Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma

Objective: To evaluate the feasibility and accuracy of machine learning based texture analysis of unenhanced CT images in differentiating subclinical pheochromocytoma (sPHEO) from lipid-poor adenoma (LPA) in adrenal incidentaloma (AI). Methods: Seventy-nine patients with 80 LPA and 29 patients with...

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Bibliografiske detaljer
Udgivet i:J Cancer
Main Authors: Yi, Xiaoping, Guan, Xiao, Chen, Chen, Zhang, Youming, Zhang, Zhe, Li, Minghao, Liu, Peihua, Yu, Anze, Long, Xueying, Liu, Longfei, Chen, Bihong T, Zee, Chishing
Format: Artigo
Sprog:Inglês
Udgivet: Ivyspring International Publisher 2018
Fag:
Research Paper
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6171020/
https://ncbi.nlm.nih.gov/pubmed/30310515
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7150/jca.26356
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