MRI Radiomics Signature as a Potential Biomarker for Predicting Status in Locally Advanced Rectal Cancer Patients.

BACKGROUND AND PURPOSE

Locally advanced rectal cancer (LARC) is a heterogeneous disease with little information about status and image features. The purpose of this study was to analyze the association between T2 magnetic resonance imaging (MRI) radiomics features and status in LARC patients.

MATERIAL AND METHODS

Eighty-three patients with status information and T2 MRI images between 2012.05 and 2019.09 were included. Least absolute shrinkage and selection operator (LASSO) regression was performed to assess the associations between features and gene status. The patients were divided 7:3 into training and validation sets. The C-index and the average area under the receiver operator characteristic curve (AUC) were used for performance evaluation.

RESULTS

The clinical characteristics of 83 patients in the mutant and wild-type cohorts were balanced. Forty-two (50.6%) patients had mutations, and 41 (49.4%) patients had wild-type . A total of 253 radiomics features were extracted from the T2-MRI images of LARC patients. One radiomic feature named X.LL_scaled_std, a standard deviation value of scaled wavelet-transformed low-pass channel filter, was selected from 253 features (=0.019). The radiomics-based C-index values were 0.801 (95% CI: 0.772-0.830) and 0.703 (95% CI: 0.620-0.786) in the training and validation sets, respectively.

CONCLUSION

Radiomics features could differentiate status in LARC patients based on T2-MRI images. Further validation in a larger dataset is necessary in the future.