Evidence map›Paper›PMID 28536753›Full record

ArticleClinical neuroradiology2018

Differentiation of Clot Composition Using Conventional and Dual-Energy Computed Tomography.

Jan Borggrefe, Jonathan Kottlors, Mahmood Mirza, Victor-Frederic Neuhaus, Nuran Abdullayev, Volker Maus, Christoph Kabbasch, David Maintz, Anastasios Mpotsaris

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Article in Clinical neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Jan BorggrefeInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany. Jan.Borggrefe@uk-koeln.de.ORCID http://orcid.org/0000-0003-2908-7560
Jonathan KottlorsInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
Mahmood MirzaClinical Science, Neuravi Ltd, llybrit Business Park, H91 K5YD, Galway, Ireland.
Victor-Frederic NeuhausInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
Nuran AbdullayevInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
Volker MausInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
Christoph KabbaschInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
David MaintzInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
Anastasios MpotsarisInstitut für Diagnostische und Interventionelle Radiologie, Uniklinik Köln, Kerpener Str. 62, 60937, Cologne, Germany.
University Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn unenhanced computed tomography (CT) of acute ischemic stroke, the density of occluding clots is associated with the content of red blood cells and successful recanalization with stent thrombectomy. However, no CT marker for fibrin content is established. In order to improve clot diagnostics, we conducted an in vitro study to investigate thrombus composition of histologically defined ovine blood clots with unenhanced and contrast-enhanced CT using spectral detector CT (SDCT).

methodsOvine blood clot types containing defined amounts of red blood cells (RBC; pure fibrin clots: RBC 0% ± 0, fibrin 100% ± 0), mixed clots (RBC 35.1% ± 4.11, fibrin 79.2% ± 5.6) and red clots (RBC 99.05% ± 1.14, fibrin 0.95% ± 1.14) were scanned in a SDCT (IQon®, Philips, Amsterdam, The Netherlands) (a) in a tube containing saline, (b) 5 min and (c) 3 days after exposure to a 1:50 dilution of iohexol (Accupaque-350®, GE-Healthcare, Boston, MA, USA). The attenuation of the clots was measured in Hounsfield units (HU) in conventional CT datasets as well as virtual noncontrast reconstructions (VNC) of nonenhanced and contrast-enhanced SDCT in a blinded and randomized fashion. Statistical analysis was conducted with ANOVA, Spearman's correlation, linear and multivariable regression models.

resultsIn unenhanced scans, clots differed in density with linear interrelation (fibrin 23.6 ± 1.1, mixed 34.9 ± 1.6, red 46.7 ± 1.6, mean HU ± SD). The blood clots did not show any overlap of density in the native scans and VNC at different time points (p < 0.0001 for each setting and clot type). However, they could not be differentiated after initial contrast exposure (fibrin 108.5 ± 7.8, mixed 105.3 ± 3.5, red 104.8 ± 3.8, mean HU ± SD). After prolonged exposure, the fibrin rich clots showed a significant increase of density due to further uptake of contrast medium (fibrin 163.6 ± 3.6, mixed 138.3 ± 4.1, red 109.6 ± 5.4, mean HU ± SD). In multivariable models, native CT density and contrast enhancement were independent variables associated with thrombus type (p < 0.01 each).

conclusionThe fibrin content in blood clots is strongly associated with contrast uptake. As previously shown, the density of the clot formations in native CT scans is dependent on the RBC. Our data show that CT density and relative enhancement of clots are independent determinants of clot composition. Using both variables in the CT workup of acute ischemic stroke has the potential to have a decisive impact on patient stratification for treatment.

Indexed as

Erythrocyte CountAcute DiseaseAnimalsCattleCorrelation of DataFibrinHumansImage EnhancementImage Interpretation, Computer-AssistedIntracranial ThrombosisIn Vitro TechniquesTomography, X-Ray ComputedFibrinComputed tomographyEmbolismImagingIschemic strokeThrombosis

Identifiers

PMID28536753
OpenAlexW2618632216

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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.