Multi-site study of surgical practice in neurosurgery based on surgical process models

Autor: Florent Lalys, Thomas Neumuth, Laurent Riffaud, Pierre Jannin, Benoit Goulet, D. Louis Collins, Germain Forestier, Jürgen Meixensberger, Shafik N. Wassef
Přispěvatelé: Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Innovation Center Computer Assisted Surgery (ICCAS), Universität Leipzig [Leipzig], Department of Neurosurgery [Leipzig], University Hospital Leipzig, Department of Radiology, Carver College of Medicine, University of Iowa, Department of Neurological Surgery, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Leipzig, Lalys, Florent
Jazyk: angličtina
Rok vydání: 2013
Předmět:
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Dynamic time warping
medicine.medical_specialty
Process modeling
Surgical skills
Process (engineering)
Health Informatics
Machine learning
computer.software_genre
Models
Biological
Neurosurgical Procedures
Clustering
030218 nuclear medicine & medical imaging
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
03 medical and health sciences
0302 clinical medicine
medicine
Cluster Analysis
Humans
Multidimensional scaling
[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Duration (project management)
Set (psychology)
Cluster analysis
Surgical Process Models
[SDV.IB] Life Sciences [q-bio]/Bioengineering
MESH: Humans
business.industry
MESH: Models
Biological
MESH: Neurosurgical Procedures
MESH: Cluster Analysis
Computer Science Applications
Surgery
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Metric (unit)
Artificial intelligence
business
computer
030217 neurology & neurosurgery
Zdroj: Journal of Biomedical Informatics
Journal of Biomedical Informatics, Elsevier, 2013, 46 (5), pp.822-9. ⟨10.1016/j.jbi.2013.06.006⟩
Journal of Biomedical Informatics, 2013, 46 (5), pp.822-9. ⟨10.1016/j.jbi.2013.06.006⟩
ISSN: 1532-0464
1532-0480
DOI: 10.1016/j.jbi.2013.06.006⟩
Popis: Display Omitted Surgical procedures performed at three different institutions are analyzed and compared.The comparison is based on the sequences of activities performed by the surgeons during surgery.This approach distinguished the surgical behaviors according to surgeon experience and location. Surgical Process Modelling (SPM) was introduced to improve understanding the different parameters that influence the performance of a Surgical Process (SP). Data acquired from SPM methodology is enormous and complex. Several analysis methods based on comparison or classification of Surgical Process Models (SPMs) have previously been proposed. Such methods compare a set of SPMs to highlight specific parameters explaining differences between populations of patients, surgeons or systems. In this study, procedures performed at three different international University hospitals were compared using SPM methodology based on a similarity metric focusing on the sequence of activities occurring during surgery. The proposed approach is based on Dynamic Time Warping (DTW) algorithm combined with a clustering algorithm. SPMs of 41 Anterior Cervical Discectomy (ACD) surgeries were acquired at three Neurosurgical departments; in France, Germany, and Canada. The proposed approach distinguished the different surgical behaviors according to the location where surgery was performed as well as between the categorized surgical experience of individual surgeons. We also propose the use of Multidimensional Scaling to induce a new space of representation of the sequences of activities. The approach was compared to a time-based approach (e.g. duration of surgeries) and has been shown to be more precise. We also discuss the integration of other criteria in order to better understand what influences the way the surgeries are performed. This first multi-site study represents an important step towards the creation of robust analysis tools for processing SPMs. It opens new perspectives for the assessment of surgical approaches, tools or systems as well as objective assessment and comparison of surgeon's expertise.
Databáze: OpenAIRE
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