Diagnostic Nomogram Model for American College of Radiology (ACR) TI‐RADS 4 Nodules Based on Clinical, Biochemical Data and Sonographic Patterns
Authors' conclusion
The developed nomogram model effectively predicts the malignancy rate of TR4 thyroid nodules, demonstrating promising clinical applicability.
Study context
- Population
- TR4 thyroid nodules with pathological diagnoses confirmed via fine-needle aspiration (FNA)
- Participants
- 1,557 participants
- Comparison
- Nomogram model vs ACR score model
- Outcome
- Prediction of malignancy of TR4 thyroid nodules
Methodological detailsnomogram
- Nomogram
Performance
As reported in the abstract
Prediction of malignancy
- Independent predictors of malignancy (8 of 22 variables): age, margin, extrathyroidal extension, halo, calcification, suspicious lymph node metastasis, aspect ratio, TPOAb
- Calibration curve demonstrated excellent performance; Decision curve analysis (DCA) indicated favourable clinical utility
- Nomogram superior to ACR score model: higher AUC, net reclassification improvement (NRI), integrated discrimination improvement (IDI), negative likelihood ratio (NLR) and positive likelihood ratio (PLR) values
Original publication
Diagnostic Nomogram Model for ACR TI‐RADS 4 Nodules Based on Clinical, Biochemical Data and Sonographic Patterns. Clin Endocrinol (Oxf). Published 16 September 2024. doi:10.
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