相关实验视频
Updated: May 8, 2026

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
人工智能开发和报告的要求,用于MRI前列腺癌检测在未经活检的男性:PI-RADS指导委员会,1.0版本
Baris Turkbey1, Henkjan Huisman1, Andriy Fedorov1
1From the Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, 10 Center Dr, MSC 1182, Bldg 10, Room B3B85, Bethesda, MD 20892 (B.T.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (H.H.); Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Mass (A.F., C.M.T.); The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (K.J.M.); Department of Radiology, Weill Cornell Medicine/New York Presbyterian, New York, NY (D.J.M.); Department of Radiological Sciences, Oncology and Pathology, Sapienza University, Rome, Italy (V.P.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands (I.G.S.); Department of Surgery, Division of Urology, University of Maryland School of Medicine, Baltimore, Md (M.M.S.); Division of Surgery Interventional Science, University College London, London, UK (C.M.M.); Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK (C.M.M.); Department of Urinary and Vascular Imaging, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France (O.R.); Faculté de Médecine Lyon Est, Université de Lyon, Université Lyon 1, Lyon, France (O.R.); Department of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, Cleveland, Ohio (L.K.B.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Middlesex, UK (A.R.P.); Joint Department of Medical Imaging, Mount Sinai Hospital, Princess Margaret Hospital, University of Toronto, Toronto, Canada (M.A.H.); and Lunenfeld-Tanenbaum Research Institute, Toronto, Canada (M.A.H.).
本指南概述了开发人工智能 (AI) 模型使用MRI检测前列腺癌 (PCa) 的要求. 它强调数据标准,绩效指标和临床翻译的透明度.
科学领域:
- 医疗成像医学成像
- 在瘤学中使用人工智能
- 前列腺癌的诊断方法 前列腺癌的诊断方法
背景情况:
- 通过MRI开发用于前列腺癌 (PCa) 检测的AI需要标准化报告.
- 带有阳性查的活检的男性需要可靠的AI解释模型.
研究的目的:
- 确定开发和报告人工智能解释模型的关键考虑因素,用于MRI中检测PCa.
- 为此AI用例提供特定的数据和性能指标要求.
主要方法:
- 强调数据要求的透明度和培训/测试数据的特征.
- 包括真负检查定义 (至少2年后续),图像质量评估和非成像元数据.
- 性能指标包括PI-RADS 4+病变的40%-70%癌症检测率和人类水平的性能基准.
主要成果:
- 提供了医学成像合规性AI的检查清单.
- 鼓励使用开放数据集用于AI模型开发.
- 提供基于前列腺MRI子专业专业知识的指导.
结论:
- 加快AI在PCa检测中的临床翻译.
- 解决了AI在医学诊断中的不断变化的监管环境.
- 建立了AI模型开发和前列腺MRI报告的基准.
更多相关视频
05:49Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
Published on: October 10, 2019
06:08A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
相关概念视频
Imaging Studies I: CT and MRI
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies IV: Magnetic Resonance Imaging