Longitudinal CT Feature-Based Model for Predicting Local Recurrence Free Survival in Esophageal Cancer Patients Treated with Definitive Chemoradiotherapy: A Multicenter Study
机构：[1]Fourth Mil Med Univ, Dept Radiat Oncol, Xijing Hosp, Xian, Shanxi, Peoples R China[2]Air Force Med Univ, Xijing Hosp, Dept Radiat Oncol, Xian, Peoples R China[3]Cent South Univ, Sch Comp Sci & Engn, Changsha, Peoples R China[4]Univ Elect Sci & Technol China, Radiat Oncol Key Lab Sichuan Prov, Sichuan Canc Hosp & Inst, Dept Radiat Oncol,Sch Med,Sichuan Canc Ctr, Chengdu, Peoples R China四川省肿瘤医院[5]Shandong Canc Hosp & Inst, Jinan, Shandong, Peoples R China
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摘要：
Purpose/Objective(s): Accurate prediction of local recurrence-free survival (LRFS) remains a great challenge for esophageal squamous cell carcinoma (ESCC) patients receiving definitive chemoradiotherapy (dCRT). However, the integration of longitudinal data holds significant potential for improving predictive capabilities. This study aims to develop and validate a deep learning model that incorporates longitudinal CT scans to accurately predict LRFS in patients with ESCC following dCRT.
语种：
外文
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中科院(CAS)分区：
出版当年[2024]版：
无
最新[2023]版：
大类|1 区医学
小类|2 区肿瘤学2 区核医学
JCR分区：
出版当年[2024]版：
无
最新[2023]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Fourth Mil Med Univ, Dept Radiat Oncol, Xijing Hosp, Xian, Shanxi, Peoples R China
推荐引用方式(GB/T 7714)：
Yang Z.,Gong J.,Yue H.,et al.Longitudinal CT Feature-Based Model for Predicting Local Recurrence Free Survival in Esophageal Cancer Patients Treated with Definitive Chemoradiotherapy: A Multicenter Study[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2024,120(2):S43-S43.
APA：
Yang, Z.,Gong, J.,Yue, H.,Lu, J.,Huang, W.&Zhao, L. N..(2024).Longitudinal CT Feature-Based Model for Predicting Local Recurrence Free Survival in Esophageal Cancer Patients Treated with Definitive Chemoradiotherapy: A Multicenter Study.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,120,(2)
MLA：
Yang, Z.,et al."Longitudinal CT Feature-Based Model for Predicting Local Recurrence Free Survival in Esophageal Cancer Patients Treated with Definitive Chemoradiotherapy: A Multicenter Study".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 120..2(2024):S43-S43
医学