Mammography recall rates may be influenced by factors outside of radiologists’ control, and rates might not be a great measure of quality.
Mammography recall rates as a measure for quality may have limitations, suggests a study published in the journal Radiology.
Researchers from the Rhode Island Hospital and Alpert School of Medicine in Providence undertook a study to understand the factors that influence mammography recall rates, which are used by the federal government as a quality indicator. However, hospitals and community office practices see different patient populations, which could affect the number of recalls.
The researchers reviewed data from 74,297 screening mammograms performed between May 2008 and September 2011 that were read by five radiologists with expertise in breast imaging. The radiologists interpreted mammograms at a community office practice and an academic referral hospital. Both sites used full-field digital mammography and batch screening interpretation.
A total of 5,799 patients were recalled for an overall recall rate of 7.8 percent. The hospital recall rate was 8.6 percent, while the community practice recall rate was significantly lower at 6.9 percent.
However, “For every radiologist, the recall rate was significantly lower in community practice than in the hospital setting,” study co-author Ana Lourenco, MD, said in a release. Lourenco is a radiologist at the hospital.
Comparing the patients from the hospital and the community practice, the researchers found that significantly more of the hospital patients had undergone previous surgeries (slightly more than 13 percent) than the patients in the community practice (5.6 percent). Hospital patients also had more biopsies (7 percent) than the community practice patients (1.4 percent). Another difference was patient age. Hospital patients were a mean of 56 years old, while the community practice patients were a mean of 63 years old.
These factors could play into if a patient needs to be seen again, researchers said.
“These [hospital] patients may have more complicated mammograms to interpret or may be at higher risk for cancer than patients at the community site,” Lourenco said. Younger patients do tend to have higher recall rates, as well, she noted.
The authors concluded that these differences highlight the limitations of using recall rates as a quality measure for breast cancer screening.
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.
ECR Mammography Study: Pre-Op CEM Detects 34 Percent More Multifocal Masses than Mammography
February 28th 2025In addition to contrast-enhanced mammography (CEM) demonstrating over a 90 percent detection rate for multifocal masses, researchers found that no significant difference between histological measurements and CEM, according to study findings presented at the European Congress of Radiology.
Study: Mammography AI Leads to 29 Percent Increase in Breast Cancer Detection
February 5th 2025Use of the mammography AI software had a nearly equivalent false positive rate as unassisted radiologist interpretation and resulted in a 44 percent reduction in screen reading workload, according to findings from a randomized controlled trial involving over 105,000 women.