弹性值作为对乳腺癌新辅助化疗反应的预测方式
Min Ji Kim1,2, Na Lae Eun3, Sung Gwe Ahn1,2
1Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 06273, Republic of Korea.
Cancers
|January 23, 2024
概括
通过剪波弹性成像 (SWE) 测量下基线刚度,预测乳腺癌患者对新辅助化疗的反应更好. 这种非侵入性方法可能有助于个性化治疗策略,以改善治疗结果.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 生物物理学的生物物理.
背景情况:
- 剪波弹性图 (SWE) 有效地区分恶性乳腺病变和淋巴结转移.
- 基线乳腺癌度对新辅助化疗反应的预测值仍然不清楚.
研究的目的:
- 调查SWE测量的基线弹性值与对新辅助化疗的治疗反应之间的关联.
- 确定弹性值是否预测病理完整反应 (pCR) 并与瘤透淋巴细胞 (TILs) 相相关.
主要方法:
- 基线平均硬度 (E-mean) 和最大硬度 (E-max) 用SWE测量了830名乳腺癌患者.
- 患者在2012年1月至2022年12月期间接受了新辅助化疗和手术.
- 通过统计分析,评估了弹性值与乳腺pCR,整体pCR和TILs的相关性.
主要成果:
- 具有较低基线弹性值的患者表现出更高的乳腺PCR和整体PCR率.
- 低E平均值 (aOR:0.620) 和低E最大值 (aOR:0.701) 是乳腺pCR的独立预测因素.
- 较低的弹性值与较高的TIL显著相关,特别是在HR+HER2-乳腺癌和三阴性乳腺癌 (TNBC) 中.
结论:
- 治疗前SWE测量的弹性与新辅助化疗治疗反应有显著的关联.
- 弹性值与TIL相反相关,这表明它在预测治疗疗效方面发挥了作用.
- SWE提供了一个有前途的非侵入性工具,用于预测特定乳腺癌亚型的化疗反应.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.3K
07:45Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
Published on: May 18, 2020
6.0K
相关概念视频
Elasticity in Concrete
95
Upon subjecting concrete to moderate or high uniaxial compressive or tensile stresses, the strain response is non-linear relative to the stress applied. As the stress is removed, the resulting stress-strain curve deviates from the original path traced during loading, creating a hysteresis loop, indicative of the concrete's non-linear and non-elastic properties. Typically, a material's modulus of elasticity, which is a measure of the material's stiffness, is inferred from the linear...
95
Cancer Survival Analysis
353
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...
353
