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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Ultrasound-based diagnosis for solid thyroid nodules with the largest diameter <5 mm
Dong Wook Kim1, Yoo Jin Lee, Jae Wook Eom
1Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea. dwultra@lycos.co.kr
Ultrasound in Medicine & Biology
|April 9, 2013
Summary
Ultrasound (US) classification effectively aids in diagnosing small solid thyroid nodules. While US sensitivity is high, specificity is lower than cytology for these small nodules.
Area of Science:
- Endocrinology
- Radiology
- Oncology
Background:
- Accurate diagnosis of small solid thyroid nodules (<5 mm) is challenging.
- Ultrasound (US) is a primary imaging modality for thyroid nodules.
Purpose of the Study:
- To assess the efficacy of an ultrasound (US)-based classification system for diagnosing small solid thyroid nodules.
- To compare the diagnostic performance of US with fine-needle aspiration (FNA) cytology.
Main Methods:
- Prospective classification of 406 small solid nodules in 365 patients using a five-category US system.
- Comparison of US diagnosis with histopathologic results from 145 surgically removed nodules.
- Evaluation of diagnostic accuracy, sensitivity, specificity, and positive predictive values for both US and cytology.
Main Results:
- Diagnostic accuracies of US and cytology were similar for small solid nodules.
- US diagnosis demonstrated higher sensitivity but lower specificity and positive predictive values compared to cytology.
- Histopathology confirmed various thyroid pathologies including papillary thyroid carcinoma and nodular hyperplasia.
Conclusions:
- An US-based classification system shows promise for the diagnosis and management of small solid thyroid nodules.
- US can be a valuable tool, potentially complementing cytologic diagnosis in evaluating these small lesions.
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