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Accuracy of Pulmonary Nodule Sampling Using Robotic Assisted Bronchoscopy with Shape Sensing, Fluoroscopy, and Radial Endobronchial Ultrasound (The ACCURACY Study).

Publication ,  Journal Article
Thiboutot, J; Argento, AC; Akulian, J; Lee, HJ; DeMaio, A; Kapp, CM; Wahidi, MM; Yarmus, L
Published in: Respiration
2022

BACKGROUND: Despite recent advances in guided bronchoscopy, the yield of bronchoscopic biopsy of a peripheral pulmonary nodule (PPN) remains highly variable. OBJECTIVE: The aim of the study was to evaluate which features of robotic assisted bronchoscopy (RAB) contribute to a successful biopsy in a cadaver model. METHODS: A preclinical, prospective, single-blinded trial using a ventilated human cadaveric model assessed the successful puncture of implanted pulmonary nodules using various localization techniques with RAB. The different approaches included positioning the robotic catheter at predefined distances from the target nodule (<10 mm, 10-20 mm, 20-30 mm), bronchoscopist correction of divergence between the software virtual map and bronchoscopic view if observed, and impact of fluoroscopy and radial endobronchial ultrasound (rEBUS). The primary endpoint was a central target hit (defined as an inner 2/3 target puncture) verified by cone-beam computed tomography. RESULTS: Thirty-eight RAB procedures were performed to target 16 PPNs. Median nodule size was 16.2 mm. All targets were located in the outer 1/3 of the lung with a bronchus sign in 31.3%. Central target hit rates were improved when the robotic catheter tip was closer to the nodule (<10 mm 68%, 10-20 mm 66%, 20-30 mm 11%, p < 0.001). Multivariable analysis confirmed the strongest predictor of a central target hit was robotic catheter distance to nodule (OR 0.89 per increase in 1 mm, p < 0.001), independent of the presence of a bronchus sign, divergence or concentric rEBUS view. CONCLUSIONS: Utilizing a RAB platform, closer proximity of the robotic catheter to the target nodule results in an increase in peripheral nodule biopsy success.

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Published In

Respiration

DOI

EISSN

1423-0356

Publication Date

2022

Volume

101

Issue

5

Start / End Page

485 / 493

Location

Switzerland

Related Subject Headings

  • Robotic Surgical Procedures
  • Respiratory System
  • Prospective Studies
  • Lung Neoplasms
  • Humans
  • Fluoroscopy
  • Endosonography
  • Bronchoscopy
  • 3201 Cardiovascular medicine and haematology
  • 1102 Cardiorespiratory Medicine and Haematology
 

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Thiboutot, J., Argento, A. C., Akulian, J., Lee, H. J., DeMaio, A., Kapp, C. M., … Yarmus, L. (2022). Accuracy of Pulmonary Nodule Sampling Using Robotic Assisted Bronchoscopy with Shape Sensing, Fluoroscopy, and Radial Endobronchial Ultrasound (The ACCURACY Study). Respiration, 101(5), 485–493. https://doi.org/10.1159/000522514
Thiboutot, Jeffrey, A Christine Argento, Jason Akulian, Hans J. Lee, Andrew DeMaio, Christopher M. Kapp, Momen M. Wahidi, and Lonny Yarmus. “Accuracy of Pulmonary Nodule Sampling Using Robotic Assisted Bronchoscopy with Shape Sensing, Fluoroscopy, and Radial Endobronchial Ultrasound (The ACCURACY Study).Respiration 101, no. 5 (2022): 485–93. https://doi.org/10.1159/000522514.
Thiboutot, Jeffrey, et al. “Accuracy of Pulmonary Nodule Sampling Using Robotic Assisted Bronchoscopy with Shape Sensing, Fluoroscopy, and Radial Endobronchial Ultrasound (The ACCURACY Study).Respiration, vol. 101, no. 5, 2022, pp. 485–93. Pubmed, doi:10.1159/000522514.
Thiboutot J, Argento AC, Akulian J, Lee HJ, DeMaio A, Kapp CM, Wahidi MM, Yarmus L. Accuracy of Pulmonary Nodule Sampling Using Robotic Assisted Bronchoscopy with Shape Sensing, Fluoroscopy, and Radial Endobronchial Ultrasound (The ACCURACY Study). Respiration. 2022;101(5):485–493.
Journal cover image

Published In

Respiration

DOI

EISSN

1423-0356

Publication Date

2022

Volume

101

Issue

5

Start / End Page

485 / 493

Location

Switzerland

Related Subject Headings

  • Robotic Surgical Procedures
  • Respiratory System
  • Prospective Studies
  • Lung Neoplasms
  • Humans
  • Fluoroscopy
  • Endosonography
  • Bronchoscopy
  • 3201 Cardiovascular medicine and haematology
  • 1102 Cardiorespiratory Medicine and Haematology