Evidence map›Paper›PMID 40473270›Full record

ArticleBMJ open respiratory research2025

Bronchoscopic lung volume reduction: model for assisted target lobe selection.

Logan Hostetter, Leah M Brown, Srinivasan Rajagopalan, Megan M Dulohery-Scrodin, Eric S Edell, Michael G Lester, Fabien Maldonado, Robert Lentz, Brian J Bartholmai, Tobias Peikert

Abstract read
In one paragraph

Article in BMJ open respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Logan HostetterDepartment of Internal Medicine, Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA.ORCID http://orcid.org/0009-0008-8651-2969
Leah M BrownDepartment of Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Srinivasan RajagopalanDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, USA.
Megan M Dulohery-ScrodinDepartment of Internal Medicine, Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA.
Eric S EdellDepartment of Internal Medicine, Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA.
Michael G LesterDepartment of Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Fabien MaldonadoAllergy, Pulmonary, & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Robert LentzAllergy, Pulmonary, & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Brian J BartholmaiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Tobias PeikertDepartment of Internal Medicine, Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, Minnesota, USA peikert.tobias@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBronchoscopic lung volume reduction with endobronchial valves (EBV) is an effective procedure for patient with severe emphysema to improve lung function, exercise tolerance, dyspnoea and quality of life. Optimisation of patient and treatment lobe selection is essential for successful EBV outcomes. While clinical selection criteria are rigorous, many centres use a multidisciplinary team and rely on previous clinical experience for the selection process. To aid objective clinical decision making, we present a mathematical model to facilitate patient and target lobe selection.

methodsA multidisciplinary team reviewed quantitative high-resolution computed tomography (HRCT) analysis from 119 patients to select candidates for EBV and to select a treatment lobe. Two logistic regression models, (1) candidacy for EBV placement and (2) target-lobe selection, were developed based on the normalised distributions of the four quantitative HRCT variables (fissure completeness score, per cent of voxel density with HU < -910 and HU < -950, and lobar volumes) across all five lung lobes. An external cohort of 50 patients (25 candidates and 25 non-candidates) was used to validate the prediction model.

resultsPerformance measures of the training cohort demonstrated an area under the curve (AUC) of 0.91, accuracy of 81%, sensitivity of 93% and specificity of 78% compared with the multidisciplinary teams' target lobe selection. The validation cohort demonstrated an AUC of 0.89, accuracy of 84%, sensitivity of 88% and specificity of 83% compared with the multidisciplinary team decision making.

conclusionsEndobronchial valve lung volume reduction remains a potent palliative measure to improve quality of life in patients with hyperinflated emphysema. Our model for target lobe selection harnesses the multidisciplinary experience at a tertiary care centre to objectively select candidates and target lobes to assist clinicians' decision making. Future studies investigating prediction of lobar collapse and functional improvement after target lobe selection using our model are needed.

Indexed as

BronchoscopyLungPatient SelectionPneumonectomyPulmonary EmphysemaAgedClinical Decision-MakingFemaleHumansLogistic ModelsMaleMiddle AgedModels, TheoreticalQuality of LifeTomography, X-Ray ComputedBronchoscopyEmphysemaLung Volume Reduction Surgery

Identifiers

PMID40473270
PMCPMC12142073

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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.