Ultrasound-Based Risk Stratification System for the Assessment of Partially Cystic Thyroid Nodules
Authors' conclusion
Our findings demonstrated that the risk stratification system for the assessment of PCTNs showed good prediction capacities.
Study context
- Population
- Patients with partially cystic thyroid nodules (PCTNs) at 2 medical centers in Hangzhou, January 2020 to December 2021
- Participants
- 285 patients301 PCTNs
- Comparison
- Training data set vs External validation data set
- Outcome
- Prediction of malignancy in PCTNs
Methodological detailsretrospective, 2 medical centers, nomogram with external validation
- Retrospective
- 2 medical centers
- Nomogram with external validation
Performance
As reported in the abstract
Nomogram performance for malignancy
| Test or model | AUC | Sensitivity | Specificity |
|---|---|---|---|
| Training data set | 0.860 | 77.1% | 84.7% |
| External validation data set | 0.897 | 91.7% | 87.0% |
AUC
Training data set0.860
External validation data set0.897
Sensitivity
Training data set77.1%
External validation data set91.7%
Specificity
Training data set84.7%
External validation data set87.0%
- Best nomogram total point cut-off to predict malignancy
- >161
Further findings
Nodule pathology
- Benign PCTNs
- 242
- Malignant PCTNs
- 59
Original publication
Ultrasound-Based Risk Stratification System for the Assessment of Partially Cystic Thyroid Nodules. Endocr Pract. Published 31 March 2023. doi:10.
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