Related Experiment Video
Updated: Aug 8, 2026
A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Relation between quantitative description of ultrasonographic image and clinical and laboratory findings in
Daniel Smutek1, Radim Sara, Petr Sucharda
13rd Department of Medicine, 1st Medical Faculty, Charles University Prague, 128 08 Praha 2, Czech Republic. smutek@cesnet.cz
Insights
Quantitative ultrasound imaging of the thyroid gland can predict thyroid antibodies and aid in thyroxine replacement therapy dosage. These B-mode image features offer valuable insights into chronic thyroid inflammation.
Area of Science:
- Medical Imaging
- Endocrinology
- Rheumatology
Background:
- Chronic thyroid inflammation, such as lymphocytic thyroiditis (LT), presents complex clinical and laboratory findings.
- B-mode ultrasound imaging offers a non-invasive method to assess thyroid gland structure.
Purpose of the Study:
- To investigate the relationship between quantitative B-mode ultrasound image features and clinical/laboratory findings in patients with chronic thyroid inflammation.
- To explore the potential of ultrasound image analysis for predicting thyroid antibody presence and guiding thyroxine therapy.
Main Methods:
- Analysis of B-mode ultrasound images from 65 patients with LT and 38 controls.
- Extraction of quantitative image features, including raw pixel values and texture analysis.
- Correlation of image features with clinical variables: thyroid antibodies, thyrotropin, thyroxine therapy, and body mass index (BMI).
Main Results:
- Significant differences in image features were observed based on BMI, thyroxine therapy status, and presence of thyroid antibodies in the LT group.
- Multiple regression analysis revealed correlations between image features and BMI, thyroxine dose, and levels of anti-thyroglobulin and anti-thyroperoxidase antibodies.
Conclusions:
- Quantitative ultrasound image features of the thyroid gland show potential as predictors for thyroid antibody presence.
- Ultrasound-derived indicators may serve as an auxiliary tool for optimizing thyroxine replacement therapy dosage.
Objective:
Relations between measurable properties of B-mode ultrasound images of thyroid gland and clinical and laboratory findings in patients with chronic inflammation of thyroid gland were studied.
Methods:
Data from 65 patients with lymphocytic thyroiditis (LT) and 38 control subjects were analysed. Raw values of individual B-mode image pixels and standard co-occurrence second-order texture features were selected as quantitative image features. Thyroid antibodies, thyrotropin level, thyroxine replacement therapy, and body mass index were used as clinical variables.
Results:
In the LT group, significant differences (t-tests, p<0.05) in image features were found for body mass indices (BMI) under and over 25 kg.m(-2), for thyroxine replacement therapy, and for the presence and absence of thyroid antibodies. Forward stepwise multiple regression was performed for the clinical or laboratory values as dependent variables and image features as independent variables. The following correlations were found: 1. between BMI and four image features in the normal group; 2. between the dose of thyroxine replacement therapy and two of image features in the LT group; and 3. for the level of thyroid antibodies in the LT group: five image features have correlated with the level of anti-thyroglobulin and three image features with level of anti-thyroperoxidase.
Conclusion:
These findings suggest the possibility of using quantitative indicators of ultrasound image of thyroid gland as predictors of the presence or absence of thyroid antibodies in patient's blood or as an auxiliary tool for dose recommendation of thyroxine replacement therapy.
More Related Videos
07:25Ultrasonographic Evaluation of Salivary Glands for Sjogren's Syndrome: Diagnostic and Monitoring Insights
Published on: October 13, 2023
05:41Synchronous Triplanar Reconstruction Integrated with Color Doppler Mapping for Precise and Rapid Localization of Thyroid Lesions
Published on: February 9, 2024
