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I

Ivo G. Schoots

Erasmus University Medical Center
H指数:52
被引数:2.0万

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PI-RADS Version 2.1 for Prostate MRI Interpretation: Associations of Study Quality and Cancer Detection Metrics-A Systematic Review and Meta-Analysis

PI-RADS版本2.1在前列腺MRI解读中的应用:研究质量与癌症检出指标的相关性——系统评价与Meta分析

2026-02-014
PRE
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs

多中心评估放射组学和深度学习在IPMN恶性风险分层中的应用

2026-01-012
OA
ESUR: Opportunities for PSMA-PET/CT and whole-body MRI in advanced prostate cancer

ESUR:PSMA-PET/CT和全身MRI在晚期前列腺癌中的机遇

2025-11-050
OAAI
Prostate Volume and PSA-Density Estimation by Transabdominal Ultrasound: Prospective Evidence of Comparative Accuracy to MRI and Transrectal Ultrasound in Prostate Cancer Early Diagnostics

经腹超声测量前列腺体积和PSA密度估计:在前列腺癌早期诊断中与MRI和经直肠超声比较准确性的前瞻性证据

2025-08-180
PRE
Reply to Masatomo Kaneko, Vasileios Magoulianitis, Vinay Duddalwar, et al’s Letter to the Editor re: Baris Turkbey, Henkjan Huisman, Andriy Fedorov, et al. Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-naive Men: PI-RADS Steering Committee, Version 1.0. Radiology 2025;315:e240140

回复Masatomo Kaneko, Vasileios Magoulianitis, Vinay Duddalwar等人致编辑的信件,关于:Baris Turkbey, Henkjan Huisman, Andriy Fedorov等人。针对MRI前列腺癌检测(活检前男性)的AI开发与报告要求:PI-RADS指导委员会,版本1.0。放射学2025;315:e240140。

2025-07-280
PRE
Detection rates for prostate cancer using PI-RADS 2.1 upgrading rules in transition zone lesions align with risk assessment categories: a systematic review and meta-analysis

使用PI-RADS 2.1升级规则对前列腺癌进行检测时,其在移行带病灶中的检出率与风险评估类别一致:一项系统综述和荟萃分析

2025-04-270
OA