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Record W4402461840 · doi:10.1002/jmri.29605

Same‐Day Repeatability and 28‐Day Reproducibility of Xenon <scp>MRI</scp> Ventilation in Children With Cystic Fibrosis in a Multi‐Site Trial

2024· article· en· W4402461840 on OpenAlexafffund
Laura L. Walkup, David J. Roach, Joseph W. Plummer, Matthew M. Willmering, Brandon Zanette, Giles Santyr, Sean B. Fain, Michael J. Rock, Jaime F. Mata, Deborah Froh, Sanja Stanojevic, Zackary I. Cleveland, Félix Ratjen, Jason C. Woods

Bibliographic record

VenueJournal of Magnetic Resonance Imaging · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of TorontoDalhousie UniversityHospital for Sick Children
FundersNational Center for Advancing Translational SciencesHospital for Sick ChildrenMcMaster UniversityNational Institute of Environmental Health SciencesAmerican Thoracic SocietyUniversity of CincinnatiNational Institutes of HealthCincinnati Children's Hospital Medical CenterUniversity of Wisconsin-MadisonCystic Fibrosis Foundation
KeywordsReproducibilityRepeatabilityMedicineNuclear medicineInterquartile rangeMagnetic resonance imagingPopulationLung volumesVentilation (architecture)RadiologyLungInternal medicineChemistry

Abstract

fetched live from OpenAlex

BACKGROUND: MRI with xenon-129 gas (Xe MRI) can assess airflow obstruction and heterogeneity in lung diseases. Specifically, Xe MRI may represent a sensitive modality for future therapeutic trials of cystic fibrosis (CF) therapies. The reproducibility of Xe MRI has not yet been assessed in the context of a multi-site study. PURPOSE: To determine the same-day repeatability and 28-day reproducibility of Xe MRI in children with CF. STUDY TYPE: Four-center prospective, longitudinal. POPULATION: ) ≥85% predicted). FIELD STRENGTH/SEQUENCE: 3-T, two-dimensional (2D) gradient-echo (GRE) sequence. ASSESSMENT: ) were performed. To assess same-day reproducibility, Xe MRI was performed twice within the first visit, and procedures were repeated at 28 days. Xe hypoventilation was quantified using ventilation-defect percentage (VDP) and reader-defect volume (RDV). For VDP, hypoventilated voxels from segmented images were identified using a threshold of <60% mean whole-lung signal and expressed as a percentage of the lung volume. For RDV, hypoventilation was identified by two trained readers and expressed as a percentage. STATISTICAL TESTS: Inter-site comparisons were conducted using Kruskal-Wallis nonparametric tests with Dunn's multiple-comparisons tests. Differences for individuals were assessed using Wilcoxon matched-pairs tests. Bland-Altman tests were used to evaluate same-day repeatability, 28-day reproducibility, and inter-reader agreement. A P-value ≤0.05 was considered significant. RESULTS: was 6.6 (6.3-7.4). Xe MRI had high same-day reproducibility (mean VDP difference 0.12%, 95% limits of agreement [-3.2, 3.4]; mean RDV difference 0.42% [-2.5, 3.3]). At 28 days, 26/31 participants (84%) fell within the same-day 95% limits of agreement. DATA CONCLUSION: Xe MRI may offer excellent same-day and short-term reproducibility. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 2.

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)0.019
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.011
GPT teacher head0.277
Teacher spread0.266 · 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.

Study designObservational
DomainReproducibility
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

Citations17
Published2024
Admission routes2
Has abstractyes

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