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Simulation in shoulder arthroplasty education using three-dimensional planning software: the role of guidelines and predicted range of motion.
Gauci, Marc-Olivier; Chammas, Pierre-Emmanuel; Johnston, Tyler Robert; Chelli, Mikael; Chaoui, Jean; de Casson, François Boux; Blasco, Laurent; Boileau, Pascal.
Afiliación
  • Gauci MO; Institut Universitaire Locomoteur & Sport (IULS), Unité de Recherche Clinique Côte d'Azur (UR2CA), Hôpital Pasteur 2 CHU de Nice, Université Côte D'Azur, 30 voie Romaine, 06000, Nice, France. marcoliviergauci@gmail.com.
  • Chammas PE; Unité de Chirurgie du Membre Supérieur, de la Main et des Nerfs PériphériquesDépartement de Chirurgie Orthopédique, CHU de Lapeyronie, Montpellier, France.
  • Johnston TR; Division of Sports Medicine, Department of Orthopaedic Surgery, University of California at Irvine, Irvine, CA, USA.
  • Chelli M; Institut Universitaire Locomoteur & Sport (IULS), Unité de Recherche Clinique Côte d'Azur (UR2CA), Hôpital Pasteur 2 CHU de Nice, Université Côte D'Azur, 30 voie Romaine, 06000, Nice, France.
  • Chaoui J; Société IMASCAP, Plouzané, France.
  • de Casson FB; Société IMASCAP, Plouzané, France.
  • Blasco L; Institut Universitaire Locomoteur & Sport (IULS), Unité de Recherche Clinique Côte d'Azur (UR2CA), Hôpital Pasteur 2 CHU de Nice, Université Côte D'Azur, 30 voie Romaine, 06000, Nice, France.
  • Boileau P; Institut Universitaire Locomoteur & Sport (IULS), Unité de Recherche Clinique Côte d'Azur (UR2CA), Hôpital Pasteur 2 CHU de Nice, Université Côte D'Azur, 30 voie Romaine, 06000, Nice, France.
Int Orthop ; 45(10): 2653-2661, 2021 10.
Article en En | MEDLINE | ID: mdl-34383105
ABSTRACT

AIM:

To demonstrate how reverse shoulder arthroplasty (RSA) planning software could be used to improve how the trainees position glenoid and humeral implants and obtain optimal simulated range of motion (ROM).

METHODS:

We selected four groups of five various level

participants:

medical student (MS), junior resident (JR), senior resident (SR), and shoulder expert (SE). Thereafter, the 20 participants planned five cases of arthritic shoulders for a RSA on a validated planning software following three phases (1) no guidelines and no ROM feedback, (2) guidelines but no ROM feedback, and (3) guidelines and ROM feedback. We evaluated the final simulated impingement-free ROM, the choice of the implant (baseplate size, graft, glenosphere), and the glenoid implant positioning.

RESULTS:

MS planning were significantly improved by the ROM feedback only. JR took the best advantage of both guidelines and ROM in final results. SR planning were less performant than SE into phase 1 regarding flexion, external rotation, and adduction (respectively - 10°, p = 0.03; - 11°, p = 0.003; and - 3°, p = 0,03), but reached similar results into phase 3 (respectively - 2°, p = 0.329; - 4°, p = 0.44; - 2°, p = 0.319). For MS, JR, and SR, we observed a systematic improvement in the agreement over the study course. The glenoid diameter remained highly variable even for SE. Comparing glenoid implant position to SE, the distance error decreased with advancing phases.

CONCLUSION:

Planning software can be used as a simulation training tool to improve implant positioning in shoulder arthroplasty procedures.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Articulación del Hombro / Cavidad Glenoidea / Artroplastía de Reemplazo de Hombro Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int Orthop Año: 2021 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Articulación del Hombro / Cavidad Glenoidea / Artroplastía de Reemplazo de Hombro Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int Orthop Año: 2021 Tipo del documento: Article País de afiliación: Francia