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...
Main Authors: | , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2017-07-01
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Series: | Physics and Imaging in Radiation Oncology |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631617300076 |