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AI-Based Video Assessment of Anterior Knee Laxity (AI-LAX)

17 de septiembre de 2026 actualizado por: Jacopo Conteduca, ASL Lecce

Artificial Intelligence-Based Video Assessment of Anterior Knee Laxity Compared With Rolimeter in Patients With Anterior Cruciate Ligament Injury: A Prospective Validation Study

This prospective observational validation study aims to evaluate the accuracy and reliability of artificial intelligence-based video analysis for quantifying anterior knee laxity. Participants with unilateral anterior cruciate ligament (ACL) injury and ACL-intact controls will undergo bilateral knee examination using a Rolimeter by two independent orthopedic surgeons. Three consecutive measurements will be obtained for each knee and examiner. Each examination maneuver will be video recorded using a standardized acquisition protocol including a metric reference of known dimensions.

The videos will subsequently be analyzed independently by a multimodal artificial intelligence system blinded to clinical diagnosis, MRI findings, injured side, examiner measurements, and contralateral knee measurements. AI-derived anterior tibial translation and side-to-side difference will be compared with Rolimeter measurements. The primary objective is to assess agreement between AI-derived and Rolimeter-derived side-to-side difference. Secondary objectives include inter-examiner reliability, AI repeatability and the diagnostic accuracy of AI-derived measurements for identifying ACL injury.

Descripción general del estudio

Estado

Aún no reclutando

Descripción detallada

Each examiner will perform three consecutive Rolimeter measurements on both knees. Individual maneuvers will be video recorded so that the Rolimeter and AI measurements refer to the same mechanical examination. Videos will be pseudonymized and analyzed independently. The AI system will have no access to participant group allocation, MRI findings, injured side, Rolimeter measurements, or results from other videos belonging to the same participant.

A standardized metric reference positioned in the plane of the examined knee will be visible in each recording to permit estimation of displacement in millimeters. AI measurements will not be used for clinical decision-making.

Tipo de estudio

De observación

Inscripción (Estimado)

70

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

  • Nombre: Jacopo Conteduca, MD
  • Número de teléfono: 0039 3332280645
  • Correo electrónico: conteduca85@gmail.com

Ubicaciones de estudio

      • Lecce, Italia, 73100
        • Ospedale Vito Fazzi
        • Contacto:

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

16 años a 55 años (Niño, Adulto)

Acepta Voluntarios Saludables

Sí

Géneros elegibles para el estudio

Todos

Método de muestreo

Muestra no probabilística

Población de estudio

Adults undergoing prospective bilateral assessment of anterior knee laxity at a single orthopedic center. The study population will include two cohorts: participants with a unilateral, complete anterior cruciate ligament (ACL) injury confirmed by magnetic resonance imaging and ACL-intact control participants without clinical evidence or history of ACL injury.

All participants will undergo the same standardized bilateral knee examination using an arthrometer performed independently by two orthopedic examiners. Each examination maneuver will be video recorded for subsequent blinded AI-based assessment of anterior tibial translation.

Descripción

Inclusion Criteria:

  • General inclusion criteria
  • Age ≥16 years.
  • Ability to understand the study procedures and provide written informed consent.
  • Ability to undergo bilateral clinical assessment of anterior knee laxity.

ACL-Deficient Group

  • Unilateral complete anterior cruciate ligament (ACL) injury confirmed by magnetic resonance imaging (MRI).
  • Clinical evidence of anterior knee instability compatible with ACL deficiency.
  • Contralateral knee without known ACL injury or previous ACL reconstruction.
  • ACL-Intact Control Group
  • No history of ACL injury or ACL reconstruction in either knee.
  • No clinical evidence of anterior knee instability.
  • Negative clinical assessment for ACL deficiency in both knees.

Exclusion Criteria

  • Previous ACL reconstruction or other major ligament reconstruction of either knee.
  • Bilateral ACL injury.
  • Revision ACL injury or previous ACL surgery.
  • Concomitant complete injury of another major knee ligament requiring surgical treatment.
  • Previous major knee surgery that could affect anterior tibial translation.
  • Moderate-to-severe knee osteoarthritis or radiographic osteoarthritis greater than Kellgren-Lawrence grade 1.
  • Acute fracture involving the examined lower limb.
  • Neurological, neuromuscular, or other conditions that could interfere with standardized knee examination.
  • Inability to tolerate or complete the standardized arthrometer examination.
  • Inability or unwillingness to provide informed consent or consent for study video recording.

