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高频超声及剪切波弹性成像定量评估瘢痕疙瘩治疗效果:初步研究

Quantitative assessment of treatment efficacy in keloids using high-frequency ultrasound and shear wave elastography: a preliminary study.

机构信息

Department of Ultrasound, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, Sichuan Province, China.

出版信息

Sci Rep. 2020 Jan 28;10(1):1375. doi: 10.1038/s41598-020-58209-x.

Abstract

The purpose of this study was to investigate the performance of high-frequency ultrasound (HFUS) and shear wave elastography (SWE) in the quantitative evaluation of therapeutic responses of keloids. 43 patients with 76 keloids were recruited into this study. In keloids and symmetrical sites, the skin thickness was measured using HFUS and skin stiffness expressed as elastic moduli (Young's modulus and shear wave velocity) was measured using SWE. The coefficient of variation values were calculated by using difference values of skin elastic moduli and skin thickness. A significant increase of both skin stiffness and thickness appeared in pre-treated keloids compared with post-treated keloids (P < 0.001) and normal controls (P < 0.001), respectively. Stiffness in post-treated keloids and normal skins was significantly different (P < 0.001), while the difference in thickness measurements showed no significance (P = 0.56, >0.05). The coefficient of variation of Young's modulus was the highest when compared between (i) pre-treated keloids and theirs site-matched areas; (ii) pre-treated and post-treated keloids. SWE, which showed greater ability in determining the extent of keloids recovery, may provide an ideal tool to assess the stiffness of keloids and theirs therapeutic response.

摘要

本研究旨在探讨高频超声(HFUS)和剪切波弹性成像(SWE)在定量评估瘢痕疙瘩治疗反应中的性能。 43 名 76 个瘢痕疙瘩患者纳入本研究。在瘢痕疙瘩和对称部位,使用 HFUS 测量皮肤厚度,使用 SWE 测量皮肤硬度(杨氏模量和剪切波速度)。通过弹性模量和皮肤厚度的差值计算变异系数值。与治疗后的瘢痕疙瘩和正常对照相比,预处理的瘢痕疙瘩的皮肤硬度和厚度均显著增加(P<0.001)。治疗后瘢痕疙瘩和正常皮肤的硬度差异有统计学意义(P<0.001),而厚度测量的差异无统计学意义(P=0.56,>0.05)。杨氏模量的变异系数在(i)预处理瘢痕疙瘩与其部位匹配区域之间;(ii)预处理和治疗后瘢痕疙瘩之间的比较中最高。SWE 在确定瘢痕疙瘩恢复程度方面具有更大的能力,可能为评估瘢痕疙瘩的硬度及其治疗反应提供了理想的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/539f/6987198/d7f687d98a89/41598_2020_58209_Fig1_HTML.jpg

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