Clinical Feasibility of Structural and Functional <scp>MRI</scp> in <scp>Free‐Breathing</scp> Neonates and Infants
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".