Development and optimisation strategies for a nomogram-based predictive model of malignancy risk in thyroid nodules

An optimised C-TIRADS model that integrates imaging features of thyroid nodules with clinical risk factors may aid radiologists in improving the diagnostic efficiency and clinical utility of the TIRADS classification.

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Publication Details

Journal
Hong Kong Medical Journal
Published
2026-01-30
DOI
https://doi.org/10.12809/hkmj2512718
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and optimisation strategies for a nomogram-based predictive model of malignancy risk in thyroid nodules

Zhou Zou, Yuan Zou, Qin Chen, Shan Peng et al.
Hong Kong Medical Journal
Thyroid Cancer Diagnosis and Treatment
article

Development and optimisation strategies for a nomogram-based predictive model of malignancy risk in thyroid nodules

Zhou Zou, Yuan Zou, Qin Chen, Shan Peng, Hongmei Yuan, Yu Liang, Peng He, Bo Ren
article en

Abstract

An optimised C-TIRADS model that integrates imaging features of thyroid nodules with clinical risk factors may aid radiologists in improving the diagnostic efficiency and clinical utility of the TIRADS classification.

Hong Kong Medical JournalVol. 32(1)
North Sichuan Medical University (CN), University of Electronic Science and Technology of China (CN), Affiliated Hospital of North Sichuan Medical College (CN)
Openalex Percentile: Top 73%
Thyroid Cancer Diagnosis and Treatment
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