Evidence map›Paper›PMID 35177767›Full record

ArticleScientific reports2022

Non contrast enhanced volumetric histology of blood clots through high resolution propagation-based X-ray microtomography.

Somayeh Saghamanesh, Daniela Dumitriu LaGrange, Philippe Reymond, Isabel Wanke, Karl-Olof Lövblad, Antonia Neels, Robert Zboray

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Toward improved thrombolysis in ischemic stroke: targeting nonfibrin components.Research and practice in thrombosis and haemostasis · 2026
    Review
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Somayeh SaghamaneshCenter for X-Ray Analytics, Swiss Federal Laboratories for Materials Science and Technology (Empa), 8600, Dübendorf, Switzerland. somayeh.saghamanesh@empa.ch.
Daniela Dumitriu LaGrangeNeuroradiology Division, Diagnostic Department, University of Geneva, Geneva, Switzerland.
Philippe ReymondNeuroradiology Division, Diagnostic Department, University of Geneva, Geneva, Switzerland.
Isabel WankeNeuroradiology Division, Klinik Hirslanden, Zurich, Switzerland.
Karl-Olof LövbladNeuroradiology Division, Diagnostic Department, University of Geneva, Geneva, Switzerland.
Antonia NeelsCenter for X-Ray Analytics, Swiss Federal Laboratories for Materials Science and Technology (Empa), 8600, Dübendorf, Switzerland.
Robert ZborayCenter for X-Ray Analytics, Swiss Federal Laboratories for Materials Science and Technology (Empa), 8600, Dübendorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have demonstrated the capability of laboratory propagation-based microtomography (miroCT) in non-destructive 3D virtual histopathology of human blood clots without any contrast agent. The volumetric information are valuable to understand the mechanical properties of clots which are crucial in selecting the most efficient mechanical thrombectomy method for clot extraction. Different clot types retrieved by mechanical thrombectomy from patient victims of acute ischemic stroke were evaluated through propagation-based microCT. The results were correlated with high-resolution scanning electron microscopy (SEM) images, confirming detected cellular and fibrillary structures. Calcifications appeared as glassy opacity areas with relatively intense signal on microCT images, also proved by energy-dispersive spectroscopy and X-ray diffraction. Hyperintense regions on the microCT corresponded to individual or compact aggregates of red blood cells, whereas fibrin dominated volumes appeared at consistently moderate to low normalized microCT values. Red blood cell shapes and sizes are consistent with the SEM observations. Together with other potential parameters, 3D porosity distribution and volume fraction of structures can be easily measured by microCT data. Further development of automated post-processing techniques for X-ray propagation-based micro/nanoCT, also based on machine learning algorithms, can enable high throughput analysis of blood clot composition and their 3D histological features on large sample cohorts.

Indexed as

X-Ray MicrotomographyHumansIschemic StrokeMicroscopy, Electron, ScanningThrombectomyThrombosis

Identifiers

PMID35177767
PMCPMC8854637

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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.