无线电技术
医学
完全响应
肿瘤科
免疫疗法
个性化医疗
内科学
精密医学
病态的
食管鳞状细胞癌
新辅助治疗
食管癌
临床试验
癌症
靶向治疗
生物信息学
生物标志物
基底细胞
癌
特征(语言学)
梅德林
治疗方法
病理
多中心研究
药物反应
疾病
作者
Zhiyun Xu,Yijiang Lu,Fengyi Zuo,HanLin Ding,Yipeng Feng,Xiaokang Shen,Xuming Song,Wenjie Xia,Qixing Mao,B. Chen,Rutao Li,Hui Wang,Lin Xu,Gaochao Dong,Feng Jiang
标识
DOI:10.1186/s12967-025-07522-y
摘要
This study demonstrates that Habitat Radiomics features provide significant advantages over traditional Radiomics in predicting immunotherapy response in ESCC patients. The combined model, integrating both feature sets, shows exceptional predictive performance, with promising clinical applications in personalized treatment strategies. Future research will explore the broader applicability of this model across different cancer types and its integration with additional biomarkers to further enhance prediction accuracy.
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