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関連する概念動画

Knee Joint01:23

Knee Joint

3.3K
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...
7.0K
Correlations02:20

Correlations

36.5K
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...
36.5K
Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters00:54

Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters

460
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...
460
Correlation and Causation01:27

Correlation and Causation

42.9K
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...
42.9K
Structural Joints: Synovial Joints01:16

Structural Joints: Synovial Joints

7.1K
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...
7.1K

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Updated: Feb 10, 2026

Creation of a Knee Joint-on-a-Chip for Modeling Joint Diseases and Testing Drugs
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一次全膝关节置换术后矢状面参数对膝关节功能的影响：相关性分析与预测模型构建

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
まとめ

准确的矢状面膝关节假体放置，特别是胫骨后倾角（PTS）、后髁间距（PCO）和髌骨厚度，对全膝关节置换术（TKA）的结果有显著影响。这些参数对于实现满意的手术后患者功能和关节感觉至关重要。

キーワード:
临床预测模型相关性分析回顾性研究矢状面参数全膝关节置换术

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Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint
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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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科学分野:

  • 骨科手术；生物医学工程；放射学

背景:

  • 准确的假体放置对于全膝关节置换术（TKA）的临床疗效至关重要。虽然冠状面和髌骨轴向参数通常在正常范围内，但一些TKA患者的疗效不佳，这可能是由于矢状面参数异常。本研究调查了TKA术后矢状面参数与临床疗效之间的关系。

研究 の 目的:

  • 分析矢状面膝关节假体放置参数对一次TKA术后临床疗效的影响。确定影响患者预后的关键矢状面参数。构建TKA患者满意术后状态的临床预测模型。

主な方法:

  • 回顾性分析188例接受一次TKA的患者。收集冠状面、髌骨轴向和矢状面放射学参数。采用相关性分析（Spearman）和逻辑回归评估矢状面参数与临床评分（HSS、KPS、FJS-12）之间的关联，然后进行预测模型开发。

主要な成果:

  • 胫骨后倾角（PTS）、后髁间距（PCO）和后髁间距比（PCOR）与Hospital for Special Surgery膝关节评分（HSS）呈正相关。髌骨厚度和Blackburne-Peel指数（B-P指数）与HSS和KPS呈负相关。PTS、PCO、PCOR、B-P指数和髌骨厚度与Forgotten Joint Score（FJS-12）独立相关。满意疗效的最佳参数包括PTS≥5.5°，PCO≥31.2 mm，B-P指数<1，髌骨厚度<16.6 mm。

結論:

  • 矢状面参数，包括PCO、PCOR、PTS、B-P指数和髌骨厚度，对TKA术后患者预后有显著影响。临床医生在假体植入过程中应密切关注这些矢状面参数。开发的预测模型提供了改善TKA疗效的最佳参数范围。