Literature DB >> 28338469

The utility of thyroid ultrasonography in the management of thyroid nodules.

Gary Gamme1, Tyler Parrington1, Edward Wiebe1, Sunita Ghosh1, Brendan Litt1, David C Williams1, Todd P W McMullen1.   

Abstract

BACKGROUND: Ultrasonography for thyroid nodules is one of the most common imaging tests performed in the general population. Details from ultrasound reports guide biopsies and surgery. This study quantifies the completeness of these reports based on Thyroid Imaging and Reporting System (TI-RADS) criteria and considers their utility in predicting malignant disease.
METHODS: We retrospectively reviewed ultrasound reports for 329 thyroidectomy patients and extracted data elements using the TI-RADS criteria: nodule size, echogenicity, margins, vascularity, solid/cystic composition and the presence or absence of microcalcifications and the halo sign. We assessed the reports to determine whether individual or multiple criteria were associated with malignancy.
RESULTS: More than 97% of reports document nodule size; however, more than 90% of the reports noted only 3 or fewer of the 6 remaining TI-RADS criteria. The presence of microcalcifications was the most sensitive marker of malignancy (> 90%), whereas the documentation of irregular margins was the most specific indicator of malignancy (88%). Overall it was clear that microcalcifications, hypoechogenicity, irregular margins and solid nodules were significantly more likely to be found in malignant neoplasms; their absence predicted benign disease. Because so few reports consistently documented all criteria, the overall ability of thyroid ultrasonography to discriminate between lowerand higher-risk nodules is limited.
CONCLUSION: Although the accuracy of thyroid ultrasonography is good, few ultrasound reports contain the necessary information, as defined by TI-RADS, to predict malignancy and guide management. When reported, microcalcifications and/or irregular margins are the best predictors of malignancy.

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Year:  2017        PMID: 28338469      PMCID: PMC5373728          DOI: 10.1503/cjs.010316

Source DB:  PubMed          Journal:  Can J Surg        ISSN: 0008-428X            Impact factor:   2.089


  33 in total

1.  Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS).

Authors:  Shih-Ping Cheng; Jie-Jen Lee; Jiun-Lu Lin; Shih-Ming Chuang; Ming-Nan Chien; Chien-Liang Liu
Journal:  Head Neck       Date:  2012-04-19       Impact factor: 3.147

2.  The predictive value of ultrasound findings in the management of thyroid nodules.

Authors:  C Cappelli; M Castellano; I Pirola; D Cumetti; B Agosti; E Gandossi; E Agabiti Rosei
Journal:  QJM       Date:  2006-12-17

3.  Prospective validation of an ultrasound-based thyroid imaging reporting and data system (TI-RADS) on 3980 thyroid nodules.

Authors:  Jing Zhang; Bo-Ji Liu; Hui-Xiong Xu; Jun-Mei Xu; Yi-Feng Zhang; Chang Liu; Jian Wu; Li-Ping Sun; Le-Hang Guo; Lin-Na Liu; Xiao-Hong Xu; Shen Qu
Journal:  Int J Clin Exp Med       Date:  2015-04-15

4.  Anthropometric Factors and Thyroid Cancer Risk by Histological Subtype: Pooled Analysis of 22 Prospective Studies.

Authors:  Cari M Kitahara; Marjorie L McCullough; Silvia Franceschi; Sabina Rinaldi; Alicja Wolk; Gila Neta; Hans Olov Adami; Kristin Anderson; Gabriella Andreotti; Laura E Beane Freeman; Leslie Bernstein; Julie E Buring; Francoise Clavel-Chapelon; Lisa A De Roo; Yu-Tang Gao; J Michael Gaziano; Graham G Giles; Niclas Håkansson; Pamela L Horn-Ross; Vicki A Kirsh; Martha S Linet; Robert J MacInnis; Nicola Orsini; Yikyung Park; Alpa V Patel; Mark P Purdue; Elio Riboli; Kimberly Robien; Thomas Rohan; Dale P Sandler; Catherine Schairer; Arthur B Schneider; Howard D Sesso; Xiao-Ou Shu; Pramil N Singh; Piet A van den Brandt; Elizabeth Ward; Elisabete Weiderpass; Emily White; Yong-Bing Xiang; Anne Zeleniuch-Jacquotte; Wei Zheng; Patricia Hartge; Amy Berrington de González
Journal:  Thyroid       Date:  2016-02       Impact factor: 6.568

Review 5.  Synoptic pathology reporting for thyroid cancer: a review and institutional experience.

