Publications by authors named "Max A A Ragusi"
Article Synopsis
- Multiple studies have indicated that high contralateral parenchymal enhancement (CPE) in breast MRI may improve long-term survival rates for patients with ER-positive, HER2-negative breast cancer, but more research is needed due to inconsistent findings.
- This study aimed to validate the connection between CPE and long-term survival using a large group of women with specific breast cancer characteristics, examining overall survival (OS), recurrence-free survival (RFS), and distant RFS (DRFS).
- Results showed that higher CPE was linked to better OS rates after 10 years, but it didn't significantly impact RFS or DRFS; additionally, the effect of endocrine therapy in relation to CPE couldn't be determined accurately.
Purpose: To assess whether contralateral parenchymal enhancement (CPE) on MRI is associated with gene expression pathways in ER+/HER2-breast cancer, and if so, whether such pathways are related to survival.
Methods: Preoperative breast MRIs were analyzed of early ER+/HER2-breast cancer patients eligible for breast-conserving surgery included in a prospective observational cohort study (MARGINS). The contralateral parenchyma was segmented and CPE was calculated as the average of the top-10% delayed enhancement.
Objectives: Incidental MR-detected breast lesions (ie, additional lesions to the index cancer) pose challenges in the preoperative workup of patients with early breast cancer. We pursue computer-assisted triaging of magnetic resonance imaging (MRI)-guided breast biopsy of additional lesions at high specificity.
Materials And Methods: We investigated 316 consecutive female patients (aged 26 to 76 years; mean, 54 years) with early breast cancer who received preoperative multiparametric breast MRI between 2013 and 2016.
To purpose of this paper was to assess the feasibility of volumetric breast density estimations on MRI without segmentations accompanied with an explainability step. A total of 615 patients with breast cancer were included for volumetric breast density estimation. A 3-dimensional regression convolutional neural network (CNN) was used to estimate the volumetric breast density.
View Article and Find Full Text PDFObjectives: To investigate whether contralateral parenchymal enhancement (CPE) on MRI during neoadjuvant endocrine therapy (NET) is associated with the preoperative endocrine prognostic index (PEPI) of ER+/HER2- breast cancer.
Methods: This retrospective observational cohort study included 40 unilateral ER+/HER2- breast cancer patients treated with NET. Patients received NET for 6 to 9 months with MRI response monitoring after 3 and/or 6 months.
Background: Differences in imaging parameters influence computer-extracted parenchymal enhancement measures from breast MRI.
Purpose: To investigate the effect of differences in dynamic contrast-enhanced MRI acquisition parameter settings on quantitative parenchymal enhancement of the breast, and to evaluate harmonization of contrast-enhancement values with respect to flip angle and repetition time.
Study Type: Retrospective.