Evidence map›Paper›PMID 33985944›Full record

ArticleAJNR. American journal of neuroradiology2021

Relationship between Shear Stiffness Measured by MR Elastography and Perfusion Metrics Measured by Perfusion CT of Meningiomas.

T Takamura, U Motosugi, M Ogiwara, Y Sasaki, K J Glaser, R L Ehman, H Kinouchi, H Onishi

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Applications of elastography in operative neurosurgery: A systematic review.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Stiffness analysis of meningiomas using neural network-based inversion on MR Elastography.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  6. Article
  7. Preoperative Magnetic Resonance Elastography (MRE) of Skull Base Tumours: A Review.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  8. 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

8 authors at 5 institutions in 3 countries.

T TakamuraFrom the Department of Radiology (T.T.), Shizuoka General Hospital, Shizuoka, Japan t-takamura@i.shizuoka-pho.jp.ORCID 0000-0001-9322-2873
U MotosugiDepartment of Radiology (U.M.), Kofu-Kyoritsu Hospital, Yamanashi, Japan.ORCID 0000-0002-6743-9793
M OgiwaraDepartments of Neurosurgery (M.O., H.K.).ORCID 0000-0002-3590-9228
Y SasakiRadiology (Y.S., H.O.), University of Yamanashi, Yamanashi, Japan.ORCID 0000-0002-5130-9601
K J GlaserDepartment of Radiology (K.J.G., R.L.E.), Mayo Clinic College of Medicine, Rochester, Minnesota.ORCID 0000-0002-7464-5042
R L EhmanDepartment of Radiology (K.J.G., R.L.E.), Mayo Clinic College of Medicine, Rochester, Minnesota.ORCID 0000-0001-7041-5074
H KinouchiDepartments of Neurosurgery (M.O., H.K.).ORCID 0000-0003-0841-5502
H OnishiRadiology (Y.S., H.O.), University of Yamanashi, Yamanashi, Japan.ORCID 0000-0002-3512-1166
HCL Technologies (India) · INMayo Clinic · USUniversity of Yamanashi Hospital · JPHiroshima Kyoritsu Hospital · JPJuntendo University · JP

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

background and purposeWhen managing meningiomas, intraoperative tumor consistency and histologic subtype are indispensable factors influencing operative strategy. The purposes of this study were the following: 1) to investigate the correlation between stiffness assessed with MR elastography and perfusion metrics from perfusion CT, 2) to evaluate whether MR elastography and perfusion CT could predict intraoperative tumor consistency, and 3) to explore the predictive value of stiffness and perfusion metrics in distinguishing among histologic subtypes of meningioma. MATERIALS AND

methodsMean tumor stiffness and relative perfusion metrics (blood flow, blood volume, and MTT) were calculated (relative to normal brain tissue) for 14 patients with meningiomas who underwent MR elastography and perfusion CT before surgery (cohort 1). Intraoperative tumor consistency was graded by a neurosurgeon in 18 patients (cohort 2, comprising the 14 patients from cohort 1 plus 4 additional patients). The correlation between tumor stiffness and perfusion metrics was evaluated in cohort 1, as was the ability of perfusion metrics to predict intraoperative tumor consistency and discriminate histologic subtypes. Cohort 2 was analyzed for the ability of stiffness to determine intraoperative tumor consistency and histologic subtypes.

resultsThe relative MTT was inversely correlated with stiffness (

conclusionsIn meningioma, tumor stiffness may be useful to predict intraoperative tumor consistency, while relative MTT may potentially correlate with tumor stiffness and differentiate transitional meningioma from meningothelial meningioma.

Indexed as

BrainElasticity Imaging TechniquesMagnetic Resonance ImagingMeningeal NeoplasmsMeningiomaAgedFemaleHumansMaleMiddle AgedPerfusionRetrospective StudiesShear StrengthTomography, X-Ray ComputedVascular Stiffness

Identifiers

PMID33985944
PMCPMC8324263
OpenAlexW3160761078

What OpenQuestion holds

Textmetadata
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.