Dixon, Luke;
Weld, Alistair;
Bhagawati, Dolin;
Patel, Neekhil;
Giannarou, Stamatia;
Grech-Sollars, Matthew;
Lim, Adrian;
(2025)
Intraoperative superb microvascular ultrasound imaging in glioma: novel quantitative analysis correlates with tumour grade.
Acta Neurochirurgica
, 167
, Article 133. 10.1007/s00701-025-06535-2.
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Abstract
Background: Accurate grading of gliomas is critical to guide therapy and predict prognosis. The presence of microvascular proliferation is a hallmark feature of high grade gliomas which to directly visualise traditionally requires targeted surgical biopsy of representative tissue. Superb microvascular imaging (SMI) is a novel high resolution Doppler ultrasound technique which can uniquely define the microvascular architecture of whole tumours. // Methods: We examined both qualitative and quantitative vascular features of 32 gliomas captured with SMI, analysing flow signal density, vessel number, branching points, curvature, vessel angle deviation, fractal dimension, and entropy. // Results: High-grade gliomas exhibit significantly greater vascular complexity and disorganisation, with increased fractal dimension and entropy, correlating with known histopathological markers of aggressive angiogenesis. The integrated ROC model achieved high accuracy (AUC = 0.95). // Conclusions: 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.
| Type: | Article |
|---|---|
| Title: | Intraoperative superb microvascular ultrasound imaging in glioma: novel quantitative analysis correlates with tumour grade |
| Location: | Austria |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00701-025-06535-2 |
| Publisher version: | https://doi.org/10.1007/s00701-025-06535-2 |
| Language: | English |
| Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | SMI; Ultrasound; Glioma; Microvascular |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10209745 |
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