Automatic muscle elongation measurement during shoulder arthroplasty planning
Pitocchi, J. ; Plessers, K. ; Wesseling, M. ; Van Lenthe, G.H. ; Perez, M.A. (Universidad de Zaragoza)
Resumen: Adequate deltoid and rotator cuff lengthening in total shoulder arthroplasty (TSA) is crucial to maximize the postoperative functional outcome and to avoid complications (La¨dermann et al., 2014). Hence surgeons and patients could benefit from including muscle length information in preoperative planning software.
Although different methods have been introduced to automatically indicate patient-specific muscle attachment and wrapping points (Kaptein & van der Helm, 2004; Marra et al., 2015), the definition of a fast and accurate workflow is still a challenge, due to the large variability in bone shapes.
Statistical shape modelling (SSM) has recently been used to automatically indicate landmark on target bones (Plessers et al., 2018). This method is less dependent on shape variability and could overcome the aforementioned limitation in accuracy. Therefore, the goal of this study is to develop and evaluate the accuracy of a novel automatic method for measuring deltoid and rotator cuff elongation during preoperative planning of shoulder arthroplasty, based on a statistical shape modelling approach.
Idioma: Inglés
DOI: 10.29007/hwz8
Año: 2020
Publicado en: EPiC series in health sciences 4 (2020), 237-239
ISSN: 2398-5305
Financiación: info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone
Tipo y forma: Article (Published version)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
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Although different methods have been introduced to automatically indicate patient-specific muscle attachment and wrapping points (Kaptein & van der Helm, 2004; Marra et al., 2015), the definition of a fast and accurate workflow is still a challenge, due to the large variability in bone shapes.
Statistical shape modelling (SSM) has recently been used to automatically indicate landmark on target bones (Plessers et al., 2018). This method is less dependent on shape variability and could overcome the aforementioned limitation in accuracy. Therefore, the goal of this study is to develop and evaluate the accuracy of a novel automatic method for measuring deltoid and rotator cuff elongation during preoperative planning of shoulder arthroplasty, based on a statistical shape modelling approach.
Idioma: Inglés
DOI: 10.29007/hwz8
Año: 2020
Publicado en: EPiC series in health sciences 4 (2020), 237-239
ISSN: 2398-5305
Financiación: info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone
Tipo y forma: Article (Published version)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2023-06-21-15:03:05)
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Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Mec. de Medios Contínuos y Teor. de Estructuras
Record created 2020-12-22, last modified 2023-06-22