A Preliminary Study for Distinguish Hormone-Secreting Functional Adrenocortical Adenoma Subtypes Using Multiparametric CT Radiomics-Based Machine Learning Model and Nomogram

A Preliminary Study for Distinguish Hormone-Secreting Functional Adrenocortical Adenoma Subtypes Using Multiparametric CT Radiomics-Based Machine Learning Model and Nomogram

Purpose: To explore the application value of multiparametric computed tomography (CT) radiomics in non-invasive differentiation between aldosterone-producing and cortisol-producing functional adrenocortical adenomas.Methods: This retrospective review analyzed 83 patients including 41 patients with a...

Full description

Bibliographic Details
Main Authors: Yineng Zheng, Xin Liu, Yi Zhong, Fajin Lv, Haitao Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
multidetector computed tomography
computer-assisted diagnosis
adrenocortical adenoma
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.570502/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.570502/full

Similar Items