Purpose: Lung cancer remains the leading cause of cancer death. This has brought about a critical need for managing peripheral regions of interest (ROIs) in the lungs, be it for cancer diagnosis, staging, or treatment. The state-of-the-art approach for assessing peripheral ROIs involves bronchoscopy. To perform the procedure, the physician first navigates the bronchoscope to a preplanned airway, aided by an assisted bronchoscopy system. They then confirm an ROI's specific location and perform the requisite clinical task. Many ROIs, however, are extraluminal and invisible to the bronchoscope's field of view. For such ROIs, current practice dictates using a supplemental imaging method, such as fluoroscopy, cone-beam computed tomography (CT), or radial endobronchial ultrasound (R-EBUS), to gather additional ROI location information. Unfortunately, fluoroscopy and cone-beam CT require substantial radiation and lengthen procedure time. As an alternative, R-EBUS is a safer real-time option involving no radiation. Regrettably, existing assisted bronchoscopy systems offer no guidance for R-EBUS confirmation, forcing the physician to resort to an unguided guess-and-check approach for R-EBUS probe placement-an approach that can produce R-EBUS placement errors exceeding 30 deg, an error that can result in missing many ROIs. Thus, because of physician skill variations, biopsy success rates using R-EBUS for ROI confirmation have varied greatly from 31% to 80%. This situation obliges the physician to turn to a radiation-based modality to gather sufficient information for ROI confirmation. We propose a two-phase registration method that provides guidance for R-EBUS probe placement.
Approach: After the physician navigates the bronchoscope to the airway near a target ROI, the two-phase registration method begins by registering a virtual bronchoscope to the real bronchoscope. A virtual 3D R-EBUS probe model is then registered to the real R-EBUS probe shape depicted in the bronchoscopic video using an iterative region-based alignment method drawing on a level-set-based optimization. This synchronizes the guidance system to the target ROI site. The physician can now perform the R-EBUS scan to confirm the ROI.
Results: We validated the method's efficacy for localizing extraluminal ROIs with a series of three studies. First, for a controlled phantom study, we observed that the mean accumulated position and direction errors (accounting for both registration phases) were 1.94 mm and 3.74 deg (equivalent to 1.30 mm position error for a 20 mm biopsy needle), respectively. Next, for a live animal study, these errors were 2.81 mm and 4.79 deg (2.41 mm biopsy needle error), respectively. For 100% of the ROIs considered in these two studies, the method enabled visualization of an ROI via R-EBUS in under 3 min per ROI. Finally, initial operating-room tests on lung cancer patients indicated the method's efficacy, functionality, efficiency, and safety under standard clinical conditions.
Conclusions: The method offers a quick, low-cost, radiation-free approach for examining peripheral extraluminal ROIs using R-EBUS. Although our studies focused on R-EBUS as the supplemental working channel instrument, the proposed method has general applicability to any clinical bronchoscopic task requiring a working channel instrument. Thus, the method has the potential to improve the efficiency and efficacy of bronchoscopic procedures for lung cancer patients.
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http://dx.doi.org/10.1117/1.JMI.12.2.025001 | DOI Listing |
J Med Imaging (Bellingham)
March 2025
Penn State University, School of Electrical Engineering and Computer Science, University Park, Pennsylvania, United States.
Purpose: Lung cancer remains the leading cause of cancer death. This has brought about a critical need for managing peripheral regions of interest (ROIs) in the lungs, be it for cancer diagnosis, staging, or treatment. The state-of-the-art approach for assessing peripheral ROIs involves bronchoscopy.
View Article and Find Full Text PDFLung Cancer
March 2025
Department of Thoracic and Endocrine Surgery and Oncology, Institute of Biomedical Sciences, The University of Tokushima Graduate School, Tokushima, Japan.
Background And Objective: Cone-beam computed tomography (CBCT)-guided transbronchial biopsy (TBB) using an ultrathin bronchoscope (UTB) under virtual bronchoscopic navigation (VBN) is a useful method for diagnosing peripheral pulmonary lesions. A 1.2 mm working channel UTB (SC-UTB) and a 1.
View Article and Find Full Text PDFEndosc Ultrasound
August 2024
Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background And Objectives: Radial endobronchial ultrasound (R-EBUS) plays an important role during transbronchial sampling of peripheral pulmonary lesions (PPLs). However, existing navigational bronchoscopy systems provide no guidance for R-EBUS. To guide intraoperative R-EBUS probe manipulation, we aimed to simulate R-EBUS images of PPLs from preoperative computed tomography (CT) data using deep learning.
View Article and Find Full Text PDFBMC Pulm Med
August 2024
Department of Ultrasound Images, Chest Medical District of Nanjing Brain Hospital Affiliated to Nanjing Medical University, 215 Guangzhou Road, Nanjing, 210029, China.
Cancer Imaging
July 2024
Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, 06351, South Korea.
Background: This study aimed to quantitatively reveal contributing factors to airway navigation failure during radial probe endobronchial ultrasound (R-EBUS) by using geometric analysis in a three-dimensional (3D) space and to investigate the clinical feasibility of prediction models for airway navigation failure.
Methods: We retrospectively reviewed patients who underwent R-EBUS between January 2017 and December 2018. Geometric quantification was analyzed using in-house software built with open-source python libraries including the Vascular Modeling Toolkit ( http://www.
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