Evidence map›Paper›PMID 29098571›Full record

ArticleJournal of neuro-oncology2018

Preoperative relative cerebral blood volume analysis in gliomas predicts survival and mitigates risk of biopsy sampling error.

Brendan J McCullough, Valerie Ader, Brian Aguedan, Xu Feng, Daniel Susanto, Tara L Benkers, John W Henson, Marc Mayberg, Charles S Cobbs, Ryder P Gwinn and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  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

16 authors.

Brendan J McCulloughSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA. Brendan.McCullough@Swedish.org.
Valerie AderRadia, Inc., 19020 33rd Avenue West, Suite 210, Lynwood, WA, 98036, USA.
Brian AguedanRadia, Inc., 19020 33rd Avenue West, Suite 210, Lynwood, WA, 98036, USA.
Xu FengRadia, Inc., 19020 33rd Avenue West, Suite 210, Lynwood, WA, 98036, USA.
Daniel SusantoSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Tara L BenkersSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
John W HensonPiedmont Brain Tumor Center, 2001 Peachtree Road, Suite 645, Atlanta, GA, 30309, USA.
Marc MaybergSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Charles S CobbsSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Ryder P GwinnSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Stephen J MonteithSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
David W NewellSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Johnny DelashawSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Sarah J FoukeBrain and Spine Center, St. Luke's Hospital, 232 South Woods Mill Road, St. Louis, MO, 63117, USA.
Steven RostadSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.
Bart P KeoghSwedish Neuroscience Institute, 550 17th Avenue, Seattle, WA, 98122, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate management of adult gliomas requires an accurate histopathological diagnosis. However, the heterogeneity of gliomas can lead to misdiagnosis and undergrading, especially with biopsy. We evaluated the role of preoperative relative cerebral blood volume (rCBV) analysis in conjunction with histopathological analysis as a predictor of overall survival and risk of undergrading. We retrospectively identified 146 patients with newly diagnosed gliomas (WHO grade II-IV) that had undergone preoperative MRI with rCBV analysis. We compared overall survival by histopathologically determined WHO tumor grade and by rCBV using Kaplan-Meier survival curves and the Cox proportional hazards model. We also compared preoperative imaging findings and initial histopathological diagnosis in 13 patients who underwent biopsy followed by subsequent resection. Survival curves by WHO grade and rCBV tier similarly separated patients into low, intermediate, and high-risk groups with shorter survival corresponding to higher grade or rCBV tier. The hazard ratio for WHO grade III versus II was 3.91 (p = 0.018) and for grade IV versus II was 11.26 (p < 0.0001) and the hazard ratio for each increase in 1.0 rCBV units was 1.12 (p < 0.002). Additionally, 3 of 13 (23%) patients initially diagnosed by biopsy were upgraded on subsequent resection. Preoperative rCBV was elevated at least one standard deviation above the mean in the 3 upgraded patients, suggestive of undergrading, but not in the ten concordant diagnoses. In conclusion, rCBV can predict overall survival similarly to pathologically determined WHO grade in patients with gliomas. Discordant rCBV analysis and histopathology may help identify patients at higher risk for undergrading.

Indexed as

Cerebral Blood VolumeAdultAgedBiopsyBlood Volume DeterminationBrain NeoplasmsFemaleGliomaHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingPreoperative PeriodRisk FactorsCerebral blood volumeGliomaOutcomesRadiological–pathological correlationrCBVSurvival

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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.