Dynamic Perviousness Has Predictive Value for Clot Fibrin Content in Acute Ischemic Stroke.

blood clot histology permeability stroke thrombectomy

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
29 Jun 2024
Historique:
received: 08 05 2024
revised: 19 06 2024
accepted: 20 06 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 13 7 2024
Statut: epublish

Résumé

Dynamic perviousness is a novel imaging biomarker, with clot density measurements at multiple timepoints to allow longer contrast to thrombus interaction. We investigated the correlations between dynamic perviousness and clot composition in the setting of acute ischemic stroke. Thirty-nine patients with large vessel occlusion (LVO) undergoing mechanical thrombectomy (MT) were analyzed. Patients received a three-phase CT imaging pre-thrombectomy and histopathological analysis of retrieved clots. Clot densities for every phase and change in densities between phases were calculated, leading to four patterns of dynamic perviousness: no contrast uptake, early contrast uptake with and without washout and late uptake. Clots were categorized into three groups based on dominant histologic composition: red blood cell (RBC)-rich, fibrin/platelet-rich and mixed. Clot composition was correlated with dynamic perviousness using the Kruskal-Wallis test and Pearson's correlation analysis. The dynamic perviousness categories showed a significant difference between fibrin-rich clots when compared to RBC-rich plus mixed groups. The uptake without washout category had significantly fewer fibrin clots compared to the uptake with washout (

Identifiants

pubmed: 39001277
pii: diagnostics14131387
doi: 10.3390/diagnostics14131387
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Vania Anagnostakou (V)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.
New England Center for Stroke Research, Department of Radiology, University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA.

Daniel Toth (D)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Gergely Bertalan (G)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Susanne Müller (S)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Regina R Reimann (RR)

Institute of Neuropathology, University Hospital Zürich, Schmelzbergstrasse 12, 8091 Zürich, Switzerland.

Mark Epshtein (M)

New England Center for Stroke Research, Department of Radiology, University of Massachusetts Chan Medical School, 55 N Lake Ave, Worcester, MA 01655, USA.

Jawid Madjidyar (J)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Patrick Thurner (P)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Tilman Schubert (T)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Susanne Wegener (S)

Department of Neurology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Zsolt Kulcsar (Z)

Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Frauenklinikstrasse 10, 8091 Zürich, Switzerland.

Classifications MeSH