Publications by authors named "Toni Werner Vomweg"
Article Synopsis
- AI in mammography shows promise through a study comparing AI-supported double reading to standard double reading among women aged 50-69 across 12 German sites.
- AI assistance led to a significantly higher breast cancer detection rate (6.7 per 1,000) than the control group's detection rate (5.7 per 1,000), with a 17.6% increase.
- The AI group had a slightly lower recall rate (37.4 per 1,000) compared to the control (38.3 per 1,000) and showed better positive predictive values for both recall (17.9% vs. 14.9%) and biopsy (64.5% vs. 59.2%), indicating improved
Objective: The purpose of our study was to assess the prevalence, characteristics, and clinical consequence of incidentally detected enhancing lesions on MRI of the breast. SUBJECTS AND METHODS. MRI of the breast (1.
View Article and Find Full Text PDFPurpose: To assess the prevalence and characteristics of malignant breast lesions not identified with magnetic resonance (MR) imaging.
Materials And Methods: Breast tissue specimens were obtained in 464 of 967 patients who had undergone dynamic gadolinium-enhanced T1-weighted fast low-angle shot three-dimensional MR imaging of both breasts. A comparison of sensitivity, specificity, and predictive values of the prospectively recorded findings of mammography, ultrasonography (US), and MR imaging with the histopathologic results was performed with receiver operating characteristic (ROC) curve analysis.