Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach.

ABSTRACT: Imaging features can be useful for identifying distinct genomic differences and have predictive power for certain phenotypes attributed to genomic mutations. We aimed to identify predictive imaging biomarkers that underpin genomic alterations and clinical outcomes in lung squamous cell carcinoma (SQCC) using a radiomics approach. In 57 patients with lung SQCC who underwent preoperative computed tomography (CT) and whole-exome DNA sequencing, 63 quantitative imaging features were extracted from CT and 73 clinicoradiological features including imaging features were classified into 8 categories: clinical, global, histogram-based, lung cancer-specific, shape, local, regional, and emphysema. Mutational profiles for core signaling pathways of lung SQCC were classified into five categories: redox

SUBMITTER: Bak SH 

PROVIDER: S-EPMC5818618 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature