Literature DB >> 31352444

First Human Use of a New Robotic-Assisted Fiber Optic Sensing Navigation System for Small Peripheral Pulmonary Nodules.

David I K Fielding1, Farzad Bashirzadeh2, Jung Hwa Son2, Maryann Todman2, Adrian Chin2, Lionel Tan2, Karin Steinke2, Morgan N Windsor2, Arthur Wai Sung3.   

Abstract

BACKGROUND: We tested a new, investigational robotic-assisted bronchoscope system with a remotely controlled catheter to access small peripheral bronchi with real-time driving under live visualization and distal tip articulation of the catheter. The unique catheter remains stationary once located at the biopsy position.
OBJECTIVES: The primary objectives of this study were to evaluate the safety and feasibility of a new shape-sensing robotic bronchoscope system to bronchoscopically approach and facilitate the sampling of small peripheral pulmonary nodules of 1-3 cm. Secondary objectives included evaluating procedural characteristics and early performance trends associated with the use of the new robotic bronchoscope system.
METHODS: Subjects were enrolled according to study eligibility criteria at a single center. Navigation pathways were semi-automatically created using pre-procedure CT scans. Simultaneous (real-time) viewing of actual and virtual bronchi was used real time during navigation to the displayed target. An endobronchial ultrasound mini-probe was used to confirm lesion location. Flexible 19- to 23-G needles specifically designed to accommodate tight bend radii in transbronchial needle aspiration were used along with conventional biopsy tools. Enrolled subjects completed follow-up visits up to 6 months after the procedure.
RESULTS: The study included 29 subjects with a mean lesion size of 12.2 ± 4.2, 12.3 ± 3.3, and 11.7 ± 4.1 mm in the axial, coronal, and sagittal planes, respectively. The CT bronchus sign was absent in 41.4% of cases. In 96.6% of cases, the target was reached, and samples were obtained. No device-related adverse events and no instances of pneumothorax or excessive bleeding were observed during the procedure. Early performance trends demonstrated an overall diagnostic yield of 79.3% and a diagnostic yield for malignancy of 88%.
CONCLUSION: This new robotic-assisted bronchoscope system safely navigated to very small peripheral airways under continuous visualization, and through maintenance of a static position, it provides a unique sampling capability for the biopsy of small solitary pulmonary nodules.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Lung biopsy; Lung cancer; Robotic bronchoscopy; Solitary pulmonary nodule

Year:  2019        PMID: 31352444     DOI: 10.1159/000498951

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  23 in total

1.  Accuracy of a Robotic Endoscopic System in Cadaver Models with Simulated Tumor Targets: ACCESS Study.

Authors:  Alexander C Chen; Nicholas J Pastis; Michael S Machuzak; Thomas R Gildea; Michael J Simoff; Colin T Gillespie; Amit K Mahajan; Scott S Oh; Gerard A Silvestri
Journal:  Respiration       Date:  2019-12-05       Impact factor: 3.580

2.  Design Considerations for a Steerable Needle Robot to Maximize Reachable Lung Volume.

Authors:  Inbar Fried; Janine Hoelscher; Mengyu Fu; Maxwell Emerson; Tayfun Efe Ertop; Margaret Rox; Josephine Granna; Alan Kuntz; Jason A Akulian; Robert J Webster; Ron Alterovitz
Journal:  IEEE Int Conf Robot Autom       Date:  2021-10-18

3.  A Prospective Randomized Comparative Study of Three Guided Bronchoscopic Approaches for Investigating Pulmonary Nodules: The PRECISION-1 Study.

Authors:  Lonny Yarmus; Jason Akulian; Momen Wahidi; Alex Chen; Jennifer P Steltz; Sam L Solomon; Diana Yu; Fabien Maldonado; Jose Cardenas-Garcia; Daniela Molena; Hans Lee; Anil Vachani
Journal:  Chest       Date:  2019-11-01       Impact factor: 9.410

4.  Shape-Sensing Robotic-Assisted Bronchoscopy in the Diagnosis of Pulmonary Parenchymal Lesions.

Authors:  Or Kalchiem-Dekel; James G Connolly; I-Hsin Lin; Bryan C Husta; Prasad S Adusumilli; Jason A Beattie; Darren J Buonocore; Joseph Dycoco; Paige Fuentes; David R Jones; Robert P Lee; Bernard J Park; Gaetano Rocco; Mohit Chawla; Matthew J Bott
Journal:  Chest       Date:  2021-08-09       Impact factor: 9.410

5.  Robotic Assisted Bronchoscopy: The Ultimate Solution for Peripheral Pulmonary Nodules?

Authors:  Erik H F M van der Heijden; Roel L J Verhoeven
Journal:  Respiration       Date:  2022-03-23       Impact factor: 3.966

6.  Cognitive Load in Electromagnetic Navigational and Robotic Bronchoscopy for Pulmonary Nodules.

Authors:  Christopher M Kapp; Jason A Akulian; Diana H Yu; Alexander Chen; José Cárdenas-García; Daniela Molena; Anil Vachani; Momen M Wahidi; Fabien Maldonado; David Fielding; Lonny B Yarmus; Hans Lee
Journal:  ATS Sch       Date:  2020-12-23

Review 7.  Anesthesia considerations to reduce motion and atelectasis during advanced guided bronchoscopy.

Authors:  Michael A Pritchett; Kelvin Lau; Scott Skibo; Karen A Phillips; Krish Bhadra
Journal:  BMC Pulm Med       Date:  2021-07-17       Impact factor: 3.317

Review 8.  Robotic bronchoscopy for pulmonary lesions: a review of existing technologies and clinical data.

Authors:  Abhinav Agrawal; D Kyle Hogarth; Septimiu Murgu
Journal:  J Thorac Dis       Date:  2020-06       Impact factor: 3.005

9.  Cone-Beam CT Image Guidance With and Without Electromagnetic Navigation Bronchoscopy for Biopsy of Peripheral Pulmonary Lesions.

Authors:  Roel L J Verhoeven; Jurgen J Fütterer; Wouter Hoefsloot; Erik H F M van der Heijden
Journal:  J Bronchology Interv Pulmonol       Date:  2021-01-01

10.  Electromagnetic Navigation Bronchoscopy With Tomosynthesis-based Visualization and Positional Correction: Three-dimensional Accuracy as Confirmed by Cone-Beam Computed Tomography.

Authors:  Michael A Pritchett; Krish Bhadra; Jennifer S Mattingley
Journal:  J Bronchology Interv Pulmonol       Date:  2021-01-01
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