在肝细胞癌患者中预测TACE治疗反应的多模式框架
Pietro Maria Marvulli1, Domenico Buongiorno1, Gian Maria Zaccaria1
1Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, Bari, 70126, Italy.
概括
在肝细胞癌 (HCC) 中预测跨动脉化血栓化 (TACE) 反应至关重要. 一个新的综合临床,放射性和深度特征的多式联络框架显示了更好的预测准确性,以便更好地规划治疗.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 超动脉化血栓化 (TACE) 是中期肝细胞癌 (HCC) 的首要治疗方法.
- 准确预测TACE反应对于优化患者的治疗结果和最大限度地减少治疗毒性至关重要.
- 目前用于预测TACE反应的方法需要提高准确性和可重复性.
研究的目的:
- 建立一个标准化的管道,用于TACE响应预测模型的可重复性基准测试.
- 引入一种新的多式联运框架,用于预测TACE治疗反应.
- 通过内部和外部公共数据集验证拟议的框架.
主要方法:
- 开发一个标准化的评估管道,用于基准测试预测模型.
- 从CT扫描中整合临床变量,放射性特征和深度特征.
- 使用视觉变压器MedViT进行特征提取.
- 使用HCC-TACE-Seg数据集进行内部验证,使用WAW-TACE队列进行外部验证.
主要成果:
- 与现有方法相比,拟议的多式联运框架表现出优越的性能.
- 该模型在外部WAW-TACE数据集上取得了有希望的结果,证实了它的稳定性.
- 该框架显示了支持TACE接受HCC患者临床治疗规划的潜力.
结论:
- 开发的标准化管道使TACE响应预测模型的可重复评估成为可能.
- 新的多式联运框架为预测TACE反应提供了更高的准确性.
- 这种方法有可能在肝细胞癌的个性化治疗计划中显著帮助.
相关概念视频
Treatment Resistant Cancers
3.7K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.7K
Cancer Survival Analysis
630
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
630


