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

The First Algorithm Calculating Cement Injection Volumes in Patients w

globalresearchsyndicate by globalresearchsyndicate
May 13, 2020
in Data Analysis
0
Quality Of Life And Stigma Among People Living With HIV/AIDS In Iran
0
SHARES
2
VIEWS
Share on FacebookShare on Twitter

Yunpeng Cui,1,* Yuanxing Pan,1,* Mingxing Lei,2 Chuan Mi,1 Bing Wang,1 Xuedong Shi1

1Department of Orthopedic Surgery, Peking University First Hospital, Beijing, People’s Republic of China; 2Department of Orthopedic Surgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xuedong Shi
Department of Orthopedic Surgery, The Peking University First Hospital No. 8 Xishiku Street, Xicheng District Beijing 100032 People’s Republic of China
Tel +86-010-83572211
Email [email protected]

Purpose: This study aims to develop an algorithm to predict cement injection volumes in patients with spine metastases treated with percutaneous vertebroplasty (PVP). Risk factors were also analyzed for intra-spinal canal cement leakages.
Patients and Methods: A retrospective analysis of 584 vertebrae in 251 patients. Patients and vertebrae were divided into three groups based on grades of tumor invasion to the spinal cord. Patients with the complete posterior wall of vertebrae were classified into group A, patients without the complete posterior wall of vertebrae but with normal Dural sac were classified into group B, and patients with deformation of the Dural sac but without neurological symptom were classified into group C. We systematically reviewed demographic data, clinical parameters, radiology features, and cement leakages among the three groups. The multiple linear regressions were used to screen potential risk factors and develop the algorithm to predict injected cement volumes in vertebrae. Significant factors were included in the algorithm. Potential risk factors for intra-spinal canal cement leakage were analyzed using the multiple logistic regressions.
Results: In the study, 17.1% (100/584) of vertebrae occurred cement leakages. Vertebrae in group C (28.6%, 8/28) had the highest cement leakage rate than patients in group A (14.4%, 61/424) and B (23.5%, 31/132) (P=0.014). Vertebrae in group C (14.3%, 4/28) were also more prone to intra-spinal canal leakages (P=0.003). The multiple logistic analysis showed that the Bilsky scale was significantly associated with intra-spinal canal cement leakages (P< 0.001). The multiple linear regression analysis showed that intercept (P< 0.001), treated vertebrae level (P< 0.001), cortical osteolytic destruction in posterior wall (P< 0.001), and Bilsky scale (P=0.014) were significant and those variables were included in the algorithm. The algorithm was Y=3.1627-0.8677×treated vertebrae level-0.6182×cortical osteolytic destruction in the posterior wall-0.2819×Bilsky scale.
Conclusion: An algorithm is proposed and can be used to calculate cement injection volumes in spine metastases treated with PVP. This algorithm can facilitate surgical planning and guide cement injections. Bilsky scale is an independent risk factor for intra-spinal canal cement leakages. We do not recommend PVP treated in patients with a Bilsky scale of 2 and 3 mainly due to a high rate of intra-spinal canal cement leakages.

Keywords: spinal metastases, percutaneous vertebroplasty, algorithm, intra-spinal canal leakages, risk factors


Creative Commons License
This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License.

By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

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
G1 Therapeutics to Present Data Showing Myelopreservation Benefits of Trilaciclib in Patients with Small Cell Lung Cancer at the ASCO20 Virtual Scientific Program

G1 Therapeutics to Present Data Showing Myelopreservation Benefits of Trilaciclib in Patients with Small Cell Lung Cancer at the ASCO20 Virtual Scientific Program

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