Radiomics predicts clinical outcome in primary gastroesophageal junction adenocarcinoma treated by chemo/radiotherapy and surgery

Purpose: Radiomics has shown great promise to use quantifiable imaging characteristics to predict the behavior and prognosis of neoplasms. This is the first study to evaluate whether radiomic texture analysis can predict outcomes in gastroesophageal junction adenocarcinoma (GEJAC) treated with neoad...

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Bibliographic Details

Published in:	Physics and Imaging in Radiation Oncology
Main Authors:	Qifeng Wang, Shouhao Zhou, Laurence E. Court, Vivek Verma, Eugene J. Koay, Lifei Zhang, Wencheng Zhang, Chad Tang, Steven Lin, James D. Welsh, Mariela Blum, Sonia Betancourt, Dipen Maru, Wayne L. Hofstetter, Joe Y. Chang
Format:	Article
Language:	English
Published:	Elsevier 2017-07-01
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631617300076