Intraoperative superb microvascular ultrasound imaging in glioma: novel quantitative analysis correlates with tumour grade
This study leveraged SMI to provide further insights into the microvascular architecture of gliomas which is not resolvable by magnetic resonance imaging. Applying novel quantitative analysis the study demonstrated that there are quantifiable differences in vascular morphology between high grade and low-grade gliomas. This unique in vivo imaging of glioma vascularity and quantification warrants further exploration as a potential new diagnostic and prognostic tool that may support glioma management, intraoperative decision-making and informing future prognosis.
Authors
- Alistair Weld (ORCID: https://orcid.org/0000-0002-2951-5652)
- Adrian Lim (ORCID: https://orcid.org/0000-0003-3904-2876)
- Sophie Camp
- Stamatia Giannarou (ORCID: https://orcid.org/0000-0002-8745-1343)
- Matthew Grech‐Sollars (ORCID: https://orcid.org/0000-0003-3881-4870)
- Luke Dixon (ORCID: https://orcid.org/0000-0003-4060-7897)
- Neekhil A Patel
- Dolin Bhagawati
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- Imperial College Healthcare NHS Trust (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Acta Neurochirurgica
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1007/s00701-025-06535-2
- Citations
- 1
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- UK Research and Innovation
- National Institute for Health and Care Research
- Royal Society
- NIHR Imperial Biomedical Research Centre