ArticleScientific reports2017
Malignancy risk stratification of thyroid nodules: comparisons of four ultrasound Thyroid Imaging Reporting and Data Systems in surgically resected nodules.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparison of Diagnostic Performance of Five Different Ultrasound TI-RADS Classification Guidelines for Thyroid Nodules.Frontiers in oncology · 2020Pooled it
- Article
- The accuracy of fine-needle aspiration cytology and ultrasonography in assessing thyroid nodules in correlation with histopathology: a retrospective study.Annals of medicine and surgery (2012) · 2024Article
- Article
- Association between papillary thyroid carcinoma and cervical lymph node metastasis based on ultrasonic radio frequency signals.Cancer medicine · 2023Article
- Assessment of the statistical optimization strategies and clinical evaluation of an artificial intelligence-based automated diagnostic system for thyroid nodule screening.Quantitative imaging in medicine and surgery · 2023Article
- The use of modified TI-RADS using contrast-enhanced ultrasound features for classification purposes in the differential diagnosis of benign and malignant thyroid nodules: A prospective and multi-center study.Frontiers in endocrinology · 2023Article
- Comparison of contrast-enhanced ultrasound characteristics of inflammatory thyroid nodules and papillary thyroid carcinomas using a quantitative time-intensity curve: a propensity score matching analysis.Quantitative imaging in medicine and surgery · 2022Article
- Do ACR TI-RADS scores demonstrate unique thyroid molecular profiles?Ultrasonography (Seoul, Korea) · 2022Article
- The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules.Computational and mathematical methods in medicine · 2022Article
- Article
- Comparison of diagnostic performance of the ACR and Kwak TIRADS applying the ACR TIRADS' size thresholds for FNA.European radiology · 2021Article
- Evaluation of the Diagnostic Performance of EU-TIRADS in Discriminating Benign from Malignant Thyroid Nodules: A Prospective Study in One Referral Center.European thyroid journal · 2021Article
- Incremental diagnostic value of shear wave elastography combined with contrast-enhanced ultrasound in TI-RADS category 4a and 4b nodules.Journal of medical ultrasonics (2001) · 2020Article
- Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest.BioData mining · 2020Article
- Article
- The comparison of accuracy of ultrasonographic features versus ultrasound-guided fine-needle aspiration cytology in diagnosis of malignant thyroid nodules.Journal of ultrasound · 2019Article
- Preoperative charcoal suspension tattoo for the detection of differentiated thyroid cancer recurrence.Molecular and clinical oncology · 2019Article
- Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.World journal of surgical oncology · 2019Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To compare the efficiency of four different ultrasound (US) Thyroid Imaging Reporting and Data Systems (TI-RADS) in malignancy risk stratification in surgically resected thyroid nodules (TNs). The study included 547 benign TNs and 464 malignant TNs. US images of the TNs were retrospectively reviewed and categorized according to the TI-RADSs published by Horvath E et al. (TI-RADS H), Park et al. (TI-RADS P), Kwak et al. (TI-RADS K) and Russ et al. (TI-RADS R). The diagnostic performances for the four TI-RADSs were then compared. At multivariate analysis, among the suspicious US features, marked hypoechogenicity was the most significant independent predictor for malignancy (OR: 15.344, 95% CI: 5.313-44.313) (P < 0.05). Higher sensitivity was seen in TI-RADS H, TI-RADS K, TI-RADS R comparing with TI-RADS P (P < 0.05 for all), whereas the specificity, accuracy and area under the ROC curve (Az) of TI-RADS P were the highest (all P < 0.05). Higher specificity, accuracy and Az were seen in TI-RADS K compared with TI-RADS R (P = 0.003). With its higher sensitivity, TI-RADS K, a simple predictive model, is practical and convenient for the management of TNs in clinical practice. The study indicates that there is a good concordance between TI-RADS categories and histopathology.
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