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Author Spotlight: Expanding Interventional Pulmonology Research with Robotic-Assisted Bronchoscopy
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Advanced Imaging for Robotic Bronchoscopy: A Review.

Nakul Ravikumar1, Elliot Ho2, Ajay Wagh1

  • 1Interventional Pulmonology, Section of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.

Diagnostics (Basel, Switzerland)
|March 11, 2023
PubMed
Summary

Robotic bronchoscopy improves lung lesion navigation, but diagnostic yield can be enhanced with advanced imaging. Adjunct imaging helps overcome CT-to-body divergence for better tool-lesion accuracy.

Keywords:
C-arm based tomosynthesisCIOS spinCT-to-body divergenceO-arm CTcone-beam CTnavigational bronchoscopyrobotic bronchoscopyventilator strategies

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Area of Science:

  • Pulmonology
  • Medical Imaging
  • Interventional Bronchoscopy

Background:

  • Advancements in navigational platforms like electromagnetic navigation and robotic bronchoscopy have improved lung lesion diagnosis.
  • Despite technological progress, diagnostic yields often lag behind transthoracic computed tomography (CT) guided needle biopsy.
  • CT-to-body divergence remains a significant limitation in current bronchoscopic interventions.

Purpose of the Study:

  • To review the role of adjunct imaging in robotic bronchoscopy for diagnosing pulmonary lesions.
  • To discuss strategies for mitigating CT-to-body divergence.
  • To explore the potential of advanced imaging in lung tumor ablation.

Main Methods:

  • Review of recent literature on robotic bronchoscopy and advanced imaging techniques.
  • Discussion of CT-to-body divergence and its impact on diagnostic yield.
  • Exploration of adjunct imaging modalities including radial endobronchial ultrasound, tomosynthesis, cone-beam CT, and O-arm CT.

Main Results:

  • Adjunct imaging provides crucial real-time feedback, improving the tool-lesion relationship during robotic bronchoscopy.
  • Advanced imaging modalities can help overcome the CT-to-body divergence phenomenon.
  • These techniques hold promise for enhancing diagnostic accuracy and enabling lung tumor ablation.

Conclusions:

  • Integrating advanced imaging with robotic bronchoscopy is essential for improving diagnostic yield in peripheral pulmonary lesions.
  • Strategies to counteract CT-to-body divergence are critical for effective intervention.
  • Advanced imaging shows potential for expanding the role of bronchoscopy in lung cancer management, including ablation.