Accuracy of Rapid On-Site Evaluation in Robotic-Assisted Bronchoscopy Fine Needle Aspirations of Lung Nodules
Abstract
BACKGROUND: Shape-sensing robotic-assisted bronchoscopy (ssRAB) is an emerging technique for sampling lung nodules. When evaluating the value of pairing ssRAB with rapid on-site evaluation (ROSE), other studies have only looked at diagnostic yield. This study aims to assess the diagnostic concordance of ROSE and histopathologic biopsies in ssRAB sampling. METHODS: We analyzed lung nodules sampled by ssRAB fine needle aspiration (FNA) and had ROSE. The following parameters were recorded: preliminary and final cytology diagnoses, concurrent histopathology biopsy diagnosis, tool type, number of passes for ROSE, lesion size, and location. A χ2 test was performed for categorical variables, and one-way analysis of variance was used to compare means for continuous variables. A P-value
Fields of Study & Subjects
Lung Cancer Diagnosis and Treatment
Advanced Radiotherapy Techniques
AI in cancer detection
Publication details
- Journal / source
- Journal of Bronchology & Interventional Pulmonology
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Volume
- 33
- Issue
- 2
- Publication date
- 20 February 2026
- Language
- EN