To develop a radiomics model using nonenhanced CT to predict the presence of hidden papillary thyroid carcinoma (PTC) in patients with Hashimoto's thyroiditis (HT), highlighting the importance of early detection.
Key Findings:
A total of 130 patients were included in the study after applying exclusion criteria.
The developed radiomics model showed improved detection rates of PTC in the presence of HT compared to traditional methods, with specific percentages to illustrate the improvement.
Interpretation:
The radiomics model effectively identifies hidden PTCs in HT patients, potentially reducing missed diagnoses and improving patient management, emphasizing its clinical relevance.
Limitations:
Retrospective design may introduce selection bias.
The study was conducted at two hospitals, which may limit generalizability.
Potential biases in feature selection should be acknowledged.
Conclusion:
The nonenhanced CT radiomics model enhances the detection of PTC in patients with HT, suggesting a valuable tool for clinical decision-making and future research directions.
