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Record W4320710146 · doi:10.1002/jmri.28638

Intra<scp>‐</scp> and <scp>Inter‐visit</scp> Repeatability of <scp><sup>129</sup>Xenon Multiple‐Breath</scp> Washout <scp>MRI</scp> in Children With Stable Cystic Fibrosis Lung Disease

2023· article· en· W4320710146 on OpenAlexafffund
Faiyza Alam, Brandon Zanette, Samal Munidasa, Sharon Braganza, D. Li, Jason C. Woods, Félix Ratjen, Giles Santyr

Bibliographic record

VenueJournal of Magnetic Resonance Imaging · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health ResearchCystic Fibrosis Foundation
KeywordsRepeatabilityIntraclass correlationCoefficient of variationMedicineNuclear medicineWashoutVentilation (architecture)Cystic fibrosisSpirometryCorrelation coefficientInternal medicineChemistryMathematicsPhysicsAsthma

Abstract

fetched live from OpenAlex

Background Multiple‐breath washout (MBW) 129 Xe MRI (MBW Xe‐MRI) is a promising technique for following pediatric cystic fibrosis (CF) lung disease progression. However, its repeatability in stable CF needs to be established to use it as an outcome measure for novel therapies. Purpose To assess intravisit and intervisit repeatability of MBW Xe‐MRI in healthy and CF children. Study Type Prospective, longitudinal cohort study. Subjects A total of 18 pediatric subjects (7 healthy, 11 CF). Field Strength/Sequence A 3 T/2D coronal hyperpolarized (HP) 129 Xe images using GRE sequence. Assessment All subjects completed MBW Xe‐MRI, pulmonary function tests (PFTs) (spirometry, nitrogen [N 2 ] MBW for lung clearance index [LCI]) and ventilation defect percent (VDP) at baseline (visit 1) and 1‐month after. Fractional ventilation (FV), coefficient of variation (CoV FV ) maps were calculated from MBW Xe‐MRI data acquired between intervening air washout breaths performed after an initial xenon breath‐hold. Skewness of FV and CoV FV map distributions was also assessed. Statistical Tests Repeatability: intraclass correlation coefficients (ICC), within‐subject coefficient of variation (CV%), repeatability coefficient (CR). Agreement: Bland–Altman. For correlations between MBW Xe‐MRI, VDP and PFTs: Spearman's correlation. Significance threshold: P &lt; 0.05. Results For FV, intravisit median [IQR] ICC was high in both healthy (0.94 [0.48, 0.99]) and CF (0.83 [0.04, 0.97]) subjects. CoV FV also had good intravisit ICC in healthy (0.92 [0.42, 0.99]) and CF (0.79 [0.02, 0.96]) subjects. Similarly, for FV, intervisit ICC was high in health (0.94 [0.68, 0.99]) and CF (0.89 [0.61, 0.97]). CoV FV also had good intervisit ICC in health (0.92 [0.42, 0.99]) and CF (0.78 [0.26, 0.94]). FV had better intervisit repeatability than VDP. CoV FV correlated significantly with LCI ( R = 0.56). Skewness of FV distributions significantly distinguished between cohorts at baseline. Data Conclusion MBW Xe‐MRI had high intravisit and intervisit repeatability in healthy and stable CF subjects. CoV FV correlated with LCI, suggesting the importance of ventilation heterogeneity to early CF. Evidence Level 1. 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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 teacher head, not a consensus.

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

Citations17
Published2023
Admission routes2
Has abstractyes

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