Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions

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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UNC Libraries
Published
2024-10-23
DOI
https://doi.org/10.17615/5n7j-3d86
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
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article

Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions

Suchitra Pilli, Ali Sadoughi, Tej A. Patel, Danish Ahmad et al.
UNC Libraries
Lung Cancer Diagnosis and Treatment
article

Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions

Suchitra Pilli, Ali Sadoughi, Tej A. Patel, Danish Ahmad, Allen Cole Burks, Nathaniel Moulton, Alexander C. Chen, Essam Mekhaiel, Andrea Loiselle, Kevin Haas, Brandt Lydon, Praveen Chenna, Mohammed Abbasi
article en

Abstract

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.

UNC Libraries
University of North Carolina at Chapel Hill (US)
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Openalex Percentile: Top 66%
Lung Cancer Diagnosis and Treatment
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