Digital TKA Alignment Training with a New Digital Simulation Tool (Knee-CAT) Improves Process Quality, Efficiency, and Confidence.

alignment computer assistance robotics simulator teaching tool total knee arthroplasty

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
26 Jan 2023
Historique:
received: 06 01 2023
revised: 22 01 2023
accepted: 24 01 2023
entrez: 25 2 2023
pubmed: 26 2 2023
medline: 26 2 2023
Statut: epublish

Résumé

Individual alignment techniques have been introduced to restore patients' unique anatomical variations during total knee arthroplasty. The transition from conventional mechanical alignment to individualised approaches, with the assistance of computer and/or robotic technologies, is challenging. The objective of this study was to develop a digital training platform with real patient data to educate and simulate various modern alignment philosophies. The aim was to evaluate the training effect of the tool by measuring the process quality and efficiency, as well as the post-training surgeon's confidence with new alignment philosophies. Based on 1000 data sets, a web-based interactive TKA computer navigation simulator (Knee-CAT) was developed. Quantitative decisions on bone cuts were linked to the extension and flexion gap values. Eleven different alignment workflows were introduced. A fully automatic evaluation system for each workflow, with a comparison function for all workflows, was implemented to increase the learning effect. The results of 40 surgeons with different experience levels using the platform were assessed. Initial data were analysed regarding process quality and efficiency and compared after two training courses. Process quality measured by the percentage of correct decisions was increased by the two training courses from 45% to 87.5%. The main reasons for failure were wrong decisions on the joint line, tibia slope, femoral rotation, and gap balancing. Efficiency was obtained with a reduction in time spent per exercise from 4 min 28 s to 2 min 35 s (42%) after the training courses. All volunteers rated the training tool as helpful or extremely helpful for learning new alignment philosophies. Separating the learning experience from OR performance was mentioned as one of the main advantages. A novel digital simulation tool for the case-based learning of various alignment philosophies in TKA surgery was developed and introduced. The simulation tool, together with the training courses, improved surgeon confidence and their ability to learn new alignment techniques in a stress-free out-of-theatre environment and to become more time efficient in making correct alignment decisions.

Identifiants

pubmed: 36836448
pii: jpm13020213
doi: 10.3390/jpm13020213
pmc: PMC9960184
pii:
doi:

Types de publication

Journal Article

Langues

eng

Déclaration de conflit d'intérêts

H.G. is the medical head and founder of Knee-CAT. All other authors declare having no conflicts of interest related to the study subject or reported research results.

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Auteurs

Heiko Graichen (H)

Department of Arthroplasty, General Orthopaedics and Sports Medicine, Asklepios Orthopaedic Hospital Lindenlohe, 92421 Schwandorf, Germany.

Marco Strauch (M)

Department of Arthroplasty, General Orthopaedics and Sports Medicine, Asklepios Orthopaedic Hospital Lindenlohe, 92421 Schwandorf, Germany.

Michael T Hirschmann (MT)

Department of Orthopedic Surgery and Traumatology, Kantonsspital Baselland, University Hospital of Basel, 4101 Bruderholz, Switzerland.

Roland Becker (R)

Department of Orthopaedic and Traumatology, Centre of Joint Arthroplasty West-Brandenburg, University of Brandenburg, 14770 Brandenburg, Germany.

Sébastien Lustig (S)

Department of Orthopaedic Surgery and Sports Medicine, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Lyon University Hospital, 69004 Lyon, France.
Faculté de Médecine Lyon Est, University Lyon, Claude Bernard Lyon 1 University, 69622 Lyon, France.

Mark Clatworthy (M)

Department of Orthopaedics, Ascot Hospital, Remuera, Auckland 3050, New Zealand.

Jacobus Daniel Jordaan (JD)

Division of Orthopaedic Surgery, Department of Surgical Sciences, Faculty of Medicine and Health Sciences Stellenbosch University, Tygerberg 7505, South Africa.

Kaushik Hazratwala (K)

Queensland Lower Limb Clinic, Mater Medical Center, Pimlico, QLD 4812, Australia.

Rüdiger von Eisenhart-Rothe (R)

Department of Orthopedics and Sports Orthopedics, Klinikum Rechts der Isar, Technical University Munich, 81675 München, Germany.

Karlmeinrad Giesinger (K)

Department of Orthopaedics and Traumatology, Kantonsspital St. Gallen, 9000 St. Gallen, Switzerland.

Tilman Calliess (T)

Articon Spezialpraxis für Gelenkchirurgie, Salem-Spital, 3013 Bern, Switzerland.

Classifications MeSH