Clinical-radiomic models based on digital breast tomosynthesis images: a preliminary investigation of a predictive tool for cancer diagnosis

Clinical-radiomic models based on digital breast tomosynthesis images: a preliminary investigation of a predictive tool for cancer diagnosis

ObjectiveThis study aimed to develop a clinical–radiomic model based on radiomic features extracted from digital breast tomosynthesis (DBT) images and clinical factors that may help to discriminate between benign and malignant breast lesions.Materials and methodsA total of 150 patients were included...

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Bibliographic Details
Main Authors: Federica Murtas, Valeria Landoni, Pedro Ordòñez, Laura Greco, Francesca Romana Ferranti, Andrea Russo, Letizia Perracchio, Antonello Vidiri
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
radiomic
predictive model
breast cancer
AI
tomosynthesis (DBT)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1152158/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1152158/full

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