Evidence map›Paper›PMID 38575701›Full record

ArticleEuropean radiology experimental2024

Multimaterial decomposition in dual-energy CT for characterization of clots from acute ischemic stroke patients.

Melina Gassenhuber, Maximilian E Lochschmidt, Johannes Hammel, Tobias Boeckh-Behrens, Benno Ikenberg, Silke Wunderlich, Friederike Liesche-Starnecker, Jürgen Schlegel, Franz Pfeiffer, Marcus R Makowski and 3 more

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 4 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

13 authors at 3 institutions in 1 country.

Melina Gassenhuber *Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Maximilian E Lochschmidt *Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Johannes HammelDepartment of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Tobias Boeckh-BehrensDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Benno IkenbergDepartment of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Silke WunderlichDepartment of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Friederike Liesche-StarneckerPathology, Medical Faculty, University of Augsburg, 86150, Augsburg, Germany.
Jürgen SchlegelDepartment of Neuropathology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Franz PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Isabelle Riederer *Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany.
Daniela Pfeiffer *Department of Diagnostic and Interventional Radiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, 81675, Germany. daniela.pfeiffer@tum.de.ORCID http://orcid.org/0000-0003-2002-8337
TUM Klinikum · DETechnical University of Munich · DEUniversity of Augsburg · DE

Funding

Deutsche Forschungsgemeinschaft GRK2274
6 · The paper itself

Abstract

backgroundNowadays, there is no method to quantitatively characterize the material composition of acute ischemic stroke thrombi prior to intervention, but dual-energy CT (DE-CT) offers imaging-based multimaterial decomposition. We retrospectively investigated the material composition of thrombi ex vivo using DE-CT with histological analysis as a reference.

methodsClots of 70 patients with acute ischemic stroke were extracted by mechanical thrombectomy and scanned ex vivo in formalin-filled tubes with DE-CT. Multimaterial decomposition in the three components, i.e., red blood cells (RBC), white blood cells (WBC), and fibrin/platelets (F/P), was performed and compared to histology (hematoxylin/eosin staining) as reference. Attenuation and effective Z values were assessed, and histological composition was compared to stroke etiology according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria.

resultsHistological and imaging analysis showed the following correlation coefficients for RBC (r = 0.527, p < 0.001), WBC (r = 0.305, p = 0.020), and F/P (r = 0.525, p < 0.001). RBC-rich thrombi presented higher clot attenuation in Hounsfield units than F/P-rich thrombi (51 HU versus 42 HU, p < 0.01). In histological analysis, cardioembolic clots showed less RBC (40% versus 56%, p = 0.053) and more F/P (53% versus 36%, p = 0.024), similar to cryptogenic clots containing less RBC (34% versus 56%, p = 0.006) and more F/P (58% versus 36%, p = 0.003) than non-cardioembolic strokes. No difference was assessed for the mean WBC portions in all TOAST groups.

conclusionsDE-CT has the potential to quantitatively characterize the material composition of ischemic stroke thrombi. RELEVANCE STATEMENT: Using DE-CT, the composition of ischemic stroke thrombi can be determined. Knowledge of histological composition prior to intervention offers the opportunity to define personalized treatment strategies for each patient to accomplish faster recanalization and better clinical outcomes. KEY POINTS: • Acute ischemic stroke clots present different recanalization success according to histological composition. • Currently, no method can determine clot composition prior to intervention. • DE-CT allows quantitative material decomposition of thrombi ex vivo in red blood cells, white blood cells, and fibrin/platelets. • Histological clot composition differs between stroke etiology. • Insights into the histological composition in situ offer personalized treatment strategies.

Indexed as

Ischemic StrokeStrokeThrombosisFibrinHumansRetrospective StudiesTomography, X-Ray ComputedFibrinBlood coagulationIschemic strokeThrombectomyThrombosisTomography (x-ray computed)

Identifiers

PMID38575701
PMCPMC10994882
OpenAlexW4394753737

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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.