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Ha SM, Ahn HS, Baek JH, Ahn HY, Chung YJ, Cho BY, Park SB. Validation of Three Scoring Risk-Stratification Models for Thyroid Nodules. Thyroid 2017; 27:1550-1557. [PMID: 29108488 DOI: 10.1089/thy.2017.0363] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND To minimize potential harm from overuse of fine-needle aspiration, Thyroid Imaging Reporting and Data Systems (TIRADSs) were developed for thyroid nodule risk stratification. The purpose of this study was to perform validation of three scoring risk-stratification models for thyroid nodules using ultrasonography features, a web-based malignancy risk-stratification system, and a model developed by the Korean Society of Thyroid Radiology and the American College of Radiology. METHODS Using ultrasonography images, radiologists assessed thyroid nodules according to the following criteria: internal content, echogenicity of the solid portion, shape, margin, and calcifications. A total of 954 patients (Mage = 50.8 years; range 13-86 years) with 1112 nodules were evaluated at the authors' institute from January 2013 to December 2014. The discrimination ability of the three models was assessed by estimating the area under the receiver operating characteristic curve. Additionally, Hosmer-Lemeshow goodness-of-fit statistics (calibration ability) were used to evaluate the agreement between the observed and expected number of nodules that were benign or malignant. RESULTS Thyroid malignancy was present in 37.2% (414/1112) of nodules. According to the 14-point web-based scoring risk-stratification system, malignancy risk ranged from 4.5% to 100.0% and was positively associated with an increase in risk scores. The areas under the receiver operating characteristic curve of the validation set were 0.884 in the web-based model, 0.891 in the Korean Society of Thyroid Radiology model, and 0.875 in the American College of Radiology model. The Hosmer-Lemeshow goodness-of-fit test indicated that the web-based scoring system showed the best-calibrated result, with a p-value of 0.078. CONCLUSION The three scoring risk-stratification models using the ultrasonography features of thyroid nodules to stratify malignancy risk showed acceptable predictive accuracy and similar areas under the curve. The web-based scoring system demonstrated the strongest agreement in calibration ability analysis. The easily accessible automated web-based scoring risk-stratification system may overcome the complexity of the various Thyroid Imaging Reporting and Data System guidelines and provide simplified guidance on personalized and optimal management in real practice.
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Affiliation(s)
- Su Min Ha
- 1 Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
| | - Hye Shin Ahn
- 1 Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
| | - Jung Hwan Baek
- 2 Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine , Asan Medical Center, Seoul, Korea
| | - Hwa Young Ahn
- 3 Department of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
| | - Yun Jae Chung
- 3 Department of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
| | - Bo Youn Cho
- 3 Department of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
| | - Sung Bin Park
- 1 Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine , Seoul, Korea
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Shin JH, Baek JH, Chung J, Ha EJ, Kim JH, Lee YH, Lim HK, Moon WJ, Na DG, Park JS, Choi YJ, Hahn SY, Jeon SJ, Jung SL, Kim DW, Kim EK, Kwak JY, Lee CY, Lee HJ, Lee JH, Lee JH, Lee KH, Park SW, Sung JY. Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J Radiol 2016; 17:370-95. [PMID: 27134526 PMCID: PMC4842857 DOI: 10.3348/kjr.2016.17.3.370] [Citation(s) in RCA: 650] [Impact Index Per Article: 72.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Accepted: 01/22/2016] [Indexed: 12/13/2022] Open
Abstract
The rate of detection of thyroid nodules and carcinomas has increased with the widespread use of ultrasonography (US), which is the mainstay for the detection and risk stratification of thyroid nodules as well as for providing guidance for their biopsy and nonsurgical treatment. The Korean Society of Thyroid Radiology (KSThR) published their first recommendations for the US-based diagnosis and management of thyroid nodules in 2011. These recommendations have been used as the standard guidelines for the past several years in Korea. Lately, the application of US has been further emphasized for the personalized management of patients with thyroid nodules. The Task Force on Thyroid Nodules of the KSThR has revised the recommendations for the ultrasound diagnosis and imaging-based management of thyroid nodules. The review and recommendations in this report have been based on a comprehensive analysis of the current literature and the consensus of experts.
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Affiliation(s)
- Jung Hee Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Jin Chung
- Department of Radiology, Ewha Womans University School of Medicine, Seoul 07985, Korea
| | - Eun Joo Ha
- Department of Radiology, Ajou University School of Medicine, Suwon 16499, Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Young Hen Lee
- Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan 15355, Korea
| | - Hyun Kyung Lim
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul 04401, Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea
| | - Dong Gyu Na
- Department of Radiology, Human Medical Imaging and Intervention Center, Seoul 06524, Korea
| | - Jeong Seon Park
- Department of Radiology, Hanyang University College of Medicine, Hanyang University Hospital, Seoul 04763, Korea
| | - Yoon Jung Choi
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea
| | - Soo Yeon Hahn
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Se Jeong Jeon
- Department of Radiology, Wonkwang University Hospital, Iksan 54538, Korea
| | - So Lyung Jung
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea
| | - Dong Wook Kim
- Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan 47392, Korea
| | - Eun-Kyung Kim
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Jin Young Kwak
- Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Chang Yoon Lee
- Department of Radiology, Research Institute and Hospital, National Cancer Center, Goyang 10408, Korea
| | - Hui Joong Lee
- Department of Radiology, Kyungpook National University Hospital, Daegu 41944, Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Korea
| | - Joon Hyung Lee
- Department of Radiology, Dong-A University Medical Center, Busan 49201, Korea
| | - Kwang Hui Lee
- Department of Radiology, Newwoori Namsan Hospital, Busan 46224, Korea
| | - Sun-Won Park
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul 07061, Korea
| | - Jin Young Sung
- Department of Radiology and Thyroid Center, Daerim St. Mary's Hospital, Seoul 07442, Korea
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