Evidence map›Paper›PMID 38090299›Full record

ArticleJournal of thoracic disease2023

Performance of radial endobronchial ultrasound for peripheral pulmonary lesions without automation technology in tuberculous endemic region: real-world experience in a single institution over 6 years.

Sze Shyang Kho, Shirin Hui Tan, Chan Sin Chai, Nga Hung Ngu, Mei Ching Yong, Swee Kim Chan, Siew Teck Tie

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Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sze Shyang KhoDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Shirin Hui TanClinical Research Center, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Chan Sin ChaiDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Nga Hung NguDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Mei Ching YongDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Swee Kim ChanDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.
Siew Teck TieDivision of Respiratory Medicine, Department of Medicine, Sarawak General Hospital, Ministry of Health Malaysia, Kuching, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peripheral pulmonary lesions (PPLs) in tuberculous endemic regions present a unique diagnostic challenge, as tuberculous PPL can mimic malignancy and potentially delay diagnosis for both conditions without a confirmatory investigation. While bronchoscopic biopsy using radial endobronchial ultrasound (rEBUS) guidance is becoming more common among pulmonologists, it is often performed with additional automation technology such as virtual bronchoscopic and electromagnetic navigation. This study aimed to evaluate the performance of rEBUS without such automation technology over a 6-year period in our institution. Methods: Retrospective chart review of all adult patients undergoing rEBUS-guided transbronchial biopsy for PPL in our institution over 6 years duration (October 2016 to December 2022). Results: A total of 551 PPLs were included with median target lesion size of 2.70 (interquartile range, 2.10-3.70) cm. In total, 84.2% of lesion demonstrated direct bronchus sign with 46.3% demonstrating concentric rEBUS orientation. The overall diagnostic yield was 78.8% [95% confidence interval (CI): 75.1-82.1%], with 1.1% rate of pneumothorax. Among the conclusive cases, 62.7% were malignant while 37.3% were tuberculous. Bronchus sign [adjusted odds ratio (adj. OR): 2.268] and concentric rEBUS orientation (adj. OR: 3.426) are independent predictors for conclusive procedure. The sensitivity of rEBUS for malignant and tuberculous disease was 85.27% (95% CI: 80.89-88.97%) and 71.77% (95% CI: 62.99-79.49%) respectively. A significant improving trend of diagnostic yield over time with reduction of median PPL size was observed with introduction of cryobiopsy and thin bronchoscopy into rEBUS service. Conclusions: rEBUS without automation technology remains relevant and useful in this era. rEBUS provides a rapid and safe diagnosis of PPL which may translate into better patient care.

Indexed as

lung cancerRadial endobronchial ultrasound (rEBUS)tuberculous nodule

Identifiers

PMID38090299
PMCPMC10713303

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.