Transpara
Transpara supports detection of potential abnormalities suspicious for breast cancer in mammograms.
- Breast Cancer
- Reading Aid
- X-Ray
The Global Burden of Breast Cancer
Nearly 700,000 deaths from breast cancer across the world 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 physicians interpreting screening full-field digital mammography (FFDM) exams and digital breast tomosynthesis (DBT) exams from compatible FFDM and DBT systems. The software is designed to identify regions suspicious for breast cancer and assess their likelihood of malignancy.1
Improves Breast Cancer Detection Accuracy in 2D and 3D Mammograms2,4-7
Speed. Performance.
Efficiency.
Improves radiologists' reading time per 3D exam2-7
Potentially improves screening outcomes8-9
May reduce workload8-9
1. Transpara 510K K210404
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. ScreenPoint Medical Transpara 1.6.0 DBT/3D FDA 510k clearance K193229.
8. 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.
9. 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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