Transpara
Transpara is a software device for automated detection of regions in mammograms suspicious for breast cancer.1,2
- Breast Cancer
- Reading Aid
- X-Ray
The Global Burden of Breast Cancer
Nearly 700,000 deaths from breast cancer occurred in 2020 and the global breast cancer burden is predicted to increase to over 3 million new cases and 1 million deaths every year by 2040.3
A Concurrent Reading Aid for Radiologists
Transpara software is intended for use as a concurrent reading aid for radiologists during interpretation of 2D and 3D mammograms of asymptomatic women to identify regions suspicious for breast cancer. Output of the device contains region-based scores indicating the likelihood that cancer is present in specific regions and an overall score indicating the likelihood that cancer is present on the mammogram.1
Improves Breast Cancer Reading Accuracy in 2D and 3D Mammograms1,2,4-6
Speed. Performance.
Efficiency.
Improves radiologists' reading time per 3D exam1,2-6
Potentially improves screening outcomes7-8
May reduce workload7-8
1. ScreenPoint Transpara User Manual v1.7.3 SPM-MGR-009-001 Rev 5.10
2. van Winkel SL, Rodríguez-Ruiz A, Appelman L, et al. Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study. Eur Radiol. 2021;31(11):8682-8691.
3. Arnold M, Morgan E, Rumgay H, et al. Current and future burden of breast cancer: Global statistics for 2020 and 2040. Breast. 2022;66:15-23.
4. Rodriguez-Ruiz A, Krupinski E, MordangJJ, et al. Detection of breast cancer with mammography: effect of artificial intelligence support system. Radiology. 2019;290(2):305-14.
5. Pinto MC, Rodriguez-Ruiz A, Pedersen K, et al. Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis. Radiology. 2021;300(3):529-536.
6. Elías Cabot E, Romero Martin S, Raya Povedano J L, Gubern- Mérida A, Álvarez Benito M. Evaluation of the performance of artificial intelligence (AI) after the first six months of use in breast cancer screening practice: Is the promise being delivered? ECR 2022.
7. Lauritzen AD, Rodríguez-Ruiz A, von Euler-Chelpin MC, et al. An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload. Radiology. 2022;304(1):41-49.
8. Raya-Povedano JL, Romero-Martín S, Elías-Cabot E, Gubern-Mérida A, Rodríguez-Ruiz A, Álvarez-Benito M. AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation. Radiology. 2021;300(1):57-65.
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