ArticleEuropean radiology2022
Performance of current ultrasound-based malignancy risk stratification systems for thyroid nodules in patients with follicular neoplasms.
Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Diagnostic performance of C-TIRADS in malignancy risk stratification of thyroid nodules: A systematic review and meta-analysis.Frontiers in endocrinology · 2022Pooled it
- Development and validation of a nomogram to predict cancer-specific survival in elderly patients with papillary thyroid carcinoma: a population-based study.BMC geriatrics · 2022Trial
- Ultrasound-based follow-up of low-suspicion thyroid nodules with cytopathologic confirmation: is nodule growth associated with malignancy?Ultrasonography (Seoul, Korea) · 2026Article
- Shear wave elastography combined with fine-needle aspiration biopsy in the diagnosis of China Thyroid Imaging Reporting and Data System category 4 thyroid nodules.Gland surgery · 2026Article
- Theranostic Potentials of Metallic Nanoparticles in Thyroid Diseases: Challenges and Prospects.International journal of nanomedicine · 2026Review
- Independent predictors and ultrasound-based risk stratification for follicular thyroid tumors: a multicenter retrospective study.World journal of surgical oncology · 2025Article
- A practical ultrasound-based risk stratification system for differentiating follicular thyroid carcinoma and adenoma.Gland surgery · 2025Article
- Prospective Validation of an Ultrasound Capsule-Based Model for Predicting Follicular Thyroid Carcinoma Without High-Risk Features.Cancer medicine · 2025Article
- Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.Scientific reports · 2025Article
- Multimodal ultrasound radiomics model combined with clinical model for differentiating follicular thyroid adenoma from carcinoma.BMC medical imaging · 2025Article
- Contrast-enhanced ultrasound combined with shear wave elastography in the diagnosis of C-TIRADS category 4 thyroid nodules.Quantitative imaging in medicine and surgery · 2025Article
- Can ACR TI-RADS predict the malignant risk of medullary thyroid cancer?Journal of clinical & translational endocrinology · 2025Article
- Article
- Enhancing diagnostic accuracy of American College of Radiology TI-RADS 4 nodules: nomogram models based on MRI morphological features.Quantitative imaging in medicine and surgery · 2025Article
- Ultrasound radiomics-based machine learning models for risk stratification of follicular thyroid tumors.Frontiers in oncology · 2025Article
- Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI.Journal of imaging informatics in medicine · 2024Article
- Diagnostic significance of ultrasound characteristics in discriminating follicular thyroid carcinoma from adenoma.BMC medical imaging · 2024Article
- Diagnostic value of an interpretable machine learning model based on clinical ultrasound features for follicular thyroid carcinoma.Quantitative imaging in medicine and surgery · 2024Article
- Preoperative prediction of central lymph node metastasis in follicular variant of papillary thyroid carcinoma using clinical and ultrasound features.Gland surgery · 2024Article
- CT-based quantification of trachea shape to detect invasion by thyroid cancer.European radiology · 2024Article
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8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTo investigate the ability of the currently used ultrasound-based malignancy risk stratification systems for thyroid neoplasms (ATA, AACE/ACE/AME, K-TIRADS, EU-TIRADS, ACR-TIRADS and C-TIRADS) in distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA). Additionally, we evaluated the ability of these systems in correctly determining the indication for biopsy.
methodsThree hundred twenty-nine follicular neoplasms with definitive postoperative histopathology were included. The nodules were categorized according to each of six stratification systems, based on ultrasound findings. We dichotomized nodules into the positive predictive group of FTC (high and intermediate risk) and negative group of FTC based on the classification results. Missed biopsy was defined as neoplasms that were diagnosed as FTCs but for which biopsy was not indicated based on lesion classification. Unnecessary biopsy was defined as neoplasms that were diagnosed as FTAs but for whom biopsy was considered indicated based on classification. The diagnostic performance and missed and unnecessary biopsy rates were evaluated for each stratification system.
resultsThe area under the curve of each system for distinguishing follicular neoplasms was < 0.700 (range, 0.511-0.611). The missed biopsy rates were 9.0-22.4%. The missed biopsy rates for lesions ≤ 4 cm and lesions sized 2-4 cm were 16.2-35.1% and 0-20.0%, respectively. Unnecessary biopsy rates were 65.3-93.1%. In ≤ 4 cm group, the unnecessary biopsy rates were 62.2-89.7%.
conclusionThe malignancy risk stratification systems can select appropriate nodules for biopsy in follicular neoplasms, while they have limitations in distinguishing follicular neoplasms and reducing unnecessary biopsy. Specific stratification systems and recommendations should be established for follicular neoplasms. KEY POINTS: • Current ultrasound-based malignancy risk stratification systems of thyroid nodules had low efficiency in the characterization of follicular neoplasms. • The adopted stratification systems showed acceptable performance for selecting FTC for biopsy but unsatisfactory performance for reducing unnecessary biopsy.
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