Quantitative evaluation of diffusion-weighted MRI for differentiating benign and malignant thyroid nodules larger than 4 cm

Table 4 The diagnostic performance of models based on quantitative DWI parameters to identify malignant thyroid nodules

Approaches		Accuracy%	Sensitivity%	Specificity%	PPV%	NPV%	AUC	Unnecessary biopsy rate %
Prediction model (cutoff value = 0.198)		87.8	85.0	88.7	70.8	94.8	0.946 (0.896–0.996)	29.2
Combined thresholds	DWI_SIR (threshold value = 1.20)	93.9	75.0	100.0	100.0	92.5	0.875 (0.759–0.991)	0.0
	ADC_min (threshold value = 1.13 × 10^-3 mm²/s)	93.9	75.0	100.0	100.0	92.5	0.875 (0.759–0.991)	0.0
	DWI_SIR (threshold value = 1.20)	81.7	70.0	85.5	60.9	89.8	0.777 (0.648–0.907)	39.1
	ADC_SIR (threshold value = 1.25)	81.7	70.0	85.5	60.9	89.8	0.777 (0.648–0.907)	39.1
ACR-TIRADS (cutoff: TR ≥ 4)		77.8	66.7	77.8	43.8	90.0	0.722 (0.588–0.857)	56.3

Abbreviations: DWI Diffusion weighted imaging, ADC Apparent diffusion coefficient, PPV Positive predictive value, NPV Negative predictive value, AUC Area under the receiver operating characteristic curve, SD Standard deviation, SIR Signal intensity rate, ACR-TIRADS American College of Radiology Thyroid Imaging Reporting and Data System, TR TI-RADS

ISSN: 1471-2342