Application of real-time shear wave elastography in staging of common femoral venous thrombosis / 中国医学影像技术
Chinese Journal of Medical Imaging Technology
;
(12): 1200-1204, 2019.
Article
in Chinese
| WPRIM
| ID: wpr-861273
ABSTRACT
Objective:
To explore the value of real-time shear wave elastography (SWE) in staging of common femoral venous thrombosis (CFVT).Methods:
Totally 92 patients with unilateral CFVT were divided into acute phase (1-14 d, n=41), subacute phase (15-30 d, n=24) or chronic phase (>30 d, n=27) according to the time of complaint. Young's modulus mean values and two-dimensional (2D) ultrasound scores were compared among the three phases. ROC curve was used to evaluate the diagnostic effect of 2D ultrasound and SWE for acute and chronic CFVT.Results:
2D ultrasound scores and Young's modulus values were significantly different among the three phases (P<0.001), and the differences between each two phases were all statistically significant (all P<0.05). AUC of SWE in diagnosing acute CFVT was 0.916 (P<0.05), and the cutoff Young's modulus value was 13.50 kPa, with the sensitivity of 85.37% and specificity of 82.35%. AUC of 2D ultrasound for diagnosing acute CFVT was 0.800 (P<0.05), and the cutoff ultrasound score was 2.00, with the sensitivity of 75.61% and specificity of 66.67%. AUC of the two methods for diagnosing acute CFVT had significant difference (P<0.001). AUC of SWE in diagnosing chronic CFVT was 0.917 (P<0.05), and the cutoff Young's modulus value was 16.40 kPa, with the sensitivity of 85.19% and specificity of 87.69%. AUC of 2D ultrasound in diagnosing chronic CFVT was 0.842 (P<0.05), and the cutoff ultrasound score was 2.03, with the sensitivity of 87.21% and specificity of 69.23%. AUC of these two methods for diagnosing chronic CFVT had significant difference (P=0.010).Conclusion:
Real-time SWE can be used to judge the clinical stage of CFVT, and its diagnostic efficiency may be better than conventional ultrasonography.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Chinese Journal of Medical Imaging Technology
Year:
2019
Type:
Article
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