Clinical target volumes for glioma – Automated delineation to improve neuroanatomic consistency
We have successfully incorporated expert knowledge to improve the neuroanatom-ical consistency of automatically-generated CTVs for glioma.
Authors
- Thomas Bortfeld (ORCID: https://orcid.org/0000-0002-3883-0398)
- Fredrik Löfman
- Helen Alice Shih (ORCID: https://orcid.org/0000-0003-1550-9726)
- G Sharp (ORCID: https://orcid.org/0000-0001-8575-9611)
- Gregory Buti (ORCID: https://orcid.org/0000-0003-1516-537X)
- Christopher P. Bridge (ORCID: https://orcid.org/0000-0002-2242-351X)
- Marcela Giovenco
- Ali Ajdari (ORCID: https://orcid.org/0000-0003-4672-4998)
- Tuğba Yılmaz (ORCID: https://orcid.org/0000-0001-9187-7665)
Institutions
- Recep Tayyip Erdoğan University (TR)
- Massachusetts General Hospital (US)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- RaySearch Laboratories (Sweden) (SE)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100865
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00