A Multi-Dimensional Deep Ensemble Learning Model Predicts Pathological Response and Treatment Outcomes to Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma Using Pretreatment CT Images: A Multicenter, Retrospective Cohort Study
机构：[1]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Radiat Oncol, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China[2]Wenzhou Med Univ, Sch Biomed Engn, Wenzhou, Peoples R China[3]Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Sichuan Clin Res Ctr Canc, Sichuan Canc Ctr,Dept Thorac Surg, Chengdu, Peoples R China外科中心胸外科中心四川省肿瘤医院[4]Tianjin Med Univ Canc Inst & Hosp, Natl Clin Res Ctr Canc, Tianjins Clin Res Ctr Canc, Key Lab Canc Prevent & Therapy, Tianjin, Peoples R China[5]Tianjin Med Univ Canc Inst & Hosp, Natl Clin Res Ctr Canc, Tianjins Clin Res Ctr Canc, Dept Radiat Oncol, Tianjin, Peoples R China[6]Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Sch Med, Dept Radiat Oncol, Shanghai, Peoples R China[7]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Natl Clin Res Ctr Canc, Dept VIP Med Serv,Canc Hosp, Beijing, Peoples R China[8]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Diagnost Radiol, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China[9]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Thorac Surg, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China[10]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Pathol, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China[11]Univ Elect Sci Technol China, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr, Sch Med,Dept Radiat Oncol, Chengdu, Peoples R China四川省肿瘤医院
出处：
ISSN：
摘要：
Purpose/Objective(s): Neoadjuvant chemoradiotherapy (nCRT) followed
by esophagectomy is the standard treatment for esophageal squamous cell
carcinoma (ESCC). However, accurate prediction of pathological complete
response (pCR) and treatment outcome remains a major clinical challenge.
This study aimed to develop and validate a multidimensional deep ensemble learning model (DELRN) using pretreatment CT imaging to predict
pCR and stratify prognostic risk for ESCC patients undergoing nCRT.
语种：
外文
WOS：
中科院(CAS)分区：
出版当年[2025]版：
大类|1 区医学
小类|2 区肿瘤学2 区核医学
最新[2025]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：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2024]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Radiat Oncol, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
推荐引用方式(GB/T 7714)：
Liu Y.,Su Y.,Jun P.,et al.A Multi-Dimensional Deep Ensemble Learning Model Predicts Pathological Response and Treatment Outcomes to Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma Using Pretreatment CT Images: A Multicenter, Retrospective Cohort Study[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2025,123(1):e670-e670.
APA：
Liu, Y.,Su, Y.,Jun, P.,Zhang, W.,Zhao, F....&Hui, Z..(2025).A Multi-Dimensional Deep Ensemble Learning Model Predicts Pathological Response and Treatment Outcomes to Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma Using Pretreatment CT Images: A Multicenter, Retrospective Cohort Study.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,123,(1)
MLA：
Liu, Y.,et al."A Multi-Dimensional Deep Ensemble Learning Model Predicts Pathological Response and Treatment Outcomes to Neoadjuvant Chemoradiotherapy in Esophageal Squamous Cell Carcinoma Using Pretreatment CT Images: A Multicenter, Retrospective Cohort Study".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 123..1(2025):e670-e670
医学