Related Experiment Video
Updated: Dec 17, 2025

15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
22.9K
Using Diffusion-Weighted MRI to Predict Central Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Feasibility
Heng Zhang1, Shudong Hu1,2, Xian Wang2
1Department of Radiology, Affiliated Hospital, Jiangnan University, Wuxi, China.
Frontiers in Endocrinology
|June 30, 2020
Summary
Diffusion-weighted imaging (DWI) using apparent diffusion coefficients (ADCs) can predict central lymph node metastasis (CLNM) in papillary thyroid carcinoma (PTC). A nomogram incorporating ADC values offers effective preoperative risk evaluation for CLNM.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Papillary thyroid carcinoma (PTC) is a common endocrine malignancy.
- Accurate preoperative assessment of central lymph node metastasis (CLNM) is crucial for effective PTC management.
- Current diagnostic methods for CLNM may have limitations.
Purpose of the Study:
- To evaluate the efficacy of multi b-value diffusion-weighted imaging (DWI) as a quantitative tool for predicting CLNM in PTC.
- To assess the diagnostic performance of apparent diffusion coefficients (ADCs) derived from DWI.
- To develop a predictive model for CLNM risk in PTC patients.
Main Methods:
- Retrospective analysis of 214 PTC patients who underwent multi b-value DWI (b=300, 500, 800 s/mm²).
- Calculation of ADCs at different b-values and correlation with CLNM status.
- Logistic regression analysis to identify predictors of CLNM and construct a nomogram.
Main Results:
- Lower ADC values (ADC300, ADC500, ADC800) were significantly associated with CLNM.
- ADC500 demonstrated the highest diagnostic performance (AUC=0.817) for differentiating CLNM.
- A nomogram incorporating gender, tumor size, extrathyroidal extension, and ADC500 achieved an AUC of 0.894 for CLNM prediction.
Conclusions:
- Apparent diffusion coefficients (ADCs) from DWI are valuable noninvasive biomarkers for evaluating CLNM in PTC.
- The developed nomogram provides an effective preoperative tool for assessing CLNM risk in PTC patients.
Keywords:
diffusion magnetic resonance imagingfeasibility studieslymphatic metastasisnomogramsthyroid cancer
