Evidence map›Paper›PMID 40261443›Full record

ReviewActa neurochirurgica2025

Emerging strategies for the prediction of behaviour, growth, and treatment response in vestibular schwannoma.

Daniel Lewis, Ka-Loh Li, Ibrahim Djoukhadar, Cathal J Hannan, Omar N Pathmanaban, David J Coope, Andrew T King

Abstract readReview
In one paragraph

Review in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Molecular therapy. Nucleic acids · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel LewisDivision of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. daniel.lewis-3@manchester.ac.uk.
Ka-Loh LiGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
Ibrahim DjoukhadarGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
Cathal J HannanGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
Omar N PathmanabanGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
David J CoopeDivision of Cancer Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Andrew T KingGeoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.

Funding

CRUK and EPSRC Cancer Imaging Centre in Cambridge and Manchester C8742/A18097
6 · The paper itself

Abstract

Vestibular schwannoma (VS) can present several management challenges for the clinician. Their unpredictable potential for growth creates uncertainty regarding when active treatment should be initiated, and once growth is confirmed which treatment option should be adopted, notably surgery or radiotherapy, and in particular stereotactic radiosurgery (SRS). The obvious benefits of SRS would ideally come with the ability to reliably predict long-term radiosurgery response/failure. Differentiation from temporary post-treatment phenomena such as transient tumour expansion or reactive swelling remains an unmet need. More powerful again would be the pre-treatment identification of which tumours will respond to radiosurgery and which will not. Over the past decade, there has been emerging interest in the development of non-invasive biomarkers, including imaging, for predicting growth and treatment response in VS. Alongside clinical radiographic predictors for VS growth such as extracanalicular tumour location and growth in the first year, studies have shown potential promise for advanced MRI and blood-based biomarkers that capture pathophysiological mechanism behind VS growth. Emerging interest in radiomics-based analyses of routinely acquired MRI, and the use of physiological imaging techniques such as dynamic-contrast enhanced MRI for pre- and post-treatment evaluation of tumour microvasculature and microstructure holds promise for revolutionizing this area. This article explores the current state of identifying VS growth at initial presentation, predicting treatment response to SRS and detecting early treatment failure, and finally the potential for developing more personalized patient selection for drug therapies, including bevacizumab, as well as emerging novel therapeutics for these tumours.

Indexed as

Neuroma, AcousticRadiosurgeryHumansMagnetic Resonance ImagingTreatment OutcomeBiomarkersDCE-MRIInflammationNF2-SWNRadiomicsVestibular schwannoma

Identifiers

PMID40261443
PMCPMC12014738

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.