Table 1.
Baseline patient and primary lesion characteristics
| Patient characteristic | Total |
| (N = 264) | |
| Age at procedure, years | 69.5 ± 10.5 |
| Sex, female | 150 (56.8%) |
| White | 252 (95.5%) |
| Body mass index, kg/m2 (N = 263) | 27.4 ± 6.9 |
| Comorbidities/medical history | |
| Emphysema | 114 (43.2%) |
| Chronic obstructive pulmonary disease | 136 (51.5%) |
| Prior invasive lung procedure or surgery | 29 (11.0%) |
| History of lung cancer | 29 (11.0%) |
| Primary lung cancer | 25 (86.2%) |
| Metastatic lung cancer – solid tumor | 4 (13.8%) |
| History of extrathoracic malignancies | 86 (32.6%) |
| Family history of lung cancer | 36 (13.6%) |
| Family history of extrathoracic cancer | 123 (46.6%) |
| Smoking status (N = 262) | |
| Prior smoker | 125 (47.7%) |
| Current smoker | 72 (27.5%) |
| Never smoked | 65 (24.8%) |
| Number of pulmonary lesions visualized on pre-procedure CT scans | 1 (1–22) |
| Pre-procedure probability of malignancya (N = 253) | 60.2 ± 28.1% |
| Pre-procedure probability of malignancya ≥ 65% (N = 253) | 122 (48.2%) |
| Primary lesion characteristic | Total |
| (N = 264) | |
| Lesion sizeb, mm | 19.3 (3.2–72.5) |
| Lesion sizeb < 20 mm | 137/264 (51.9%) |
| Location | |
| Proximal third | 27/263 (10.3%) |
| Middle | 81/263 (30.8%) |
| Peripheral (outer third of the lung) | 155/263 (58.9%) |
| Distance from closest edge to pleurac, mm | 12.0 (0.0–90.0) |
| Lesion lobe location | |
| Right upper lobe | 82/264 (31.1%) |
| Right middle lobe | 17/264 (6.4%) |
| Right lower lobe | 52/264 (19.7%) |
| Left upper lobe | 79/264 (29.9%) |
| Left lower lobe | 34/264 (12.9%) |
| Visible bronchus leading to lung lesion | 78/259 (30.1%) |
| Nodule type | |
| Solid | 205/264 (77.7%) |
| Subsolid | 59/264 (22.4%) |
| Pure ground glass (non-solid) | 13 (22.0%) |
| Semi-solid | 46 (78.0%) |
| Margin specifications | |
| Spiculated | 112/253 (44.3%) |
| Smooth | 92/253 (36.4%) |
| Lobulated | 49/253 (19.4%) |
| Calcification | 11/264 (4.2%) |
Results are displayed as n (%), mean ± standard deviation, or median (minimum–maximum)
CT Computed tomography
aCalculated using an adapted Mayo Clinic model
bSize was calculated as the mean of the long and short axes dimensions when both were reported and as the long axis dimension otherwise
cBased on 210 non-missing values