Literature DB >> 26507699

Evaluation of Thyroid Nodules by a Scoring and Categorizing Method Based on Sonographic Features.

Shang-Yan Xu1, Wei-Wei Zhan1, Wen-Han Wang2.   

Abstract

OBJECTIVES: To assess sonographic features of thyroid nodules associated with malignancy and to establish a scoring and categorizing method based on sonographic features.
METHODS: A total of 2445 patients with 2445 thyroid nodules were included and divided into 2 groups: benign (1493 cases) and malignant (952 cases). First, 10 sonographic features, including shape, border, margin, internal content, echogenicity, microcalcifications, posterior echo, halo, vascularization distribution, and vascularization degree, were defined, and all nodules were retrospectively evaluated. Second, the features associated with malignancy were selected by statistical analysis and were assigned weightings according to their odds ratios. Third, a total score for each nodule was obtained after the assigned weightings of the suspicious features were summed. Fourth, the malignancy rate of each total score was calculated. Then a modified version of the Thyroid Imaging Reporting and Data System (TI-RADS) was established with reference to the American College of Radiology's Breast Imaging Reporting and Data System.
RESULTS: Seven independent features associated with malignancy were a taller-than-wide shape, an obscure border, an irregular margin, solid internal content, marked hypoechogenicity and hypoechogenicity, microcalcifications, and an internal vascularization distribution. The TI-RADS included 5 categories with different malignancy rates: category 3 (<2%), 4A (2%-5%), 4B (5%-50%), 4C (50%-90%), and 5 (≥ 90%).
CONCLUSIONS: A modified version of TI-RADS was established on the basis of the sonographic features with different weightings according to the relative risk of malignancy. This system could be of great use in predicting the nature of thyroid nodules in a quantified and standardized way and also helping clinicians decide on the clinical management.
© 2015 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  categorizing; head and neck ultrasound; sonography; thyroid nodule

Mesh:

Year:  2015        PMID: 26507699     DOI: 10.7863/ultra.14.11041

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


  12 in total

1.  CAD system based on B-mode and color Doppler sonographic features may predict if a thyroid nodule is hot or cold.

Authors:  Ali Abbasian Ardakani; Ahmad Bitarafan-Rajabi; Afshin Mohammadi; Sepideh Hekmat; Aylin Tahmasebi; Mohammad Bagher Shiran; Ali Mohammadzadeh
Journal:  Eur Radiol       Date:  2019-01-09       Impact factor: 5.315

2.  Computer-aided diagnosis of malignant or benign thyroid nodes based on ultrasound images.

Authors:  Qin Yu; Tao Jiang; Aiyun Zhou; Lili Zhang; Cheng Zhang; Pan Xu
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-04-07       Impact factor: 2.503

3.  Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination.

Authors:  Ting Xu; Ya Wu; Run-Xin Wu; Yu-Zhi Zhang; Jing-Yu Gu; Xin-Hua Ye; Wei Tang; Shu-Hang Xu; Chao Liu; Xiao-Hong Wu
Journal:  Endocrine       Date:  2018-11-24       Impact factor: 3.633

4.  Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.

Authors:  JianQiao Zhou; YanYan Song; WeiWei Zhan; Xi Wei; Sheng Zhang; RuiFang Zhang; Ying Gu; Xia Chen; Liying Shi; XiaoMao Luo; LiChun Yang; QiaoYing Li; BaoYan Bai; XinHua Ye; Hong Zhai; Hua Zhang; XiaoHong Jia; YiJie Dong; JingWen Zhang; ZhiFang Yang; HuiTing Zhang; Yi Zheng; WenWen Xu; LiMei Lai; LiXue Yin
Journal:  Endocrine       Date:  2020-08-27       Impact factor: 3.633

5.  Nomogram for the diagnosis of suspected papillary thyroid carcinomas based on sonographic patterns: a retrospective study.

Authors:  Li Liang; Jinhui Xie; Shulan Li; Jie Yang; Dongdong Chen; Nan Wang; Zubang Zhou
Journal:  Gland Surg       Date:  2019-08

6.  2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS.

Authors:  JianQiao Zhou; LiXue Yin; Xi Wei; Sheng Zhang; YanYan Song; BaoMing Luo; JianChu Li; LinXue Qian; LiGang Cui; Wen Chen; ChaoYang Wen; YuLan Peng; Qin Chen; Man Lu; Min Chen; Rong Wu; Wei Zhou; EnSheng Xue; YingJia Li; LiChun Yang; ChengRong Mi; RuiFang Zhang; Gang Wu; GuoQing Du; DaoZhong Huang; WeiWei Zhan
Journal:  Endocrine       Date:  2020-08-21       Impact factor: 3.633

7.  Diagnostic performance of US-based FNAB criteria of the 2020 Chinese guideline for malignant thyroid nodules: comparison with the 2017 American College of Radiology guideline, the 2015 American Thyroid Association guideline, and the 2016 Korean Thyroid Association guideline.

Authors:  Hui Zhu; Yan Yang; Senmin Wu; Kai Chen; Hongxia Luo; Jianle Huang
Journal:  Quant Imaging Med Surg       Date:  2021-08

8.  Ultrasonographic Findings in Patients with Benign and Malignant Thyroid Nodules who underwent Ultrasound Guided Fine Needle Aspiration Cytology.

Authors:  Venjamin Majstorov
Journal:  Open Access Maced J Med Sci       Date:  2015-11-26

9.  MiR-324-5p assists ultrasonography in predicting lymph node metastasis of unifocal papillary thyroid microcarcinoma without extracapsular spread.

Authors:  Yanhua Yang; Shujun Xia; Xiaofeng Ni; Zhongxin Ni; Lu Zhang; Wenhan Wang; Yanjun Kong; Yan Wang; Lei Ye; Weiwei Zhan
Journal:  Oncotarget       Date:  2017-07-31

10.  A French national breast and thyroid cancer screening programme for survivors of childhood, adolescent and young adult (CAYA) cancers - DeNaCaPST programme.

Authors:  Charlotte Demoor-Goldschmidt; Delphine Drui; Isabelle Doutriaux; Gérard Michel; Pascal Auquier; Agnès Dumas; Claire Berger; Valérie Bernier; Sandrine Bohrer; Pierre-Yves Bondiau; Bruno Filhon; Brice Fresneau; Claire Freycon; Dinu Stefan; Sylvie Helfre; Angela Jackson; Christine Kerr; Anne Laprie; Julie Leseur; Marc-André Mahé; Caroline Oudot; Claire Pluchard; Stéphanie Proust; Hélène Sudour-Bonnange; Céline Vigneron; Nathalie Lassau; Martin Schlumberger; Cécile Faure Conter; Florent de Vathaire
Journal:  BMC Cancer       Date:  2017-05-12       Impact factor: 4.430

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.