ArticleBMC medical imaging2023
Preoperative prediction of extrathyroidal extension: radiomics signature based on multimodal ultrasound to papillary thyroid carcinoma.
Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 10 citations in OpenAlex.
- Preoperative prediction of extrathyroidal extension in papillary thyroid carcinoma: a nomogram integrating dual-plane ultrasound-based radiomics and clinical features.Gland surgery · 2026Article
- Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.Journal of imaging informatics in medicine · 2026Article
- A multimodal study on predicting extrathyroidal extension of papillary thyroid carcinoma based on radiopathomics.BMC endocrine disorders · 2026Article
- Combined clinicopathological and ultrasonographic features for predicting extrathyroidal extension in thyroid cancer.Quantitative imaging in medicine and surgery · 2026Article
- Diagnostic performance of ultrasonography in predicting extrathyroidal extension in papillary thyroid carcinoma.BMC medical imaging · 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
- MRI-based model to predict preoperative extrathyroidal extension in papillary thyroid carcinoma.European radiology · 2025Article
- Prediction model for extrathyroidal extension in thyroid papillary carcinoma based on ultrasound radiomics.Scientific reports · 2025Article
- Impact of Ultrasonographic Features Indicative of Malignancy on Tumor Advancement in Thyroid Cancer-A Single-Center Study.Cancers · 2025Article
- Ultrasound feature-based nomogram model for predicting extrathyroidal extension in papillary thyroid carcinoma.BMC cancer · 2025Article
- Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study.BMC medical imaging · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a recognized need for additional approaches to improve the accuracy of extrathyroidal extension (ETE) diagnosis in papillary thyroid carcinoma (PTC) before surgery. Up to now, multimodal ultrasound has been widely applied in disease diagnosis. We investigated the value of radiomic features extracted from multimodal ultrasound in the preoperative prediction of ETE.
methodsWe retrospectively pathologically confirmed PTC lesions in 235 patients from January 2019 to April 2022 in our hospital, including 45 ETE lesions and 205 non-ETE lesions. MaZda software was employed to obtain radiomics parameters in multimodal sonography. The most valuable radiomics features were selected by the Fisher coefficient, mutual information, probability of classification error and average correlation coefficient methods (F + MI + PA) in combination with the least absolute shrinkage and selection operator (LASSO) method. Finally, the multimodal model was developed by incorporating the clinical records and radiomics features through fivefold cross-validation with a linear support vector machine algorithm. The predictive performance was evaluated by sensitivity, specificity, accuracy, F1 scores and the area under the receiver operating characteristic curve (AUC) in the training and test sets.
resultsA total of 5972 radiomics features were extracted from multimodal sonography, and the 13 most valuable radiomics features were selected from the training set using the F + MI + PA method combined with LASSO regression. The multimodal prediction model yielded AUCs of 0.911 (95% CI 0.866-0.957) and 0.716 (95% CI 0.522-0.910) in the cross-validation and test sets, respectively. The multimodal model and radiomics model showed good discrimination between ETE and non-ETE lesions.
conclusionRadiomics features based on multimodal ultrasonography could play a promising role in detecting ETE before surgery.
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