Evaluating diagnostic yield and accuracy as key performance metrics in pulmonary lung lesions
Junsu Choe, Hyunseung Nam, Hwan-ho Cho, Sun Hye Shin, Byeong-Ho Jeong, Sang-Won Um, Hojoong Kim, Kyungjong Lee

TL;DR
This study validates a conservative definition of diagnostic yield for evaluating bronchoscopy performance in diagnosing lung lesions.
Contribution
The conservative definition of diagnostic yield is validated as a reliable endpoint for bronchoscopy performance evaluation.
Findings
R-EBUS-guided TBLB revealed malignancy in 58.6% of 736 patients.
Lesion size (>20 mm), CT-bronchus subclassification, and radial probe position predict successful biopsy.
Conservative diagnostic yield and accuracy were identical at 67%.
Abstract
A conservative definition of diagnostic yields for assessing the performance of guided bronchoscopy has been proposed, but it has yet to be validated in practice. Patients who underwent radial endobronchial ultrasound (R-EBUS) between April 2020 and April 2023 were included in the study. Diagnostic results were classified as malignant or non-malignant based on the post-lung-biopsy pathology. Non-malignant results were further categorized into specific benign (SB), nonspecific benign (NSB), atypical cells, and non-diagnostic (ND). All non-malignant lesions were confirmed using alternative biopsy methods or chest computed tomography (CT) during a follow-up of over 1 year. Diagnostic yield and accuracy were calculated using pre-defined methods (Box below). Predictors of sampling success were identified in a logistic regression analysis. Among the 736 patients evaluated in this study,…
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Taxonomy
TopicsLung Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging · Lung Cancer Treatments and Mutations
