An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer

An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer

This retrospective single-center study included patients diagnosed with epithelial ovarian cancer (EOC) using preoperative pelvic magnetic resonance imaging (MRI). The apparent diffusion coefficient (ADC) of the axial MRI maps that included the largest solid portion of the ovarian mass was analysed....

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Bibliographic Details
Main Authors: Heekyoung Song, Seongeun Bak, Imhyeon Kim, Jae Yeon Woo, Eui Jin Cho, Youn Jin Choi, Sung Eun Rha, Shin Ah Oh, Seo Yeon Youn, Sung Jong Lee
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Clinical Medicine
Subjects:
ovarian epithelial cancer
magnetic resonance imaging
apparent diffusion coefficient
machine learning
Online Access:https://www.mdpi.com/2077-0383/11/1/229

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