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1.
Clin Orthop Surg ; 14(3): 434-440, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-36061854

RESUMO

Background: Lateral collateral ligament injuries may occur in patients with chronic lateral epicondylitis. The present study aimed to compare the clinical outcomes of arthroscopic debridement between patients with chronic lateral epicondylitis combined with a partial ligament injury and those without a ligament injury. Methods: Between 2016 and 2018, patients who underwent arthroscopic debridement for lateral epicondylitis were evaluated. Partial injury to the lateral collateral ligament was defined as discontinuity or thinning with increased signal of the lateral ligament on magnetic resonance imaging and laxity with a firm endpoint in the varus or posterolateral rotatory stress test. Arthroscopic debridement was performed when there was no apparent instability in the stress test under fluoroscopic guidance after anesthesia. Patients with a ligament injury were compared with those without a ligament injury in terms of physical examination (varus stress test and posterolateral rotatory drawer test), pain visual analog scale, Mayo elbow performance score, and quick disabilities of the arm, shoulder and hand score. Results: There were 38 patients in the intact ligament group and 15 patients in the partial ligament injury group. There were 23 men and 30 women, and the mean patient age was 50 years (range, 27-77 years). The mean follow-up period was 30 months (range, 24-49 months). Instability was not observed in both groups at the last follow-up, and clinical scores improved significantly after surgery. Postoperative results did not show significant difference between the two groups. One patient in the partial injury group underwent revision open debridement owing to persistent pain. Conclusions: The clinical outcomes of arthroscopic debridement for lateral epicondylitis did not show significant differences between patients with a partial ligament injury and those without a ligament injury.


Assuntos
Instabilidade Articular , Ligamentos Laterais do Tornozelo , Cotovelo de Tenista , Adulto , Idoso , Desbridamento , Feminino , Humanos , Instabilidade Articular/cirurgia , Masculino , Pessoa de Meia-Idade , Dor , Cotovelo de Tenista/diagnóstico , Cotovelo de Tenista/cirurgia
2.
PLoS One ; 17(2): e0264140, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35202410

RESUMO

PURPOSE: Early detection and classification of bone tumors in the proximal femur is crucial for their successful treatment. This study aimed to develop an artificial intelligence (AI) model to classify bone tumors in the proximal femur on plain radiographs. METHODS: Standard anteroposterior hip radiographs were obtained from a single tertiary referral center. A total of 538 femoral images were set for the AI model training, including 94 with malignant, 120 with benign, and 324 without tumors. The image data were pre-processed to be optimized for training of the deep learning model. The state-of-the-art convolutional neural network (CNN) algorithms were applied to pre-processed images to perform three-label classification (benign, malignant, or no tumor) on each femur. The performance of the CNN model was verified using fivefold cross-validation and was compared against that of four human doctors. RESULTS: The area under the receiver operating characteristic (AUROC) of the best performing CNN model for the three-label classification was 0.953 (95% confidence interval, 0.926-0.980). The diagnostic accuracy of the model (0.853) was significantly higher than that of the four doctors (0.794) (P = 0.001) and also that of each doctor individually (0.811, 0.796, 0.757, and 0.814, respectively) (P<0.05). The mean sensitivity, specificity, precision, and F1 score of the CNN models were 0.822, 0.912, 0.829, and 0.822, respectively, whereas the mean values of four doctors were 0.751, 0.889, 0.762, and 0.797, respectively. CONCLUSIONS: The AI-based model demonstrated high performance in classifying the presence of bone tumors in the proximal femur on plain radiographs. Our findings suggest that AI-based technology can potentially reduce the misdiagnosis of doctors who are not specialists in musculoskeletal oncology.


Assuntos
Inteligência Artificial , Neoplasias Ósseas/classificação , Fêmur , Radiografia/métodos , Algoritmos , Neoplasias Ósseas/diagnóstico por imagem , Humanos , Processamento de Imagem Assistida por Computador , Redes Neurais de Computação , Variações Dependentes do Observador , Curva ROC , Reprodutibilidade dos Testes
3.
Int Orthop ; 46(4): 789-795, 2022 04.
Artigo em Inglês | MEDLINE | ID: mdl-35064307

RESUMO

BACKGROUND: Recurrent dislocation is a difficult complication after total hip arthroplasty (THA). This study aimed to report the clinical and radiographic outcomes of revision THA using the modular dual mobility (MDM) acetabular system to treat recurrent dislocation. METHODS: Between March 2015 and February 2019, 34 revision THAs were performed using the MDM system for treating recurrent dislocation in a single institution. Of these, 32 revision THAs (32 patients) that satisfied a minimum follow-up of one year (mean, 4 years) were included in this study. Patient-reported outcomes, complication rates, and radiographic results were evaluated. RESULTS: Seventeen patients (53.1%) had lumbar degenerative kyphosis, and six (18.8%) had surgically fused lumbar spines during the index operation. All acetabular components were revised, whereas femoral stems were retained in 29 patients (90.6%). No redislocation or intraprosthetic dislocation was noted after revision. One additional revision was required for acetabular loosening with periprosthetic joint infection. No additional revision was performed for aseptic loosening. A partial radiolucent line was found in two hips (6.3%) confined to one acetabular zone. CONCLUSIONS: Revision THA using the MDM system was effective in treating recurrent dislocation in a group of patients with a high prevalence of lumbar spinal pathology. During a mean follow-up of 4 years, one additional revision THA was performed for septic loosening and none for aseptic loosening.


Assuntos
Artroplastia de Quadril , Luxação do Quadril , Prótese de Quadril , Luxações Articulares , Acetábulo/cirurgia , Artroplastia de Quadril/efeitos adversos , Artroplastia de Quadril/métodos , Seguimentos , Luxação do Quadril/etiologia , Luxação do Quadril/cirurgia , Prótese de Quadril/efeitos adversos , Humanos , Luxações Articulares/cirurgia , Desenho de Prótese , Falha de Prótese , Reoperação/efeitos adversos , Estudos Retrospectivos
4.
Clin Shoulder Elb ; 24(1): 42-52, 2021 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-33652512

RESUMO

Reverse shoulder arthroplasty is an ideal treatment for glenohumeral dysfunction due to cuff tear arthropathy. As the number of patients treated with reverse shoulder arthroplasty is increasing, the incidence of complications after this procedure also is increasing. The rate of complications in reverse shoulder arthroplasty was reported to be 15%-24%. Recently, the following complications have been reported in order of frequency: periprosthetic infection, dislocation, periprosthetic fracture, neurologic injury, scapular notching, acromion or scapular spine fracture, and aseptic loosening of prosthesis. However, the overall complication rate has varied across studies because of different prosthesis used, improvement of implant and surgical skills, and different definitions of complications. Some authors included complications that affect the clinical outcomes of the surgery, while others reported minor complications that do not affect the clinical outcomes such as minor reversible neurologic deficit or minimal scapular notching. This review article summarizes the processes related to diagnosis and treatment of complications after reverse shoulder arthroplasty with the aim of helping clinicians reduce complications and perform appropriate procedures if/when complications occur.

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