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...

Descripción completa

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

Internet

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

Ejemplares similares