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在前列腺癌诊断,攻击性和预后评估的MRI衍生放射学模型
Xuehua Zhu1, Lizhi Shao2, Zhenyu Liu2,3
1Department of Urology, Peking University Third Hospital, Beijing 100191, China.
Journal of Zhejiang University. Science. B
|August 8, 2023
概括
多参数MRI (mp-MRI) 的放射学分析提供了前列腺癌 (PCa) 诊断和特征的非侵入性方法. 这些由人工智能驱动的模型显示出改善PCa管理中的精准医学的前景.
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:
- 前列腺癌 (PCa) 因其异质性而带来诊断和治疗挑战.
- 多参数MRI (mp-MRI) 对于PCa检测和表征至关重要.
- 放射学利用人工智能和图像分析,提取新的生物标志物的定量数据.
结论:
- 从mp-MRI获得的放射学模型显示出在前列腺癌的精密医学进步方面具有重大潜力.
- 需要进一步的研究和验证才能得到广泛的临床采用.
- 本综述指导了基于临床要求的未来模型开发,并帮助泌尿科医生了解放射学应用.
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