Evidence map›Paper›PMID 40327144›Full record

ArticleActa neurochirurgica2025

Intraoperative superb microvascular ultrasound imaging in glioma: novel quantitative analysis correlates with tumour grade.

Luke Dixon, Alistair Weld, Dolin Bhagawati, Neekhil Patel, Stamatia Giannarou, Matthew Grech-Sollars, Adrian Lim, Sophie Camp

Abstract read
In one paragraph

Article in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Luke DixonDivision of Surgery and Cancer, Imperial College London, London, UK. luke.dixon03@imperial.ac.uk.
Alistair WeldHamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, Exhibition Rd, London, SW7 2AZ, UK.
Dolin BhagawatiDivision of Surgery and Cancer, Imperial College London, London, UK.
Neekhil PatelDivision of Surgery and Cancer, Imperial College London, London, UK.
Stamatia GiannarouHamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, Exhibition Rd, London, SW7 2AZ, UK.
Matthew Grech-SollarsDepartment of Computer Science, University College London, London, UK.
Adrian LimRadiology, Imperial College NHS Trust, London, UK.
Sophie CampDivision of Surgery and Cancer, Imperial College London, London, UK.

Funding

Royal Society URF\R\2 01014UK Research and Innovation EP/S023283/1
6 · The paper itself

Abstract

backgroundAccurate 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.

methodsWe 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.

resultsHigh-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).

conclusionsThis 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.

Indexed as

Brain NeoplasmsGliomaMicrovesselsNeovascularization, PathologicUltrasonography, DopplerAdultAgedFemaleHumansMaleMiddle AgedNeoplasm GradingGliomaMicrovascularSMIUltrasound

Identifiers

PMID40327144
PMCPMC12055884

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.