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Published on: August 26, 2017
Superb microvascular imaging for evaluating the activity of juvenile localised scleroderma: a preliminary study
Xiaoyi Chen1, Luyao Zhou2, Yu Xia3
1Department of Ultrasound, Shenzhen Children's Hospital of China Medical University, Shenzhen, 518000, China.
Superb Microvascular Imaging (SMI) can detect microvascular changes in juvenile localised scleroderma (JLS) lesions, correlating with disease activity. This non-invasive technique aids in evaluating JLS lesion severity and guiding treatment.
Area of Science:
- Dermatology
- Medical Imaging
- Pediatrics
Background:
- Juvenile localised scleroderma (JLS) is a chronic autoimmune condition affecting the skin and underlying tissues.
- Assessing JLS activity and severity often relies on subjective clinical evaluations.
- Microvascular changes are a hallmark of active scleroderma lesions.
Purpose of the Study:
- To investigate microvascular alterations in JLS lesions using Superb Microvascular Imaging (SMI).
- To evaluate the utility of SMI in quantitatively assessing JLS disease activity and severity.
- To correlate SMI findings with established clinical assessment tools for JLS.
Main Methods:
- A prospective study included 16 children diagnosed with JLS.
- Lesions were assessed using Localised Scleroderma Cutaneous Assessment Tools (LoSAI, LoSDI).
- Ultrasound with SMI was employed to measure skin thickness and calculate the vascular index (VI) in lesions and healthy skin, correlating VI with clinical scores.
Main Results:
- SMI revealed significantly higher vascular index (VI) in active JLS lesions compared to inactive lesions and healthy skin (p<0.001).
- VI in inactive lesions was also significantly different from healthy skin (p=0.011).
- The difference in VI between active lesions and healthy skin showed a strong positive correlation with LoSAI (r=0.625, p=0.001) and total scores (r=0.842, p<0.001).
Conclusions:
- SMI is a valuable, non-invasive tool for quantitatively assessing microvascular blood flow in JLS lesions.
- SMI findings correlate well with clinical disease activity and severity, aiding in objective evaluation.
- This technique can provide crucial information to guide treatment decisions for JLS.
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