A combination of risk stratification systems for thyroid nodules and cervical lymph nodes may improve the diagnosis and management of thyroid nodules
Cong-Ying Xu, Jing Yu, Yi-Yang Cui, Yuan-Jing Huang, Chao Fu, Ke-Fei Cui

TL;DR
Combining systems to assess thyroid nodules and lymph nodes improves cancer detection and reduces missed cases.
Contribution
Combining thyroid nodule and lymph node risk systems improves diagnostic accuracy and reduces missed malignancies.
Findings
Combining TN-RSS and LN-RSS increased diagnostic accuracy and reduced postponed malignancy rate.
EU-TIRADS showed higher sensitivity and lower PMR compared to K-TIRADS when combined with LN-RSS.
Combining systems may offer a new direction for detecting aggressive thyroid cancers.
Abstract
To assess the performance of the European Thyroid Association Thyroid Imaging and Reporting Data System (EU-TIRADS) and the Korean Thyroid Imaging Reporting and Data System (K-TIRADS), which combine risk stratification systems for thyroid nodules (TN-RSS) and cervical lymph nodes (LN-RSS) in diagnosing malignant and metastatic thyroid cancer in a single referral center. We retrospectively analyzed 2,055 consecutive patients who underwent thyroidectomy or fine-needle aspiration (FNA) from January 2021 to December 2022. TNs and LNs were categorized according to the ultrasonography (US) features of EU-TIRADS and K-TIRADS, respectively. The diagnostic performance and postponed malignancy rate (PMR) were compared with those of EU-TIRADS and K-TIRADS. PMR was defined as the number of patients with malignant nodules not recommended for biopsy among patients with cervical LN metastasis.…
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Taxonomy
TopicsThyroid Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging · Cervical Cancer and HPV Research
