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

OBJECTIVE: To 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 METHODS: This retr...

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Detalles Bibliográficos
Autores principales: Lee, Hyo-jae, Park, Jae Hyeok, Nguyen, Anh-Tien, Do, Luu-Ngoc, Park, Min Ho, Lee, Ji Shin, Park, Ilwoo, Lim, Hyo Soon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667063/
https://www.ncbi.nlm.nih.gov/pubmed/36408141
http://dx.doi.org/10.3389/fonc.2022.1032809

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667063/
https://www.ncbi.nlm.nih.gov/pubmed/36408141
http://dx.doi.org/10.3389/fonc.2022.1032809

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