Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma

OBJECTIVE: To evaluate the value of 2-dimensional (2D) and 3-dimensional (3D) computed tomography texture analysis (CTTA) models in distinguishing fat-poor angiomyolipoma (fpAML) from chromophobe renal cell carcinoma (chRCC). METHODS: We retrospectively enrolled 32 fpAMLs and 24 chRCCs. Texture feat...

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Bibliographic Details
Published in:	Mol Imaging
Main Authors:	Yang, Guangjie, Gong, Aidi, Nie, Pei, Yan, Lei, Miao, Wenjie, Zhao, Yujun, Wu, Jie, Cui, Jingjing, Jia, Yan, Wang, Zhenguang
Format:	Artigo
Language:	Inglês
Published:	SAGE Publications 2019
Subjects:	Artificial Intelligence in Molecular Imaging Clinics
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC6801892/ https://ncbi.nlm.nih.gov/pubmed/31625454 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1536012119883161
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Contrast-Enhanced CT Texture Analysis for Distinguishing Fat-Poor Renal Angiomyolipoma From Chromophobe Renal Cell Carcinoma

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