RESUMEN
Anterior cruciate ligament (ACL) instability poses a considerable challenge in traumatology and orthopedic medicine, demanding precise diagnostics for optimal treatment. The pivot-shift test, a pivotal assessment tool, relies on subjective interpretation, emphasizing the need for supplementary imaging. This study addresses this limitation by introducing a machine learning classification algorithm integrated into a mobile application, leveraging smartphones' built-in inertial sensors for dynamic rotational stability assessment during knee examinations. Orthopedic specialists conducted knee evaluations on a cohort of 52 subjects, yielding valuable insights. Quantitative analyses, employing the Intraclass Correlation Coefficient (ICC), demonstrated robust agreement in both intraobserver and interobserver assessments. Specifically, ICC values of 0.94 reflected strong concordance in the timing between maneuvers, while signal amplitude exhibited consistency, with the ICC ranging from 0.71 to 0.66. The introduced machine learning algorithms proved effective, accurately classifying 90% of cases exhibiting joint hypermobility. These quantifiable results underscore the algorithm's reliability in assessing knee stability. This study emphasizes the practicality and effectiveness of implementing machine learning algorithms within a mobile application, showcasing its potential as a valuable tool for categorizing signals captured by smartphone inertial sensors during the pivot-shift test.
RESUMEN
The Double Bundle U-DOS Reverse Technique for posterior cruciate ligament (PCL) tears is a novel arthroscopic technique that combines two well-known procedures: the mono-tunnel approach and the medial-portal approach, provides better posterior stability, improved functional outcomes, and a reduced risk of posterior tibial subluxation. This technique allows for the simultaneous treatment of anterolateral and posteromedial bundles and has been successfully performed on 16 patients, with follow-up showing sufficient support and resistance to posterior tibial subluxation or excessive displacement, resulting in a stable knee joint.
Asunto(s)
Inestabilidad de la Articulación , Traumatismos de la Rodilla , Procedimientos Ortopédicos , Ligamento Cruzado Posterior , Traumatismos de los Tejidos Blandos , Esguinces y Distensiones , Humanos , Ligamento Cruzado Posterior/cirugía , Ligamento Cruzado Posterior/lesiones , Articulación de la Rodilla/cirugía , Procedimientos Ortopédicos/métodos , Tibia/cirugía , Traumatismos de la Rodilla/cirugía , Esguinces y Distensiones/cirugía , Inestabilidad de la Articulación/cirugía , Traumatismos de los Tejidos Blandos/cirugíaRESUMEN
Introducción: la maniobra de Lachman es ampliamente empleada como recurso diagnóstico para detectar lesiones en el ligamento cruzado anterior (LCA) y, por su simplicidad, se tiende a pensar que no existe una variabilidad significativa en su ejecución. El presente estudio comparativo está centrado en utilizar los sensores integrados en un dispositivo móvil para encontrar, a través del índice de correlación intraclase, si las variaciones tanto intraobservador como interobservador son significativas. Materiales y métodos: se efectuaron dos ensayos llamados "Lachmatón", con doce residentes de ortopedia a modo de evaluadores y sujetos de prueba; el primer ensayo ayudó a identificar y describir las diferencias de los gestos de ejecución entre los evaluadores, mientras que el segundo permitió medir el incremento de la similitud de ejecución entre estos al ser instruidos, en contraste con el primer ensayo, donde no habían recibido ninguna instrucción; esto fue posible al medir la similitud características estadísticas y morfológicas de las señales adquiridas a través del índice de correlación intraclase. Resultados: se identificaron dos gestos importantes y que emiten señales con distinta forma al aplicarse, o no, a la ejecución de la maniobra: 1) fijar el pie y, 2) fijar el fémur. Se encontró una diferencia significativa entre ambos ensayos, así como entre los dos estilos más usados por los evaluadores. Conclusión: el uso de los sensores integrados en un dispositivo móvil para medir diferencias en la ejecución de la maniobra de Lachman ayudó a determinar los gestos que permiten una mayor reproducibilidad de esta maniobra. Nivel de Evidencia: III
Introduction: the Lachman maneuver was amplified as a diagnostic resource to detect injuries in the anterior cruciate ligament (ACL) and it tends to be thought, due to its simplicity, that there is no significant accumulation in its execution. This comparative study focuses on using the sensors integrated into a mobile device to find out whether the intraobserver or interobserver variations are significant, through the intraclass correlation coefficient. Materials and methods: two trials called "Lachmatón" will be carried out with twelve orthopedic residents as evaluators and test subjects; the first trial helped to identify and describe the differences in performance gestures between raters, while the second allowed measuring the increase in performance similarity between raters as instructors, in contrast to the first trial, where neither could instruction; This was possible by measuring the similarity of the statistical and morphological characteristics of the signals obtained through the intraclass achievement index.Results: two important gestures were identified, which emit signals in different ways when applied or not to the execution of the maneuver: 1) fix the foot and, 2) fix the femur. You will find that there is a significant difference between you and the evaluators. Conclusion: the use of sensors integrated into a mobile device to measure differences in the execution of the Lachman maneuver helped to determine the gestures that allow a greater reproducibility of this maneuver. Level of Evidence: III