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Record W4220748047 · doi:10.1002/jmri.28165

Clinical Feasibility of Structural and Functional <scp>MRI</scp> in <scp>Free‐Breathing</scp> Neonates and Infants

2022· article· en· W4220748047 on OpenAlex
Brandon Zanette, Eric Schrauben, Samal Munidasa, Datta Singh Goolaub, Anuradha Singh, Ailish Coblentz, Elaine Stirrat, Marcus J. Couch, Robert Grimm, Andreas Voskrebenzev, Jens Vogel‐Claussen, Ravi T. Seethamraju, Christopher K. Macgowan, Mary‐Louise C. Greer, Emily Tam, Giles Santyr

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Magnetic Resonance Imaging · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsUniversity of TorontoHospital for Sick Children
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchSiemens Healthineers
KeywordsMedicineMagnetic resonance imagingVentilation (architecture)Cardiorespiratory fitnessNeonatal intensive care unitIntraclass correlationCardiologyInternal medicineNuclear medicineRadiologyPediatrics

Abstract

fetched live from OpenAlex

Background Evaluation of structural lung abnormalities with magnetic resonance imaging (MRI) has previously been shown to be predictive of clinical neonatal outcomes in preterm birth. MRI during free‐breathing with phase‐resolved functional lung (PREFUL) may allow for complimentary functional information without exogenous contrast. Purpose To investigate the feasibility of structural and functional pulmonary MRI in a cohort of neonates and infants with no cardiorespiratory disease. Macrovascular pulmonary blood flows were also evaluated. Study Type Prospective. Population Ten term infants with no clinically defined cardiorespiratory disease were imaged. Infants recruited from the general population and neonatal intensive care unit (NICU) were studied. Field Strength/Sequence T 1 ‐weighted VIBE, T 2 ‐weighted BLADE uncorrected for motion. Ultrashort echo time (UTE) and 3D‐flow data were acquired during free‐breathing with self‐navigation and retrospective reconstruction. Single slice 2D‐gradient echo (GRE) images were acquired during free‐breathing for PREFUL analysis. Imaging was performed at 3 T. Assessment T 1 , T 2 , and UTE images were scored according to the modified Ochiai scheme by three pediatric body radiologists. Ventilation/perfusion‐weighted maps were extracted from free‐breathing GRE images using PREFUL analysis. Ventilation and perfusion defect percent (VDP, QDP) were calculated from the segmented ventilation and perfusion‐weighted maps. Time‐averaged cardiac blood velocities from three‐dimensional‐flow were evaluated in major pulmonary arteries and veins. Statistical Test Intraclass correlation coefficient (ICC). Results The ICC of replicate structural scores was 0.81 (95% CI: 0.45–0.95) across three observers. Elevated Ochiai scores, VDP, and QDP were observed in two NICU participants. Excluding these participants, mean ± standard deviation structural scores were 1.2 ± 0.8, while VDP and QDP were 1.0% ± 1.1% and 0.4% ± 0.5%, respectively. Main pulmonary arterial blood flows normalized to body surface area were 3.15 ± 0.78 L/min/m 2 . Data Conclusion Structural and functional pulmonary imaging is feasible using standard clinical MRI hardware (commercial whole‐body 3 T scanner, table spine array, and flexible thoracic array) in free‐breathing infants. Evidence Level 2 Technical Efficacy Stage 1

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.156
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.021
GPT teacher head0.306
Teacher spread0.285 · 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