Enhancing Thyroid Nodule Characterization: Integrating TI-RADS With Ultrasound Viscosity Imaging for Improved Diagnostic Accuracy

S1-Vmax demonstrates superior diagnostic performance as a viscosity-based parameter for thyroid nodule characterization. The integration of TI-RADS with USVI significantly enhances the differentiation accuracy between benign and malignant thyroid nodules, providing a clinically actionable tool for risk stratification.

Authors

Institutions

Publication Details

Journal
Ultrasound in Medicine & Biology
Published
2025-08-10
DOI
https://doi.org/10.1016/j.ultrasmedbio.2025.07.019
Citations
1
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Thyroid Nodule Characterization: Integrating TI-RADS With Ultrasound Viscosity Imaging for Improved Diagnostic Accuracy

Yue Qin, Zhidong Xuan, Lin Wang, Mengting Xu et al.
1 citations
Ultrasound in Medicine & Biology
Thyroid Cancer Diagnosis and Treatment
1.29
article

Enhancing Thyroid Nodule Characterization: Integrating TI-RADS With Ultrasound Viscosity Imaging for Improved Diagnostic Accuracy

Yue Qin, Zhidong Xuan, Lin Wang, Mengting Xu, Cai Chang, Xiran Qian
article en
1 citations

Abstract

S1-Vmax demonstrates superior diagnostic performance as a viscosity-based parameter for thyroid nodule characterization. The integration of TI-RADS with USVI significantly enhances the differentiation accuracy between benign and malignant thyroid nodules, providing a clinically actionable tool for risk stratification.

Ultrasound in Medicine & BiologyVol. 51(11)
Cangzhou Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 16%
Thyroid Cancer Diagnosis and Treatment
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.