Shape-sensing robotic-assisted bronchoscopy with integrated mobile cone-beam CT for small nodules: results from the prospective multicentre CONFIRM study.

The use of 3D imaging with navigation bronchoscopy has increased with the introduction of mobile cone-beam CT (mCBCT). Shape-sensing robotic-assisted bronchoscopy (ssRAB) integrated with mCBCT has been introduced to correct for CT to body divergence (CT-BD) during the biopsy of peripheral pulmonary nodules (PPNs).

Prospective observational multicentre study, enrolling patients with a PPN of ≤20 mm suspicious for malignancy, assessing tool-in-lesion (TIL), diagnostic yield, sensitivity for malignancy and incidence of pneumothorax or airway bleeding. Non-malignant index biopsies were followed for 12 months. Descriptive statistics are reported for all variables along with 95% CI for primary endpoints.

155 consecutive patients were enrolled at six centres. Median nodule size was 14.0 mm (IQR 11.0-17.0), with 54.8% of nodules (85/155) in the upper lobes, 25.8% (40/155) with CT bronchus sign present and median distance to the nearest pleural surface of 8.2 mm (IQR 1.8-20.0). TIL was achieved in 154/155 (99.4%, 95% CI 96.5 to 100.0) procedures. A median of two (IQR 1-3) mCBCT spins were performed, with median dose area product of 25.7 Gy · cm2 (IQR 11.0-46.7). Diagnostic yield per the American Thoracic Society/American College of Chest Physicians (ATC/ACCP) definition was 89.0% (n=138/155; 95% CI 83.0 to 93.5) and sensitivity for malignancy was 91.5% (95% CI 86.4 to 96.5). No pneumothorax (0%, 95% CI 0.0 to 2.4) and two Nashville Grade three bleeding events were reported (1.3%, 95% CI 0.2 to 4.6).

The first prospective multicentre study of integrated ssRAB and mCBCT for small peripheral nodules resulted in diagnostic outcomes similar to those reported for transthoracic biopsy with a more favourable safety profile.

ClinicalTrials.gov ID: NCT05562895.
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Authors

Husta Husta, Cheng Cheng, Batra Batra, Reisenauer Reisenauer, Bartek Bartek, Kalchiem-Dekel Kalchiem-Dekel, Zouk Zouk, Patel Patel, Chawla Chawla, Eapen Eapen, Jimenez Jimenez, Lee Lee, Bott Bott, Oh Oh, Casal Casal
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