Evidence map›Paper›PMID 30977059›Full record

ArticleJournal of neuro-oncology2019

Evaluation of pediatric glioma outcomes using intraoperative MRI: a multicenter cohort study.

Michael Karsy, S Hassan Akbari, David Limbrick, Eric C Leuthardt, John Evans, Matthew D Smyth, Jennifer Strahle, Jeffrey Leonard, Samuel Cheshier, Douglas L Brockmeyer and 15 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Intraoperative MRI versus intraoperative ultrasound in pediatric brain tumor surgery: is expensive better than cheap? A review of the literature.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2022
    Pooled it
  2. Pooled it
  3. Intraoperative MRI in pediatric brain tumor surgery: Optimizing surgical decision-making and extent of resection.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Observational
  4. Article
  5. Article
  6. Review
  7. A Low Subfrontal Dural Opening for Operative Management of Anterior Skull Base Lesions.Journal of neurological surgery. Part B, Skull base · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Intraoperative MRI for Brain Tumors.Journal of neuro-oncology · 2021
    Review
  12. Article
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  14. Article
  15. Review
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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

25 authors at 6 institutions in 2 countries.

Michael KarsyDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
S Hassan AkbariDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
David LimbrickDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
Eric C LeuthardtDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
John EvansDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
Matthew D SmythDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
Jennifer StrahleDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
Jeffrey LeonardDepartment of Neurosurgery, Nationwide Children's Hospital, Columbus, OH, USA.
Samuel CheshierDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
Douglas L BrockmeyerDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
Robert J BolloDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
John R KestleDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA.
John HoneycuttDepartment of Neurosurgery, Cook Children's Neurosciences, Forth Worth, TX, USA.
David J DonahueDepartment of Neurosurgery, Cook Children's Neurosciences, Forth Worth, TX, USA.
Richard A RobertsDepartment of Neurosurgery, Cook Children's Neurosciences, Forth Worth, TX, USA.
Daniel R HansenDepartment of Neurosurgery, Cook Children's Neurosciences, Forth Worth, TX, USA.
Jay Riva-CambrinDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Garnette SutherlandDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Clair GallagherDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Walter HaderDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Yves StarreveldDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Mark HamiltonDepartment of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Ann-Christine DuhaimeDepartment of Neurosurgery, Massachusetts General Hospital for Children, Boston, MA, USA.
Randy L JensenDepartment of Neurosurgery, University of Utah, Salt Lake City, UT, USA. neuropub@hsc.utah.edu.ORCID http://orcid.org/0000-0002-2824-4221
Michael R ChicoineDepartment of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USUniversity of Calgary · CAUniversity of Utah · USCook Children's Health Care System · USMassachusetts General Hospital · USNationwide Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of intraoperative MRI (iMRI) during treatment of gliomas may increase extent of resection (EOR), decrease need for early reoperation, and increase progression-free and overall survival, but has not been fully validated, particularly in the pediatric population.

objectiveTo assess the accuracy of iMRI to identify residual tumor in pediatric patients with glioma and determine the effect of iMRI on decisions for resection, complication rates, and other outcomes.

methodsWe retrospectively analyzed a multicenter database of pediatric patients (age ≤ 18 years) who underwent resection of pathologically confirmed gliomas.

resultsWe identified 314 patients (mean age 9.7 ± 4.6 years) with mean follow-up of 48.3 ± 33.6 months (range 0.03-182.07 months) who underwent surgery with iMRI. There were 201 (64.0%) WHO grade I tumors, 57 (18.2%) grade II, 24 (7.6%) grade III, 9 (2.9%) grade IV, and 23 (7.3%) not classified. Among 280 patients who underwent resection using iMRI, 131 (46.8%) had some residual tumor and underwent additional resection after the first iMRI. Of the 33 tissue specimens sent for pathological analysis after iMRI, 29 (87.9%) showed positive tumor pathology. Gross total resection was identified in 156 patients (55.7%), but this was limited by 69 (24.6%) patients with unknown EOR.

conclusionsAnalysis of the largest multicenter database of pediatric gliomas resected using iMRI demonstrated additional tumor resection in a substantial portion of cases. However, determining the impact of iMRI on EOR and outcomes remains challenging because iMRI use varies among providers nationally. Continued refinement of iMRI techniques for use in pediatric patients with glioma may improve outcomes.

Indexed as

Brain NeoplasmsChildCraniotomyFemaleFollow-Up StudiesGliomaHumansMagnetic Resonance ImagingMaleMonitoring, IntraoperativeNeoplasm GradingNeurosurgical ProceduresProspective StudiesRetrospective StudiesSurvival RateExtent of resectionGliomaiMRIIntraoperative MRIOutcomePediatricWHO gradeWorld Health of Organization

Identifiers

PMID30977059
OpenAlexW2936805704

What OpenQuestion holds

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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.