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Knee Joint01:23

Knee Joint

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The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
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Functional Classification of Joints01:09

Functional Classification of Joints

7.0K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters00:54

Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters

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The noncompartmental approach is a widely used method in pharmacokinetics to assess drugs' behaviors in the body. It considers several factors, including clearance, bioavailability, and total volume of distribution.
One key aspect of the noncompartmental approach is determining a drug's total clearance. This can be done by dividing the drug dose by the area under the concentration-time curve from zero to infinity. The area under the concentration-time curve represents the drug's...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Structural Joints: Synovial Joints01:16

Structural Joints: Synovial Joints

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Synovial joints are the most common type of joint in the body. A key structural characteristic for a synovial joint is the presence of a joint cavity. This fluid-filled space is where the articulating surfaces of the bones contact each other. Also, unlike fibrous or cartilaginous joints, the articulating bone surfaces at a synovial joint are not directly connected to each other with fibrous connective tissue or cartilage. This gives the bones of a synovial joint the ability to move smoothly...
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Video Experimental Relacionado

Updated: Feb 10, 2026

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs
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Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs

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Parámetros sagitales después de la artroplastia total de rodilla primaria que afectan la función de la articulación

Wenqian Xu1, Xiaotao Huang2, Jinsong Liu1

  • 1Department of Orthopaedics, First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China.

Journal of orthopaedic surgery and research
|February 8, 2026
PubMed
Resumen

La colocación precisa de la prótesis de rodilla sagital, específicamente la pendiente tibial posterior (PTS), el desplazamiento cóndilo posterior (PCO) y el grosor rotuliano, impacta significativamente los resultados de la artroplastia total de rodilla (TKA). Estos parámetros son cruciales para lograr una función satisfactoria del paciente y una sensación articular postoperatoria.

Palabras clave:
Modelo de predicción clínicaAnálisis de correlaciónEstudio retrospectivoParámetros sagitalesArtroplastia total de rodilla

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Área de la Ciencia:

  • Cirugía Ortopédica; Ingeniería Biomédica; Radiología

Sus antecedentes:

  • La colocación precisa de la prótesis es vital para la eficacia clínica de la artroplastia total de rodilla (TKA).; Si bien los parámetros coronales y axiales rotulianos a menudo están dentro de los límites normales, algunos pacientes con TKA experimentan resultados subóptimos, potencialmente debido a parámetros sagitales anormales.; Este estudio investiga la relación entre los parámetros sagitales y la eficacia clínica después de la TKA.

Objetivo del estudio:

  • Analizar el impacto de los parámetros de colocación de la prótesis de rodilla sagital en los resultados clínicos después de la TKA primaria.; Identificar los parámetros sagitales clave que influyen en el pronóstico del paciente.; Desarrollar un modelo de predicción clínica para el estado posoperatorio satisfactorio en pacientes con TKA.

Principales métodos:

  • Análisis retrospectivo de 188 pacientes sometidos a TKA primaria.; Recopilación de parámetros radiográficos coronales, axiales rotulianos y sagitales.; Se utilizaron análisis de correlación (Spearman) y regresión logística para evaluar la asociación entre los parámetros sagitales y las puntuaciones clínicas (HSS, KPS, FJS-12), seguido del desarrollo de un modelo predictivo.

Principales resultados:

  • La pendiente tibial posterior (PTS), el desplazamiento cóndilo posterior (PCO) y la relación de desplazamiento cóndilo posterior (PCOR) se correlacionaron positivamente con la puntuación de rodilla del Hospital for Special Surgery (HSS).; El grosor rotuliano y el índice de Blackburne-Peel (índice B-P) mostraron correlaciones negativas con HSS y KPS.; PTS, PCO, PCOR, índice B-P y grosor rotuliano se asociaron independientemente con la Puntuación de Articulación Olvidada (FJS-12). Los parámetros óptimos para resultados satisfactorios incluyeron PTS ≥ 5,5°, PCO ≥ 31,2 mm, índice B-P < 1 y grosor rotuliano < 16,6 mm.

Conclusiones:

  • Los parámetros sagitales, incluido el PCO, PCOR, PTS, el índice B-P y el grosor rotuliano, influyen significativamente en el pronóstico del paciente después de la TKA.; Los médicos deben prestar mucha atención a estos parámetros sagitales durante la implantación de la prótesis.; El modelo de predicción desarrollado proporciona rangos de parámetros óptimos para mejorar los resultados de la TKA.