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Updated: Jan 22, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
A Cohort Analysis of Clinical and Ultrasound Variables Predicting Cancer Risk in 20,001 Consecutive Thyroid Nodules
Trevor E Angell1, Rie Maurer2, Zhihong Wang1,3
1Thyroid Section, Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Patient and nodule characteristics significantly impact thyroid cancer risk. Younger age, male sex, larger nodule size, and solid composition increase risk, while cystic content and multiple nodules decrease it.
Area of Science:
- Endocrinology
- Oncology
- Radiology
Background:
- Assessing thyroid nodules for malignancy is challenging.
- The influence of patient and nodule characteristics on cancer risk is not fully understood.
Purpose of the Study:
- To precisely estimate cancer risk based on clinical and sonographic variables during thyroid nodule assessment.
- To identify key factors influencing malignancy risk in thyroid nodules.
Main Methods:
- Analysis of 20,001 thyroid nodules from 9,967 adult patients undergoing ultrasound-guided fine-needle aspiration (1995-2017).
- Mixed-effect logistic regression used to calculate malignancy risk for patient and sonographic variables.
Main Results:
- Thyroid cancer was confirmed in 9.9% of nodules.
- Factors increasing malignancy risk include younger age (<52 years), male sex, larger nodule size (≥40 mm), and predominantly solid composition.
- Factors decreasing risk include cystic content and the presence of multiple nodules (≥4).
Conclusions:
- Patient and nodule characteristics provide a more accurate assessment of thyroid nodule malignancy risk.
- These findings enhance individualized patient care and risk stratification during routine evaluations.
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