ReviewJournal of neuro-oncology2026
Advances in imaging modalities and tumor classification for vestibular schwannomas.
Review in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeVestibular schwannomas are benign tumors of the cerebellopontine angle that may causesignificant neurological morbidity. Magnetic resonance imaging (MRI) remainsthe diagnostic gold standard; however, recent advances in neuroradiologictechniques have improved lesion characterization and refined surgical planning.This review summarizes contemporary imaging developments and their clinicalrelevance in the management of vestibular schwannomas.
methodsA narrative review of the literature over the past two decades was conducted to identifykey radiographic advances and classification systems relevant to vestibularschwannomas.
resultsRecent literature highlights the expanding role of advanced imaging techniques in the evaluationof vestibular schwannomas. High-resolution MRI sequences, diffusion tensorimaging (DTI), and positron emission tomography (PET) have improved assessmentof tumor anatomy. Emerging, imaging-based classification systems and artificialintelligence-assisted analyses will likely further enhance tumorcharacterization and improve preoperative planning and prognostic assessment.
conclusionsAdvances in neuroradiologic imaging have improved the evaluation and management ofvestibular schwannomas. Integration of advanced MRI techniques, tractography,PET imaging, and emerging artificial intelligence tools provides greaterprecision in tumor characterization, surgical planning, and outcome prediction.
Indexed as
Identifiers
41838294What OpenQuestion holds
Registered trials
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.