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Evaluating Skin Involvement in Systemic Sclerosis Using High-Frequency Ultrasound and Virtual Touch Tissue Imaging
Dao-Rong Hong1, Chun-Yan Huang2, Zhen-Hong Xu1
1Department of Ultrasonography, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Ultrasound in Medicine & Biology
|January 17, 2024
Summary
High-frequency ultrasound combined with visual touch tissue imaging quantification (VTIQ) accurately assesses systemic sclerosis (SSc) skin involvement. This combined method offers superior diagnostic performance for SSc management.
Area of Science:
- Rheumatology
- Medical Imaging
- Biophysics
Background:
- Systemic sclerosis (SSc) is a complex autoimmune disease characterized by skin thickening.
- Accurate assessment of skin involvement is crucial for SSc diagnosis and management.
- Current diagnostic methods may lack quantitative precision in evaluating skin changes.
Purpose of the Study:
- To evaluate the diagnostic significance of high-frequency ultrasound (HFUS) combined with visual touch tissue imaging quantification (VTIQ) for SSc.
- To quantitatively assess skin involvement in SSc patients using these imaging techniques.
- To determine the combined diagnostic performance of HFUS and VTIQ in SSc.
Main Methods:
- A comparative study involving 30 SSc patients and 30 healthy volunteers.
- Skin thickness and shear wave velocity (SWV) were measured at six sites using HFUS and VTIQ.
- Receiver operating characteristic (ROC) curves were generated to assess diagnostic performance.
Main Results:
- Significant differences in SWV and skin thickness were observed between SSc patients and controls (p < 0.05).
- SWV and thickness showed strong correlations with the Rodnan skin score (r = 0.726 and r = 0.679, respectively).
- The combined HFUS and VTIQ approach yielded the highest area under the curve (AUC) of 0.923, indicating superior diagnostic accuracy.
Conclusions:
- The integration of HFUS and VTIQ provides a quantitative and accurate method for assessing skin involvement in SSc.
- This combined approach offers valuable insights for the clinical diagnosis and treatment of SSc.
- HFUS and VTIQ represent a promising tool for improving SSc patient management.
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