Evaluating diagnostic yield and accuracy as key performance metrics in pulmonary lung lesions Article Swipe
Junsu Choe
,
Hyunseung Nam
,
Hwan-ho Cho
,
Sun Hye Shin
,
Byeong‐Ho Jeong
,
Sang‐Won Um
,
Hojoong Kim
,
Kyungjong Lee
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2025.1572779
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2025.1572779
Objective 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. Methods 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. Results Among the 736 patients evaluated in this study, R-EBUS-guided TBLB revealed malignancy in 431 (58.6%) patients. The remaining 305 (41.4%) patients with non-malignant lesions were classified as SB (8.3%), NSB (21.3%), atypia (4.6%), and ND (7.2%). Diagnostic yield vs. accuracy values based on conservative, intermediate, and liberal definitions were 67% vs. 67, 88% vs. 77, and 100% vs. 79%, respectively. Thus, for the conservative definition, diagnostic accuracy and diagnostic yield were identical. Significant predictive factors for successful lung biopsy according to the conservative diagnostic yield included lesion size (> 20 mm), CT-bronchus subclassification (Ia, Ib), and radial probe position within the lesion. Conclusion Our study validated the use of the conservative definition of diagnostic yield as a reliable diagnostic endpoint for evaluating the performance of guided bronchoscopy. This definition could serve as a time-saving standard in prospective studies comparing the diagnostic effectiveness of various navigation devices.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmed.2025.1572779
- https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1572779/pdf
- OA Status
- gold
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410183498
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4410183498Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmed.2025.1572779Digital Object Identifier
- Title
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Evaluating diagnostic yield and accuracy as key performance metrics in pulmonary lung lesionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-07Full publication date if available
- Authors
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Junsu Choe, Hyunseung Nam, Hwan-ho Cho, Sun Hye Shin, Byeong‐Ho Jeong, Sang‐Won Um, Hojoong Kim, Kyungjong LeeList of authors in order
- Landing page
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https://doi.org/10.3389/fmed.2025.1572779Publisher landing page
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https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1572779/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1572779/pdfDirect OA link when available
- Concepts
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Key (lock), Lung, Yield (engineering), Computer science, Medicine, Radiology, Internal medicine, Materials science, Computer security, MetallurgyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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