Sophia Genetics – Dasa
Nov 2018 - May 2020
DASA, São Paulo, Brazil
SOPHiA for Radiomics is a groundbreaking application that analyzes medical images and combines them with biological and clinical data to predict tumor evolution. The aim of the pilot was to show that radiomics for glioblastomas and non-small cell lung cancer have the ability to enhance diagnosis and prognosis, along with following the progression of the disease and assessing the therapeutic response. These applications were shown to be relevant for clinicians and radiologists at DASA.
Innovator
SOPHiA Genetics
Adopter
Dasa
Results
- A total of 149 patients’ data were analyzed using SOPHiA Radiomics in this project.
- The project compared and cross validated performances of several machine learning algorithms developed in order to stratify tumors (glioblastomas) by molecular status and histology.
- DASA also provided valuable feedback to the SOPHiA team, supporting the development of improved features and new developments such as:
- 50% efficiency gain to segment glioma patients (from 45’- 1 hour on V1 reduced to 30’ on average)
- Lung tumors segmentation improvements
- Multi-modal visualization and features extraction
- New radiomic features calculations
Lessons Learned
Through this project, SOPHiA GENETICS gathered on-field-feedback from the DASA team which was valuable in improving their platform and offering. To fully support the project, SOPHiA GENETICS made available a dedicated data scientist who supported the radiomic feature calculations. This has now been adopted as a standard proposed service to health institutions no matter their size or organizational structure, helping to efficiently manage the project in order to optimize clinicians’ time and allow them to access valuable patient data.
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