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

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

ObjectivesTo 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 MethodsThe study included 188 tumors in the 183 patients with LPA and...

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Bibliographic Details
Main Authors: Haipeng Liu, Xiao Guan, Beibei Xu, Feiyue Zeng, Changyong Chen, Hong ling Yin, Xiaoping Yi, Yousong Peng, Bihong T. Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Endocrinology
Subjects:
adrenal incidentaloma
lipid-poor adenoma
subclinical pheochromocytoma
computed tomography
machine learning
logistic regression
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.833413/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2022.833413/full

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