Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics
Dao-xiong Xiao,
Jian-ping Zhong,
Ji-dong Peng
et al.
Abstract:Background
There is a paucity of research investigating the application of machine learning techniques for distinguishing between lipid-poor adrenal adenoma (LPA) and subclinical pheochromocytoma (sPHEO) based on radiomic features extracted from non-contrast and dynamic contrast-enhanced computed tomography (CT) scans of the abdomen.
Methods
We conducted a retrospective analysis of multiphase spiral CT scans, including non-contrast, arterial, venou… Show more
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