Open AccessApplication of radiomics signature captured from pretreatment thoracic CT to predict brain metastases in stage III/IV ALK-positive non-small cell lung cancer patients
Author(s) -
Xinyan Xu,
Lv Huang,
Jiayan Chen,
Junmiao Wen,
Di Liu,
Jianzhao Cao,
Jiazhou Wang,
Min Fan
Publication year - 2019
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2019.11.01
Subject(s) - medicine , radiomics , logistic regression , lung cancer , stage (stratigraphy) , proportional hazards model , radiology , feature (linguistics) , oncology , nuclear medicine , paleontology , linguistics , philosophy , biology
The purpose of this study is to develop a radiomics approach to predict brain metastasis (BM) for stage III/IV ALK-positive non-small cell lung cancer (NSCLC) patients.
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