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Summary

Developed at INESC TEC, the BCCT.core software is an innovative solution to support the aesthetic assessment of breast reconstruction.

By analysing several parameters such as breast asymmetry, skin colour differences and scar appearance, BCCT.core uses proprietary machine learning algorithms to provide a set of key biometrics in order to help clinicians at offering the best clinical outcomes.

 

 

Challenge|Opportunity

Assessment of breast aesthetics currently relies on a subjective and time-consuming process involving a panel of observers and/or a self-evaluation. The absence of quantitative aesthetic metrics makes the communication between clinicians and patients difficult.

 

Therefore, there is a clinical need for a solution in order to ease the pre-breast surgery planning.

 

 

Main Advantages

  • Automated analysis of images of BCCT, aiming to categorise the images into excellent, good, fair, and poor classes;
  • Objective assessment methodology with registries for further follow-up;
  • High accuracy (comparable with the panel of experts);
  • Prediction of the aesthetic result of the breast surgery (cosmetic outcome)

Applications

  • Breast conservative surgery

  • Commercial Rights

    Exclusive
  • Development Stage

    Industrial prototype (TRL 5-6)
  • Further Information

    <p><a href="http://www.inescporto.pt/~jsc/publications/journals/2007JaimeAIIM.pdf" target="_blank">Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment</a></p> <p><a href="http://www.inescporto.pt/~jsc/publications/journals/2015MJCardosoCOMM.pdf" target="_blank">The breast cancer conservative treatment. Cosmetic results – BCCT.core</a></p> <p><a href="https://youtu.be/azzaEvIY8C8" target="_blank">Demo video</a></p>
  • IPR Status

    Copyright
  • Licensing Availability

    Worldwide
  • Industrial Categories

    Healthcare
  • Tags

    e-Health, Computer-aided diagnosis, Image processing and analysis, Medical device, Public health and primary care, Breast cancer, Cosmetic outcome, Plastic Surgery, Pre-operative planning, SaMD, Simulation, Objective evaluation
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