Supplementary file 4_Multiparametric MRI radiomics integrating Arterial Spin Labeling, Quantitative Susceptibility Mapping, and Amide Proton Transfer imaging for differentiating glioma recurrence from post-treatment response.docx

The AUC for the five single-sequence models ranged from 0.781-0.899 in the training cohort, from 0.705-0.789 in the validation cohort and from 0.708-0.828 in temporal test cohort. The AUC of the combined model was 0.927, 0.934 and 0.968 in the training cohort, validation cohort and temporal test cohort, respectively. The AUC of the nomogram was 0.983 in the training cohort, 0.958 in the validation cohort and 0.972 in the temporal test cohort.

The combination and nomogram models outperformed the clinical and single-sequence models.</p>Conclusions<p>The combined radiomics model and nomogram showed improved performance in differentiating glioma recurrence from response to treatment compared with the single-sequence models. The nomogram showed discrimination comparable to that of the combined model and may provide additional clinical value for individualized assessment.</p>