The utilization of intravenous contrast with mammograms introduces a functional element to imaging. This greatly improves the sensitivity of the examination, approaching sensitivity levels of Magnetic Resonance Imaging (MRI) in the detection of primary breast cancer. With increased sensitivity afforded by ...
* CPT 2021, Professional Edition, advises, “Do not report 96365-96479 with codes for which IV push or infusion is an inherent part of the procedure (e.g.,administration of contrast material for a diagnostic imaging study).” Because IV push or infusion is not an inherent part of digital...
【Contrast-Enhanced Mammogram: A New Game-Changer in Breast Imaging. Indications with Case-Based Experience】 #论文# #乳房造影术# #MRI# #医学研究# Contrast-Enhanced Mammogram (CEM) aims to a...
Francescone MA, Jochelson MS, Dershaw DD et al (2014) Low energy mammogram obtained in contrast-enhanced digital mammography (CEDM) is comparable to routine full-field digital mammography (FFDM). Eur J Radiol 83:1350–1355 Article PubMed Google Scholar Download references Acknowledgments We are...
To evaluate the relationship of the extent and quantitative intensity of background parenchymal enhancement (BPE) on contrast-enhanced spectral mammography (CESM) with age, breast density, menstruation status, and menstrual cycle timing. This retrospecti
with different results. We calculated an AUC of 0.843 in the former projection and 0.755 in the latter projection and found a significant difference of enhancement intensity between two views, indicating that the former projections of contrast-enhanced images seemed to play a more important role in...
Contrast-enhanced spectral mammography in patients referred from the breast cancer screening programme. Eur Radiol. 2014;24:1668–76. PubMed Google Scholar Van Der Steeg AFW, Keyzer-Dekker CMG, De Vries J, Roukema JA. Effect of abnormal screening mammogram on quality of life. Br J Surg. ...
Multiple studies in the first decade of the 21st century have established contrast-enhanced breast MRI as a screening modality for women with a hereditary or familial increased risk for the developm...
investigated three transformer architectures namely vision transformer, swin transformer, and pyramid vision transformer for classifying breast cancer from mammogram images. According to the experiment, the transformers achieved a very high classification performance with a perfect area under curve of 1.0. ...
Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection Jae Won Seo Young Jae Kim Kwang Gi Kim Scientific Reports (2025) The digital eye for mammography: deep transfer learning and model ensemble based open-source toolkit for mass detection and classification ...