ArticleBMC surgery2020
Using ultrasound features and radiomics analysis to predict lymph node metastasis in patients with thyroid cancer.
Article in BMC surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.
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53 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.
- Prediction of cervical lymph node metastasis in differentiated thyroid cancer based on radiomics models.The British journal of radiology · 2024Pooled it
- Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study.BMC medicine · 2024Trial
- Article
- Prediction of lymph node metastasis in cN0 papillary thyroid carcinoma using a random forest-based radiomics model integrating contrast-enhanced ultrasound and clinical data.Frontiers in oncology · 2026Article
- Non-invasive multi-phase CT artificial intelligence for predicting pre-treatment enlarged lymph node status in colorectal cancer: a prospective validation study.European radiology · 2025Article
- Predicting multigenic co-mutations in differentiated thyroid cancer using contrast-enhanced ultrasonography: model development and internal validation.Ultrasonography (Seoul, Korea) · 2025Article
- Targeting syndecan-2 inhibits papillary thyroid cancer invasiveness and de-differentiation.BMC endocrine disorders · 2025Article
- Development and Validation of a Computed Tomography-based Radiomics Nomogram for Diagnosing Cervical Lymph Node Metastasis in Oropharyngeal Squamous Cell Carcinomas.Advances in radiation oncology · 2025Article
- Random Forest-Based Detection of Metastases in Clinically Scanned Lymph Nodes Using Quantitative Ultrasound Imaging.Ultrasound in medicine & biology · 2025Article
- Identification and validation of a novel lymph node metastasis-related model for papillary thyroid carcinoma to predict the prognosis.Gland surgery · 2025Article
- Impact of Ultrasonographic Features Indicative of Malignancy on Tumor Advancement in Thyroid Cancer-A Single-Center Study.Cancers · 2025Article
- The value of ultrasonographic scoring method and nomogram in assessing cervical lymph node metastasis of papillary thyroid carcinoma.Thyroid research · 2025Article
- Diagnostic value of preoperative advanced doppler imaging with cervical maneuvers in the detection of central cervical lymph node metastasis in papillary thyroid carcinoma.BMC medical imaging · 2025Article
- Prediction of contralateral central lymph node metastasis in unilateral papillary thyroid carcinoma based on radiomics.Scientific reports · 2025Article
- Attenuation Estimation and Acoustic Characterization of Mouse Lymph Node Tumor Using High-frequency Ultrasound.Molecular imaging and biology · 2025Article
- A risk stratification model based on ultrasound radiologic features for cervical metastatic lymph nodes in papillary thyroid cancer.World journal of surgical oncology · 2025Article
- Hydrogel-driven innovations for targeted delivery, immune modulation, and tissue repair in thyroid cancer therapy.Frontiers in cell and developmental biology · 2025Review
- Development and validation of a collagen signature to predict central lymph node metastasis in papillary thyroid cancer.Frontiers in endocrinology · 2025Article
- CT-based texture analysis predicts BRAFFrontiers in oncology · 2025Article
- AI-based multimodal prediction of lymph node metastasis and capsular invasion in cT1N0M0 papillary thyroid carcinoma.Frontiers in endocrinology · 2025Article
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9 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLymph node metastasis (LNM) is an important factor for thyroid cancer patients' treatment and prognosis. The aim of this study was to explore the clinical value of ultrasound features and radiomics analysis in predicting LNM in thyroid cancer patients before surgery.
methodsThe characteristics of ultrasound images of 150 thyroid nodules were retrospectively analysed. All nodules were confirmed as thyroid cancer. Among the assessed patients, only one hundred and twenty-six patients underwent lymph node dissection. All patients underwent an ultrasound examination before surgery. In the radiomic analysis, the area of interest was identified from selected ultrasound images by using ITK-SNAP software. The radiomic features were extracted by using Ultrosomics software. Then, the data were classified into a training set and a validation set. Hypothetical tests and bagging were used to build the model. The diagnostic performance of different ultrasound features was assessed, a radiomic analysis was conducted, and a receiver operating characteristic (ROC) curve analysis was performed to explore the diagnostic accuracy.
resultsRegarding the prediction of LNM, the ROC curves showed that the area under the curve (AUC) values of an irregular shape and microcalcification were 0.591 (P = 0.059) and 0.629 (P = 0.007), respectively. In the radiomics analysis, in the training set, the AUC value of LNM was 0.759, with a sensitivity of 0.90 and a specificity of 0.860. In the verification set, the AUC was 0.803, with a sensitivity of 0.727 and a specificity of 0.800.
conclusionsMicrocalcification and an irregular shape are predictors of LNM in thyroid carcinoma patients. In addition, radiomics analysis has promising value in screening meaningful ultrasound features in thyroid cancer patients with LNM. Therefore, the prediction of LNM based on ultrasound features and radiomic features is useful for making appropriate decisions regarding surgery and interventions before thyroid carcinoma surgery.
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