Viewing Study NCT04454593


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Study NCT ID: NCT04454593
Status: COMPLETED
Last Update Posted: 2020-07-01
First Post: 2020-06-29
Is NOT Gene Therapy: False
Has Adverse Events: False

Brief Title: Novel Method for Diagnosing Lateral Patellar Compression Syndrome Using X-ray: a Retrospective Case-Control Study
Sponsor: Peking University Third Hospital
Organization:

Study Overview

Official Title: Novel Method for Diagnosing Lateral Patellar Compression Syndrome Using X-ray: a Retrospective Case-Control Study
Status: COMPLETED
Status Verified Date: 2020-06
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
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.

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: