Cargando…
Can Radiomics Provide Additional Diagnostic Value for Identifying Adrenal Lipid-Poor Adenomas From Non-Adenomas on Unenhanced CT?
BACKGROUND: It is difficult for radiologists to differentiate adrenal lipid-poor adenomas from non-adenomas; nevertheless, this differentiation is important as the clinical interventions required are different for adrenal lipid-poor adenomas and non-adenomas. PURPOSE: To develop an unenhanced comput...
Autores principales: | Zhang, Binhao, Zhang, Huangqi, Li, Xin, Jin, Shengze, Yang, Jiawen, Pan, Wenting, Dong, Xue, Chen, Jin, Ji, Wenbin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102986/ https://www.ncbi.nlm.nih.gov/pubmed/35574405 http://dx.doi.org/10.3389/fonc.2022.888778 |
Ejemplares similares
-
Development and Validation of a Clinical-Image Model for Quantitatively Distinguishing Uncertain Lipid-Poor Adrenal Adenomas From Nonadenomas
por: Pan, Wenting, et al.
Publicado: (2022) -
Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma
por: Yi, Xiaoping, et al.
Publicado: (2018) -
Differentiation of Adrenal Adenoma and Nonadenoma in Unenhanced CT: New Optimal Threshold Value and the Usefulness of Size Criteria for Differentiation
por: Park, Sung Hee, et al.
Publicado: (2007) -
CT-based radiomics nomogram for differentiation of adrenal hyperplasia from lipid-poor adenoma: an exploratory study
por: Yuan, Hongtao, et al.
Publicado: (2023) -
Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics
por: Xiao, Dao-xiong, et al.
Publicado: (2023)