000097318 001__ 97318
000097318 005__ 20230519145346.0
000097318 0247_ $$2doi$$a10.1016/j.jse.2020.07.007
000097318 0248_ $$2sideral$$a121302
000097318 037__ $$aART-2021-121302
000097318 041__ $$aeng
000097318 100__ $$aPitocchi, Jonathan
000097318 245__ $$aAutomated muscle elongation measurement during reverse shoulder arthroplasty planning
000097318 260__ $$c2021
000097318 5060_ $$aAccess copy available to the general public$$fUnrestricted
000097318 5203_ $$aBackground: Adequate deltoid and rotator cuff elongation in reverse shoulder arthroplasty is crucial to maximize postoperative func- tional outcomes and to avoid complications. Measurements of deltoid and rotator cuff elongation during preoperative planning can sup- port surgeons in selecting a suitable implant design and position. Therefore, this study presented and evaluated a fully automated method for measuring deltoid and rotator cuff elongation.
Methods: Complete scapular and humeral models were extracted from computed tomography scans of 40 subjects. First, a statistical shape model of the complete humerus was created and evaluated to identify the muscle attachment points. Next, a muscle wrapping algorithm was developed to identify the muscle paths and to compute muscle lengths and elongations after reverse shoulder arthroplasty implantation. The accuracy of the muscle attachment points and the muscle elongation measurements was evaluated for the 40 subjects by use of both complete and artificially created partial humeral models. Additionally, the muscle elongation measurements were evaluated for a set of 50 arthritic shoul- der joints. Finally, a sensitivity analysis was performed to evaluate the impact of implant positioning on deltoid and rotator cuff elongation. Results: Forthecompletehumeralmodels,allmuscleattachmentpointswereidentifiedwithamedianerror<3.5mm.Forthepartialhumeral models, the errors on the deltoid attachment point largely increased. Furthermore, all muscle elongation measurements showed an error < 1 mm for 75% of the subjects for both the complete and partial humeral models. For the arthritic shoulder joints, the errors on the muscle elongation mea- surements were <2 mm for 75% of the subjects. Finally, the sensitivity analysis showed that muscle elongations were affected by implant positioning. Discussion: This study presents an automated method for accurately measuring muscle elongations during preoperative planning of shoulder arthroplasty. The results show that the accuracy in measuring muscle elongations is higher than the accuracy in indicating the muscle attachment points. Hence, muscle elongation measurements are insensitive to the observed errors on the muscle attachment points. Related to this finding, muscle elongations can be accurately measured for both a complete humeral model and a partial humeral model. Because the presented method also showed accurate results for arthritic shoulder joints, it can be used during preoperative shoulder arthroplasty planning, in which typically only the proximal humerus is present in the scan and in which bone arthropathy can be present. As the muscle elongations are sensitive to implant positioning, surgeons can use the muscle elongation measurements to refine their surgical plan.
000097318 536__ $$9info:eu-repo/grantAgreement/EC/H2020/722535/EU/Predictive models and simulations in bone regeneration: a multiscale patient-specific approach/CuraBone$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 722535-CuraBone
000097318 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000097318 590__ $$a3.507$$b2021
000097318 591__ $$aORTHOPEDICS$$b24 / 86 = 0.279$$c2021$$dQ2$$eT1
000097318 591__ $$aSURGERY$$b56 / 214 = 0.262$$c2021$$dQ2$$eT1
000097318 591__ $$aSPORT SCIENCES$$b32 / 88 = 0.364$$c2021$$dQ2$$eT2
000097318 594__ $$a5.7$$b2021
000097318 592__ $$a1.511$$b2021
000097318 593__ $$aMedicine (miscellaneous)$$c2021$$dQ1
000097318 593__ $$aSurgery$$c2021$$dQ1
000097318 593__ $$aOrthopedics and Sports Medicine$$c2021$$dQ1
000097318 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000097318 700__ $$aPlessers, Katrien
000097318 700__ $$aWirix-Speetjens, Roel
000097318 700__ $$aDebeer, Philippe
000097318 700__ $$avan Lenthe, G. Harry
000097318 700__ $$aJonkers, Ilse
000097318 700__ $$0(orcid)0000-0002-2901-4188$$aPérez Ansón, María de los Ángeles$$uUniversidad de Zaragoza
000097318 700__ $$aVander Sloten, Jos
000097318 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000097318 773__ $$g30, 3 (2021), P561-571$$pJ. Shoulder Elbow Surg.$$tJournal of shoulder and elbow surgery$$x1058-2746
000097318 8564_ $$s1623586$$uhttps://zaguan.unizar.es/record/97318/files/texto_completo.pdf$$yVersión publicada
000097318 8564_ $$s47739$$uhttps://zaguan.unizar.es/record/97318/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000097318 909CO $$ooai:zaguan.unizar.es:97318$$particulos$$pdriver
000097318 951__ $$a2023-05-18-13:21:26
000097318 980__ $$aARTICLE