Automatic segmentation of pediatric brain tumors in the posterior fossa and the surrounding anatomy: an efficient method for optimized preoperative planning and patient education
This study showed the successful development of an automatic segmentation algorithm tailored for pediatric posterior fossa tumors and relevant surrounding anatomy, enabling efficient 3D visualization for preoperative planning and patient education. This study provides a valuable basis for future research aimed at implementing advanced 3D visualization techniques for preoperative planning and patient education in pediatric neurosurgery.
Authors
- Eelco W. Hoving (ORCID: https://orcid.org/0000-0002-5587-0439)
- Mathijs de Boer (ORCID: https://orcid.org/0009-0004-6415-7194)
- Tim Fick (ORCID: https://orcid.org/0000-0001-8900-7492)
- Tristan P. C. van Doormaal (ORCID: https://orcid.org/0000-0002-6299-3859)
- Kevin Klein Gunnewiek (ORCID: https://orcid.org/0009-0006-5476-6820)
Institutions
- University Medical Center Utrecht (NL)
- University Hospital of Zurich (CH)
- Princess Máxima Center (NL)
Publication Details
- Journal
- Journal of Neurosurgery Pediatrics
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3171/2025.5.peds24567
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63