Breast-specific gamma imaging detects breast cancer in both dense and nondense breast tissue.
Breast-specific gamma imaging (BSGI) is highly sensitive for detecting breast cancer in women with either dense or nondense breasts, according to a study published in the American Journal of Roentgenology.
Researchers from The George Washington University, in Washington, D.C., undertook a retrospective study of 341 women who had been diagnosed with breast cancer from January 2004 to August 2009 and who had undergone BSGI before surgical excision.
Women with predominantly fatty replaced (BI-RADS density 1) or scattered fibroglandular tissue (BI-RADS density 2) breasts were classified as nondense, and those with heterogeneously dense (BI-RADS density 3) or extremely dense tissue (BIRADS density 4) were classified as dense.
The results showed that overall sensitivity of BSGI for breast cancer detection was 95.4 percent. Positive BSGI examinations were present in 136 of 142 nondense breast cancers and 195 of 205 dense breast cancers, for sensitivities of 95.8 percent and 95.1 percent, respectively. There was no significant difference in BSGI breast cancer detection and parenchymal breast density.
“BSGI has high sensitivities for the detection of breast cancer in women with dense and nondense breasts and is an effective adjunct imaging modality in women with both dense and nondense breasts,” the authors concluded.
Mammography and Breast MRI: Is it Time to Evaluate Strategies as Opposed to Modalities?
July 5th 2024The combination of mammography with breast MRI within 90 days had a 96.2 percent sensitivity in comparison to 48.1 percent for mammography and 79.7 percent for breast MRI performed within 91 to 270 days after index mammography, according to newly published research.
ACR Collaborative Model Leads to 35 Percent Improvement with Mammography Positioning Criteria
July 1st 2024Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.