Evidence map›Paper›PMID 36974533›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2023

The Role of Pre-Operative MRI for Prediction of High-Grade Intracranial Meningioma: A Retrospective Study.

Kan Radeesri, Vitit Lekhavat

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Brain MRI Radiomic First-Order Features for Presurgical Prediction of Meningioma Grading.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Article
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

2 authors at 1 institution in 1 country.

Kan RadeesriDepartment of Radiology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd, Dusit District, Bangkok, Thailand.
Vitit LekhavatDepartment of Radiology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, 681 Samsen Rd, Dusit District, Bangkok, Thailand.
Navamindradhiraj University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHigh histological grade (WHO grade 2 and 3) intracranial meningiomas have been linked to a greater risk for tumor recurrence and worse clinical outcomes compared to low-grade (WHO grade 1) tumors. Preoperative magnetic resonance imaging (MRI) plays a crucial role in tumor evaluation and allows a better understanding of tumor grading, which could potentially alter clinical outcomes. The present study sought to determine whether preoperative MRI features of intracranial meningiomas can serve as predictors of high-grade tumors.

methodsThis retrospective study reviewed 327 consecutive confirmed cases of intracranial meningiomas, among whom 210 (64.2%) had available preoperative MRI studies. Thereafter, imaging features such as intratumoral signal heterogeneity, venous sinus invasion, necrosis or hemorrhage, mass effect, cystic component, bone invasion, hyperostosis, spiculation, heterogeneous tumor enhancement, capsular enhancement, restricted diffusion, brain edema, and unclear tumor-brain interface were obtained and data were analyzed using univariate and multivariate analyses.

results249 (76.1%) patients had low-grade (grade I), and 78 (23.9%) had high-grade (grades 2 and 3) intracranial meningioma. The majority of cases were females (274 cases, 83.3%) and most patients were below 60 years of age (mean age, 52.50 ± 11.51 years). The multivariate analysis with Multiple Logistic regression analysis using factors determined to be significant during univariate analysis via a backward stepwise selection method with statistical significance set at 0.05 identified three MRI features including necrosis or hemorrhage (adjusted OR = 2.94, 95% CI: 1.15-7.48, p = 0.024), hyperostosis (adjusted OR = 0.31, 95% CI: 0.12-0.79, p = 0.014), and brain edema (adjusted OR = 2.33, 95% CI: 1.13-4.81, p = 0.022) as significant independent predictors of high-grade meningioma after adjusting for confounders.

conclusionsOur study suggested that certain preoperative MRI features of intracranial meningiomas including necrosis or hemorrhage and brain edema could potentially predict high-grade tumors while hyperostosis is a predictor for low-grade tumors.

Indexed as

Brain EdemaMeningeal NeoplasmsMeningiomaAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNecrosisRetrospective Studieshigh-grademeningiomapredictive factorpreoperative MRIWHO histological grading

Identifiers

PMID36974533
PMCPMC10334091
OpenAlexW4361215250

What OpenQuestion holds

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LicenceCC BY-NC
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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.