Evidence map›Paper›PMID 26381565›Full record

ArticleAJNR. American journal of neuroradiology2016

Comparison of the Effect of Vessel Size Imaging and Cerebral Blood Volume Derived from Perfusion MR Imaging on Glioma Grading.

H-Y Kang, H-L Xiao, J-H Chen, Y Tan, X Chen, T Xie, J-Q Fang, S Wang, Y Yang, W-G Zhang

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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

10 authors.

H-Y KangFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
H-L XiaoFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.) Pathology (H.-L.X.).
J-H ChenFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
Y TanFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
X ChenFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
T XieFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
J-Q FangFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.).
S WangDepartments of Radiology (S.W.).
Y YangMedicine (Y.Y.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
W-G ZhangFrom Departments of Radiology (H.-Y.K., J.-H.C., H.-L.X., Y.T., X.C., T.X., J.-q.F., W.-G.Z.) State Key Laboratory of Trauma, Burns and Combined Injury (W.-G.Z.), Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, China wgzhang01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeVascular proliferation is a major criterion for grading gliomas on the basis of histology. Relative cerebral blood volume can provide pathophysiologic information about glioma grading. Vessel size imaging, in some animals, can be used to estimate the microvascular caliber of a glioma, but its clinical use remains unclear. Herein, we aimed to compare the predictive power of relative cerebral blood volume and vessel size imaging in glioma grading, with grading based on histology. MATERIALS AND

methodsSeventy patients with glioma participated in the study; 30 patients underwent MR perfusion imaging with a spin-echo sequence and vessel size imaging with a gradient-echo and spin-echo sequence successively at 24-hour intervals before surgery. We analyzed the vessel size imaging values and relative cerebral blood volume of differently graded gliomas. The microvessel parameters were histologically evaluated and compared with those on MR imaging. The cutoff values of vessel size imaging and relative cerebral blood volume obtained from receiver operating characteristic curve analyses were used to predict glioma grading in another 40 patients.

resultsVessel size imaging values and relative cerebral blood volume were both increased in high-grade gliomas compared with low-grade gliomas (P < .01). Moreover, vessel size imaging values had higher specificity and sensitivity in differentiating high-grade from low-grade gliomas compared with relative cerebral blood volume. In addition, a significant correlation was observed between vessel size imaging values and microvessel diameters (r > 0.8, P < .05) and between relative cerebral blood volume and microvessel area (r = 0.6579, P < .05). Most important, the use of vessel size imaging cutoff values to predict glioma grading was more accurate (100%) than use of relative cerebral blood volume (85%) values.

conclusionsVessel size imaging can provide more accurate information on glioma grading and may serve as an effective biomarker for the prognosis of patients with gliomas.

Indexed as

AgedBrainBrain NeoplasmsCerebrovascular CirculationFemaleGliomaHumansMagnetic Resonance ImagingMaleMicrovesselsNeoplasm GradingPerfusion ImagingROC CurveSensitivity and Specificity

Identifiers

PMID26381565
PMCPMC7960212

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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.