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Updated: Aug 31, 2025
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Clinical detection of "extremely low-risk" follicular thyroid carcinoma: A population-based study of 7304 patients
Minh-Khang Le1, Toru Odate1, Huy Gia Vuong2
1Department of Pathology University of Yamanashi Yamanashi Japan.
Background:
Previous studies have not been consistent in the risk of metastasis in follicular thyroid carcinoma (FTC). Therefore, we conducted a large population study to stratify the risk of distant metastasis in FTC patients using only clinical parameters.
Methods:
We extracted FTC patients from The Surveillance, Epidemiology, and End Results (SEER) database and divided them into training and validation cohorts.
Results:
The two cohorts consisted of 4913 and 2391 patients, respectively. We developed a nomogram and risk table based on a logistic regression model using algorithm-selected variables. Receiver Operating Characteristic (ROC) analyses showed high discriminatory power in the training and validation cohorts (Area under the curve [AUC] of 0.85 and 0.84, respectively). Extremely low, low, intermediate, and high-risk groups had 0.3%, 1%, 3.5%, and 16.7% risk of distant metastasis, respectively.
Conclusions:
Our risk scoring table can separates patients into four risk groups and efficiently detect patients with almost no risk of metastasis.
