Diagnostic Nomogram Model for ACR TI‐RADS 4 Nodules Based on Clinical, Biochemical Data and Sonographic Patterns

The developed nomogram model effectively predicts the malignancy rate of TR4 thyroid nodules, demonstrating promising clinical applicability.

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Publication Details

Journal
Clinical Endocrinology
Published
2024-09-16
DOI
https://doi.org/10.1111/cen.15130
Citations
2
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.72

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article

Diagnostic Nomogram Model for ACR TI‐RADS 4 Nodules Based on Clinical, Biochemical Data and Sonographic Patterns

Wenhan Li, Jianhui Li, Yongheng Wang, Yao Tang et al.
2 citations
Clinical Endocrinology
Thyroid Cancer Diagnosis and Treatment
0.72
article

Diagnostic Nomogram Model for ACR TI‐RADS 4 Nodules Based on Clinical, Biochemical Data and Sonographic Patterns

Wenhan Li, Jianhui Li, Yongheng Wang, Yao Tang, Ziyu Luo
article en
2 citations

Abstract

The developed nomogram model effectively predicts the malignancy rate of TR4 thyroid nodules, demonstrating promising clinical applicability.

Clinical EndocrinologyVol. 102(1)
Shaanxi Provincial People's Hospital (CN)
Yakult Bio-Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 25%
Thyroid Cancer Diagnosis and Treatment
0.72
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