医学
无线电技术
比例危险模型
置信区间
肿瘤科
肺癌
单变量
内科学
无进展生存期
放射科
总体生存率
多元统计
统计
数学
作者
Wenfei Li,Huanlei Zhang,Lei Ren,Ying Zou,Fengyue Tian,Xiaodong Ji,Qing Li,Wei Wang,Guolin Ma,Shuang Xia
出处
期刊:Future Oncology
[Future Medicine]
日期:2022-05-01
卷期号:18 (15): 1873-1884
被引量:1
标识
DOI:10.2217/fon-2021-1125
摘要
Aim: This study aimed to predict progression-free survival (PFS) in patients with early glottic cancer using radiomic features on dual-energy computed tomography iodine maps. Methods: Radiomic features were extracted from arterial and venous phase iodine maps, and radiomic risk scores were determined by univariate Cox proportional hazards regression analysis and least absolute shrinkage and selection operator regression with tenfold cross-validation. The Kaplan-Meier method was used to evaluate the association between radiomic risk scores and PFS. Results: Patients were stratified into low-risk and high-risk groups using radiomics, the PFS corresponding rates with statistical significance between the two groups. The high-risk group showed better survival, benefiting from laryngectomy. Conclusion: Radiomics could provide a promising biomarker for predicting the PFS of early glottic cancer patients.
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