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Table 1 Baseline patient and primary lesion characteristics

From: Diagnostic outcomes of robotic-assisted bronchoscopy for pulmonary lesions in a real-world multicenter community setting

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%)

  1. Results are displayed as n (%), mean ± standard deviation, or median (minimum–maximum)
  2. CT Computed tomography
  3. aCalculated using an adapted Mayo Clinic model
  4. bSize was calculated as the mean of the long and short axes dimensions when both were reported and as the long axis dimension otherwise
  5. cBased on 210 non-missing values