Aim

MammoRisk is a predictive and personalised medical approach that is particularly innovative and unique, combining medical imaging thanks to a proprietary software, DenSeeMammo, Big Data and statistics through a Scoring tool and genetics profile thanks to a polygenic risk score (PRS).

Données MammoRisk

The image is analysed in order to extract the breast density, the first breast cancer risk factor.

Using a limited questionnaire on personal and family history, an initial risk assessment is carried out by comparing the patient to the biggest female cohort databases in the world.

This risk assessment is refined using a genetic test carried out from a saliva sample.

MammoRisk Interface

MammoRisk is an expert software which enables the risk of breast cancer to be estimated in women over 40 years old. MammoRisk uses an innovative risk prediction model, based on a “data mining” method, to determine the risk of developing breast cancer in women (for the general population).

The general population risk measurements come from data from organised French (350,000 women) and American (1,000,000 women) screenings, in collaboration with several screening structures.

Predilife has worked with the Gustave Roussy cancer centre and has received support from the ARC Foundation.

MammoRisk Interface

MammoRisk has an interface that is extremely easy to use. Only 4 criteria are required to calculate the risk of breast cancer: the patient’s age, family history, biopsy history and breast density. The results are visualised via a display of the risk % or using a graph.

MammoRisk Report

MammoRisk allows the user to edit a complete report, including:

  • Identification of the patient
  • Breast density assessment
  • Breast cancer risk assessment
  • A personalised follow-up programme established using official recommendations

This report can be stored or printed (PDF format) or sent to the server (DICOM format).

Block diagram

MammoRisk can be used in “autonomous” mode or be connected to the establishment’s network in order to be able to:

  • Access the images (DICOM format)
  • Access the patient’s data
  • Send the results back to the server (DICOM format)