Evidence map›Paper›PMID 20857117›Full record

ArticleEuropean radiology2011

Cerebral blood volume imaging by flat detector computed tomography in comparison to conventional multislice perfusion CT.

Tobias Struffert, Yu Deuerling-Zheng, Stephan Kloska, Tobias Engelhorn, Jan Boese, Michael Zellerhoff, Stefan Schwab, Arnd Doerfler

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Article in European radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

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  13. Angiography suite cone-beam CT perfusion for selection of thrombectomy patients: A pilot study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
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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

8 authors.

Tobias StruffertDepartment of Neuroradiology, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054 Erlangen, Germany. tobias.struffert@uk-erlangen.de
Yu Deuerling-Zheng
Stephan Kloska
Tobias Engelhorn
Jan Boese
Michael Zellerhoff
Stefan Schwab
Arnd Doerfler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe tested the hypothesis that Flat Detector computed tomography (FD-CT) with intravenous contrast medium would allow the calculation of whole brain cerebral blood volume (CBV) mapping (FD-CBV) and would correlate with multislice Perfusion CT (PCT).

methodsTwenty five patients were investigated with FD-CBV and PCT. Correlation of the CBV maps of both techniques was carried out with measurements from six anatomical regions from both sides of the brain. Mean values of each region and the correlation coefficient were calculated. Bland-Altman analysis was performed to compare the two different imaging techniques.

resultsThe image and data quality of both PCT and FD-CBV were suitable for evaluation in all patients. The mean CBV values of FD-CBV and PCT showed only minimal differences with overlapping standard deviation. The correlation coefficient was 0.79 (p < 0.01). Bland-Altman analysis showed a mean difference of -0.077 ± 0.48 ml/100 g between FD-CBV and PCT CBV measurements, indicating that FD-CBV values were only slightly lower than those of PCT.

conclusionCBV mapping with intravenous contrast medium using Flat Detector CT compared favourably with multislice PCT. The ability to assess cerebral perfusion within the angiographic suite may improve the management of ischaemic stroke and evaluation of the efficacy of dedicated therapies.

Indexed as

Cerebrovascular CirculationAdultAgedAngiographyAutomationBrainContrast MediaFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPerfusionStrokeTomography, X-Ray ComputedContrast Media

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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.