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

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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04454593
Enrollment
87
Registered
2020-07-01
Start date
2020-03-22
Completion date
2020-05-22
Last updated
2020-07-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lateral Patellar Compression Syndrome

Keywords

Lateral patellar compression syndrome, Lateral patellar curvature angle, Patellar axial radiographs, The area under the curve

Brief 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.

Detailed 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.

Interventions

OTHERno intervention

This is an observation study,with no intervention

Sponsors

Peking University Third Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
lateral patellar curvature anglebetween 2016 and 2019lateral patellar curvature angle in three groups was compared

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026