDF

Deep learning-based detection of ascending aortic dilatation on chest radiographs: A diagnostic study.

Eur J Radiol

August 2025

Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Beomeo-ri, Mulgeum-eup, Yangsan-si 626-770 Gyeongsangnam-do, Republic of Korea. Electronic address: kschoo061

Objectives: This study externally tests the performance of an artificial intelligence algorithm (AI) for diagnosing ascending aortic dilatation (AAD) using PA view chest radiography (PA CXR).

Materials And Methods: Two retrospectively collected cohorts with paired CXR/CT within 30 days (Group 1) and 90 days (Group 2) were gathered as external test sets. The performance of AI (DeepCatch X Aorta v1.

View Article and Find Full Text PDF

Purpose: This study evaluated inter-/intra-reader agreement with the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 to improve the detection rate of prostate cancer.

Materials And Methods: We enrolled 210 patients who underwent multiparametric magnetic resonance imaging (mpMRI) for clinically suspected or diagnosed prostate cancer.

View Article and Find Full Text PDF

Automated coronary analysis in ultrahigh-spatial resolution photon-counting detector CT angiography: Clinical validation and intra-individual comparison with energy-integrating detector CT.

J Cardiovasc Comput Tomogr

September 2025

Department of Radiology and Radiological Science, Medical University of South Carolina, SC, USA; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome, Italy.

Objectives: To evaluate a deep-learning algorithm for automated coronary artery analysis on ultrahigh-resolution photon-counting detector coronary computed tomography (CT) angiography and compared its performance to expert readers using invasive coronary angiography as reference.

Methods: Thirty-two patients (mean age 68.6 years; 81 ​% male) underwent both energy-integrating detector and ultrahigh-resolution photon-counting detector CT within 30 days.

View Article and Find Full Text PDF