Factors Associated With Diagnostic Accuracy of Robotic Bronchoscopy With 12-Month Follow-up

Abhinav Agrawal, Elliot Ho, Udit Chaddha, Baris Demirkol, Sivasubramanium V. Bhavani, D. Kyle Hogarth, Septimiu Murgu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Background: Robotic bronchoscopy (RB) aims to increase the diagnostic yield of guided bronchoscopy by providing improved navigation, farther reach, and stability during lesion sampling. Methods: We reviewed data on consecutive cases in which RB was used to diagnose lung lesions from June 15, 2018, to December 15, 2019, at the University of Chicago Medical Center. Results: The median lesion size was 20.5 mm. All patients had at least 12 months of follow-up. The overall diagnostic accuracy was 77% (95 of 124). The diagnostic accuracy was 85%, 84%, and 38% for concentric, eccentric, and absent radial endobronchial ultrasound (r-EBUS) views, respectively (P <.001). A positive r-EBUS view and lesions size of 20 to 30 mm had higher odds of achieving a diagnosis on multivariate analysis. The 12-month diagnostic accuracy, sensitivity, specificity, and positive and negative predictive value for malignancy were 77%, 69%, 100%, 100%, and 58%, respectively. Pneumothorax was noted in 1.6% (n = 2) patients with bleeding reported in 3.2% (n = 4). No postprocedure respiratory failure was noted. Conclusions: The overall diagnostic accuracy using RB for pulmonary lesion sampling in our cohort with 12-month follow-up compared favorably with established guided bronchoscopy technologies. Lesion size ≥20 mm and confirmation by r-EBUS predicted higher accuracy independent of concentric or eccentric r-EBUS patterns.

Original languageEnglish
Pages (from-to)1361-1368
Number of pages8
JournalAnnals of Thoracic Surgery
Issue number6
StateAccepted/In press - 2022


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