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This randomized controlled trial evaluates the integration of cone-beam computed tomography (CBCT) and robotic-assisted bronchoscopy (RAB) for diagnosing pulmonary lesions, hypothesizing improved diagnostic yield compared to traditional methods. The trial involves 2 study arms (2x46 lesions) over 24 months with 12 months of follow-up and the diagnostic yield (ATS 2024 criteria) as the primary endpoint.
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This randomized-controlled-trial, classified as Category A under Art 6 ClinO-MD, investigates the potential benefits of integrating cone-beam computed tomography (CBCT) and robotic-assisted bronchoscopy (RAB) into clinical practice for diagnosing pulmonary lesions. The study aims to enhance biopsy accuracy and safety by utilizing 3-dimensional reconstructions and increased flexibility of the bronchoscope tip. It targets two main clinical scenarios: peripheral lung lesions (PPLs) and other lung diseases requiring tissue biopsies. The hypothesis is that CBCT and RAB will significantly improve diagnostic yield compared to traditional 2D fluoroscopy techniques and endobronchial ultrasound.
The trial will involve 300 participants in the overall observational study, with a nested randomized controlled trial (RCT) for specific lesion types, targeting 2x46 lesions for 2 study arms i) usual care, ii) CBCT and RAB .
Primary endpoints include procedure time for the overall trial and diagnostic yield (ATS 2024 criteria) for the nested RCTs, analyzed via Pearson's Chi-squared test and multivariable logistic regression. Inclusion criteria encompass patients aged 18 or older, scheduled for bronchoscopy, with necessary pre-interventional exams and informed consent. Exclusion criteria include inability to tolerate the procedure, pregnancy, previous trial randomization, and specific lung conditions. The study's recruitment phase spans 24 months, with a 12-month follow-up, running from July 2024 to July 2027.
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For nested RCTs (Trial A + B):
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300 participants in 2 patient groups
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Thomas Gaisl, MD MPH PhD; Carolin Steinack, MD
Data sourced from clinicaltrials.gov
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