Novel Method for Diagnosing Lateral Patellar Compression Syndrome Using X-ray: a Retrospective Case-Control Study

Lateral Patellar Compression Syndrome Clinical Trial

Official title:

Novel Method for Diagnosing Lateral Patellar Compression Syndrome Using X-ray: a Retrospective Case-Control Study

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT04454593
• Other study ID #: M2019464
• Status: Completed
• Start date: March 22, 2020
• Est. completion date: May 22, 2020

Study information

• Verified date: June 2020
• Source: Peking University Third Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This study evaluates whether the patellar axial radiograph of lateral patellar curvature angle （LPCA）with knee flexion at 30 ° can be used as a new diagnostic surrogate of lateral patellar compression syndrome（LPCS）. We believe that the new index LPCA has high sensitivity and specificity in initial diagnosis of LPCS using axial patellar radiograph with knee flexion at 30 ° , and has high application value.

Description:

Background: A well-established reference is lacking for diagnosing lateral patellar compression syndrome (LPCS), and this diagnosis currently depends on clinicians' subjective judgment and several examination results. X-rays are primarily used to diagnose LPCS, but they have low detection rates of patellar tilt using the congruence angle (CA) and patellar tilting angle (PTA).

Purpose: To investigate whether patellar axial radiography of the lateral patellar curvature angle (LPCA) of knee in 30° flexion can diagnose LPCS.

Methods: We enrolled 87 patients between 2016 and 2019 and divided them as per diagnosis into three groups of 29 each: LPCS, patellar dislocation (PD, control), and meniscus tear (MT, negative control) groups. A senior radiologist and the chief physician of sports medicine examined their patellar axial radiographs of the knee in 30° flexion using a computer imaging system, measuring LPCA, PTA, and CA. Univariate analysis of variance and Kruskal-Wallis H test were used to compare measurement data with normal distribution and non-normal distribution, respectively. Bonferroni correction was used to analyze different indicators for different groups. The area under the curve (AUC) was calculated to verify the value of LPCA in initial diagnosis of LPCS.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 87
• Est. completion date: May 22, 2020
• Est. primary completion date: April 22, 2020
• Accepts healthy volunteers: No
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Patients were diagnosed as LPCS ,MT and PD respectively

Exclusion Criteria:

• patients with ligament injury, malunion of patella fracture, free bodies in the joint, surgical contraindications, and with both knees affected.

Related Conditions & MeSH terms

• Lateral Patellar Compression Syndrome
• Syndrome

Intervention

Other:
• no intervention
This is an observation study,with no intervention

Locations

Country	Name	City	State
China	Peking University Third Hospital	Beijing	Beijing

Sponsors (1)

Lead Sponsor	Collaborator
Peking University Third Hospital

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	lateral patellar curvature angle	lateral patellar curvature angle in three groups was compared	between 2016 and 2019