Literature DB >> 26887447

Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Ga Ram Kim1, Eun-Kyung Kim1, Soo Jin Kim1, Eun Ju Ha1, Jaeheung Yoo1, Hye Sun Lee1, Jung Hwa Hong1, Jung Hyun Yoon1, Hee Jung Moon1, Jin Young Kwak2.   

Abstract

OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
METHODS: Three radiologists reviewed a total of 505 US images and classified the images according to the presence/existence of lymphocytic thyroiditis. After 2 months, each reviewer repeated the process with the same 505 images in a randomly mixed order. The intraobserver and interobserver variability was analyzed with a generalized κ value. Four histogram parameters (mean value, standard deviation, skewness, and kurtosis) were obtained, and an index was calculated from principal component analysis. Diagnostic performances were compared.
RESULTS: Of 505 patients, 125 (24.8%) had lymphocytic thyroiditis, and 380 (75.2%) had normal thyroid parenchyma on pathologic analysis. The κ value for intraobserver variance ranged from -0.002 to 0.781, and the overall κ values for interobserver variance were 0.570 and 0.214 in the first and second tests, respectively. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for the 3 reviewers versus the principal component analysis index were 28.0% to 83.2%, 43.7% to 82.6%, 53.5% to 79.0%, 24.6% to 56.2%, and 75.2% to 88.9% versus 58.4%, 72.4%, 68.9%, 41.0%, and 84.1%.
CONCLUSIONS: Histogram analysis of grayscale US images provided confirmable and quantitative information about lymphocytic thyroiditis and was comparable with performers' assessments in diagnostic performance.
© 2016 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  head and neck ultrasound; histogram analysis; lymphocytic thyroiditis; thyroid gland; ultrasound

Mesh:

Year:  2016        PMID: 26887447     DOI: 10.7863/ultra.15.04014

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  3 in total

1.  Value of Histogram of Gray-Scale Ultrasound Image in Differential Diagnosis of Small Triple Negative Breast Invasive Ductal Carcinoma and Fibroadenoma.

Authors:  Maolin Xu; Fang Li; Shaonan Yu; Shue Zeng; Gaolong Weng; Peihong Teng; Huimin Yang; Xuefeng Li; Guifeng Liu
Journal:  Cancer Manag Res       Date:  2022-04-21       Impact factor: 3.602

2.  Deep learning to diagnose Hashimoto's thyroiditis from sonographic images.

Authors:  Qiang Zhang; Sheng Zhang; Yi Pan; Lin Sun; Jianxin Li; Yu Qiao; Jing Zhao; Xiaoqing Wang; Yixing Feng; Yanhui Zhao; Zhiming Zheng; Xiangming Yang; Lixia Liu; Chunxin Qin; Ke Zhao; Xiaonan Liu; Caixia Li; Liuyang Zhang; Chunrui Yang; Na Zhuo; Hong Zhang; Jie Liu; Jinglei Gao; Xiaoling Di; Fanbo Meng; Linlei Zhang; Yuxuan Wang; Yuansheng Duan; Hongru Shen; Yang Li; Meng Yang; Yichen Yang; Xiaojie Xin; Xi Wei; Xuan Zhou; Rui Jin; Lun Zhang; Xudong Wang; Fengju Song; Xiangqian Zheng; Ming Gao; Kexin Chen; Xiangchun Li
Journal:  Nat Commun       Date:  2022-06-29       Impact factor: 17.694

3.  The Role of Real-Time Tissue Elastography and Gray-Scale Ultrasound Histogram Analysis in the Diagnosis of Patients With Sjögren's Syndrome.

Authors:  İlhan Sezer; İclal Erdem Toslak; Buket Yağci; Funda Erbasan; Ayşe Ayan; Uğur Karasu
Journal:  Arch Rheumatol       Date:  2019-03-28       Impact factor: 1.472

  3 in total

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