Literature DB >> 32088739

Pattern-based vs. score-based guidelines using ultrasound features have different strengths in risk stratification of thyroid nodules.

Jung Hyun Yoon1, Hye Sun Lee2, Eun-Kyung Kim1, Hee Jung Moon1, Vivian Youngjean Park1, Jin Young Kwak3.   

Abstract

OBJECTIVE: To evaluate and compare the diagnostic performances between recently published pattern-based and score-based TIRADS according to the experience level of the performer.
METHODS: From July 2013 to January 2019, 8657 thyroid nodules in 8364 patients that had been cytopathologically diagnosed as benign or malignant were included (mean size, 22.0 mm ± 12.1). Thyroid nodules were categorized into US-based final assessment categories and US-FNA indications of five recently published TIRADS. Radiologists performing the US examinations were divided into the experienced vs. inexperienced group. Diagnostic performances and unnecessary biopsy rates were calculated and compared between the five TIRADS, also the experienced vs. inexperienced group.
RESULTS: Of the 8657 thyroid nodules, 6706 (77.5%) were benign and 1951 (22.5%) were malignant. Diagnostic performances for US-based final assessment categories showed higher sensitivity and NPV for EU-TIRADS (92.7% and 96.5%), while Kwak-TIRADS had higher specificity, PPV, accuracy, and AUC (89.6%, 68.0%, 86.5%, and 0.878; all p < 0.05, respectively). Diagnostic performances for US-FNA indications showed higher sensitivity and NPV for KTA/KSThR TIRADS (98.5% and 97.0%), while Kwak-TIRADS had higher specificity, PPV, accuracy, and AUC (70.3%, 46.6%, 74.5%, and 0.797; all p < 0.05, respectively). Unnecessary biopsy rates were the lowest in Kwak-TIRADS for both US categories and US-FNA indications (32.0% and 53.4%, p < 0.001). Similar trends were seen in both the experienced and inexperienced group.
CONCLUSION: The currently published score-based guidelines for thyroid nodules have significantly higher specificity, PPV, accuracy, and AUC and lower unnecessary biopsy rates, whereas pattern-based guidelines have higher sensitivity and NPV, regardless of the level of experience of the performer. KEY POINTS: • For US-based final assessment categories, EU-TIRADS had higher sensitivity and NPV, while Kwak-TIRADS had higher specificity, PPV, accuracy, and AUC. • For US-FNA indications, KTA/KSThR TIRADS had higher sensitivity and NPV, while Kwak-TIRADS had higher specificity, PPV, accuracy, and AUC. • Similar trends were seen in diagnostic performances for both experienced and inexperienced groups.

Entities:  

Keywords:  Fine-needle aspiration; Neoplasm; Thyroid; Thyroid Imaging Reporting And Data System; Ultrasonography

Mesh:

Year:  2020        PMID: 32088739     DOI: 10.1007/s00330-020-06722-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  5 in total

1.  A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features.

Authors:  Xavier M Keutgen; Hui Li; Kelvin Memeh; Julian Conn Busch; Jelani Williams; Li Lan; David Sarne; Brendan Finnerty; Peter Angelos; Thomas J Fahey; Maryellen L Giger
Journal:  J Med Imaging (Bellingham)       Date:  2022-05-26

2.  Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists.

Authors:  G R Kim; E Lee; H R Kim; J H Yoon; V Y Park; J Y Kwak
Journal:  AJNR Am J Neuroradiol       Date:  2021-05-13       Impact factor: 4.966

3.  Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: An experience with adjusted settings.

Authors:  Nonhlanhla Chambara; Shirley Y W Liu; Xina Lo; Michael Ying
Journal:  PLoS One       Date:  2021-01-15       Impact factor: 3.240

4.  Nomogram Combining Radiomics With the American College of Radiology Thyroid Imaging Reporting and Data System Can Improve Predictive Performance for Malignant Thyroid Nodules.

Authors:  Xingzhi Huang; Zhenghua Wu; Aiyun Zhou; Xiang Min; Qi Qi; Cheng Zhang; Songli Chen; Pan Xu
Journal:  Front Oncol       Date:  2021-10-13       Impact factor: 6.244

5.  Explore the Diagnostic Efficiency of Chinese Thyroid Imaging Reporting and Data Systems by Comparing With the Other Four Systems (ACR TI-RADS, Kwak-TIRADS, KSThR-TIRADS, and EU-TIRADS): A Single-Center Study.

Authors:  Qi Qi; Aiyun Zhou; Suping Guo; Xingzhi Huang; Songli Chen; Yaohui Li; Pan Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-27       Impact factor: 5.555

  5 in total

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