Literature DB >> 32248269

Radiology workload in clinical implementation of thrombectomy for acute ischemic stroke: experience from The Netherlands.

Bram A C M Fasen1, Roeland J J Heijboer1, Frans-Jan H Hulsmans1, Robert M Kwee2.   

Abstract

PURPOSE: To investigate the number of acute stroke patients undergoing CT angiography (CTA) for suspected large vessel occlusion (LVO) and those eligible for thrombectomy in relation to the population.
METHODS: Consecutive patients in a Western population who underwent CTA for suspected LVO of the proximal anterior circulation between January and August 2019 were included. The date and time of CTA and the number of patients eligible for thrombectomy were assessed. Our hospital's service area population was estimated using the Central Bureau for Statistics data. One-way analysis of variance with post-hoc tests and chi-squared tests were used for statistical analyses.
RESULTS: Of 520 patients (49% males, mean age of 72 years) undergoing CTA, 84 (16.2%) were eligible for thrombectomy. Our hospital's service area population was estimated at 420,000. Therefore, 3.6 CTA scans were performed and 0.6 patients were eligible for thrombectomy per 100,000 people per week. The number of patients undergoing CTA and the number of patients eligible for thrombectomy both did not significantly differ between any days of the week (P > 0.05). A total of 236 (45%) and 284 patients (55%) underwent CTA during office and on-call hours, respectively. The percentage of patients eligible for thrombectomy did not significantly differ between office and on-call hours (P = 0.834).
CONCLUSION: Our study estimated the number of stroke patients undergoing CTA for suspected LVO and those eligible for thrombectomy in relation to the population. Numbers were essentially the same throughout the week, and during office and on-call hours. Our data can be used to make adequate staffing plans.

Entities:  

Keywords:  Computed tomography angiography; Stroke; Thrombectomy; Workload

Mesh:

Year:  2020        PMID: 32248269     DOI: 10.1007/s00234-020-02416-w

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  2 in total

1.  Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients.

Authors:  Ryan A Rava; Blake A Peterson; Samantha E Seymour; Kenneth V Snyder; Maxim Mokin; Muhammad Waqas; Yiemeng Hoi; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Neuroradiol J       Date:  2021-03-03

2.  Diagnostic performance of an algorithm for automated large vessel occlusion detection on CT angiography.

Authors:  Sven P R Luijten; Lennard Wolff; Martijne H C Duvekot; Pieter-Jan van Doormaal; Walid Moudrous; Henk Kerkhoff; Geert J Lycklama A Nijeholt; Reinoud P H Bokkers; Lonneke S F Yo; Jeannette Hofmeijer; Wim H van Zwam; Adriaan C G M van Es; Diederik W J Dippel; Bob Roozenbeek; Aad van der Lugt
Journal:  J Neurointerv Surg       Date:  2021-08-19       Impact factor: 8.572

  2 in total

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