False-positive screening mammograms with recommendations for further evaluation could be a predictor for future breast cancers.
Women who have a had a history of false-positive screening mammography are at an increased risk of breast cancer for at least 10 years, according to a study published in Cancer Epidemiology Biomarkers & Prevention.
Researchers from North Carolina, Pennsylvania, Vermont, Washington, and California undertook a study to determine if false positive mammography results provided any insight into future diagnosis of breast cancer. Data were obtained from the Breast Cancer Surveillance Consortium.
The study included women aged 40 to 74 who had undergone a screening mammogram and received a false-positive result, with a recommendation for additional imaging, recommendation for biopsy, or true-negative with no cancer within one year following the examination. The data included 12,022,560 person-years of follow-up.
The researchers found that 48,735 cancers were diagnosed during the follow-up period. The women with a false-positive mammography with additional imaging recommendations, as well as those with biopsy recommendations, had an increased risk of developing breast cancer over those with a true-negative examination. Breast tissue density among the women with false-negative tests did not affect results, with the exception of women who had entirely fatty breasts.[[{"type":"media","view_mode":"media_crop","fid":"44015","attributes":{"alt":"","class":"media-image media-image-right","id":"media_crop_2727440957936","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"4896","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"height: 107px; width: 160px; border-width: 0px; border-style: solid; margin: 2px; float: right;","title":"©zlikovec/Shutterstock.com","typeof":"foaf:Image"}}]]
“Women with a false-positive result had persistently increased risk of developing breast cancer 10 years after the false-positive examination,” the authors wrote.
The authors concluded that the increased risk of breast cancer among women who had false-positive screenings with recommendations for further imaging or biopsy could be useful for risk prediction models.
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.