CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Nov 13, 2019
Abstract
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malignant lung tumors with distant and nodal metastases (according to clinical TNM staging) and histopathology (according to biopsy and surgical resection) using radiomics assessment.