Rationale and Objectives To evaluate a weakly supervised deep learning approach to
breast Magnetic Resonance Imaging (MRI) assessment without pixel level segmentation in …

Objective: This study was undertaken to examine the characteristics of cancers detected at
the earliest possible point on MRI and to determine their significance. Methods: This …

Background Motion artifacts can reduce image quality of breast magnetic resonance
imaging (MRI). There is a lack of data regarding their effect on diagnostic estimates. Purpose …

Purpose To assess how frequently foci are identified on MRI in high-risk patients, and their
association with malignancy, breast density, and background parenchymal enhancement …

OBJECTIVE. MRI-guided needle localization allows access to MRI-detected
mammographically occult breast lesions that are not amenable to MRI-guided biopsy. The …

PURPOSE We aimed to assess the effectiveness of magnetic resonance imaging (MRI)-
guided vacuum-assisted breast biopsy (VABB), evaluate and compare the characteristics …

Résumé Les lésions mammaires de catégorie 3 selon l'American College of Radiology
(ACR3) en IRM (incidence recommandée inférieure à 10%) ont une valeur prédictive …

Rationale and Objectives To evaluate the clinical significance of mammographically occult
additional tumors identified more than 2cm away from the primary breast cancer on …

Discussion In the American College of Radiology Breast Imaging Reporting and Data
System (ACR BI-RADS) Atlas, the breast MRI lexicon defines a focus as a unique enhancing …

Decision Support in Breast Cancer Treatment using Deep Learning Features of Dynamic
Contrast Enhanced Magnetic Resonance Imaging Page 1 Decision Support in Breast Cancer …