Efficacy of Grading Multiple Ligament Injuries of the Knee Joint Based on MRI Texture Analysis
10.3969/j.issn.1005-5185.2025.01.014
- VernacularTitle:基于MRI纹理分析评估膝关节多韧带损伤分级效能
- Author:
Qian ZHANG
1
;
Yeyu XIAO
;
Xiaoying LIANG
;
Jingyao YANG
;
Fengfeng LIN
;
Qinghua LUO
Author Information
1. 广州中医药大学附属广州中西医结合医院影像科,广东 广州 510800
- Publication Type:Journal Article
- Keywords:
Knee injuries;
Joint diseases;
Magnetic resonance imaging;
Texture analysis;
Ligaments;
Diagnosis
- From:
Chinese Journal of Medical Imaging
2025;33(1):78-83
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To explore the diagnostic efficacy of texture analysis in grading multiple ligament injuries of the knee Joint.Materials and Methods MRI images of 203 patients with knee injuries in the Second Affiliated Hospital of Shantou University School of Medicine from June 2018 to September 2020 were retrospectively collected,and then graded the injuries of multiple ligaments.Extraction of texture features and discriminant analysis were accomplished by MaZda software.Spearman correlation analysis and LASSO penalized Logistic regression analysis were used to further explore the differential diagnostic efficacy of each texture parameter for grading knee ligament injuries.Results(1)MaZda software was found to have the highest diagnostic efficacy for patellar ligament injury grading by using different texture feature screening methods in combination with discriminant analysis.Non-linear discriminant analysis had the lowest misclassification rate of 4.43%.(2)The texture parameters that were ultimately included in the analysis of the subjects'work characteristic curves appeared more frequently in the gray level co-occurrence matrix and the run length matrix.(3)The area under the curve of the texture parameters finally included in the analysis were 0.870-0.975,0.772-0.912,0.836-0.929 and 0.766-0.920,respectively in patellar ligament,anterior cruciate ligament,posterior cruciate ligament and lateral collateral ligament for the diagnosis of knee ligament injury grading.The diagnostic efficacy for patellar ligament injury grading was the highest,which was consistent with the lowest misclassification rate for patellar ligament in the discriminant analysis of texture features.And the texture parameters ultimately included in patellar ligament were all highly correlated with its injury grading.Conclusion The texture analysis technique has high diagnostic efficacy for grading knee ligament injuries,and can provide a more accurate diagnostic imaging basis for the clinic.