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Modelos observacionales: COHORT
  • Perspectivas temporales: PROSPECTIVE

Cohortes e Intervenciones

Grupo / Cohorte
ACL-deficient participants

Adults with a unilateral, complete anterior cruciate ligament (ACL) injury confirmed by magnetic resonance imaging (MRI). Participants will undergo bilateral anterior knee laxity assessment using a Rolimeter by two independent orthopedic examiners. Three consecutive measurements will be obtained for each knee and examiner, and each examination maneuver will be video recorded for subsequent blinded AI-based analysis. The contralateral knee will serve as the within-subject reference for calculation of the side-to-side difference.

ACL-Intact Control Group

Adults without a history or clinical evidence of ACL injury or knee instability. Participants will undergo the same standardized bilateral anterior knee laxity assessment performed by two independent orthopedic examiners using a Rolimeter, with three consecutive measurements for each knee and examiner. Each examination maneuver will be video recorded and subsequently analyzed by the AI system using the same protocol applied to the ACL-deficient cohort.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Agreement Between AI-Derived and Arthrometer-Derived Side-to-Side Difference in Anterior Tibial Translation
Periodo de tiempo: Day 1 (index study examination)

Agreement between the side-to-side difference (SSD, mm) in anterior tibial translation estimated by artificial intelligence from standardized knee examination videos and the corresponding SSD obtained with an arthrometer. Agreement will be assessed using intraclass correlation coefficient (ICC, absolute agreement) and Bland-Altman analysis, including mean bias and 95% limits of agreement.

Day 1 (index study examination)

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Measurement Error of AI-Derived Anterior Tibial Translation Compared With Arthrometer Measurements
Periodo de tiempo: Day 1 (index study examination)

The difference between AI-derived and arthrometer-derived measurements of anterior tibial translation will be quantified in millimeters using mean absolute error (MAE), root mean square error (RMSE), mean bias, and 95% limits of agreement.

Day 1 (index study examination)
Inter-Examiner Reliability of Arthrometer Measurements
Periodo de tiempo: Day 1 (index study examination)

Reliability of anterior tibial translation and side-to-side difference measurements obtained independently by two orthopedic examiners using an arthrometer. Inter-examiner reliability will be assessed using intraclass correlation coefficients with 95% confidence intervals and Bland-Altman analysis.

Day 1 (index study examination)
Agreement Between AI Measurements Derived From Examinations Performed by Different Examiners
Periodo de tiempo: Day 1 (index study examination)

Agreement between AI-derived anterior tibial translation and side-to-side difference obtained from videos of knee examinations performed independently by the two examiners. This outcome will assess the robustness of AI-derived measurements with respect to examiner-related variability.

Day 1 (index study examination)
Diagnostic Accuracy of AI-Derived Side-to-Side Difference for ACL Injury
Periodo de tiempo: Day 1 (index study examination)

The ability of AI-derived side-to-side difference to discriminate participants with complete anterior cruciate ligament injury from ACL-intact controls will be assessed using receiver operating characteristic (ROC) curve analysis. Area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predictive value will be calculated.

Day 1 (index study examination)
diagnostic Accuracy of Arthrometer-Derived Side-to-Side Difference for ACL Injury
Periodo de tiempo: Day 1 (index study examination)

The diagnostic performance of arthrometer-derived side-to-side difference for identifying complete anterior cruciate ligament injury will be evaluated using ROC curve analysis, including AUC, sensitivity, specificity, positive predictive value, and negative predictive value.

Day 1 (index study examination)

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

15 de septiembre de 2026

Finalización primaria (Estimado)

31 de diciembre de 2026

Finalización del estudio (Estimado)

31 de diciembre de 2026

Fechas de registro del estudio

Enviado por primera vez

12 de septiembre de 2026

Primero enviado que cumplió con los criterios de control de calidad

17 de septiembre de 2026

Publicado por primera vez (Actual)

22 de septiembre de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

22 de septiembre de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

17 de septiembre de 2026

Última verificación

1 de septiembre de 2026

Más información

Términos relacionados con este estudio

Palabras clave

Otros números de identificación del estudio

  • ASLLECCE-AILAX-2026-01

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Descripción del plan IPD

De-identified data may be made available from the corresponding author upon reasonable request, subject to institutional and ethical approval.

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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