Results 21 to 30 of about 442,345 (289)

PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway [PDF]

Radiology, 2019
High-quality evidence shows that MRI in biopsy-naive men can reduce the number of men who need prostate biopsy and can reduce the number of diagnoses of clinically insignificant cancers that are unlikely to cause harm. In men with prior negative biopsy results who remain under persistent suspicion, MRI improves the detection and localization of life ...
Anwar R. Padhani, Jelle Barentsz, Geert Villeirs, Andrew B. Rosenkrantz, Daniel J. Margolis, Baris Turkbey, Harriet C. Thoeny, François Cornud, Masoom A. Haider, Katarzyna J. Macura, Clare M. Tempany, Sadhna Verma, Jeffrey C. Weinreb   +12 more
openaire   +4 more sources

Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer [PDF]

European Radiology, 2020
Abstract Objectives To assess the discriminatory power of lexicon terms used in PI-RADS version 2 to describe MRI features of prostate lesions. Methods Four hundred fifty-four patients were included in this retrospective, institutional review board–approved study.
Madhuri M. Rudolph, Alexander D. J. Baur, Matthias Haas, Hannes Cash, Kurt Miller, Samy Mahjoub, Alexander Hartenstein, David Kaufmann, Roman Rotzinger, Chau Hung Lee, Patrick Asbach, Bernd Hamm, Tobias Penzkofer   +12 more
openaire   +3 more sources

Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging

, 2022
Prostate cancer (PCa) is the most common type of cancer among men. Digital rectal examination and prostate-specific antigen (PSA) tests are used to diagnose the PCa accurately.
Ozal Yildirim, Mehmet Sezai Ogras, Murat Karabatak, Yildirim, Ozal, Eryesil, Hasan, Karabatak, Murat, Muhammed Talo, Talo, Muhammed, Hakan Artas, Hasan Eryesil, Ogras, Mehmet Sezai, Kadir Yildirim, Artas, Hakan, U Rajendra Acharya, Acharya, U Rajendra, Yildirim, Muhammed, Yildiri, Kadir, Muhammed Yildirim   +17 more
core   +1 more source

Machine learning-based analysis of a semi-automated PI-RADS v2.1 scoring for prostate cancer

Frontiers in Oncology, 2022
BackgroundProstate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) was developed to standardize the interpretation of multiparametric MRI (mpMRI) for prostate cancer (PCa) detection.
Dharmesh Singh, Virendra Kumar, Chandan J. Das, Anup Singh, Anup Singh, Amit Mehndiratta, Amit Mehndiratta   +6 more
doaj   +1 more source

How does PI-RADS v2.1 impact patient classification? A head-to-head comparison between PI-RADS v2.0 and v2.1

, 2021
Background PI-RADS classification has recently been updated, with the magnitude of changes implemented currently unknown. Purpose To quantify the categorization shifts between PI-RADS v2.0 and v2.1.
Linhares Moreira, Ana Sofia, Villeirs, Geert, Van Praet, CharlesGE38UZGent0020053296018020014731230000-0002-4467-08290E596C64-F0EE-11E1-A9DE-61C894A0A6B4, Villeirs, GeertGE32UZGent0019860020468010020829310000-0002-9073-3341F80CC410-F0ED-11E1-A9DE-61C894A0A6B4, De Visschere, Pieter, Van Praet, Charles, De Visschere, PieterGE32UZGent0019974248088020023092420000-0002-4842-787785878622-C7A5-11E5-9231-2975B5D1D7B1   +6 more
core   +1 more source

Improving the understanding of PI-RADS in practice: characters of PI-RADS 4 and 5 lesions with negative biopsy

Asian Journal of Andrology, 2023
The Prostate Imaging Reporting and Data System (PI-RADS) has good ability to identify the nature of lesions on prostate magnetic resonance imaging (MRI). However, some lesions are still reported as PI-RADS 4 and 5 but are biopsy-proven benign. Herein, we aimed to summarize the reasons for the negative prostate biopsy of patients who were assessed as PI-
Yu-Hao Wang, Chao Liang, Fei-Peng Zhu, Tian-Ren Zhou, Jie Li, Zeng-Jun Wang, Bian-Jiang Liu   +6 more
openaire   +3 more sources

Index lesion detection in multifocal prostate cancer: Simplified PI-RADS biparametric MRI vs PI-RADS v2.1 multiparametric MRI

, 2023
Objective: To assess the diagnostic performance of simplified PI-RADS (S-PI-RADS) with biparametric MRI (bpMRI) vs PI-RADS v2.1 with multiparametric MRI (mpMRI) in identifying lesion index (IL) in patients with multifocal prostate cancer (PCa)., The ...
Scialpi M., Improta A., Torre R., Mancioli F. M., Scialpi P., Aisa M. C., Burani A., Santini N., Scalera G. B., Belatti E., D'Andrea A., Martorana E., Di Blasi A.   +12 more
core   +1 more source

PI-RADS v2.1: движение на пути к ясности (комментарии к обновленной версии) [PDF]

, 2020
Previously presented Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) system was developed on the basis of consensus that was achieved by the results of published studies containing expert and analytical conclusions.
А. В. Мищенко, Б. Я. Алексеев, В. В. Данилов, B. Ya. Alekseev, А. D. Kaprin, А. Д. Каприн, V. V. Danilov, G. A. Gulin, Г. А. Гулин, N. A. Rubtsova, A. V. Mishchenko, Н. А. Рубцова   +11 more
core   +1 more source

Diagnostic performance of transperineal prostate targeted biopsy alone according to the PI-RADS score based on bi-parametric magnetic resonance imaging

Frontiers in Oncology, 2023
PurposeTo compare the diagnostic performance of transperineal targeted biopsy (TB) or systematic biopsy (SB) alone based on combined TB+SB and radical prostatectomy (RP) specimen for detecting prostate cancer (PCa) according to the prostate imaging ...
Tae Il Noh, Ji Sung Shim, Seok Ho Kang, Jun Cheon, Sung Gu Kang   +4 more
doaj   +1 more source

Single center analysis of an advisable control interval for follow-up of patients with PI-RADS category 3 in multiparametric MRI of the prostate

Scientific Reports, 2022
To evaluate if follow-up mpMRI scans of patients in PI-RADS category 3 are safe enough to omit or delay prostate biopsy in the future and to determine an optimal control interval.
M. Boschheidgen, L. Schimmöller, S. Doerfler, R. Al-Monajjed, J. Morawitz, F. Ziayee, D. Mally, M. Quentin, C. Arsov, P. Albers, G. Antoch, T. Ullrich   +11 more
doaj   +1 more source