Authors:  Elaine Lam; Nguyen Vy; Chris Bajdik; Scott S Strugnell; Blair Walker; Sam M Wiseman
Journal:  Expert Rev Anticancer Ther       Date:  2013-09       Impact factor: 4.512

6.  Diagnostic performance of gray-scale US and elastography in solid thyroid nodules.

Authors:  Hee Jung Moon; Ji Min Sung; Eun-Kyung Kim; Jung Hyun Yoon; Ji Hyun Youk; Jin Young Kwak
Journal:  Radiology       Date:  2012-03       Impact factor: 11.105

7.  An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management.

Authors:  Eleonora Horvath; Sergio Majlis; Ricardo Rossi; Carmen Franco; Juan P Niedmann; Alex Castro; Miguel Dominguez
Journal:  J Clin Endocrinol Metab       Date:  2009-03-10       Impact factor: 5.958

Review 8.  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

9.  Incidence of differentiated thyroid cancer in Canada by City of residence.

Authors:  Martin J Corsten; Matthew Hearn; James Ted McDonald; Stephanie Johnson-Obaseki
Journal:  J Otolaryngol Head Neck Surg       Date:  2015-09-15

Review 10.  The effects of implementing synoptic pathology reporting in cancer diagnosis: a systematic review.

Authors:  Caro E Sluijter; Luc R C W van Lonkhuijzen; Henk-Jan van Slooten; Iris D Nagtegaal; Lucy I H Overbeek
Journal:  Virchows Arch       Date:  2016-04-21       Impact factor: 4.064

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  9 in total

1.  Thyroid Ultrasound Reports: Deficiencies and Recommendations.

Authors:  Laila Qadan; Adel Ahmed; Kusum Kapila
Journal:  Med Princ Pract       Date:  2019-02-10       Impact factor: 1.927

2.  Thyroid Ultrasound Reports: Will the Thyroid Imaging, Reporting, and Data System Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?

Authors:  Kallie J Chen; Priya H Dedhia; Joseph R Imbus; David F Schneider
Journal:  J Surg Res       Date:  2020-08-13       Impact factor: 2.192

3.  The analysis of differential diagnosis of benign and malignant thyroid nodules based on ultrasound reports.

Authors:  Shumei Miao; Mang Jing; Rongrong Sheng; Dai Cui; Shan Lu; Xin Zhang; Shenqi Jing; Xiaoliang Zhang; Tao Shan; Hongwei Shan; Tingyu Xu; Bing Wang; Zhongmin Wang; Yun Liu
Journal:  Gland Surg       Date:  2020-06

4.  Bibliometric analysis of research on thyroid ultrasonography.

Authors:  Juan Su; Guanghui Gao; Hongxia Xu
Journal:  Gland Surg       Date:  2021-12

5.  Pattern of Thyroid Lesions in Western Region of Saudi Arabia: A Retrospective Analysis and Literature Review.

Authors:  Muhammad I Saeed; Amal Ali Hassan; Muhammad Ejaz Butt; Khalid Ali Baniyaseen; Muhammad I Siddiqui; Neda M Bogari; Faisal A Al-Allaf; Mohiuddin M Taher
Journal:  J Clin Med Res       Date:  2017-12-30

6.  H-scan analysis of thyroid lesions.

Authors:  Gary R Ge; Rosa Laimes; Joseph Pinto; Jorge Guerrero; Himelda Chavez; Claudia Salazar; Roberto J Lavarello; Kevin J Parker
Journal:  J Med Imaging (Bellingham)       Date:  2018-02-07

7.  Effectiveness evaluation of computer-aided diagnosis system for the diagnosis of thyroid nodules on ultrasound: A systematic review and meta-analysis.

Authors:  Wan-Jun Zhao; Lin-Ru Fu; Zhi-Mian Huang; Jing-Qiang Zhu; Bu-Yun Ma
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

8.  Accuracy of Ultrasound Diagnosis of Thyroid Nodules Based on Artificial Intelligence-Assisted Diagnostic Technology: A Systematic Review and Meta-Analysis.

Authors:  Yu Xue; Ying Zhou; Tingrui Wang; Huijuan Chen; Lingling Wu; Huayun Ling; Hong Wang; Lijuan Qiu; Dongqing Ye; Bin Wang
Journal:  Int J Endocrinol       Date:  2022-09-23       Impact factor: 2.803

9.  Thyroid Nodule Management: Thyroid-Stimulating Hormone, Ultrasound, and Cytological Classification System for Predicting Malignancy.

Authors:  Mohamed Abdulaziz Al Dawish; Asirvatham Alwin Robert; Mohammed A Thabet; Rim Braham
Journal:  Cancer Inform       Date:  2018-03-19
  9 in total

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