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Guidance system development for radial-probe endobronchial ultrasound bronchoscopy
Author(s): Wennan Zhao; Rebecca Bascom; Jennifer Toth; William E. Higgins
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Paper Abstract

For peripheral pulmonary lesion diagnosis, surgical thoracoscopy and percutaneous needle biopsy are common invasive options, but entail significant risks; e.g., percutaneous biopsy carries a 15% pneumothorax rate and risk of other complications. The development of new bronchoscopic devices, such as radial-probe endobronchial ultrasound (RP-EBUS), however, enables far less risky lesion diagnosis. Based on recent research, an image- guided bronchoscopy system can be used to navigate the bronchoscope close to the lesion, while RP-EBUS, which provides real-time extraluminal information on local tissue and lesions, can then be used for lesion localization and biopsy site selection. Unfortunately, physician skill in using RP-EBUS varies greatly, especially for physicians not at expert centers. This results in poor biopsy yields. Also, current state-of-the-art image-guided bronchoscopy systems provide no means for guiding the use of the RP-EBUS. We describe progress toward devising a methodology that facilitates synchronization of the known chest CT-based guidance information to possible locations for invoking RP-EBUS. In particular, we describe a top-level CT-based mechanism that mimics the possible positions of the RP-EBUS probe, supplemented with an approach that simulates possible RP-EBUS views. Results with human patient data demonstrate the potential of the methodology.

Paper Details

Date Published: 8 March 2019
PDF: 7 pages
Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109511P (8 March 2019); doi: 10.1117/12.2505827
Show Author Affiliations
Wennan Zhao, The Pennsylvania State Univ. (United States)
Rebecca Bascom, The Pennsylvania State Univ. (United States)
Jennifer Toth, The Pennsylvania State Univ. (United States)
William E. Higgins, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 10951:
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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