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[Radiomics for Prediction of Central Lymph Node Metastasis in the Neck in Patients with Thyroid Papillary Carcinoma]

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Specialty General Medicine
Date 2019 Oct 24
PMID 31640963
Citations 3
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Abstract

Objective: To explore the feasibility of radiomics for predicting lymph node metastasis in the central region of the neck in patients with thyroid papillary carcinoma (PTC).

Methods: A total of 189 patients with PTC confirmed by thyroid fine needle aspiration biopsy were prospectively enrolled in this study. The cross-sectional and longitudinal ultrasound images and the images of both sections were analyzed for predicting central lymph node metastasis using a radiomics approach with pathological results as the gold standard.

Results: In the 189 patients, the accuracy, sensitivity and specificity of preoperative thyroid ultrasonography for diagnosis of central lymph node metastasis was 69.39%, 64% and 73%, respectively. Based on the ultrasound images of the cross-sections, longitudinal sections and both sections, the accuracy, sensitivity and specificity of radiomics for predicting central lymph node metastasis was 66.06%/68.12%/77.69%, 53%/46%/40%, and 52%/53%/51%, respectively.

Conclusions: Radiomics with combined analysis of the ultrasound images on the cross-section and longitudinal section images achieves a higher accuracy for predicting central lymph node metastasis than analysis a single section, and its diagnostic accuracy is much higher than that of conventional ultrasound examination.

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The progress of radiomics in thyroid nodules.

Gao X, Ran X, Ding W Front Oncol. 2023; 13:1109319.

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Machine Learning: Applications and Advanced Progresses of Radiomics in Endocrine Neoplasms.

Wang Y, Zhang L, Qi L, Yi X, Li M, Zhou M J Oncol. 2021; 2021:8615450.

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