Transpara is a product for mammography reading. Algorithms in Transpara® use image analysis and deep learning technology. Key features of Transpara are: Decision support for suspicious areas, CAD, and exam selection for pre-screening.
Product specifications Information source: Vendor
Last updated: Sept. 13, 2021
Product name Transpara
Company ScreenPoint Medical
Subspeciality Breast
Modality Mammography
Disease targeted Breast cancer
Key-features Perception Aid, Region Analysis, Exam Score, Risk score
Suggested use Before: stratifying reading process (non, single, double read), adapting worklist order, flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
After: diagnosis verification
Data characteristics
Population Asymptomatic women
Input 2D Full-Field Digital Mammography, 3D Digital Breast Tomosynthesis
Input format DICOM
Output Region findings, region scores and an exam score
Output format DICOM Mammography CAD Structured Report
Integration Integration in standard reading environment (PACS), Stand-alone third party application
Deployment Locally on dedicated hardware, Locally virtualized (virtual machine, docker)
Trigger for analysis Automatically, right after the image acquisition
Processing time 1 - 10 minutes
Certified, Class IIa , MDD
510(k) cleared, Class II
Market presence
On market since 09-2015
Distribution channels Incepto Medical, Volpara Solutions, Siemens Healthineers, Agfa Healthcare, Fujifilm, HumanBytes, Sectra Amplifier Store
Countries present (clinical, non-research use) Non-disclosed
Paying clinical customers (institutes) Non-disclosed
Research/test users (institutes) Non-disclosed
Pricing model
Based on
Peer reviewed papers on performance

  • Transpara 3D, 1.7.0: AI Detection of Missed Cancers on Digital Mammography That Were Detected on Digital Breast Tomosynthesis (read)

  • Transpara 3D, 1.6.0: Impact of Artificial Intelligence Decision Support Using Deep Learning on Breast Cancer Screening Interpretation with Single-View Wide-Angle Digital Breast Tomosynthesis (read)

  • Transpara 2D+3D, 1.6.0: AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation (read)

  • Transpara 3D, 1.6.0: Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study (read)

  • Transpara 2D, 1.5.0: Can artificial intelligence reduce the interval cancer rate in mammography screening? (read)

  • Transpara 2D, 1.3.0: Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women Breast Cancer (read)

  • Transpara 2D, 1.4.0: Identifying normal mammograms in a large screening population using artificial intelligence (read)

  • Transpara 2D, 1.4.0: Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study (read)

  • Transpara 2D, 1.3.0: Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System (read)

  • Transpara 2D, 1.4.0: Stand-alone artificial intelligence for breast cancer detection in mammography: Comparison with 101 radiologists (read)

Non-peer reviewed papers on performance
Other relevant papers

  • Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts (read)

  • Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses (read)

  • Using Computer Aided Detection in Mammography as a Decision Support (read)