对人工智能评估PSMA PET扫描前列腺内癌的系统审查
Jianliang Liu1,2,3, Thomas P Cundy4, Dixon T S Woon1,3
1EJ Whitten Prostate Cancer Research Centre, Epworth Healthcare, Melbourne, Victoria, Australia.
BJU international
|July 14, 2024
概括
人工智能在评估前列腺癌 (PCa) 在PSMA PET扫描中的治疗规划方面表现有前途. 虽然人工智能可以区分高档PCa和识别病变,但在临床使用之前需要进一步验证.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 治疗前前列腺癌 (PCa) 评估依赖于准确的成像.
- 前列腺特异性膜抗原正子发射断层扫描 (PSMA PET) 越来越多地用于PCa分期.
- 在PSMA PET扫描上评估前列腺内PCa对于治疗决策至关重要.
结论:
- 目前在PSMA PET扫描上评估前列腺内PCa的AI应用是有希望的,但仍处于实验阶段.
- 人工智能在局部分期,识别隐性病变和标准化报告方面提供了潜在的好处.
- 进一步的大规模,前性,多中心研究是必要的,以建立AI的常规临床使用.
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