Table 2.

Bivariable Logistic Regression Analysis of the Odds of Thyroid Cancer and Reliability of Ultrasound Features

	All Nodules (n = 236)	Benign Nodules (n = 156)	Malignant Nodules (n = 80)	OR for Thyroid Cancer Diagnosis (95% CI)	Intrarater Variability, κ (P Value)	Interrater Variability, κ (P Value)
No. of nodules
One	94	57	37	0.77 (0.53–1.13)
Two	54	37	17
Three	88	62	26
Size (greatest dimension), cm
<1	65	50	15	1.78 (1.15–2.75)	1.0 (<0.001)	0.96 (<0.001)
1–4	155	97	58
>4	16	9	7
Nodule composition
>25% cystic	84	72	12	3.46 (1.96–6.09)	0.8 (<0.001)	0.79 (<0.001)
≤25% cystic	152	84	68
Echogenicity
Isoechoic	93	80	13	1.0	0.57 (<0.001)	0.19 (0.003)
Hypoechoic	87	47	40	3.69 (1.97–6.93)
Hyperechoic	35	19	16	3.99 (1.79–8.86)
Mixed hypoechoic and hyperechoic	16	6	10	4.91 (1.98–12.18)
Margins
Sharply defined/noninfiltrative	177	139	38	5.58 (2.79–11.18)	0.57 (<0.001)	0.34 (0.001)
Infiltrative/microlobular	58	17	41
Calcifications
Absent	165	133	32	6.85 (3.47–13.49)	0.86 (<0.001)	0.39 (0.002)
Present	70	22	48
Doppler flow
Absent	45	38	7	3.52 (1.24–10.01)	0.58 (<0.001)	0.77 (<0.001)
Increased	179	109	70
Taller than wide
Absent	203	140	63	2.22 (1.27–3.88)	0.58 (<0.001)	0.39 (0.002)
Present	33	16	17
Extrathyroidal extension
Absent	220	153	67	6.15 (2.39–15.86)	−0.03 (0.61)	0.4 (<0.001)
Present	16	3	13

Logistic regression was performed with adjustment for clustering of features within individuals.