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Journal ArticleDOI

Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

TLDR
The PI-RADS Steering Committee, using a consensus-based process, has recommended several modifications to PI- RADS v2, maintaining the framework of assigning scores to individual sequences and using these scores to derive an overall assessment category.
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This article is published in European Urology.The article was published on 2019-09-01. It has received 1053 citations till now. The article focuses on the topics: PI-RADS.

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Citations
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

TL;DR: U-Net trained with T2-weighted and diffusion MRI achieves similar performance to clinical Prostate Imaging Reporting and Data System assessment in the task of detection and segmentation of lesions suspicious for sPC.
Journal ArticleDOI

AI applications to medical images: From machine learning to deep learning.

TL;DR: In this article, the authors focus on challenges points to be clarified about how to develop AI applications as clinical decision support systems in the real-world context and highlight specific challenges to facilitate the development of such systems and their translation to clinical practice.
References
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Journal ArticleDOI

PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2

TL;DR: The Prostate Imaging - Reporting and Data System Version 2 (PI-RADS™ v2) simplifies and standardizes terminology and content of reports, and provides assessment categories that summarize levels of suspicion or risk of clinically significant prostate cancer that can be used to assist selection of patients for biopsies and management.
Journal ArticleDOI

Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice

TL;DR: A robust understanding ofDKI is necessary for radiologists to better understand the meaning of DKI‐derived metrics in the context of different tumors and how these metrics vary between tumor types and in response to treatment.
Journal ArticleDOI

Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review and Diagnostic Meta-analysis

TL;DR: The updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) shows significant improvement compared with the original PI-R ADSv1, and shows good performance for the detection of PCa.
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