The two screening methods have similar sensitivity and specificity in finding microcalcifications.
Synthetic mammography (SM) plus digital breast tomosynthesis (DBT) find microcalcifications at a similar rate as full-field digital mammography (FFDM) alone, according to a study published in the journal Radiology.
Researchers from Taiwan and the United States performed a retrospective study to compare the performance of SM plus DBT with FFDM in the detection of microcalcifications on screening mammograms.
Related article:Â Breast Density Estimations in Standard-dose, Synthetic Mammograms
The researchers reviewed 72 consecutive screening mammograms recalled for microcalcifications and 20 controls, evaluated with both FFDM and DBT:
FFDM alone was compared to synthetic mammography plus DBT. Four readers independently reviewed each data set and microcalcification recalls were tabulated.
The results showed that the reader agreement was kappa value of 0.66 for FFDM and 0.63 for SM plus DBT. Mixed-effects model concluded no differences between modalities.
Â
The researchers concluded that relative to FFDM, SM plus DMT had similar sensitivity and specificity for the detection of microcalcifications previously identified for recall at screening mammography.
GE HealthCare Launches AI Mammography Platform with Key Applications from iCAD
November 30th 2023Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.
Study Says Contrast-Enhanced Mammography Offers Comparable Breast Cancer Detection to MRI
November 15th 2023In findings from an enriched cohort of asymptomatic patients with screening-detected abnormalities, researchers found that contrast-enhanced mammography (CEM) was superior to conventional mammography and offered equivalent detection of breast cancer in comparison to breast MRI and abbreviated breast MRI.
What a New Review Reveals About Mammography-Based AI and Breast Cancer Risk Assessment
November 9th 2023Mammography-based artificial intelligence (AI) models demonstrated an 11 percent higher median AUC for predicting breast cancer than traditional clinical risk factors, according to a new systematic review of 16 retrospective studies.