Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging

Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging

ObjectiveTo investigate whether support vector machine (SVM) trained with radiomics features based on breast magnetic resonance imaging (MRI) could predict the upgrade of ductal carcinoma in situ (DCIS) diagnosed by core needle biopsy (CNB) after surgical excision.Materials and methodsThis retrospec...

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Bibliographic Details
Main Authors: Hyo-jae Lee, Jae Hyeok Park, Anh-Tien Nguyen, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Ilwoo Park, Hyo Soon Lim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
ductal carcinoma in situ
magnetic resonance imaging
machine learning
radiomics analysis
histologic upgrade
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1032809/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1032809/full

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