Literature DB >> 22396935

The diagnostic efficiency of ultrasound in characterization for thyroid nodules: how many criteria are required to predict malignancy?

Alper Ozel1, Sukru Mehmet Erturk, Alkin Ercan, Banu Yılmaz, Tulay Basak, Vito Cantisani, Muzaffer Basak, Zeki Karpat.   

Abstract

OBJECTIVE: The purpose of this study was to define the criteria for use in differentiating benign and malignant nodules with the help of the receiver operating characteristic analysis and to increase the objective diagnostic accuracy of ultrasonography.
MATERIALS AND METHODS: A total of 363 patients (307 women, 56 men) with 363 nodules (22 malignant and 341 benign nodules) were included in the study. The presence and absence of each US feature of the evaluated nodule - shape taller than wide, irregular margin, hypoechogenicity, microcalcification, and intranodular vascularity - were scored 1 and 0, respectively. The total ultrasound score was obtained by the summing up of each positive ultrasound findings for malignancy. The effect of the total US score in the discrimination of benign and malignant nodules was analysed using ROC analysis.
RESULTS: The cut off values of US score at maximum sensitivity and specificity for nodules larger and smaller than one centimeter were two (Az: 0.783) and three (Az: 0.935), respectively. For nodules greater than one centimeter, the calculated diagnostic performances including sensitivity, specificity, positive predictive value and negative predictive value, and accuracy were 62.5%, 91.5%, 30.3%, 97.7%, and 89,9%, respectively. For nodules smaller or equal to one centimeter; the sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 83.3%, 94.9%, 62.5%, 98.2% and 93.8%, respectively.
CONCLUSION: Using ultraound, thyroid nodules can be characterized effectively. The number of the US features used in this distinction varies in respect to the nodule size.

Entities:  

Mesh:

Year:  2012        PMID: 22396935

Source DB:  PubMed          Journal:  Med Ultrason        ISSN: 1844-4172            Impact factor:   1.611


  16 in total

1.  Evaluation of diagnostic efficacy of ultrasound scoring system to select thyroid nodules requiring fine needle aspiration biopsy.

Authors:  Afshin Mohammadi; Tohid Hajizadeh
Journal:  Int J Clin Exp Med       Date:  2013-09-01

2.  Ultrasound-Based Risk Stratification for Malignancy in Thyroid Nodules: A Four-Tier Categorization System.

Authors:  Hyobin Seo; Dong Gyu Na; Ji-Hoon Kim; Kyung Won Kim; Ji Won Yoon
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

3.  Malignancy is associated with microcalcification and higher AP/T ratio in ultrasonography, but not with Hashimoto's thyroiditis in histopathology in patients with thyroid nodules evaluated as Bethesda Category III (AUS/FLUS) in cytology.

Authors:  Oya Topaloglu; Husniye Baser; Fatma Neslihan Cuhaci; Nuran Sungu; Abdussamed Yalcin; Reyhan Ersoy; Bekir Cakir
Journal:  Endocrine       Date:  2016-05-12       Impact factor: 3.633

4.  Ultrasonographic risk factors of malignancy in thyroid nodules.

Authors:  A Rios; B Torregrosa; J M Rodríguez; D Rodríguez; A Cepero; M D Abellán; N M Torregrosa; A M Hernández; P Parrilla
Journal:  Langenbecks Arch Surg       Date:  2016-06-04       Impact factor: 3.445

Review 5.  The accuracy of thyroid nodule ultrasound to predict thyroid cancer: systematic review and meta-analysis.

Authors:  Juan P Brito; Michael R Gionfriddo; Alaa Al Nofal; Kasey R Boehmer; Aaron L Leppin; Carl Reading; Matthew Callstrom; Tarig A Elraiyah; Larry J Prokop; Marius N Stan; M Hassan Murad; John C Morris; Victor M Montori
Journal:  J Clin Endocrinol Metab       Date:  2013-11-25       Impact factor: 5.958

6.  DIAGNOSTIC VALUE OF DUPLEX DOPPLER ULTRASOUND PARAMETERS IN PAPILLARY THYROID CARCINOMA.

Authors:  A Aslan; S Sancak; M Aslan; E Ayaz; I Inan; S S Ozkanli; O Alimoğlu; A Yıkılmaz
Journal:  Acta Endocrinol (Buchar)       Date:  2018 Jan-Mar       Impact factor: 0.877

7.  In Reply to: Fine Needle Aspiration.

Authors:  Ali-Reza Ehsanbakhsh; Amin Saburi
Journal:  Trauma Mon       Date:  2014-01-25

8.  A model to discriminate malignant from benign thyroid nodules using artificial neural network.

Authors:  Lu-Cheng Zhu; Yun-Liang Ye; Wen-Hua Luo; Meng Su; Hang-Ping Wei; Xue-Bang Zhang; Juan Wei; Chang-Lin Zou
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

9.  External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.

Authors:  Ridong Wu; Liling Zhu; Wen Li; Qing Tang; Fushun Pan; Weibin Wu; Jie Liu; Chen Yao; Shenming Wang
Journal:  PLoS One       Date:  2013-06-04       Impact factor: 3.240

10.  Thyroid nodules with macrocalcification: sonographic findings predictive of malignancy.

Authors:  Yun Joo Park; Jeong-Ah Kim; Eun Ju Son; Ji Hyun Youk; Eun-Kyung Kim; Jin Young Kwak; Cheong Soo Park
Journal:  Yonsei Med J       Date:  2014-03       Impact factor: 2.759

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.