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人工智能算法下高分辨率超声联合剪切波弹性成像在局限性硬皮病皮肤厚度定量评估中的价值。

The Value of High-Resolution Ultrasound Combined with Shear-Wave Elastography under Artificial Intelligence Algorithm in Quantitative Evaluation of Skin Thickness in Localized Scleroderma.

机构信息

Department of Ultrasound, Hebei General Hospital, Shijiazhuang, Hebei 050000, China.

出版信息

Comput Intell Neurosci. 2022 Mar 4;2022:1613783. doi: 10.1155/2022/1613783. eCollection 2022.

DOI:10.1155/2022/1613783
PMID:35281193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8916868/
Abstract

The aim of this study was to explore the value of high-resolution ultrasound combined with shear-wave elastography (SWE) in measuring skin thickness in patients with localized scleroderma (LS). Fifty patients with LS diagnosed by pathology in the hospital were selected as the research object, with a total of 96 lesions. Healthy people (50 cases) in the same period were selected as the control group. The skin thickness of the abdomen, chest, and left finger of the two groups was compared. The traditional nonlocal means (NLM) algorithm was improved by changing the Euclidean distance and introducing a cosine function, which was applied to the ultrasonic imaging intelligent diagnosis of patients with localized scleroderma. SWE imaging was evaluated, and the results demonstrated that LS lesion edema stage accounted for 7.29%, hardening stage occupied 43.75%, and the proportion of atrophy stage reached 48.96%. When the size of shell was 1 mm, maximum elastic modulus ( ) was 0.984, mean of elastic modulus (Emean) was 0.926, and electro-static discharge (Esd) was 0.965. When the size of shell was 2 mm, the elastic moduli around lesions were as follows: Emax was 0.998, Emean was 0.968, and Esd was 0.997. By comparing the skin thickness of the abdomen, chest, and left finger, it was found that there was a significant difference between the LS group and the control group ( < 0.05). When the shell was 2 mm, the effect of sensitivity specificity on SWE imaging was better than that when the shell was 1 mm. In summary, the improved NLM algorithm showed excellent denoising effects on the ultrasonic images of LS patients. Besides, it could assist clinicians in ultrasonic imaging diagnosis for LS patients and effectively improve the diagnostic accuracy of diseases.

摘要

本研究旨在探讨高分辨率超声联合剪切波弹性成像(SWE)测量局限性硬皮病(LS)患者皮肤厚度的价值。选取医院病理诊断为 LS 的 50 例患者作为研究对象,共 96 处病变,同期选取健康人(50 例)作为对照组。比较两组腹部、胸部和左手指皮肤厚度,采用改变欧几里得距离和引入余弦函数的方法对传统非局部均值(NLM)算法进行改进,应用于局限性硬皮病患者的超声成像智能诊断。对 SWE 成像进行评估,结果显示 LS 病变水肿期占 7.29%,硬化期占 43.75%,萎缩期占 48.96%。当壳层大小为 1mm 时,最大弹性模量( )为 0.984,平均弹性模量(Emean)为 0.926,静电放电(Esd)为 0.965。当壳层大小为 2mm 时,病变周围弹性模量分别为:Emax 为 0.998,Emean 为 0.968,Esd 为 0.997。比较腹部、胸部和左手指皮肤厚度,LS 组与对照组比较差异有统计学意义( < 0.05)。当壳层为 2mm 时,SWE 成像的灵敏度、特异度效果优于壳层为 1mm 时。综上所述,改进的 NLM 算法对 LS 患者的超声图像显示出优异的去噪效果,有助于临床医生对 LS 患者进行超声成像诊断,有效提高疾病的诊断准确率。

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