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Updated: Feb 1, 2026

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
Published on: April 20, 2021
Comparison of 2-D shear wave elastography with clinical score in localized scleroderma: A new method to increase the
Ying Wang1, Jie-Ling Shan1, Hu-Yan Chen2
1Department of Ultrasonography, Huashan Hospital, School of Medicine, Fudan University, Shanghai, China.
Abstract:
There is no established diagnostic criteria or widely accepted severity classification of localized scleroderma (LS) by imaging. Acoustic radiation force impulse (ARFI) technology by normalized mean shear wave velocity (SWV) may be as a probing tool for diagnosing and staging LS accurately and objectively. Fifty-six patients with LS of inflammatory (n = 21), sclerotic (n = 24) and atrophic (n = 11) stage and 30 healthy controls were evaluated on the basis of pathological results. Dermal thickness, ARFI quality (elastography score) and quantity (mean SWV) were measured by ultrasonography (US), diagnosis and stage performances of LS using the dermal thickness, elastography score and mean SWV compared with modified localized scleroderma skin severity index (mLoSSI) were evaluated. Significant differences in the dermal thickness, elastography score and mean SWV were found between the normal adult and LS patients; for diagnosing LS, the area under the receiver-operator curves (AUROC) of the dermal thickness, elastography score, mean SWV and mLoSSI were 0.93 ± 0.03, 0.95 ± 0.01, 0.93 ± 0.03 and 0.93 ± 0.02, respectively. Compared with the dermal thickness, the elastography score and mLoSSI, the AUROC and the specificities of mean SWV for differentiating sclerotic from inflammatory stage and atrophic from sclerotic LS increased significantly, especially by normalized mean SWV (AUROC, 0.84 ± 0.06 and 0.83 ± 0.07; specificity, 85.71% and 91.67%). As non-invasive methods, mean SWV and dermal thickness by US may provide reliable information to diagnose and stage LS compared with mLoSSI especially by normalized mean SWV.
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