An interpretable machine learning model for preoperative prediction of aldosterone secretion and CYP11B2 status of adrenal gland

Abstract Background To investigate whether a machine learning (ML) model integrating CT-based radiomics and clinical features can noninvasively evaluate the aldosterone secretion and CYP11B2 status of the adrenal gland, using Shapley Additive Explanations (SHAP) for model interpretation. Methods Pat...

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Hauptverfasser:	Sixian Zhou, Zhicheng Liu, Wenli Fang, Xiaomin Xu, Xiangyang Gong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2026-02-01
Schriftenreihe:	BMC Medical Imaging
Schlagworte:	Radiomics CYP11B2 immunohistochemistry Hyperaldosteronism Adrenal histopathology
Online-Zugang:	https://doi.org/10.1186/s12880-026-02226-1
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