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Predictive value of some ultrasound characteristics of thyroid nodules by using a mathematical model for analyzing ultrasound images.

机译:通过使用数学模型分析超声图像,可预测甲状腺结节某些超声特征的价值。

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Introduction Since the prevalence of thyroid nodules is high and ultrasound-guided fine-needle aspiration biopsy (FNAB) as a gold diagnostic standard cannot be performed in all cases, we aimed to evaluate the feasibility and applicability of simple graphical analysis of ultrasound two-dimensional images to identify patients with suspicious nodules who would benefit from FNAB.;Patients and methods In our prospective two-centre clinical study, we included 211 consecutive patients with thyroid nodules -- 122 from University Medical Centre (UMC) Maribor and 89 from University Medical Centre (UMC) Ljubljana who underwent ultrasound-guided FNAB from January 2011 to October 2013. The cytology report was descriptive and later categorized as benign or suspicious/malignant. Blind to cytology reports, we later performed graphical analysis of ultrasound images using Java based application for analyzing images (ImageJ), and compared them with cytology reports.;Results According to cytology reports, 24 thyroid nodules were suspicious/malignant and 187 benign. Graphical analysis of ultrasound images performed with ImageJ demonstrated significantly higher value of standard deviation (SD) of the gray values used to generate the mean gray value in suspicious/malignant thyroid nodules as compared to unsuspicious nodules in UMC Maribor as well as in UMC Ljubljana (p?0.001 and p=0.002, respectively). A higher value of the SD of gray value used to generate the mean gray value meant variation or dispersion from the average value and was correlated by the presence of micro-calcifications. By applying a cut-off level of the quotient between the SD value of an examined thyroid nodule and the SD value of normal/reference thyroid tissue of 1.20, we found that 21/24 nodules were classified as true cytologically positive and 114/187 as true cytologically negative for thyroid malignoma.;Conclusion A quantitative graphical analysis of ultrasound images enabled us with a negative predictive value of more than 90% to foresee which thyroid nodules were cytologically suspicious/malignant and needed further investigations. Graphical analysis of ultrasound images was proved to be a useful additional diagnostic tool and needs to be further evaluated.
机译:简介由于甲状腺结节的患病率很高,并且不能在所有情况下都进行超声引导的细针穿刺活检(FNAB)作为金诊断标准,因此我们旨在评估二维二维超声简单图形分析的可行性和适用性图像以识别可从FNAB中受益的可疑结节患者;患者和方法在我们的前瞻性两中心临床研究中,我们包括211例连续的甲状腺结节患者-122例来自大学医学中心(UMC)马里博尔,89例来自大学医学中心卢布尔雅那中心(UMC)从2011年1月至2013年10月接受超声引导的FNAB。细胞学报告具有描述性,后来被分类为良性或可疑/恶性。不了解细胞学报告,我们随后使用基于Java的图像分析应用程序(ImageJ)对超声图像进行图形分析,并将其与细胞学报告进行比较。;结果根据细胞学报告,有24个甲状腺结节可疑/恶性,187个为良性。用ImageJ进行的超声图像的图形分析表明,与可疑/恶性甲状腺结节中的平均灰度值相比,用于UMC Maribor和卢旺达UMC中的可疑结节的灰度值的标准差(SD)显着更高(分别为p≤0.001和p = 0.002。用于生成平均灰度值的灰度值的SD的较高值表示与平均值存在差异或分散,并且与微钙化的存在相关。通过在检查的甲状腺结节的SD值和正常/参考甲状腺组织的SD值之间的商的截断水平为1.20,我们发现21/24个结节被分类为真正的细胞学阳性,而114/187被分类为真正的细胞学阳性。结论超声图像的定量图形分析使我们的阴性预测值超过90%,可以预测哪些甲状腺结节在细胞学上可疑/恶变,需要进一步研究。超声图像的图形分析被证明是有用的附加诊断工具,需要进一步评估。

著录项

  • 作者

    Glogovsek, Martin.;

  • 作者单位

    Univerza v Mariboru (Slovenia).;

  • 授予单位 Univerza v Mariboru (Slovenia).;
  • 学科 Medicine.;Mathematics.;Medical imaging.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:46

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