拉曼光谱与机器学习分类用于预测在高风险的局部前列腺癌中的立体射线疗法诱导的治疗毒性
Jade F Monaghan1, Daniel Cullen1, Dinesh K R Medipally1
1Radiation and Environmental Science Centre, Physical to Life Sciences Research Hub, FOCAS Building, Technological University Dublin, Aungier Street, D02 HW71 Dublin, Ireland; School of Physics, Clinical and Optometric Sciences, Technological University Dublin, Central Quad, City Campus, Grangegorman D07 XT95, Dublin, Ireland.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|February 5, 2026
概括
拉曼光谱分析血液的生物化学概况,以预测前列腺癌患者的放射治疗毒性. 这种微侵袭性技术显示出有潜力识别患有晚发副作用风险较高的个体.
科学领域:
- 生物医学光谱学 生物医学光谱学
- 放射治疗研究 放射治疗研究
- 癌症患者监测 癌症患者监测
背景情况:
- 放射治疗可能会导致不可预测的晚期发病毒性,这是由于个体辐射敏感度的差异.
- 预测患者的放射敏感性对于优化癌症治疗和最大限度地减少副作用至关重要.
- 目前用于评估放射性敏感性的方法往往缺乏临床适用性和机制理解.
研究的目的:
- 研究拉曼光谱在监测放射治疗反应方面的潜力.
- 预测前列腺癌患者的内在辐射敏感性和晚发性毒性.
- 在立体辐射疗法期间分析周边淋巴细胞和血中的生物化学概况.
主要方法:
- 拉曼光谱法用于分析外围淋巴细胞和血的生物化学概况.
- 部分最小平方差分分析和集体分类器用于光谱数据分析.
- 在不同程度的晚期放射治疗毒性患者中评估了生物化学差异.
主要成果:
- 拉曼光谱在不同治疗时间点实现了高分类精度 (AUC 0.880.93).
- 集成分类器区分低 (等级0-1) 和高 (等级2+) 毒性组,F1分数为0.74 (淋巴细胞) 和0.69 (血).
- 在毒性组之间发现了氨基酸,蛋白质,脂质和DNA等生物分子的显著度差异 (p < 0.05).
结论:
- 拉曼光谱是一种有前途的微创工具,用于放射治疗期间客观地分类血液生物化学概况.
- 该技术可以根据患者患有晚发性毒性风险来区分患者.
- 这种方法具有个性化放射治疗治疗计划和患者风险分层的潜力.
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