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Journal of Orthopaedic Surgery and Research

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Open Access 01-12-2024 | Research article

Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis

Authors: Boxin Zheng, Lin Ouyang, Jianhua Shi, Xiaochan Shen, Hanbin Lei

Published in: Journal of Orthopaedic Surgery and Research | Issue 1/2024

Abstract

Purpose

This study aimed to investigate an early diagnostic method for lumbar disc degeneration (LDD) and improve its diagnostic accuracy.

Methods

Quantitative biomarkers of the lumbar body (LB) and lumbar discs (LDs) were obtained using nuclear magnetic resonance (NMR) detection technology. The diagnostic weights of each biological metabolism indicator were screened using the factor analysis method.

Results

Through factor analysis, common factors such as the LB fat fraction, fat content, and T2* value of LDs were identified as covariates for the diagnostic model for the evaluation of LDD. This model can optimize the accuracy and reliability of LDD diagnosis.

Conclusion

The application of biomarker quantification methods based on NMR detection technology combined with factor analysis provides an effective means for the early diagnosis of LDD, thereby improving diagnostic accuracy and reliability.

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Title: Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis
Authors: Boxin Zheng
Lin Ouyang
Jianhua Shi
Xiaochan Shen
Hanbin Lei
Publication date: 01-12-2024
Publisher: BioMed Central
Published in: Journal of Orthopaedic Surgery and Research / Issue 1/2024
Electronic ISSN: 1749-799X
DOI: https://doi.org/10.1186/s13018-024-04726-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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