Publications by authors named "Sarah L Tennant"
Article Synopsis
- This study focuses on using radiomic analysis of contrast-enhanced mammographic images to distinguish between benign and malignant lesions through classification models based on a diverse data set.
- It utilized CEM images from different equipment, extracting textural features with software and comparing segmentation techniques (freehand vs. ellipsoid).
- The findings showed high diagnostic accuracy (>0.9), with ellipsoid segmentation being more effective, and suggested that using both mammographic views might not be necessary for improved accuracy.
Objective: To compare the accuracy of standard supplementary views and GE digital breast tomosynthesis (DBT) for assessment of soft-tissue mammographic abnormalities.
Methods: Women recalled for further assessment of soft-tissue abnormalities were recruited and received standard supplementary views (typically spot compression views) and two-view GE DBT. The added value of DBT in the assessment process was determined by analysing data collected prospectively by radiologists working up the cases.