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Untreated Breast Cancers Do Not Regress, Researchers Say
Breast cancers detected by screening mammography do not spontaneously disappear.
Untreated breast cancers detected on screening mammography do not spontaneously disappear or regress, according to a study published in the Journal of the American College of Radiology. Researchers from New York, Texas, Missouri, and California performed a prospective cohort study to investigate the natural history of untreated screen-detected breast cancer to determine if there was validity in claims that breast cancer is over-diagnosed with regular screening and that some of these cancers would regress or disappear if left untreated. The researchers received completed surveys from 42 Society of Breast Imaging fellows in December 2016, with outcomes data from their screening mammography practices. The results showed among all practices, 25,281 screen-detected invasive breast cancers and 9,360 cases of screen-detected ductal carcinoma in situ were reported over the past 10 years. Among these cancers, there were 240 cases of untreated invasive breast cancer and 239 cases of untreated ductal carcinoma in situ, among which zero were reported to have spontaneously disappeared or regressed at next mammography. The researchers concluded among the 479 untreated breast cancers detected on screening mammography, none spontaneously disappeared or regressed. They acknowledged an unknown percentage of these cancers represent over-diagnosis, but because all untreated screen-detected cancers were visible and suspicious for malignancy at next mammographic examination, delaying the onset of screening or increasing the interval between screenings should not reduce the frequency of over-diagnosis.
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.
