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对人工智能软件用于在双参数MRI上检测临床显著前列腺癌的潜在验证
Mohammed R S Sunoqrot1,2, Rebecca Segre3, Gabriel A Nketiah3,4
1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. mohammed.sunoqrot@ntnu.no.
Insights into imaging
|January 26, 2026
概括
一个新的人工智能 (AI) 软件用于在双参数MRI (bpMRI) 上检测临床显著的前列腺癌 (csPCa) 是可行的和安全的. 这种人工智能工具显示了减少不必要的活检和提高前列腺癌检测诊断准确性的潜力.
科学领域:
- 医疗成像中的人工智能
- 前列腺癌诊断的诊断方法
- 无线电学和机器学习
背景情况:
- 双参数MRI (bpMRI) 越来越多地用于前列腺癌 (PCa) 检测.
- 准确检测临床显著的前列腺癌 (csPCa) 对于患者的管理至关重要.
- 人工智能有可能提高医学成像中的诊断准确性.
研究的目的:
- 评估新的AI软件的可行性,安全性和性能,用于在bpmri上检测csPCa.
- 将AI软件的性能与专家放射科医生的性能进行比较.
- 评估AI在改善CSPCa诊断和减少不必要的活检方面的潜力.
主要方法:
- 对89名怀疑PCa,接受bpMRI的未经活检的男性进行前性研究.
- 由专家放射科医生 (PI-RADS v2.1) 和基于放射学的人工智能软件解释bpMRI扫描.
- 对放射科医生或人工智能识别的病变进行了活检.
- 可行性定义为<10%的软件故障率;安全性定义为没有严重的不良设备效应 (SADE).
主要成果:
- 人工智能软件证明了可行性 (7%的失败率) 和安全性 (没有SADE).
- 在患者层面,AI实现了0.90的AUC,而放射科医生的AUC为0.86 (p=0.25).
- 在优化值时,人工智能与放射科医生相比,显示了较高的损伤水平精度 (0.61比0.56) 和较少的假阳性每名患者 (0.33比0.41).
结论:
- 人工智能软件在bpmri上检测csPCa是可行的和安全的.
- 人工智能证明了诊断性能,有可能减少不必要的活检.
- 经过验证的AI软件显示了将其整合到临床前列腺癌护理中的希望.
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