CT-based radiomics scores predict response to neoadjuvant chemotherapy and survival in patients with gastric cancer.

ABSTRACT:

Background

Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients' responses vary. We aimed to develop and validate a radiomics score (rad_score) to predict treatment response to neoadjuvant chemotherapy and to investigate its efficacy in survival stratification.

Methods

A total of 106 patients with neoadjuvant chemotherapy before gastrectomy were included (training cohort: n = 74; validation cohort: n = 32). Radiomics features were extracted from the pre-treatment portal venous-phase CT. After feature reduction, a rad_score was established by Randomised Tree algorithm. A rad_clinical_score was constructed by integrating the rad_score with clinical variables, so was a clinical score by clinical variables only. The three

SUBMITTER: Sun KY 

PROVIDER: S-EPMC7249312 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature