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Record W2065327759 · doi:10.1148/radiol.11110403

Chronic Obstructive Pulmonary Disease: Quantification of Bronchodilator Effects by Using Hyperpolarized He MR Imaging

2011· article· en· W2065327759 on OpenAlexaff
Miranda Kirby, Lindsay Mathew, Mohammadreza Heydarian, Roya Etemad‐Rezai, David G. McCormack, Grace Párraga

Bibliographic record

VenueRadiology · 2011
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsMedicinePlethysmographCOPDSpirometryNuclear medicineBronchodilatorMagnetic resonance imagingSalbutamolPulmonary function testingLung volumesAnesthesiaRadiologyAsthmaLungInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate short-acting bronchodilator effects in chronic obstructive pulmonary disease (COPD) by using hyperpolarized helium 3 (³He) magnetic resonance (MR) imaging, spirometry, and plethysmography. MATERIALS AND METHODS: Fourteen ex-smokers with COPD provided written informed consent to a local ethics board-approved and Health Insurance and Portability Accountability Act-compliant protocol and underwent hyperpolarized ³He and hydrogen 1 MR imaging, spirometry, and plethysmography before and a mean of 25 minutes ± 2 (standard deviation) after administration of 400 μg salbutamol. Distribution of ³He gas was evaluated by using semiautomated segmentation of ³He voxel intensities, where cluster 1 represented regions of signal void or ventilation defect volume (VDV), and clusters 2-5 (C2-C5) represented gradations of signal intensity from hypointensity (C2) to hyperintensity (C5). ³He ventilation defect percentage (VDP) was calculated as VDV normalized to the thoracic cavity volume. Comparisons of pre- and post-salbutamol means were performed by using a two-way mixed-design repeated measures analysis of variance, and comparisons of the magnitude of the treatment effect between pulmonary function and ³He MR imaging measurements were performed by using effect size (ES) calculations. The relationships between pulmonary function and ³He MR imaging findings were determined by using Spearman correlation coefficients. RESULTS: After salbutamol administration, there were significant changes in forced expiratory volume in 1 second (FEV₁) (P = .001), total lung capacity (P = .04), and functional residual capacity (P = .03), as well as VDP (P < .0001) and ³He gas distribution (C2, P = .01; C3, P = .03; C4, P < .0001; and C5, P = .02). Treatment ES was greater for ³He VDP than for FEV(1) (0.50 vs 0.22). There was a significant correlation between baseline VDP and post-salbutamol FEV₁ change (r = -0.77, P = .001). Although five patients were classified as bronchodilator responders and nine patients were classified as bronchodilator nonresponders according to American Thoracic Society and European Respiratory Society criteria, there was no significant difference in the magnitude of the ³He MR imaging changes after salbutamol administration between responder groups. CONCLUSION: ³He MR imaging depicted significant improvements in the distribution of ³He gas after bronchodilator therapy in ex-smokers with COPD with and those without clinically important changes in FEV₁.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.273
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations79
Published2011
Admission routes1
Has abstractyes

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