GLOBAL RESEARCH SYNDICATE
No Result
View All Result
  • Login
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
No Result
View All Result
globalresearchsyndicate
No Result
View All Result
Home Data Analysis

3D simulation of radiographic projections to test and reduce the effect of pelvic tilt on the accuracy of cross-table lateral radiography

globalresearchsyndicate by globalresearchsyndicate
December 16, 2020
in Data Analysis
0
The relationship between cancer fatalism and education
0
SHARES
6
VIEWS
Share on FacebookShare on Twitter

Background: Cross-table lateral (CL) radiography is a convenient and feasible method to assess cup version angle (VA) after total hip arthroplasty; However, pelvic tilt (PT) may contribute to its measurement inaccuracy. How PT affects CL radiographic measurements have not been well studied. We sought (1) to determine the effect of the PT on cup version measurement on CL radiography and (2) to develop a method for reducing measurement errors caused by the PT.

Methods: We used 3D technique to construct standard model and capture CL radiography simulation. A linear regression model was created to analyze the relationship between PT and VA. CL radiography and computed tomography (CT) were performed for the enrolled patients after surgery. The consistency between CL and CT measurements were verified by intra-class correlation coefficient (ICC).

Results: There was a high correlation between the VA and PT. For each 1-degree increased in the PT, the VA decreased by 0.76° (R2 = 0.995, p < 0.001). Based on the data, we created a corrective formula to convert the radiographic measurements into values approximating the actual VA under a natural pelvic position. The VA measurements corrected by our equation was in high agreement with the CT-measured values with reference to the corresponding PT (ICC = 0.988, p < 0.001), which was in sharp contrast to that without PT control (ICC = 0.454, p = 0.203).

Conclusions: The PT may contribute to cup version measurement inaccuracies on CL radiography. Our mathematical algorithm can serve as a reliable method to improve the accuracy of CL radiography.

Keywords: Acetabular component; Cross-table lateral radiography; Pelvic tilt; Total hip arthroplasty; Version angle.

Related Posts

How Machine Learning has impacted Consumer Behaviour and Analysis
Consumer Research

How Machine Learning has impacted Consumer Behaviour and Analysis

January 4, 2024
Market Research The Ultimate Weapon for Business Success
Consumer Research

Market Research: The Ultimate Weapon for Business Success

June 22, 2023
Unveiling the Hidden Power of Market Research A Game Changer
Consumer Research

Unveiling the Hidden Power of Market Research: A Game Changer

June 2, 2023
7 Secrets of Market Research Gurus That Will Blow Your Mind
Consumer Research

7 Secrets of Market Research Gurus That Will Blow Your Mind

May 8, 2023
The Shocking Truth About Market Research Revealed!
Consumer Research

The Shocking Truth About Market Research: Revealed!

April 25, 2023
market research, primary research, secondary research, market research trends, market research news,
Consumer Research

Quantitative vs. Qualitative Research. How to choose the Right Research Method for Your Business Needs

March 14, 2023
Next Post
WITCC students research how likely people are to support scientific data surrounding COVID-19 | SiouxlandProud | Sioux City, IA

WITCC students research how likely people are to support scientific data surrounding COVID-19 | SiouxlandProud | Sioux City, IA

Categories

  • Consumer Research
  • Data Analysis
  • Data Collection
  • Industry Research
  • Latest News
  • Market Insights
  • Marketing Research
  • Survey Research
  • Uncategorized

Recent Posts

  • Ipsos Revolutionizes the Global Market Research Landscape
  • How Machine Learning has impacted Consumer Behaviour and Analysis
  • Market Research: The Ultimate Weapon for Business Success
  • Privacy Policy
  • Terms of Use
  • Antispam
  • DMCA

Copyright © 2024 Globalresearchsyndicate.com

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT
No Result
View All Result
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights

Copyright © 2024 Globalresearchsyndicate.com