ReviewFundamental research2026
Imaging strategies for delineating glioma margins: Aiming at precise therapy.
Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Raman spectroscopy as a diagnostic tool for glioma: protocol for a systematic review.Diagnostic and prognostic research · 2026Review
- Retardance and depolarization of brain white matter as markers for intraoperative delineation of brain tumors: experiments and simulations.Biomedical optics express · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surgical resection aiming at maximal safe resection is the primary treatment for gliomas. However, the infiltrative growth characteristics of gliomas make it challenging to determine tumor margins, and traditional structural imaging provides assistance to neurosurgeons but not enough. In recent years, with a deepening understanding of gliomas, various features of tumor cells, tumor metabolism, and the tumor microenvironment have been discovered, some of which can serve as targets for glioma visualization. Based on these new findings, a range of visualization techniques have been developed, offering powerful tools for the precise identification of glioma margins. This review aims to describe the current state of research on glioma identification, summarizing the characteristics and implications of various glioma imaging technologies and discussing their advantages and limitations in tumor margin delineation. Importantly, novel imaging techniques that will potentially push forward the development in this challenging field are foreseen as well.
Indexed as
Identifiers
What Socratic 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 Socratic graph.