Dynamic Perviousness: A Novel Imaging Marker for Predicting Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke.

acute ischemic stroke computed tomography dynamic perviousness of thrombi mechanical thrombectomy

Journal

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

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 08 05 2024
revised: 27 05 2024
accepted: 28 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

The predictive value of thrombus standard perviousness (SP) in acute ischemic stroke (AIS) for the technical success rates of mechanical thrombectomy (MT) or functional outcomes is not yet conclusive. We investigated the relationship between dynamic perviousness (DP) and revascularization results using time-dependent enhancement curve types determined with computed tomography (CT). A retrospective analysis of 137 AIS patients was performed. DP was calculated as the thrombus attenuation increase (TAI) using three time points and categorized into four groups: (1) no enhancement (CNE); (2) late enhancement (CLE); (3) early enhancement with washout (CW); (4) early enhancement without washout (CNW). Associations with the technical success rate and functional outcomes were assessed. Late enhancement (CLE) had approximately two times higher odds for successful MT as compared to clots with other enhancement dynamics. The odds ratios (logistic regression model with CNW as the reference) for the TICI III scores were 4.04 ( Thrombi with late enhancement patterns showed a higher revascularization rate and better outcomes as compared to clots with early uptake or no washout.

Sections du résumé

BACKGROUND BACKGROUND
The predictive value of thrombus standard perviousness (SP) in acute ischemic stroke (AIS) for the technical success rates of mechanical thrombectomy (MT) or functional outcomes is not yet conclusive. We investigated the relationship between dynamic perviousness (DP) and revascularization results using time-dependent enhancement curve types determined with computed tomography (CT).
METHODS METHODS
A retrospective analysis of 137 AIS patients was performed. DP was calculated as the thrombus attenuation increase (TAI) using three time points and categorized into four groups: (1) no enhancement (CNE); (2) late enhancement (CLE); (3) early enhancement with washout (CW); (4) early enhancement without washout (CNW). Associations with the technical success rate and functional outcomes were assessed.
RESULTS RESULTS
Late enhancement (CLE) had approximately two times higher odds for successful MT as compared to clots with other enhancement dynamics. The odds ratios (logistic regression model with CNW as the reference) for the TICI III scores were 4.04 (
CONCLUSIONS CONCLUSIONS
Thrombi with late enhancement patterns showed a higher revascularization rate and better outcomes as compared to clots with early uptake or no washout.

Identifiants

pubmed: 38893723
pii: diagnostics14111197
doi: 10.3390/diagnostics14111197
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Iten-Kohaut-Foundation in Switzerland
ID : 0

Auteurs

Daniel F Toth (DF)

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

Gergely Bertalan (G)

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

Priska Heinz (P)

Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zürich, 8001 Zürich, Switzerland.

Jawid Madjidyar (J)

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

Patrick Thurner (P)

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

Tilman Schubert (T)

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

Zsolt Kulcsar (Z)

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

Classifications MeSH