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Related Experiment Video

Updated: Jan 25, 2026

Evaluating Therapeutic Interventions in the SHIP-deficient Mouse Model of Crohn Disease-like Ileitis and Fibrosis
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[Mothership or drip and ship?]

J Fiehler1

  • 1Klinik und Poliklinik für Neuroradiologische Diagnostik und Intervention, Universitätsklinikum Hamburg-Eppendorf, Haus Ost 22 (O 22), Martinistr. 52, 20246, Hamburg, Deutschland. fiehler@uke.de.

Der Radiologe
|May 10, 2019
PubMed
Summary
This summary is machine-generated.

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Comprehensive Venous Outflow Predicts Functional Outcomes in Patients with Acute Ischemic Stroke Treated by Thrombectomy.

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Neuroradiology·2022

Endovascular stroke treatment for large vessel occlusion (LVO) is effective. However, current data does not support a universally superior organizational model for thrombectomy, with optimal strategies depending on patient location and timing.

Area of Science:

  • Neurology
  • Interventional Cardiology
  • Public Health

Background:

  • Endovascular stroke treatment is the gold standard for large vessel occlusion (LVO).
  • Optimizing patient transport and interventionalist availability are crucial for effective treatment.

Purpose of the Study:

  • To review and analyze organizational models for endovascular thrombectomy.
  • To determine preferred models based on specific circumstances.

Main Methods:

  • Literature review of patient transport models (drip and ship, mothership).
  • Analysis of interventionalist availability models (drip and drive, remote mentoring).
  • Consideration of thrombectomy rates, LVO prevalence, and model construction.

Main Results:

Keywords:
Endovascular therapyIntravenous thrombolysisStentingStrokeThrombectomy

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  • Direct transport to a comprehensive stroke center (CSC) via mothership is recommended if it's as close or closer than a primary stroke center (PSC).
  • If a PSC is closer and within the lysis window, transport decisions involve multiple variables.

Conclusions:

  • No single organizational model is currently superior for all thrombectomy cases.
  • Optimal model selection requires careful consideration of patient logistics and clinical factors.