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SMI 技术与超声造影在甲状腺良恶性结节鉴别诊断中的应用价值。

The Application Value of SMI Technology and Contrast-Enhanced Ultrasound in the Differential Diagnosis of Benign and Malignant Thyroid Nodules.

机构信息

Department of Neurology, The First Affiliated Hospital of Jiamusi University, Jiamusi 154000, Heilongjiang, China.

Department of Neurology, 970 Hospital of Yantai Joint Logistics Support Force, Yantai 264000, Shandong, China.

出版信息

Contrast Media Mol Imaging. 2022 Aug 25;2022:6157026. doi: 10.1155/2022/6157026. eCollection 2022.

DOI:10.1155/2022/6157026
PMID:36082066
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9436616/
Abstract

Thyroid disease has always been a common and frequent disease in clinical medicine, and its disease detection rate has been increasing year by year. Thyroid diseases are mainly divided into two categories: thyroid diseases treated by medical treatment and thyroid diseases treated by surgery. Thyroid cancer has also become one of the most common malignant secretory tumor diseases today. Ultrasound examination is a commonly used method for diagnosing thyroid diseases. During the diagnosis process, doctors need to observe the characteristics of ultrasound images and combine professional knowledge and clinical experience to give the patient's disease status. With the improvement of people's living standards and health awareness, thyroid disease has become an important issue that plagues the health of Chinese residents. Therefore, people and medical workers are paying more attention to thyroid disease. In recent years, various ultrasound technologies have been applied in the differential diagnosis of benign and malignant thyroid nodules and have played an important role in the diagnosis. This article aims to study the application value of SMI technology (ultra-microvascular imaging technology) and contrast-enhanced ultrasound in the differential diagnosis of thyroid benign and malignant nodules. It conducts diagnostic experiments and analysis on some cases of benign and malignant thyroid nodules through the use of SMI diagnostic methods and contrast-enhanced ultrasound examination methods. And the ROC curve was used to calculate the sensitivity of SMI technology and ultrasound for the identification and diagnosis of thyroid benign and malignant nodules, and the results were 0.83 and 0.81, respectively. It is concluded that SMI technology and contrast-enhanced ultrasound examination have good diagnostic efficiency and application value for the identification and diagnosis of thyroid benign and malignant nodules.

摘要

甲状腺疾病一直是临床医学中的常见病和多发病,其疾病检出率逐年增高。甲状腺疾病主要分为两类:内科治疗的甲状腺疾病和外科治疗的甲状腺疾病。甲状腺癌也已成为当今最常见的恶性分泌性肿瘤疾病之一。超声检查是诊断甲状腺疾病的常用方法。在诊断过程中,医生需要观察超声图像的特征,并结合专业知识和临床经验,给出患者的疾病状况。随着人们生活水平和健康意识的提高,甲状腺疾病已成为困扰中国居民健康的重要问题。因此,人们和医务人员更加关注甲状腺疾病。近年来,各种超声技术已应用于甲状腺良恶性结节的鉴别诊断中,并在诊断中发挥了重要作用。本文旨在研究 SMI 技术(超微血管成像技术)和超声造影在甲状腺良恶性结节鉴别诊断中的应用价值。通过使用 SMI 诊断方法和超声造影检查方法,对一些甲状腺良恶性结节病例进行了诊断实验和分析。并利用 ROC 曲线计算了 SMI 技术和超声对甲状腺良恶性结节的识别和诊断的灵敏度,结果分别为 0.83 和 0.81。结论:SMI 技术和超声造影检查对甲状腺良恶性结节的识别和诊断具有良好的诊断效率和应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/d28050f0f318/CMMI2022-6157026.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/cc558f029489/CMMI2022-6157026.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/6e665604c71f/CMMI2022-6157026.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/b3841283efa0/CMMI2022-6157026.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/8910cc8e174e/CMMI2022-6157026.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/5f7bee2425f9/CMMI2022-6157026.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/d28050f0f318/CMMI2022-6157026.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/cc558f029489/CMMI2022-6157026.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/6e665604c71f/CMMI2022-6157026.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/b3841283efa0/CMMI2022-6157026.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/8910cc8e174e/CMMI2022-6157026.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/5f7bee2425f9/CMMI2022-6157026.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8417/9436616/d28050f0f318/CMMI2022-6157026.006.jpg

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