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Pulmonary Magnetic Resonance Imaging of Ex-Preterm Children with and without Bronchopulmonary Dysplasia

2022· article· en· W4205673037 on OpenAlexafffund
Sherri L. Katz, Grace Párraga, Thuy Mai Luu, Giles Santyr, Nishard Abdeen, Sylvain Deschênes, Sze Man Tse, Marcus J. Couch, Nicholas Barrowman, Lamia Hayawi, Franco Momoli, Henrietta Blinder, Bernard Thébaud, Anne Monique Nuyt, Nadya Ben Fadel, Theo J. Moraes

Bibliographic record

VenueAnnals of the American Thoracic Society · 2022
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsOttawa HospitalSiemens (Canada)Hospital for Sick ChildrenMontreal Neurological Institute and HospitalSickKids FoundationWestern UniversityUniversity of TorontoRobarts Clinical TrialsCentre Hospitalier Universitaire Sainte-JustineUniversity of OttawaMcGill UniversityChildren's Hospital of Eastern Ontario
FundersLung Health Foundation
KeywordsBronchopulmonary dysplasiaMedicinePulmonary function testingExpirationMagnetic resonance imagingFunctional residual capacityLungLung volumesGestational ageRadiologyInternal medicineRespiratory systemPregnancy

Abstract

fetched live from OpenAlex

Abstract Rationale Children born prematurely, particularly those with bronchopulmonary dysplasia, have persisting lung abnormalities requiring longitudinal monitoring. Pulmonary ultrashort echo time magnetic resonance imaging (MRI) measurements may provide sensitive markers of persisting lung abnormalities and have not been evaluated in school-aged children born prematurely. Objectives To compare pulmonary MRI and pulmonary function test measurements in preterm-born school-aged children with and without bronchopulmonary dysplasia. Methods Children aged 7–9 years, born extremely preterm, with and without bronchopulmonary dysplasia, were recruited from three centers. Participants underwent pulmonary ultrashort echo time MRI and pulmonary function tests. Primary outcomes included total proton density and proton density at full expiration, measured using MRI. Multiple linear regression analysis was performed, adjusting for gestational age and bronchopulmonary dysplasia. Associations between MRI and pulmonary function were tested. Results Thirty-five children were included in the primary analysis (24 with bronchopulmonary dysplasia, 11 without); 29 completed pulmonary function tests, of whom 11 (38%) had airflow limitation. Children with bronchopulmonary dysplasia had 44% (95% confidence interval [CI], 10–66%) lower mean total proton density (mean ± standard deviation, 3.6 ± 2.6) than those without (6.1 ± 4.0). Those with bronchopulmonary dysplasia had 25% (95% CI, 3–42%) lower proton density at full expiration than those without. Lower total proton density and proton density at full expiration were moderately correlated with greater residual volume, residual volume/total lung capacity, and lung clearance index (Spearman correlations for total proton density: −0.42, −0.57, and −0.53, respectively. Spearman correlations for proton density at full expiration: −0.28, −0.57, and −0.45, respectively). Conclusions School-aged preterm-born children with bronchopulmonary dysplasia have parenchymal tissue abnormalities measured using ultrashort MRI proton density, compared with those without. MRI proton density correlated with pulmonary function measures indicative of gas trapping. Clinical trial registered with www.clinicaltrials.gov (NCT02921308).

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.049
GPT teacher head0.387
Teacher spread0.339 · 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".

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Citations13
Published2022
Admission routes2
Has abstractyes

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