Research Article

A Nomogram to Predict Benign/Malignant Mediastinal Lymph Nodes Based on EBUS Sonographic Features

Table 4

Ultrasound image features for predicting malignant lymph nodes in the training and validation sets.

CharacteristicsTotal (n = 1082)Training set (n = 760)Validation set (n = 322) value

Long-axis (median [IQR])2.000 [1.500, 2.770]2.000 [1.500, 2.752]2.000 [1.555, 2.800]0.602
Number of passes per node (median [IQR])3.000 [2.000, 3.000]3.000 [2.000, 3.000]3.000 [2.000, 3.000]0.017
Short-axis (%)0.390
 >1 cm882 (81.5%)614 (80.8%)268 (83.2%)
 ≤1 cm200 (18.5%)146 (19.2%)54 (16.8%)
Long-axis/short-axis ratio (%)0.955
 ≥1.5229 (21.2%)160 (21.1%)69 (21.4%)
 <1.5853 (78.8%)600 (78.9%)253 (78.6%)
Echo intensity (%)0.087
 Hyperechoic32 (3.0%)25 (3.3%)7 (2.2%)
 Hypoechoic1041 (96.2%)726 (95.5%)315 (97.8%)
 Isoechoic9 (0.8%)9 (1.2%)0 (0.00)
Echogenicity (%)0.980
 Heterogeneous671 (62.0%)472 (62.1%)199 (61.8%)
 Homogeneous411 (38.0%)288 (37.9%)123 (38.2%)
Margin (%)0.712
 Indistinct866 (80.0%)611 (80.4%)255 (79.2%)
 Distinct216 (20.0%)149 (19.6%)67 (20.8%)
Blood flow (%)0.646
 Rich890 (82.3%)622 (81.8%)268 (83.2%)
 Lacking192 (17.7%)138 (18.2%)54 (16.8%)
Fusion (%)0.268
 Absent822 (76.0%)585 (77.0%)237 (73.6%)
 Present260 (24.0%)175 (23.0%)85 (26.4%)
Central hilar structure (CHS) (%)0.237
 Absent740 (68.4%)511 (67.2%)229 (71.1%)
 Present342 (31.6%)249 (32.8%)93 (28.9%)