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Decision support in lung cancer diagnostics

Decision support in lung cancer diagnostics

The project's goal is to develop, integrate and implement a new tool for image analysis and decision support in patient care for lung cancer.

Virtual bronchoscopy visualisation (CT) and testing for planning by pulmonologists at Levanger Hospital. Ill. and photo: The project

The tool will facilitate a patient-specific assessment and treatment plan via radiological examinations, invasive procedures and to the multi-disciplinary team (MDT) meeting where treatment is planned. The patient's CT and PET-CT will be analyzed with artificial intelligence (machine learning) and traditional methods for finding normal anatomy and pathology (tumor). 3D models can be produced to optimize patient information, assessment and treatment strategy. The patient's personal model will be modified when new digital biopsy results and image examinations are included, and will then be a complete tool with integrated data for the MDT meeting.

Published 06 November 2020
Chief Scientist
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Project duration

2020 - 2022