Background: Radial probe endobronchial ultrasound (R-EBUS) is often utilized in guided bronchoscopy for the diagnosis of peripheral pulmonary lesions. R-EBUS probe positioning has been shown to correlate with diagnostic yield, but overall diagnostic yield with this technology has been inconsistent across the published literature. Currently there is no standardization for R-EBUS image interpretation, which may result in variability in grading concentricity of lesions and subsequently procedure performance. This was a survey-based study evaluating variability among practicing pulmonologists in R-EBUS image interpretation.
Methods: R-EBUS images from peripheral bronchoscopy cases were sent to 10 practicing Interventional Pulmonologists at two different time points (baseline and 3 months). Participants were asked to grade the images as concentric, eccentric, or no image. Cohen's Kappa-coefficient was calculated for inter- and intra-observer variability.
Results: A total of 100 R-EBUS images were included in the survey. There was 100% participation with complete survey responses from all 10 participants. Overall kappa-statistic for inter-observer variability for Survey 1 and 2 was 0.496 and 0.477 respectively. Overall kappa-statistic for intra-observer variability between the two surveys was 0.803.
Conclusions: There is significant variability between pulmonologists when characterizing R-EBUS images. However, there is strong intra-rater agreement from each participant between surveys. A standardized approach and grading system for radial EBUS patterns may improve inter-observer variability in order to optimize our clinical use and research efforts in the field.
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http://dx.doi.org/10.21037/jtd-23-998 | DOI Listing |
Endosc 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
September 2024
Department of Respiratory and Critical Care Medicine, Key Laboratory of Respiratory Disease of Ningbo, The First Affiliated Hospital of Ningbo University, 59 Liuting Road, Ningbo, 315010, China.
Background: A 3.0-mm ultrathin bronchoscope (UTB) with a 1.7-mm working channel provides better accessibility to peripheral bronchi.
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.
J Vis Exp
July 2024
Division of Pulmonary and Critical Care Medicine, University of Texas Southwestern Medical Center;
Robotic-assisted bronchoscopy (RAB) allows for targeted bronchoscopic biopsy in the lung. A robotic-assisted bronchoscope is navigated through the airways under direct vision after establishing a pathway to a target lesion based on mapping performed on a 3-dimensional (3D) lung and airway reconstruction obtained from a pre-procedure thin-slice computed tomography chest. RAB has maneuverability to distal airways throughout the lung, precise catheter tip articulation, and stability with the robotic arm.
View Article and Find Full Text PDFExpert Rev Med Devices
September 2024
Department of Respiratory and Critical Care Medicine, Sichuan Provincial People's Hospital, School of Medicine University of Electronic Science and Technology of China, Chengdu, China.
Background: The diagnosis of peripheral pulmonary lesions (PPLs) remains challenging. Despite advancements in guided transbronchial biopsy (TBB) techniques, diagnostic yields haven't reached ideal levels. Optical coherence tomography (OCT) has been developed for application in pulmonary diseases, yet no data existed evaluating effectiveness in diagnosing PPLs.
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