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Hanning U, Bechstein M, Kaesmacher J, Boulouis G, Chapot R, Andersson T, Boccardi E, Psychogios M, Cognard C, de Dios Lascuevas M, Rodrigues M, Rodriguez Caamaño I, Gargalas S, Simonato D, Zupancic V, Daller C, Meyer L, Broocks G, Guerreiro H, Fiehler J, Martínez-Galdamez M, Kalousek V. Remote Training of Neurointerventions by Audiovisual Streaming : Experiences from the European ESMINT-EYMINT E-Fellowship Program. Clin Neuroradiol 2023; 33:137-145. [PMID: 35829740 PMCID: PMC9277595 DOI: 10.1007/s00062-022-01192-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Remote access of trainees to training centers via video streaming (tele-observership, e‑fellowship) emerges as an alternative to acquire knowledge in endovascular interventions. Situational awareness is a summary term that is also used in surgical procedures for perceiving and understanding the situation and projecting what will happen next. A high situational awareness would serve as prerequisite for meaningful learning success during tele-observerships. We hypothesized that live perception of the angiographical procedures using streaming technology is feasible and sufficient to gain useful situational awareness of the procedure. METHODS During a European tele-observership organized by the European Society of Minimally Invasive Neurological Therapy (ESMINT) and its trainee association (EYMINT), a total of six neurointerventional fellows in five countries observed live cases performed by experienced neurointerventionalists (mentors) in six different high-volume neurovascular centers across Europe equipped with live-streaming technology (Tegus Medical, Hamburg, Germany). Cases were prospectively evaluated during a 12-month period, followed by a final questionnaire after completion of the course. RESULTS A total of 102/161 (63%) cases with a 1:1 allocation of fellow and mentor were evaluated during a 12-month period. Most frequent conditions were ischemic stroke (27.5%), followed by embolization of unruptured aneurysms (25.5%) and arteriovenous malformations (AVMs) (15.7%). A high level of situational awareness was reported by fellows in 75.5% of all cases. After finishing the program, the general improvement of neurointerventional knowledge was evaluated to be extensive (1/6 fellows), substantial (3/6), and moderate (2/6). The specific fields of improvement were procedural knowledge (6/6 fellows), technical knowledge (3/6) and complication management (2/6). CONCLUSION Online streaming technology facilitates location-independent training of complex neurointerventional procedures through high levels of situational awareness and can therefore supplement live hands-on-training. In addition, it leads to a training effect for fellows with a perceived improvement of their neurointerventional knowledge.
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Affiliation(s)
- Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany.
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Johannes Kaesmacher
- Department of Neurology, Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Grégoire Boulouis
- Diagnostic and Interventional Neuroradiology Department, Institut national de la santé et de la recherche médicale (INSERM) Team 1253 iBrain, Tours University Hospital, Tours, Centre Val de Loire Region, France
| | - René Chapot
- Department of Neuroradiology, Alfried Krupp Krankenhaus, Essen, Germany
| | - Tommy Andersson
- Department of Neuroradiology, Karolinska University Hospital and Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Department of Medical Imaging, AZ Groeninge, Kortrijk, Belgium
| | - Edoardo Boccardi
- Department of Diagnostic and Interventional Neuroradiology, Niguarda Hospital, Milan, Italy
| | - Marios Psychogios
- Division of Neuroradiology, Clinic of Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland
| | - Christophe Cognard
- Neuroradiology Department, Pierre-Paul-Riquet/Purpan University Hospital, Toulouse, France
| | | | - Marta Rodrigues
- Neuroradiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal
| | | | - Sergios Gargalas
- Diagnostic and Interventional Neuroradiology Department, John Radcliffe Hospital, Oxford, UK
| | - Davide Simonato
- Interventional Neuroradiology Department, University Hospital of Padua, Padua, Italy
| | - Vedran Zupancic
- Department of Radiology, Clinical Hospital Center Sestre Milosrdnice, Zagreb, Croatia
| | - Cornelia Daller
- Department of Neurosurgery, Paracelsus Medical University Salzburg, Salzburg, Austria
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Helena Guerreiro
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Germany
| | - Mario Martínez-Galdamez
- Interventional Neuroradiology/Endovascular Neurosurgery, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Vladimir Kalousek
- Department of Radiology, Clinical Hospital Center Sestre Milosrdnice, Zagreb, Croatia
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Paech D, Lehnen N, Lakghomi A, Schievelkamp A, Gronemann C, Bode FJ, Radbruch A, Dorn F. School of Thrombectomy-A 3-Step Approach to Perform Acute Stroke Treatment with Simulator Training and Virtual Supervision by Remote Streaming Support (RESS). Clin Neuroradiol 2022; 33:529-535. [PMID: 36520188 PMCID: PMC9753868 DOI: 10.1007/s00062-022-01242-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/26/2022] [Indexed: 12/23/2022]
Abstract
As the number of neurointerventional procedures continues to increase, so does the need for well-trained neurointerventionalists. The purpose of this work was to establish and assess a systematic 3‑step approach to perform acute stroke treatment including simulator training and virtual supervision by remote streaming support (RESS). Five trainees (four men, one women) who have completed the 3‑step approach have answered an 11-item questionnaire (5-point Likert scale) in order to evaluate training step 1 (simulator). Furthermore, all trainees and one supervisor (female) answered a standardized questionnaire following the initial 15 consecutive thrombectomies for each trainee, corresponding to a total of 75 thrombectomies. The simulator training yielded learning benefits and confidence gain to perform MT on patients. The RESS approach facilitated the translation during the first independently performed thrombectomies on patients. In summary, the presented 3‑step approach increases the level of safety, as reported by the trainees and supervisor in this study and may enable an accelerated training of neurointerventionalists.
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Affiliation(s)
- Daniel Paech
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Nils Lehnen
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Asadeh Lakghomi
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Arndt Schievelkamp
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Christian Gronemann
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Felix J. Bode
- grid.15090.3d0000 0000 8786 803XClinic for Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Alexander Radbruch
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Franziska Dorn
- grid.15090.3d0000 0000 8786 803XClinic for Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
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