Evidence map›Paper›PMID 38811621›Full record

ArticleScientific reports2024

Making acute ischemic stroke thrombi visible in MRI imaging.

Aglaé Velasco Gonzalez, Boris Buerke, Dennis Görlich, Cristina Sauerland, Manfred Fobker, Astrid Jeibmann, Walter Heindel, Andreas Faldum, Werner Paulus, Harald Kugel

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Aglaé Velasco GonzalezClinic for Radiology, University of Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany. velascoa@uni-muenster.de.ORCID 0000-0001-6865-6864
Boris BuerkeClinic for Radiology, University of Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
Dennis GörlichInstitute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany.
Cristina SauerlandInstitute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany.
Manfred FobkerCenter for Laboratory Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
Astrid JeibmannInstitute of Neuropathology, University Hospital Muenster, Pottkamp 2, 48149, Muenster, Germany.
Walter HeindelClinic for Radiology, Neuroradiology, University of Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.
Andreas FaldumInstitute of Biostatistics and Clinical Research, University of Muenster, Schmeddingstraße 56, 48149, Muenster, Germany.
Werner PaulusInstitute of Neuropathology, University of Muenster, Domagkstraße 19, 48149, Muenster, Germany.
Harald KugelClinic for Radiology, Medical Physics, University of Muenster, Albert-Schweitzer-Campus 1, Gebäude A1, 48149, Muenster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of thrombus behavior and visualization on MRI in acute ischemic stroke is less than optimal. However, MRI sequences could be enhanced based on the typical T1 and T2 relaxation times of the target tissues, which mainly determine their signal intensities on imaging. We studied the relaxation times of a broad spectrum of clot analogs along with their image characteristics of three sequences analyzed: a T1-weighted turbo inversion-recovery sequence (T1w Turbo IR), a T1-weighted turbo spin echo with fat suppression (T1w TSE SPIR), and a T2-weighted 3D TSE with magnetization refocusing to remove T1 dependence (T2w TSE DRIVE). We compared their imaging behavior with the intensity values of normal brain tissue using the same imaging protocols as for clots. Each histological and biochemical clot component contributed to each of the relaxation times. Overall, histological composition correlated strongly with T1 times, and iron content, specifically, with T2 relaxation time. Using decision trees, fibrin content was selected as the primary biomarker for T1 relaxation times, inducing an increase. Up to four clot subgroups could be defined based on its distinctive T1 relaxation time. Clot signal intensity in the T1 and T2-weighted images varied significantly according to T1 and T2 relaxation times. Moreover, in comparison with normal brain tissue intensity values, T2w DRIVE images depict thrombi according to the principle of the more fibrin, the higher the intensity, and in T1w TSE, the more erythrocytes, the higher the intensity. These findings could facilitate improvements in MRI sequences for clot visualization and indicate that T2w DRIVE and T1w TSE sequences should depict the vast majority of acute ischemic stroke thrombi as more hyperintense than surrounding tissues.

Indexed as

Ischemic StrokeMagnetic Resonance ImagingThrombosisBrainFibrinHumansImage Processing, Computer-AssistedFibrin

Identifiers

PMID38811621
PMCPMC11137124

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