Evidence map›Paper›PMID 35321513›Full record

ArticleFrontiers in neurology2022

MicroCT Can Characterize Clots Retrieved With Mechanical Thrombectomy From Acute Ischemic Stroke Patients-A Preliminary Report.

Daniela Dumitriu LaGrange, Vincent Braunersreuther, Isabel Wanke, Jatta Berberat, Siri Luthman, Seán Fitzgerald, Karen M Doyle, Olivier Brina, Philippe Reymond, Alexandra Platon and 5 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
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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

15 authors.

Daniela Dumitriu LaGrangeDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Vincent BraunersreutherDivision of Clinical Pathology, Diagnostic Department, HUG Geneva University Hospitals, Geneva, Switzerland.
Isabel WankeDivision of Neuroradiology, Klinik Hirslanden, Zurich, Switzerland.
Jatta BerberatDepartment of Psychiatry, University of Geneva, Geneva, Switzerland.
Siri LuthmanDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Seán FitzgeraldDepartment of Physiology, National University of Ireland, Galway, Ireland.
Karen M DoyleDepartment of Physiology, National University of Ireland, Galway, Ireland.
Olivier BrinaDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Philippe ReymondDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Alexandra PlatonDivision of Radiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Michel MusterDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Paolo MachiDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Pierre-Alexandre PolettiDivision of Radiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Maria Isabel VargasDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.
Karl-Olof LövbladDivision of Diagnostic and Interventional Neuroradiology, HUG Geneva University Hospitals, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Characterization of the clot occluding the arteries in acute ischemic stroke received ample attention, in terms of elucidating the relationship between the clot composition, its etiology and its amenability for pharmacological treatment and mechanical thrombectomy approaches. Traditional analytical techniques such as conventional 2D histopathology or electron microscopy sample only small parts of the clot. Visualization and analysis in 3D are necessary to depict and comprehend the overall organization of the clot. The aim of this study is to investigate the potential of microCT for characterizing the clot composition, structure, and organization. Methods: In a pilot study, we analyzed with microCT clots retrieved from 14 patients with acute ischemic stroke. The following parameters were analyzed: overall clot density, clot segmentation with various density thresholds, clot volume. Results: Our findings show that human clots are heterogeneous in terms of CT intra-clot density distribution. After fixation in formalin, the clots display a shift toward negative values. On average, we found the mean HU values of red clots retrieved from patients to be -153 HU, with SD = 23.8 HU, for the intermediate clots retrieved from patients -193 HU, SD = 23.7 HU, and for the white clots retrieved from patients -229 HU, SD = 64.8 HU. Conclusion: Our study shows that volumetric and density analysis of the clot opens new perspectives for clot characterization and for a better understanding of thrombus structure and composition.

Indexed as

acute ischemic strokeclotCT densityfibrinred blood cells

Identifiers

PMID35321513
PMCPMC8934771

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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.