Evidence map›Paper›PMID 42400691›Full record

ReviewJournal of neuro-oncology2026

Intraoperative technological advances and new frontiers in precision glioma surgery.

Christina Abi Faraj, Christopher C Young, Thomas H Beckham, Jeffrey S Weinberg

Abstract readReview
In one paragraph

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Christina Abi FarajDepartment of Neurosurgery, The University of Texas MD, Anderson Cancer Center, 1400 Holcombe Blvd. FC7.2036, Houston, TX, 77030, USA.
Christopher C YoungDepartment of Neurosurgery, The University of Texas MD, Anderson Cancer Center, 1400 Holcombe Blvd. FC7.2036, Houston, TX, 77030, USA.
Thomas H BeckhamDepartment of Radiation Oncology, The University of Texas MD, Anderson Cancer Center, Houston, TX, USA.
Jeffrey S WeinbergDepartment of Neurosurgery, The University of Texas MD, Anderson Cancer Center, 1400 Holcombe Blvd. FC7.2036, Houston, TX, 77030, USA. jweinberg@mdanderson.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffuse gliomas remain among the most surgically challenging tumors, characterized by their infiltrative nature, proximity to eloquent brain structures, and the formidable barrier posed by the BBB to systemic therapeutic delivery. Maximizing extent of resection (EOR) while preserving neurological function remains a central determinant of survival and quality of life, and the iterative integration of intraoperative technologies into surgical practice has become essential to achieving this balance.

methodsWe performed a comprehensive narrative review of established and emerging intraoperative technologies for glioma surgery, organized around two clinical imperatives: optimizing tumor delineation and safe resection, and enhancing local therapeutic delivery.

resultsAwake craniotomy with direct electrical stimulation remains the gold standard for preserving eloquent cortex and subcortical tracts, consistently reducing postoperative neurological deficits while increasing gross total resection rates. Fluorescence-guided surgery with 5-ALA and fluorescein enhances real-time tumor margin visualization, and their combined use achieves greater EOR than either agent alone. Intraoperative MRI compensates for progressive brain shift and, when used alongside 5-ALA, provides the strongest currently available platform for maximizing safe resection. Augmented reality navigation further enhances spatial orientation by overlaying 3D virtual anatomy directly onto the operative field. Emerging tissue characterization tools, including stimulated Raman histology, confocal laser endomicroscopy, and AI-based platforms such as FastGlioma and DeepGlioma, enable rapid intraoperative molecular diagnosis without the delays of conventional frozen section pathology. For therapeutic delivery, low-frequency focused ultrasound and convection-enhanced delivery bypass the BBB to achieve high local drug concentrations, while endovascular intra-arterial infusion enables targeted delivery across the tumor vascular territory. Photodynamic and sonodynamic therapy generate localized cytotoxic effects within the resection cavity at the time of surgery. Intraoperative brachytherapy with Cesium-131 tile implants delivers conformal radiation at the time of resection and may potentiate antitumor immunity. Laser interstitial thermal therapy combines cytoreduction with sustained BBB disruption, creating a therapeutic window for otherwise CNS-impermeant agents including checkpoint inhibitors.

conclusionThe deliberate integration of these complementary modalities into a phase-organized intraoperative workflow, spanning preoperative planning, real-time resection guidance, intraoperative margin and tissue assessment, and post-resection locoregional therapeutic delivery, defines the emerging paradigm of precision glioma surgery. Realizing the full potential of this framework will require prospective validation of combinatorial strategies, standardization of technology integration protocols, and rigorous evaluation of neurological and oncological outcomes.

Indexed as

Brain NeoplasmsGliomaMonitoring, IntraoperativeNeurosurgical ProceduresPrecision MedicineSurgery, Computer-AssistedHumansArtificial intelligenceBrachytherapyEndovascular surgical neuro-oncologyExtent of resectionFluorescence-guided surgeryFocused ultrasoundGliomaIntraoperative MRI

Identifiers

PMID42400691
PMCPMC13333004

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.