- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Fewer Recalls with Synthesized Mammography Plus Digital Breast Tomosynthesis
The use of synthesized mammography instead of additional full-field digital mammography has no significant effect on biopsy rate.
Synthesized mammography (SM) with digital breast tomosynthesis (DBT) lowers recall rate, according to a study published in the journal Academic Radiology.
Researchers from Johns Hopkins University in Baltimore, Md., and the University of Wisconsin in Madison sought to evaluate the screening performance of DBT combined with SM versus combined with full-field digital mammography (FFDM).
The researchers retrospectively reviewed 7,745 screening studies utilizing FFDM plus DBT and 14,776 with SM plus DBT. They compared recall rate, biopsy rate, positive predictive value 1 (PPV1), positive predictive value 3 (PPV3), and cancer detection rate (CDR) between the two groups.
The results showed the overall recall rate was 7.06 percent in the SM + DBT cohort, which was significantly lower compared to 7.63 percent in the FFDM + DBT cohort. There was no difference in biopsy rate, PPV1, PPV3, or CDR between the two groups.
The researchers concluded that their findings support the use of SM for patients undergoing screening with DBT.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
Mammography News: FDA Grants Expanded 510(k) Clearance for AI-Powered SmartMammo Dx DBT Software
November 29th 2024Originally cleared by the FDA in 2021, the SmartMammo Dx software for digital breast tomosynthesis (DBT) can now be utilized with the Senographe Pristina mammography systems from GE HealthCare.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
