Adding Computer Analysis To Mammograms Doesn’t Improve Accuracy, Study Says
The vast majority of mammograms provided in the United States use computer-aided detection (CAD), which is a technology that’s supposed to highlight areas of the mammogram that may be suspicious. The goal is to help radiologists in their review of breast cancer screenings.
In the new study, researchers looked at mammograms from 323,973 women who underwent breast cancer screenings. There were 495,818 mammograms with CAD and 129,807 without and the results were interpreted by 271 radiologists from 66 different facilities. The researchers concluded that CAD did not improve diagnostic accuracy and overall there was no beneficial impact of CAD on mammography interpretation. “These results suggest that insurers pay more for CAD with no established benefit to women,” the researchers concluded.
The study did find a higher detection rate for ductal carcinoma in situ (DCIS), also known as “stage 0 cancer” when mammograms were assessed with CAD, but the study authors note that finding more low-grade DCIS may not actually improve women’s outcomes.
In a corresponding editorial to the study, Dr. Joshua J. Fenton of University of California, Davis writes that the medical community should have a conversation about whether we should still be paying for CAD. “The field of implementation science should take interest in interventions like CAD that are widely adopted in advance of strong evidence of effectiveness. What made CAD so alluring to patients, practitioners, or both, and why were payers willing (at least initially) to finance CAD? How is it that CAD is applied on 90% of US mammograms when it yields no clear benefits to patients?”