ArticleDigital health
Diagnosing postoperative lymph node metastasis in thyroid cancer with multimodal radiomics and clinical features.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Development of a clinically applicable prediction tool for lymph node metastasis in papillary thyroid carcinoma using lasso-logistic regression.BMC cancer · 2026Article
- Preoperative prediction of lymph node metastasis risk in papillary thyroid carcinoma based on multiple model comparisons.Scientific reports · 2025Article
- Machine learning models for diagnosing lymph node recurrence in postoperative PTC patients: a radiomic analysis.BMC cancer · 2025Article
- High-risk habitat radiomics model based on ultrasound images for predicting lateral neck lymph node metastasis in differentiated thyroid cancer.BMC medical imaging · 2025Article
- Nomogram to predict central lymph node metastasis in papillary thyroid carcinoma.Clinical & experimental metastasis · 2024Article
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aims to evaluate the diagnostic value of texture analysis for lymph node metastasis after thyroid cancer surgery. Methods: We retrospectively analyzed patients who underwent positron emission tomography/computed tomography (PET/CT) examination before Results: Follow-up confirmed 54 patients with thyroid cancer lymph node metastasis and 65 patients in the non-metastasis group. A total of 119 lymph nodes were delineated. For each lesion, 164 CT texture features and 164 PET texture features were extracted, and 107 significant parameters were identified, including 16 CT texture parameters and 91 PET texture parameters. After screening, 3 CT parameters, 4 PET parameters and 12 PET/CT parameters were selected to establish three radiomic models. The AUC values were as follows: AUC (CT) = 0.730, AUC (PET) = 0.759 and AUC (PET/CT) = 0.864. We then combined clinical features and radscore to construct a nomogram, resulting in a C-index of 0.915 in the training group. In the test group, the C-index was confirmed to be 0.868. Conclusions: Radiomics may enhance the diagnostic efficiency of lymph node metastases after thyroid cancer surgery and could potentially assist clinicians in future diagnoses. The developed nomogram, which combines radiomics and clinical features, offers relatively high accuracy in helping clinicians assess the risk of metastasis in thyroid patients after surgery.
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