Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma

OBJECTIVES: This study aimed to predict the 2025 American Thyroid Association (ATA) risk stratification of lymph node negative (N0) papillary thyroid carcinoma (PTC) patients using preoperative ultrasonic and cytological features to provide guidance for clinical treatment strategies. METHODS: In this multicenter, retrospective study, 500 N0 PTC patients who underwent total thyroidectomy with lymph node dissection were included across 2 institutions from September 2018 to February 2024. Patients were categorized into low, intermediate-high recurrence risk groups based on the 2025 ATA risk stratification system. Univariate logistic regression analysis was performed to assess the relationship between ultrasonic and cytological features and 2025 ATA risk stratification. Significant features (P < 0.05) were then incorporated into a multivariate logistic regression model to identify independent predictors of risk stratification. A Nomogram was constructed using predictors from the final multivariate logistic regression. RESULTS: Papillary like arrangement, Escape like arrangement, Nucleolus, Size, Echo, Margin, and Extracapsular extension (ECE) were identified as independent predictors of 2025 ATA risk stratification. A Nomogram model was developed based on these predictors, demonstrating good discrimination with a C-index of 0.799. The calibration curve further demonstrated excellent consistency between the predicted and actual preoperative 2025 ATA risk stratifications. Additionally, the Nomogram displayed a C-index of 0.778 in the testing cohort. CONCLUSIONS: Risk stratification in N0 PTC patients correlates with factors such as Papillary arrangement, Escape like arrangement, Nucleolus, Size, Echo, Margin, and ECE, emphasizing the necessity of closely monitoring patients presenting with these risk factors. Additionally, the Nomogram model integrating seven preoperative risk factors specifically tailored for solitary N0 PTC patients was devised, showcasing notable predictive accuracy for preoperative 2025 ATA risk stratification.

Authors

Institutions

Publication Details

Journal
BMC Medical Imaging
Published
2026-05-29
DOI
https://doi.org/10.1186/s12880-026-02472-3
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma

Xianjun Ye, Xiachuan Qin, Weihan Xiao, Fanding He et al.
BMC Medical Imaging
Thyroid Cancer Diagnosis and Treatment
article

Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma

Xianjun Ye, Xiachuan Qin, Weihan Xiao, Fanding He, Xiaoling Liu
article en

Abstract

OBJECTIVES: This study aimed to predict the 2025 American Thyroid Association (ATA) risk stratification of lymph node negative (N0) papillary thyroid carcinoma (PTC) patients using preoperative ultrasonic and cytological features to provide guidance for clinical treatment strategies. METHODS: In this multicenter, retrospective study, 500 N0 PTC patients who underwent total thyroidectomy with lymph node dissection were included across 2 institutions from September 2018 to February 2024. Patients were categorized into low, intermediate-high recurrence risk groups based on the 2025 ATA risk stratification system. Univariate logistic regression analysis was performed to assess the relationship between ultrasonic and cytological features and 2025 ATA risk stratification. Significant features (P < 0.05) were then incorporated into a multivariate logistic regression model to identify independent predictors of risk stratification. A Nomogram was constructed using predictors from the final multivariate logistic regression. RESULTS: Papillary like arrangement, Escape like arrangement, Nucleolus, Size, Echo, Margin, and Extracapsular extension (ECE) were identified as independent predictors of 2025 ATA risk stratification. A Nomogram model was developed based on these predictors, demonstrating good discrimination with a C-index of 0.799. The calibration curve further demonstrated excellent consistency between the predicted and actual preoperative 2025 ATA risk stratifications. Additionally, the Nomogram displayed a C-index of 0.778 in the testing cohort. CONCLUSIONS: Risk stratification in N0 PTC patients correlates with factors such as Papillary arrangement, Escape like arrangement, Nucleolus, Size, Echo, Margin, and ECE, emphasizing the necessity of closely monitoring patients presenting with these risk factors. Additionally, the Nomogram model integrating seven preoperative risk factors specifically tailored for solitary N0 PTC patients was devised, showcasing notable predictive accuracy for preoperative 2025 ATA risk stratification.

BMC Medical Imaging
North Sichuan Medical University (CN), University of Science and Technology of China (CN), University of Electronic Science and Technology of China (CN), Sichuan University (CN), West China Second University Hospital of Sichuan University (CN), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN), Chengdu Second People's Hospital (CN), Nanchong Central Hospital (CN)
Zero hunger
Openalex Percentile: Top 6%
Thyroid Cancer Diagnosis and Treatment
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.