使用放射特征的SOX9状态的非侵入性识别可能有助于在肝细胞癌中构建个性化治疗策略
1Department of Radiology, West China Hospital, Sichuan University, No 37, Guoxue Alley, Chengdu, 610041, Sichuan, China.
Abdominal radiology (New York)
|March 6, 2024
概括
一个新的放射学模型使用CT扫描准确预测SOX9阳性肝细胞癌 (HCC). 这种非侵入性方法有助于评估SOX9状态,并为HCC患者个性化治疗策略.
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) 是一个重要的全球健康问题.
- SOX9的表达与HCC的预后和治疗反应有关.
- 准确预测SOX9状态对于个性化HCC管理至关重要.
研究的目的:
- 开发和验证基于放射学模型的模型,用于预测SOX9阳性HCC.
- 与临床因素相比,评估放射学模型的诊断性能.
- 调查SOX9表达和患者生存结果之间的关联.
主要方法:
- 对接受索拉费尼布治疗的108名HCC患者的回顾性分析.
- 从对比度增强的CT图像中提取和选择放射性特征.
- 使用后勤回归和多变量分析开发临床肝脏成像 (CL) 和临床肝脏成像放射学 (CLR) 模型.
主要成果:
- 结合放射学分数与白蛋白-白素等级和瘤大小的CLR模型,显示出优异的区分性能 (训练和验证队列中的AUC为0.912和0.790).
- SOX9阳性HCC与明显较低的无复发生存率 (RFS) 和整体生存率 (OS) 相关.
- 专-白素等级和瘤大小被确定为SOX9阳性HCC的独立预测因素.
结论:
- 放射性特征可以作为HCC患者SOX9状态的非侵入性预测指标.
- 开发的放射学模型有助于评估SOX9状态,并可指导个性化治疗策略.
- 非侵入性预测SOX9状态可以改善个性化HCC管理.
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