CT-based radiomic signatures for prediction of pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy

• Published in: Journal of radiation research Vol. 60; no. 4; pp. 538 - 545
• Main Authors: Yang, Zhining, He, Binghui, Zhuang, Xinyu, Gao, Xiaoying, Wang, Dandan, Li, Mei, Lin, Zhixiong, Luo, Ren
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.07.2019
• Subjects: Adult; Aged; Chemoradiotherapy, Adjuvant; Chemotherapy; Esophageal cancer; Esophageal Neoplasms - diagnostic imaging; Esophageal Neoplasms - drug therapy; Esophageal Neoplasms - radiotherapy; Esophageal Squamous Cell Carcinoma - diagnostic imaging; Esophageal Squamous Cell Carcinoma - drug therapy; Esophageal Squamous Cell Carcinoma - radiotherapy; Female; Humans; Likelihood ratio; Logistic Models; Male; Middle Aged; Parameters; Prediction models; Radiation therapy; Radiomics; Regression Analysis; Regression models; Regular Paper; Retrospective Studies; ROC Curve; Squamous cell carcinoma; Tomography, X-Ray Computed; Treatment Outcome; complete pathologic response; esophageal squamous cell carcinoma; neoadjuvant chemoradiotherapy; radiomics; LASSO

The objective of this study was to build models to predict complete pathologic response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in esophageal squamous cell carcinoma (ESCC) patients using radiomic features. A total of 55 consecutive patients pathologically diagnosed as having ESCC were incl...