人工智能时代的多参数MRI用于膀癌治疗方法
Oguz Akin1, Alfonso Lema-Dopico2, Ramesh Paudyal2
1Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Cancers
|November 25, 2023
概括
多参数MRI (mpMRI) 与定量成像生物标志物 (QIB) 和AI增强了膀癌的诊断和治疗. 膀成像报告和数据系统 (VI-RADS) 为改善临床实践标准化解释.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 多参数MRI (mpMRI) 对于膀癌的评估至关重要.
- 从mpMRI获得的定量成像生物标志物 (QIB) 有助于分期,预后和治疗反应评估.
- 膀成像报告和数据系统 (VI-RADS) 是为了标准化mpMRI采集和解释而开发的.
研究的目的:
- 审查mpMRI在膀成像中的原理,应用和性能.
- 讨论QIBs和放射性特征在膀癌中的作用.
- 调查人工智能 (AI) 对膀成像工作流程的影响.
主要方法:
- 对膀癌mpMRI现有文献的综述.
- 对VI-RADS标准化和读者间协议的分析.
- 探索定量成像生物标志物 (DW-MRI,DCE-MRI) 和放射学.
- 对人工智能应用的调查,包括卷积神经网络 (CNN) 和自分割工具.
主要成果:
- VI-RADS展示了标准化和高度的读者间协议,以区分肌肉侵入性.
- 生理QIB和放射性特征在膀癌管理中很重要.
- 人工智能工具,特别是CNN,显示出替代手工任务的潜力,例如瘤细分,减少时间和变化.
- 人工智能可以显著影响膀成像中的临床工作流程.
结论:
- 由VI-RADS指导的mpMRI是评估膀癌症的一个有价值的工具.
- 人工智能在mpMRI分析中的整合有望提高诊断准确性和效率.
- 预计mpMRI和AI的联合使用将为膀癌患者推进个性化管理策略.
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