Assessing the Accuracy of a Novel Multi-Section Robotic Bronchoscope in Localization & Targeting of Small Pulmonary Lesions

Presented During:

Monday, May 8, 2023: 3:15PM - 3:18PM
Los Angeles Convention Center  
Posted Room Name: Exhibit Hall  

Abstract No:

P0140 

Submission Type:

Abstract Submission 

Authors:

Jorind Beqari (1), Jacob Hurd (1), Fumitaro Masaki (2), Franklin King (2), Nobuhiko Hata (2), Yolonda Colson (1)

Institutions:

(1) Massachusetts General Hospital, Boston, MA, (2) Brigham and Women's Hospital, Boston, MA

Submitting Author:

Jorind Beqari    -  Contact Me
Massachusetts General Hospital

Co-Author(s):

Jacob Hurd    -  Contact Me
Massachusetts General Hospital
Fumitaro Masaki    -  Contact Me
Brigham and Women's Hospital
Franklin King    -  Contact Me
Brigham and Women's Hospital
Nobuhiko Hata    -  Contact Me
Brigham and Women's Hospital
*Yolonda Colson    -  Contact Me
Massachusetts General Hospital

Presenting Author:

Jorind Beqari    -  Contact Me
N/A

Abstract:

Objective: In light of the newly adopted lung cancer screening guidelines, the ability to definitively diagnosis early-stage lung cancer within small pulmonary nodules is critical. Despite viable methods such as electromagnetic navigational bronchoscopy (EM-NB), there is still an unmet need for rapid, accurate, and minimally invasive biopsy techniques for patients with small peripheral lung lesions. Robotic bronchoscopy (RB) has emerged as a novel technique to address this issue. The objective of this study was to quantitatively assess the accuracy of a multi-section robotic bronchoscope compared to current standards of care.
Methods: This is a prospective, single-blinded, randomized, comparative study where the accuracy of RB was compared against the accuracy of standard EM-NB during lesion localization and targeting. 5 blinded subjects of varying bronchoscopy experience were recruited to use both RB and EM-NB in a swine lung model. Accuracy of localization and targeting success was measured as the distance from the center of pulmonary targets at each anatomic location. Subjects used both RB and EM-NB to navigate to 4 pulmonary targets assigned using 1:1 block randomization. Differences in accuracy and time between navigation systems were assessed using Wilcoxon Rank Sum test.
Results: Both RB and EM-NB were driven to 4 independent targets twice for a total of 40 attempts each (8 per subject per bronchoscopic modality). Of the 40 total targeting attempts per modality, 90% and 85% attempts were successful when utilizing RB and EM-NB, respectively. No significant differences were found between the two bronchoscopy modalities with regard to total navigation time. Upon targeting completion, RB was found to have a significantly lower median distance to the real-time EM target (1.1 mm, IQR:0.6-2.0mm) compared to EM-NB (2.6mm, IQR:1.6-3.8). Median target displacement resulting from lung deformation was found to be significantly lower when using RB (0.8mm, IQR:0.5-1.2mm) compared to EM-NB (2.6mm, IQR:1.4-6.4mm).
Conclusions: The results of our study highlight the clear advantage of RB compared to standard EM-NB in terms of targeting accuracy. This is likely attributable to the three-section RB which mitigates the large tissue displacement observed with standard EM-NB navigation. As RB development and implementation continues to improve, so will our ability to definitively diagnosis smaller lung cancer nodules-continuing the improvement of patient outcomes.

THORACIC:

Basic and Translational Research

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Supporting Image: RoboticBronchAATS2023.jpg
 

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Keywords

Keywords - General Thoracic

Procedures - Procedures
Procedures - Minimally Invasive Procedures/Robotics
Lung - Lung Cancer