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Review

What is the value of electromagnetic navigation in lung cancer and to what extent does it require improvement?

ORCID Icon & ORCID Icon
Pages 655-669
Received 23 Jan 2020
Accepted 24 Mar 2020
Accepted author version posted online: 26 Mar 2020
Published online: 04 Apr 2020
 

ABSTRACT

Introduction

Lung nodules are being identified with increasing frequency. With this growing burden of nodules comes a growing need for diagnostic technologies extending beyond the current reach of conventional bronchoscopy. One such method for diagnosing peripheral lung lesions is electromagnetic navigational bronchoscopy (ENB), which comprises a set of tools designed to aid the bronchoscopist in identifying, accessing, and sampling peripheral lung lesions under virtual guidance.

Areas covered

Herein we present an in-depth review of ENB, including commercially available electromagnetic navigation platforms, factors influencing diagnostic yield, adjunctive imaging and biopsy tools, potential risks, cost, technical shortcomings, and competing technologies. A review of the scientific literature was conducted primarily through PubMed, ScienceDirect, and Google Scholar, and pertinent publications and abstracts from the inception of electromagnetic navigation through early 2020 were considered. We also share our perspective on the future of ENB from both a diagnostic and a therapeutic standpoint.

Expert opinion

ENB is currently a leading tool in the diagnostic evaluation of peripheral lung lesions. The future of ENB rests not only on its potential to expand into the therapeutic realm but also on its ability to keep pace with competing diagnostic and therapeutic technologies.

Article Highlights

  • Electromagnetic navigational bronchoscopy (ENB) has become a commonly employed means of sampling peripheral lung lesions.

  • There are several commercially available electromagnetic navigation (EMN) platforms in the United States, each with its own unique features; however, prospective comparisons of these different systems are lacking.

  • The overall diagnostic yield of ENB as reported in the scientific literature ranges widely, with the largest and most recent prospective study reporting a yield of 73% [14].

  • The diagnostic yield of ENB hinges heavily on the biopsy techniques employed: although transbronchial needle aspiration appears to be the most reliable method, many bronchoscopists employ more than one sampling modality in an effort to maximize diagnostic yield.

  • Features intrinsic to the target lesion that may influence the efficacy of EMN-guided biopsy include size, location, and – perhaps most significantly – whether an airway leads directly into the lesion (presence of a bronchus sign).

  • Risks associated with ENB pertain more directly to the biopsy methods employed or to bronchoscopy in general: most common among potential complications are pneumothorax, bleeding, and respiratory failure.

  • A major limitation of EMN is its inability to compensate for changes in lung geometry and nodule-positioning that occur after acquisition of the CT scan used to plan the navigation: this is termed CT-to-body divergence.

  • The incorporation of more advanced imaging modalities (for example, cone-beam CT and fluoroscopy with three-dimensional reconstruction) may allow for better visual assessment and fine-tuning of navigation, while technologies such as fluoroscopic navigation may facilitate some degree of compensation for CT-to-body divergence through intraprocedural local registration.

  • The future of ENB lies in its ability to overcome its limitations (such as CT-to-body divergence), keep pace with competing technologies (such as standalone fluoroscopic navigation and other advanced bronchoscopic techniques that enable navigation and biopsy under real-time guidance), and perhaps demonstrate its utility in the arena of lung cancer therapeutics.

Declaration of Interest

T. R. Gildea has been part of several scientific advisory boards (e.g., Medtronic, Auris, Intuitive Surgical, Siemens, Ethicon/J&J, Boston Scientific) and their employer has grant support for educational activities (e.g., Veran, Olympus, etc.) that has some interaction with content. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Reviewer Disclosures

Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Additional information

Funding

This paper was not funded.

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