Inter-observer agreement in interpreting intraoperative ultrasonography during brain tumour surgery
Here we demonstrate significant inter-observer variability in iUS for brain tumour surgery. The degree of variability is tumour-type and operative stage dependent. This work adds weight to the value of building machine learning augmented iUS for brain tumour surgery.
Authors
- Aimun A. B. Jamjoom (ORCID: https://orcid.org/0000-0001-8108-7854)
- Jack Wildman
- Neil U. Barua (ORCID: https://orcid.org/0000-0001-8348-5354)
- Constantinos Charalambides
- Davide Giampiccolo (ORCID: https://orcid.org/0000-0003-3849-4168)
- Olivier J. J. Sluijters
Institutions
- Queen Mary University of London (GB)
- Southmead Hospital (GB)
- Queen's Hospital (GB)
- University College London (GB)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2025-10-23
- DOI
- https://doi.org/10.3389/fsurg.2025.1679617
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00