The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer.

ABSTRACT:

Objectives

To investigative the predictive ability of radiomics signature for preoperative staging (I-IIvs.III-IV) of primary colorectal cancer (CRC).

Methods

This study consisted of 494 consecutive patients (training dataset: n=286; validation cohort, n=208) with stage I-IV CRC. A radiomics signature was generated using LASSO logistic regression model. Association between radiomics signature and CRC staging was explored. The classification performance of the radiomics signature was explored with respect to the receiver operating characteristics(ROC) curve.

Results

The 16-feature-based radiomics signature was an independent predictor for staging of CRC, which could successfully categorize CRC into stage I-II and III-IV (p <0.0001) in training and validation dataset. T

SUBMITTER: Liang C 

PROVIDER: S-EPMC5058766 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature