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Updated: Feb 8, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Malignancy risk of initially benign thyroid nodules: validation with various Thyroid Imaging Reporting and Data
Su Min Ha1, Jung Hwan Baek2, Young Jun Choi3
1Department of Radiology and Thyroid Center, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, 06973, Korea.
One thyroid nodule biopsy is sufficient for benign diagnoses. Utilizing Thyroid Imaging Reporting and Data System (TIRADS) guidelines helps determine if imaging surveillance is appropriate, avoiding unnecessary repeat biopsies for low-suspicion nodules.
Area of Science:
- Endocrinology
- Radiology
- Oncology
Background:
- Repeated biopsy of benign thyroid nodules offers limited diagnostic benefit.
- Integration of Thyroid Imaging Reporting and Data System (TIRADS) guidelines with initial biopsy for benign thyroid nodule diagnosis has not been previously detailed.
Purpose of the Study:
- Investigate malignancy rates and probabilities in initially biopsy-proven benign thyroid nodules using various stratification systems.
- Determine the clinical relevance of these systems in managing benign thyroid nodules.
Main Methods:
- Retrospective analysis of 2747 thyroid nodules from 6493 patients with initial biopsy and over 1 year of follow-up.
- Calculated malignancy probability using Korean-TIRADS, ATA guideline, French-TIRADS, and web-based TIRADS risk stratification systems.
Main Results:
- Overall thyroid malignancy rate was 8.3%.
- Initially benign nodules with "low suspicion" (K-TIRADS, ATA) or "very probably benign" (French-TIRADS) showed ≤3.0% malignancy probability.
- Low-suspicion nodules by various TIRADS guidelines had low malignancy probability.
Conclusions:
- A single biopsy is sufficient for initially benign thyroid nodules.
- Imaging surveillance is recommended for benign nodules with low suspicion and low malignancy probability based on TIRADS guidelines.
- Repetitive biopsy is reserved for nodules with imaging-pathology mismatch, enabling personalized management.
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