Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.

ABSTRACT:

Introduction

Noninvasive biomarkers that capture the total tumor burden could provide important complementary information for precision medicine to aid clinical decision making. We investigated the value of radiomic data extracted from pretreatment computed tomography images of the primary tumor and lymph nodes in predicting pathological response after neoadjuvant chemoradiation before surgery.

Methods

A total of 85 patients with resectable locally advanced (stage II-III) NSCLC (median age 60.3 years, 65% female) treated from 2003 to 2013 were included in this institutional review board-approved study. Radiomics analysis was performed on 85 primary tumors and 178 lymph nodes to discriminate between pathological complete response (pCR) and gross residual disease (GRD). Twenty

SUBMITTER: Coroller TP 

PROVIDER: S-EPMC5318226 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature