The value of AI for assessing longitudinal brain metastases treatment response
Automatic BM contouring and volumetric measurements provide promising tools to improve follow-up and treatment decisions in BM management. By enhancing precision and reproducibility, these methods can streamline clinical workflows and improve the evaluation of response in trials and practice.
Authors
- Andreas Felix Hottinger (ORCID: https://orcid.org/0000-0001-7098-9414)
- Vincent Andrearczyk
- John Olivier Prior (ORCID: https://orcid.org/0000-0003-1429-1374)
- Vincent Dunet (ORCID: https://orcid.org/0000-0002-9897-4561)
- Adrien Depeursinge (ORCID: https://orcid.org/0000-0002-2362-0304)
- Luis Schiappacasse (ORCID: https://orcid.org/0000-0001-7621-1662)
- Jean Bourhis (ORCID: https://orcid.org/0000-0001-5162-1171)
- Michel A. Cuendet (ORCID: https://orcid.org/0000-0002-0754-3425)
- Matthieu Raccaud
Institutions
- HES-SO Valais-Wallis (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/noajnl/vdae216
- Citations
- 2
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Hasler Stiftung
- Centre Hospitalier Universitaire Vaudois
- Swiss Cancer Research Foundation
- Brain Tumour Research