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- Mammography
Digital mammo holds edge over screen-film
Full-field digital mammography (FFDM) has a slight edge over conventional screen-film systems when characterizing microcalcifications, according to German researchers. FFDM came out on top when compared to screen-film mammograms of patients with
Full-field digital mammography (FFDM) has a slight edge over conventional screen-film systems when characterizing microcalcifications, according to German researchers. FFDM came out on top when compared to screen-film mammograms of patients with microcalcification clusters in 50% of the cases examined at the Georg-August University Goettingen. Subsequent histopathological analysis documented that FFDM is more sensitive and reliable than screen-film mammography in detecting and describing the clusters.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
