CT/MRI LI-RADS 2024 更新:治疗反应评估
Anum Aslam1, Victoria Chernyak1, Frank H Miller1
1From the Department of Radiology, University of Michigan Health System, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5030 (A.A., M.M.L.); Department of Radiology, Memorial Sloan Kettering Medical Center, New York, NY (V.C., R.D., H.Y.); Department of Radiology, Northwestern Medical Center, Chicago, Ill (F.H.M., R.J.L.); Department of Radiology, Duke University Medical Center, Durham, NC (M.B.); Department of Radiology, University of California San Diego, San Diego, Calif (C.S., C.Y.K.); Department of Radiology, University of Toronto, Toronto, Ontario, Canada (A.Z.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.R.K., A.S.B.); Department of Radiology, Mount Sinai Medical Center, New York, NY (E.K.); Department of Radiology, Mayo Clinic Rochester, Rochester, Minn (D.O.); Department of Radiology, Weill Cornell Medical Center, New York, NY (R.A.C.); and Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC (L.M.B.).
LI-RADS TRA算法有助于评估肝癌治疗反应,但需要改进. 2024年更新旨在提高肝细胞癌管理中的各种局部区域疗法 (LRT) 的准确性.
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:
- 肝细胞癌 (HCC) 发病率正在上升,增加了局部区域治疗 (LRT) 的使用.
- CT/MRI肝脏成像报告和数据系统 (LI-RADS) 治疗响应评估 (TRA) 算法标准化了LRT后瘤评估.
- 准确的反应评估对于治疗规划至关重要,包括降级,桥梁到移植,最终治疗和息.
研究的目的:
- 审查2017年LI-RADS TRA算法的挑战和局限性.
- 讨论对CT/MRI的更新2024年LI-RADS算法的改进.
- 突出需要基于证据和基于专家的改进,以评估LRT后的治疗反应.
主要方法:
- 对LI-RADS TRA算法性能现有文献的审查.
- 对不同LRT模式的算法准确性进行当前证据分析.
- 讨论了对2024年LI-RADS TRA算法的建议变更和验证.
主要成果:
- LI-RADS TRA算法在动脉栓塞和局部移除疗法方面表现良好.
- 对于基于辐射的疗法,算法性能是公平的,验证数据有限.
- 精细化是必要的,以提高各种LRT类型的诊断准确度.
结论:
- LI-RADS TRA算法需要持续改进,以提高评估HCC治疗反应的准确性.
- 2024年更新引入了旨在解决先前版本局限性的变化.
- 进一步的研究和验证是必不可少的,特别是在基于辐射的疗法.
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