MRI-based radiomics model can improve the predictive performance of postlaminar optic nerve invasion in retinoblastoma.

ABSTRACT:

Objectives

To develop an MRI-based radiomics model to predict postlaminar optic nerve invasion (PLONI) in retinoblastoma (RB) and compare its predictive performance with subjective radiologists' assessment.

Methods

We retrospectively enrolled 124 patients with pathologically proven RB (90 in training set and 34 in validation set) who had MRI scans before surgery. A radiomics model for predicting PLONI was developed by extracting quantitative imaging features from axial T2W images and contrast-enhanced T1W images in the training set. The Kruskal-Wallis test, least absolute shrinkage and selection operator regression, and recursive feature elimination were used for feature selection, where upon a radiomics model was built with a logistic regression (LR) classifier. The area un

SUBMITTER: Li Z 

PROVIDER: S-EPMC8822570 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature