we report for a low-cost and rapid radiomics model based on MRI data in evaluation of hypothalamic-pituitary-gonadal (HPG) axis activation in children. In our study, radiomics model base on CUBE T1WI showed good prediction of HPG axis activation with the AUC of 0.84 in the training set and 0.81 in the test set. The AUC of the radiomics model was higher than that of aPV and aPH in the training set. In results of DCA analysis, radiomics signature showed higher net benefit than aPV and aPH models. The MRI radiomics model may serve as a noninvasive predictor of HPG axis activation.
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Liu et al. (2024) studied this question.
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