The widespread application of low-dose computed tomography (LDCT) has significantly increased the detection of pulmonary small nodules, while accurate prediction of their growth patterns is crucial to avoid overdiagnosis or underdiagnosis. This article reviews recent research advances in predicting pulmonary nodule growth based on CT imaging, with a focus on summarizing key factors influencing nodule growth, such as baseline morphological parameters, dynamic indicators, and clinical characteristics, traditional prediction models (exponential and Gompertzian models), and the applications and limitations of radiomics-based and deep learning models. Although existing studies have achieved certain progress in predicting nodule growth, challenges such as small sample sizes and lack of external validation persist. Future research should prioritize the development of personalized and visualized prediction models integrated with larger-scale datasets to enhance predictive accuracy and clinical applicability.
ObjectiveTo clarify the application value of thyroid organoids in basic research and clinical translation of thyroid diseases, analyze the key challenges currently faced, and prospect future development directions. MethodsRelevant domestic and international literatures in recent years were systematically searched. This review summarized the construction strategies of thyroid organoids, and their application progress in disease model establishment (e.g., thyroid cancer, Hashimoto thyroiditis), drug screening, and personalized treatment. ResultsThyroid organoids can highly simulate the morphological structure and gene expression profile of native thyroid tissue. In terms of disease modeling, they can accurately reproduce the pathological characteristics and immune microenvironment of thyroid diseases. In drug screening, organoids can predict the response to radioactive iodine therapy and the sensitivity to targeted drugs, with high consistency between their drug sensitivity results and clinical efficacy. In mechanism research, organoids have been successfully used to reveal the roles of abnormal mitogen-activated protein kinase/phosphatidylinositol 3 kinase-protein kinase B signaling pathways, epithelial-mesenchymal transition, ferroptosis, and immunoregulatory mechanisms in thyroid carcinogenesis and disease progression, providing experimental evidence for target identification. ConclusionsAs an in vitro model that highly simulates the in vivo environment, thyroid organoids have become an important platform for thyroid disease research. Although challenges remain in standardized construction and clinical translation, with technical optimization and research evidence accumulation, they hold broad prospects in the field of precision medicine.
