Volume 23 Issue 2
Feb.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(2): 282-285
ZOU Qingguo, XU Huajun, FAN Huihui, JIN Qiang, JI Guofei. Texture characteristics of high frequency ultrasound in patients with carpal tunnel syndrome and its diagnostic value[J]. Chinese Journal of General Practice, 2025, 23(2): 282-285. doi: 10.16766/j.cnki.issn.1674-4152.003886
Citation: ZOU Qingguo, XU Huajun, FAN Huihui, JIN Qiang, JI Guofei. Texture characteristics of high frequency ultrasound in patients with carpal tunnel syndrome and its diagnostic value[J]. Chinese Journal of General Practice, 2025, 23(2): 282-285. doi: 10.16766/j.cnki.issn.1674-4152.003886
shu

Texture characteristics of high frequency ultrasound in patients with carpal tunnel syndrome and its diagnostic value

doi: 10.16766/j.cnki.issn.1674-4152.003886
  • 1.

    Department of Ultrasound, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China

Funds:

 2022RC263

  • Received Date: 2024-01-26
    Available Online: 2025-03-27
    Abstract
  •   Objective  To analyze the texture features of patients with carpal tunnel syndrome by high-frequency ultrasound, and to analyze the diagnostic value of high-frequency ultrasound texture features for carpal tunnel syndrome, so as to provide a better method for the diagnosis of this disease.  Methods  From January 2021 to December 2023, 148 patients with carpal tunnel syndrome in Huzhou Central Hospital were taken as the case group, and 100 patients with non-carpal tunnel syndrome who were treated for other factors during the same period were included as control group. Compare the texture features of high-frequency ultrasound between the two groups, draw the ROC curve, and analyze the diagnostic value of high-frequency ultrasound texture features in carpal tunnel syndrome.  Results  The mean value, standard deviation, coefficient of variation, and histogram entropy of the case group were lower than those of the control group, while the skewness, peak value, brightness entropy, and median value were higher than those of the control group (P < 0.05). The average ratio of pixels, average ratio of the same depth, median ratio, median ratio of the same depth, Q0.5, Q0.6, Q0.7, Q0.8, Q0.9, and Q1 in the case group were lower than those in the control group, while Q0, Q0.05, Q0.1 and Q0.15 were higher than those in the control group (P < 0.05). The maximum thickness, median thickness, average thickness, maximum length, median length, average length, lesion area, major axis, minor axis, eccentricity, and lesion circumference in the case group were all lower than those in the control group (P < 0.05). The AUC (0.934) of gray level co-occurrence matrix, morphological features, and first-order statistics in the diagnosis of elbow syndrome was significantly higher than that of single and gray level co-occurrence matrix AUC (0.762), morphological features AUC (0.884) and first-order statistics AUC (0.753).  Conclusion  Gray-level co-occurrence matrix, morphological features, and first-order statistics in texture feature analysis of high-frequency ultrasound have high diagnostic value for patients with carpal tunnel syndrome, and the combination of the three is more valuable.

     

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