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A subregional prediction model for radiation-induced hypothyroidism
Wenting Ren1, Ziqi Pan1, Kuo Men1
1Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
BMC Medical Imaging
|March 4, 2025
Summary
A new subregional model accurately predicts radiation-induced hypothyroidism (RHT) by analyzing thyroid subregions and radiation dose. This approach offers improved thyroid function protection in radiotherapy planning.
Area of Science:
- Radiotherapy
- Medical Imaging
- Endocrinology
Background:
- Radiation-induced hypothyroidism (RHT) is a potential complication of radiotherapy.
- Understanding the relationship between thyroid subregions, radiation dose, and RHT is crucial for treatment planning.
Purpose of the Study:
- To develop a subregional prediction model for RHT.
- To compare the performance of a subregional model against a whole-thyroid model.
- To evaluate the radiosensitivity of different thyroid subregions.
Main Methods:
- Retrospective analysis of CT and dose images from 128 nasopharyngeal carcinoma patients.
- Thyroid subregions identified using voxel clustering and entropy.
- Extraction of radiomics and dosiomics features for model development and analysis.
Main Results:
- A subregional RHT prediction model was built using 34 features.
- The subregional model demonstrated significantly superior prediction performance (AUC 0.813) compared to the whole thyroid model (AUC 0.624).
- Subregional analysis indicated varying radiosensitivity, with regions S1 and S3 potentially being more radiosensitive than S2.
Conclusions:
- A novel subregion-based model for predicting RHT was successfully established.
- The study provides insights into the radiosensitivity of specific thyroid subregions.
- This subregion-based approach can enhance radiotherapy planning for improved thyroid function preservation.
