Can Shoulder Impairments Be Classified From 3-Dimensional Kinematics Using Inertial Sensors?

Inertial sensors may help clinicians to assess patients' movement and potentially support clinical decision making. Our aim was to determine whether shoulder range of motion during movement tasks measured using inertial sensors is capable of accurately discriminating between patients with different shoulder problems. Inertial sensors were used to measure 3-dimensional shoulder motion during 6 tasks of 37 patients on the waiting list for shoulder surgery. Discriminant function analysis was used to identify whether the range of motion of different tasks could classify patients with different shoulder problems. The discriminant function analysis could correctly classify 91.9% of patients into one of the 3 diagnostic groups based. The tasks that associated a patient with a particular diagnostic group were the following: subacromial decompression: abduction, rotator cuff repair of tears ≤5 cm: flexion and rotator cuff repair of tears >5 cm: combing hair, abduction, and horizontal abduction-adduction. The discriminant function analysis showed that range of motion measured by inertial sensors can correctly classify patients and could be used as a screening tool to support surgery planning.

A Comparison Between Preoperative and Intraoperative Measurement and Classification of the Size of Rotator Cuff Tears.

Purpose To evaluate the agreement in tear size obtained through preoperative imaging and intraoperative measurement, and to determine the accuracy of preoperative imaging in the classification of tear size and identification of tears in each rotator cuff tendon. Methods Data from 44 patients recruited to a randomized controlled trial were reviewed retrospectively. Size and location of the rotator cuff tears were confirmed by either ultrasound or magnetic resonance imaging scans preoperatively and evaluated during surgery. A t -test and Bland and Altman plot were used to determine the agreement between the preoperative and intraoperative measurements. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for tear size and involvement of the rotator cuff tendon. Results There was good agreement in terms of the measurements (91%) and classification (89%) of the tear size preoperatively and during surgery. When classifying tear size, the sensitivity and PPV were high for medium-sized tears (100%) and lower for large tears (75%), reflecting that all medium-sized tears but not all large tears were identified preoperatively. For the preoperative identification of the tears, the sensitivity and PPV were highest for the supraspinatus (84%), with progressively lower sensitivities and PPV for the infraspinatus (57%), subscapularis (17%) and teres minor (0%). Conclusions Through preoperative imaging, the measurement or classification of the tear size can be accurately performed. Where there is disagreement, it is unclear whether the tear size is either underestimated on the scan or overestimated during surgery. The high sensitivity demonstrates that a supraspinatus tear is usually detected by scan. The lower sensitivities for the infraspinatus and subscapularis indicate that the identification of tears in these tendons is less accurate.

A Comparison Between Preoperative and Intraoperative Measurement and Classification of the Size of Rotator Cuff Tears / Uma comparação entre a medição e a classificação da ruptura do manguito rotador no pré-operatório e no intraoperatório

Abstract Purpose To evaluate the agreement in tear size obtained through preoperative imaging and intraoperative measurement, and to determine the accuracy of preoper-ative imaging in the classification of tear size and identification of tears in each rotator cuff tendon. Methods Data from 44 patients recruited to a randomized controlled trial were reviewed retrospectively. Size and location of the rotator cuff tears were confirmed by either ultrasound or magnetic resonance imaging scans preoperatively and evaluated during surgery. A t-test and Bland and Altman plot were used to determine the agreement between the preoperative and intraoperative measurements. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for tear size and involvement of the rotator cuff tendon. Results There was good agreement in terms of the measurements (91%) and classification (89%) of the tear size preoperatively and during surgery. When classifying tear size, the sensitivity and PPV were high for medium-sized tears (100%) and lower for large tears (75%), reflecting that all medium-sized tears but not all large tears were identified preoperatively. For the preoperative identification of the tears, the sensitivity and PPV were highest for the supraspinatus (84%), with progressively lower sensitivities and PPV for the infraspinatus (57%), subscapularis (17%) and teres minor (0%). Conclusions Through preoperative imaging, the measurement or classification of the tear size can be accurately performed. Where there is disagreement, it is unclear whether the tear size is either underestimated on the scan or overestimated during surgery. The high sensitivity demonstrates that a supraspinatus tear is usually detected by scan. The lower sensitivities for the infraspinatus and subscapularis indicate that the identification of tears in these tendons is less accurate.

Resumo Objetivo Avaliar a concordância no tamanho de ruptura obtido por imagem préoperatória e por medição intraoperatória, e determinar a precisão da imagem préoperatória na classificação do tamanho da ruptura e na identificação de rupturas em cada tendão do manguito rotador. Métodos Os dados de 44 pacientes recrutados para um ensaio controlado randomizado foram revisados retrospectivamente. O tamanho e a localização do manguito rotador foram confirmados por ultrassom ou ressonância magnética préoperatórios, e avaliados durante a cirurgia. Um teste t e o gráfico de Bland e Altman foram usados para determinar a concordância entre as medições pré-operatória e intraoperatória. Sensibilidade, especificidade, valor preditivo positivo (VPP) e valor preditivo negativo (VPN) foram calculados para o tamanho do rompimento e o envolvimento do tendão do manguito rotador. Resultados Houve boa concordância para medidas de tamanho da ruptura (91%) e classificação (89%) pré-operatória e durante a cirurgia. Ao classificar o tamanho da ruptura, a sensibilidade e o VPP foram elevados para rupturas de tamanho médio (100%), e menor para rupturas grandes (75%), o que indica que todas as rupturas de tamanho médio, mas nem todas as grandes, foram identificadas pré-operatoriamente. Para a identificação de rupturas, a sensibilidade pré-operatória e o VPP foram maiores para o supraespinal (84%), com sensibilidade e VPP progressivamente menores para o infraespinal (57%), o subescapular (17%), e o redondo menor (0%). Conclusões Por meio da imagem pré-operatória, pode-se medir ou classificar com precisão o tamanho da ruptura. Quando há discordância, não está claro se o tamanho da ruptura é subestimado no exame ou superestimado durante a cirurgia. A alta sensibilidade demonstra que uma ruptura do supraespinal é geralmente detectada por escaneamento. As sensibilidades mais baixas para o infraespinal e o subescapular indicam que a identificação de rupturas nestes tendões é menos precisa.