Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules

The integration of clinical and US features in the construction of the diagnostic model can significantly enhance the diagnosis of TIRADS 4 thyroid nodules and provide a reliable evaluation tool for clinical practice.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-05-29
DOI
https://doi.org/10.3389/fendo.2025.1550034
Citations
2
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.59

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article

Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules

Jun Hu, Yunle Wang, Xian Du, Yong Jiang et al.
2 citations
Frontiers in Endocrinology
Thyroid Cancer Diagnosis and Treatment
2.59
article

Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules

Jun Hu, Yunle Wang, Xian Du, Yong Jiang, Lijuan Yang
article en
2 citations

Abstract

The integration of clinical and US features in the construction of the diagnostic model can significantly enhance the diagnosis of TIRADS 4 thyroid nodules and provide a reliable evaluation tool for clinical practice.

Frontiers in EndocrinologyVol. 16
Shanghai Medical Information Center (CN)
Shanghai Municipal Health Commission
Openalex Percentile: Top 10%
Thyroid Cancer Diagnosis and Treatment
2.59
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