ArticleCancers2021
Sonographic Features Differentiating Follicular Thyroid Cancer from Follicular Adenoma-A Meta-Analysis.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 43 citations in OpenAlex.
- Preliminary machine-learning model with clinical, US, and CEUS features for the diagnosis of thyroid follicular-patterned lesions.BMC medical imaging · 2026Article
- A vision-language foundation model improves preoperative diagnosis of follicular thyroid neoplasms using ultrasound images.NPJ precision oncology · 2026Article
- Dynamic Predictors for Malignancy Risk of Follicular Thyroid Neoplasms: A Real-World, 10-Year Cohort Study.Cancer medicine · 2026Article
- Preoperative diagnostic accuracy of thyroid follicular carcinoma using fluorine-18-fluorodeoxyglucose-positron emission tomography/computed tomography and blood data.Annals of nuclear medicine · 2026Article
- Clinicopathological Significance of Ultrasound Risk Features and the Taller-Than-Wide Sign for Tumor Advancement in Differentiated Thyroid Cancer: A Single-Center Analysis.Cancer management and research · 2026Article
- 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
- Article
- Ultrasound-based classification of follicular thyroid Cancer using deep convolutional neural networks with transfer learning.Scientific reports · 2025Article
- Routine Blood Tests as Predictive Tools for Differentiating Follicular Thyroid Carcinoma From Follicular Adenoma.International journal of general medicine · 2025Article
- Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI.Journal of imaging informatics in medicine · 2024Article
- Role of clinicopathologic and sonographic characteristics for the management of patients with cytological diagnosis of thyroid follicular neoplasm.Gland surgery · 2024Article
- Diagnostic significance of ultrasound characteristics in discriminating follicular thyroid carcinoma from adenoma.BMC medical imaging · 2024Article
- Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Article
- Development and validation of a predictive model for assessing the risk of follicular carcinoma in thyroid nodules identified as suspicious by intraoperative frozen section.Frontiers in endocrinology · 2024Article
- Ultrasound characteristics of follicular and parafollicular thyroid neoplasms: diagnostic performance of artificial neural network.Thyroid research · 2023Article
- Article
- Design and analysis of high-sensitivity tunable graphene sensors for cancer detection.Optical and quantum electronics · 2023Article
- Cancer Diagnosis Using Terahertz-Graphene-Metasurface-Based Biosensor with Dual-Resonance Response.Nanomaterials (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Certain ultrasound features are associated with an increased risk of thyroid malignancy. However, they were studied mainly in papillary thyroid cancers (PTCs); these results cannot be simply extrapolated for the differentiation of follicular thyroid adenomas and cancers (FTAs and FTCs). The aim of our study was to perform a meta-analysis to identify sonographic features suggesting malignancy in the case of follicular lesions, potentially differentiating FTA and FTC. We searched thirteen databases from January 2006 to December 2020 to find all relevant, full-text journal articles written in English. Analyses assessed the accuracy of malignancy detection in case of follicular lesions, potentially differentiating FTA and FTC included the odds ratio (OR), sensitivity, specificity, positive and negative predictive values. A random-effects model was used to summarize collected data. Twenty studies describing sonographic features of 10,215 nodules met the inclusion criteria. The highest overall ORs to increase the risk of malignancy were calculated for tumor protrusion (OR = 10.19; 95% confidence interval: 2.62-39.71), microcalcifications or mixed type of calcifications (coexisting micro and macrocalcifications): 6.09 (3.22-11.50), irregular margins: 5.11 (2.90-8.99), marked hypoechogenicity: 4.59 (3.23-6.54), and irregular shape: 3.6 (1.19-10.92). The most crucial feature associated with an increased risk of FTC is capsule protrusion, followed by the presence of calcifications, irrespectively of their type.
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Registered trials
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