Evidence map›Paper›PMID 42724081›Full record

ArticleFrontiers in medicine2026

Nomogram integrating BRAF V600E, serum biomarkers, and ultrasound features for malignancy risk stratification in C-TIRADS category 3 and 4 thyroid nodules.

Yu Gao, Wenran Zhang, Jingmin Li, Jiaqing Dou

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Article in Frontiers in medicine, 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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5 · Who and what money

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4 authors.

Yu GaoDepartment of Endocrinology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Wenran ZhangDepartment of Endocrinology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Jingmin LiDepartment of Endocrinology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Jiaqing DouDepartment of Endocrinology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For patients with C-TIRADS 3 or 4 nodules who have undergone fine-needle aspiration cytology (FNAC), subsequent management decisions remain challenging, especially when cytological results are discordant with imaging findings or indeterminate. We built a nomogram incorporating BRAF V600E, serum biomarkers, and ultrasound features to provide an individualized risk estimate of malignancy for these nodules. Methods: We retrospectively included 300 patients with C-TIRADS 3 or 4 nodules. All nodules were confirmed by postoperative pathology or cytology. Among these, 76 were malignant and 224 benign. After running LASSO regression with 10-fold cross-validation and applying the 1-standard error rule to select core predictors, we built the nomogram using Firth-penalized logistic regression. Internal validity was checked using bootstrap resampling with 1,000 iterations while the model's performance was evaluated using ROC curves, calibration (Hosmer-Lemeshow test, Brier score) and decision curve analysis (DCA). The additional predictive value beyond the C-TIRADS system was measured by the Net Reclassification Index (NRI) and the Integrated Discrimination Improvement (IDI). Results: Five independent predictors were finally selected: BRAF V600E mutation (OR = 36.455, 95% CI: 13.381-118.094), TgAb positivity (OR = 4.808, 95% CI: 2.289-10.486), microcalcifications (OR = 4.168, 95% CI: 1.880-9.424), aspect ratio > 1 (OR = 3.027, 95% CI: 1.285-7.115), and serum VEGF (per 100 pg/mL increase, OR = 3.798, 95% CI: 1.763-8.677). Each predictor was independently associated with malignancy (all Conclusion: The nomogram demonstrated good discriminative performance in C-TIRADS 3 or 4 nodules, supporting its utility as a post-FNAC decision aid.

Indexed as

BRAF V600E mutationC-TIRADSnomogramrisk stratificationthyroid nodulevascular endothelial growth factor

Identifiers

PMID42724081
PMCPMC13558111

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.