Evidence map›Paper›PMID 42908584›Full record

ArticleFrontiers in endocrinology2026

Size-dependent heterogeneity in the associations of C-TIRADS ultrasound features with malignancy in thyroid nodules.

Dongming Guo, Yonghua Xu, Xianying Liao, Haiqing Huang, Yuxia Zhai, Haitao Li, Zhihui Lin, Jiajia Wang, Zhe Chen

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dongming GuoDepartment of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yonghua XuDepartment of Interventional Ultrasound, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Xianying LiaoDepartment of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Haiqing HuangDepartment of Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Yuxia ZhaiDepartment of Ultrasound, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
Haitao LiDepartment of Thoracic Surgery, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Zhihui LinDepartment of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Jiajia WangDepartment of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.
Zhe ChenDepartment of Interventional Ultrasound, Cancer Hospital of Shantou University Medical College, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To investigate whether the associations between Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) ultrasound features and malignancy vary according to thyroid nodule size. Methods: This two-center retrospective cohort study included 3726 thyroid nodules, which were categorized according to maximum diameter as ≤1 cm or >1 cm. Extreme gradient boosting models and SHapley Additive exPlanations (SHAP) were used for exploratory visualization of the contributions of individual ultrasound features to malignancy prediction in the overall cohort and the two size subgroups. Multivariable Firth logistic regression was used to estimate the adjusted associations between the C-TIRADS features and malignancy. Single-feature interaction models were constructed to assess whether nodule size modified these associations. The discriminative performance of the original C-TIRADS model and the interaction model was compared using the area under the receiver operating characteristic curve (AUC). Center-adjusted sensitivity analyses were also performed. Results: Vertical orientation and solid composition showed greater contributions to malignancy prediction and stronger associations with malignancy in nodules ≤1 cm, whereas microcalcification and ill-defined/irregular margin or extrathyroidal extension showed stronger associations with malignancy in nodules >1 cm. Significant feature-by-size interactions were identified for vertical orientation, solid composition, microcalcification, and ill-defined/irregular margin or extrathyroidal extension, whereas no significant interactions were observed for markedly hypoechoic or comet-tail artifact. The interaction model showed a modest but statistically significant improvement in discriminative performance compared with the original C-TIRADS model (AUC 0.918 vs. 0.911, Conclusion: The associations between C-TIRADS ultrasound features and malignancy exhibit significant size-dependent heterogeneity. In nodules ≤1 cm, vertical orientation and solid composition may indicate a substantially higher likelihood of malignancy and therefore warrant particularly careful clinical evaluation, whereas microcalcification and ill-defined/irregular margin or extrathyroidal extension may be more informative for malignancy assessment in nodules >1 cm. Considering nodule size when interpreting individual C-TIRADS features may improve diagnostic discrimination.

Indexed as

Thyroid NeoplasmsThyroid NoduleAdultFemaleHumansMaleMiddle AgedRetrospective StudiesROC CurveUltrasonographyC-TIRADSheterogeneitymalignancy risknodule sizethyroid nodulesultrasonography

Identifiers

PMID42908584
PMCPMC13682995

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