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Computed Tomography-Based Machine Learning Differentiates Adrenal Pheochromocytoma From Lipid-Poor Adenoma

OBJECTIVES: To assess the accuracy of computed tomography (CT)-based machine learning models for differentiating subclinical pheochromocytoma (sPHEO) from lipid-poor adenoma (LPA) in patients with adrenal incidentalomas. PATIENTS AND METHODS: The study included 188 tumors in the 183 patients with LP...

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Detalles Bibliográficos
Autores principales:	Liu, Haipeng, Guan, Xiao, Xu, Beibei, Zeng, Feiyue, Chen, Changyong, Yin, Hong ling, Yi, Xiaoping, Peng, Yousong, Chen, Bihong T.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Endocrinology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8977471/ https://www.ncbi.nlm.nih.gov/pubmed/35388295 http://dx.doi.org/10.3389/fendo.2022.833413

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