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在乳腺癌中预测反应的F-FDG PET/CT

Mariza Vorster¹, Mike Sathekge²

¹Department of Nuclear Medicine at Inkosi Albert Luthuli Hospital, University of KwaZulu-Natal, KwaZulu-Natal, South Africa; Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria 0001, South Africa.

Seminars in nuclear medicine

|January 9, 2026

概括

18F-FDG PET/CT提供了一种非侵入性方法来评估乳腺癌治疗反应. 通过PET/CT检测到的早期代谢变化可以准确预测治疗结果,指导个性化瘤学决策.

科学领域:

在瘤学瘤学.
核医学就是核医学.
医疗成像医学成像

背景情况:

乳腺癌的异质性需要个性化的治疗策略.
早期评估治疗反应对于优化结果和最小化毒性至关重要.

研究的目的:

评估18F-FDG PET/CT在评估乳腺癌早期治疗反应中的作用.
探索PET/CT指标与临床,分子和人工智能数据的整合,以改善治疗预测.

主要方法:

使用18F-FDG PET/CT测量基线代谢参数 (SUVmax,MTV,TLG) 和早期治疗引起的变化.
开发了PET衍生名录,包括临床,分子和代谢数据.
应用放射学和人工智能分析来量化异质性,并使亚型特定的建模.

主要成果:

基线PET/CT指标反映了瘤的攻击性.
在1-2个周期后,SUV,MTV和TLG的早期变化预测了具有高负预测值的病态完整反应.
与人工智能集成的PET衍生名录在治疗响应预测方面优于传统模型.

结论:

在乳腺癌中,18F-FDG PET/CT已经从分期演变为精确反应预测,特别是在HER2阳性和三阴性亚型中.
与AI的整合支持适应性,针对患者的治疗决策,最大限度地减少毒性和最大限度地提高效益.
需要进行前性验证,以巩固PET/CT在适应性瘤学中的作用.

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