Objectives: The authors evaluate the learning of the videoarthroscopic technique, using the video surgery simulator SAM® (Shoulder Arthroscopy Model).
Methods: Twenty medical residents in Orthepaedics, without prior knowledge of the arthroscopic technique, were evaluated before and after training. The tasks consisted of positioning, in holes that simulated portals, four surgical threads attached to an anchor placed in the anatomical neck of the humerus in the synthetic model. Time, number of movements, number of attempts, amount of errors and comparison between the two phases of training before and after - were observed and noted.
Results: The data was submitted to statistical analysis, and a significant difference was found in the comparison of the variables before and after the training.
Conclusion: The result of this study enables us to conclude that training in the videoarthroscopic technique using the video surgery simulator SAM enables the surgeon to execute essential tasks involved in these techniques, in less time, making less mistakes, and developing the ability to deal better with the videoarthrocopic image.
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http://dx.doi.org/10.1016/S2255-4971(15)30350-5 | DOI Listing |
Rev Bras Ortop (Sao Paulo)
October 2020
Serviço de Ombro do Hospital Ortopédico BH, Belo Horizonte, MG, Brasil.
To analyze the functional outcomes in patients submitted to videoarthroscopic surgical treatment for compleat rotator cuff tears of the shoulder, with a minimum follow-up of 10 years. A total of 63 patients (63 shoulders) underwent videoarthroscopic surgical repair for compleat rotator cuff tears with a minimum follow-up of 10 years. The postoperative functional outcomes of these patients were evaluated using the Constant and University of California at Los Angeles (UCLA) scores.
View Article and Find Full Text PDFRev Bras Ortop
March 2016
Hospital Ortopédico de Passo Fundo, Passo Fundo, RS, Brazil.
Objective: To clinically and radiologically evaluate the results from videoarthroscopic treatment using metal anchors in patients with recurrent shoulder dislocation and its complications.
Methods: This was a retrospective study on 47 patients (47 shoulders) operated by the shoulder group of the orthopedic hospital between February 2010 and February 2012. A questionnaire, interview and physical and radiographic examinations were used, with the classification of Samilson and Pietro.
Rev Bras Ortop
August 2015
Hospital Ortopédico, Belo Horizonte, MG, Brazil ; Hospital Belo Horizonte, Belo Horizonte, MG, Brazil.
Objective: To compare the functional results from high and low-grade isolated partial lesions of the supraspinatus tendon of bursal and articular types, after arthroscopic treatment.
Methods: Sixty-four patients with isolated partial lesions of the supraspinatus tendon were evaluated. The mean length of follow-up was 76 months (range: 29-193).
Rev Bras Ortop
June 2013
Resident Physician (R4) in the Shoulder Surgery and Rehabilitation Service, HO, HBH and HLC, Belo Horizonte, MG, Brazil.
Objetive: To evaluate possible benefits obtained through the use of surgical videoarthrosco- py in the management of glenohumeral osteoarthritis.
Methods: We evaluated 37 patients (38 shoulders) who underwent through surgical videoar- throscopy in the period between November 1999 and May 2009 (minimum follow-up of two years). Twenty five patients attend for revaluation and thirteen were interviewed by telephonic contact.
Rev Bras Ortop
March 2016
Master's Degree in Sciences of Human Movement from UFRGS, Specialist Orthopedist in Shoulder and Elbow at the Hospital Moinhos de Vento - Porto Alegre, RS, Brazil.
Objectives: The authors evaluate the learning of the videoarthroscopic technique, using the video surgery simulator SAM® (Shoulder Arthroscopy Model).
Methods: Twenty medical residents in Orthepaedics, without prior knowledge of the arthroscopic technique, were evaluated before and after training. The tasks consisted of positioning, in holes that simulated portals, four surgical threads attached to an anchor placed in the anatomical neck of the humerus in the synthetic model.
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