ArticleJournal of the Endocrine Society2026
MRI-based radiomics prediction of somatostatin receptor ligand response in acromegaly: an automated pipeline study.
Article in Journal of the Endocrine Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Context: Radiomics may capture tumor characteristics predicting therapeutic response. Objective: To develop an MRI-based radiomics pipeline for predicting response to SRLs in acromegaly. Methods: MRI data from 267 subjects across 3 datasets were used to develop an automated tumor detection and segmentation pipeline (Spanish multicenter acromegaly IGTP cohort, Results: Automated segmentation achieved a Dice coefficient of 0.795 using combined Ce-T1WI and T2-weighted images (T2WI), decreasing to 0.765 in the acromegaly-specific cohort. The best-performing model was a 3-feature logistic regression classifier, with an out-of-fold AUC of 0.798 (95% CI: 0.671-0.918), balanced accuracy of 0.793, Conclusion: In this multicenter radiomics study of SRL response prediction in acromegaly, an automated pipeline achieved good discriminative performance (AUC = 0.798). These findings highlight both the promise and the current challenges of radiomics-based treatment prediction.
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