Association between induced organ atrophy assessed by artificial intelligence-generated automatic segmentation and efficacy of bevacizumab in combination with chemotherapy in metastatic colorectal cancer
Our findings support the feasibility and reliability of AI in organ volume measurement. While bevacizumab exposure was linked to non-tumoural liver atrophy, its impact on survival remains inconclusive after adjustment. These results pave the way for further research into bevacizumab-induced organ atrophy and the potential of AI in personalizing oncology treatments.
Authors
- Manuel Abbas (ORCID: https://orcid.org/0000-0003-0939-0781)
- Stefan Kircher (ORCID: https://orcid.org/0000-0002-8351-567X)
- Faïza Khemissa
- Côme Lepage (ORCID: https://orcid.org/0000-0001-9211-4707)
- Claire Carlier (ORCID: https://orcid.org/0000-0002-9889-1424)
- Thomas Aparicio (ORCID: https://orcid.org/0000-0001-8834-6927)
- Mathias Brügel (ORCID: https://orcid.org/0000-0001-7574-9364)
- Olivier Bouché (ORCID: https://orcid.org/0000-0002-8284-3743)
- Christine Hoeffel (ORCID: https://orcid.org/0000-0002-2551-3545)
- Pierre-Henri Conze (ORCID: https://orcid.org/0000-0003-2214-3654)
- Karine Le Malicot
- Malik Laich
- Mohammed Ben Abdelghanie
Institutions
- Inserm (FR)
- Université de Bretagne Occidentale (FR)
- Université d'Avignon et des Pays de Vaucluse (FR)
- Centre Hospitalier de Perpignan (FR)
- Institut de Cancérologie Strasbourg (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Centre Hospitalier Universitaire de Reims (FR)
- CHU Dijon Bourgogne (FR)
- Laboratoire Informatique d'Avignon (FR)
- Fédération Francophone de Cancérologie Digestive (FR)
- Centre Hospitalier de la Côte Basque (FR)
- IMT Atlantique (FR)
- Hôpital Universitaire Dupuytren (FR)
- Hôpital Saint-Louis (FR)
- Institut Jean Godinot (FR)
- Université de Reims Champagne-Ardenne (FR)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s40644-025-00951-4
- Primary Topic
- Colorectal Cancer Treatments and Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00