Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients.

ABSTRACT: This retrospective study was to investigate whether radiomics feature come from radiotherapy treatment planning CT can predict prognosis in locally advanced rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery. Four-hundred-eleven locally advanced rectal cancer patients which were treated with neoadjuvant chemoradiation enrolled in this study. All patients' radiotherapy treatment planning CTs were collected. Tumor was delineated on these CTs by physicians. An in-house radiomics software was used to calculate 271 radiomics features. The results of test-retest and contour-recontour studies were used to filter stable radiomics (Spearman correlation coefficient > 0.7). Twenty-one radiomics features were final enrolled. The performance of prediction model with the

SUBMITTER: Wang J 

PROVIDER: S-EPMC6814843 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature