Functional Thoracic MRI: Recent Advances in Pulmonary Assessment
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.
Bibliographic record
Abstract
Functional thoracic MRI provides regional assessment of the three principal components of lung function: ventilation, perfusion, and gas exchange. It offers advantages over pulmonary function tests like spirometry, which yield only global measurements. MRI enables comprehensive evaluation of respiratory mechanics, including chest wall and diaphragm motion, dynamic large airway instability, and lung ventilation using various contrast mechanisms and gas agents. Perfusion imaging, with or without exogenous contrast material, further supports the assessment of mechanical lung properties in both healthy and diseased states. Advanced MRI techniques also allow for quantification of distal airspace dimensions and gas exchange or diffusion capacity using inert noble gases, at both global and regional levels. Dynamic contrast-enhanced perfusion MRI enables assessment of key pathophysiologic mechanisms, such as hypoxic pulmonary vasoconstriction, and provides direct visualization of ventilation-perfusion mismatch across various lung diseases. Emerging noninvasive, non-contrast-enhanced techniques, including combined ventilation-perfusion imaging based on signal oscillations from blood flow and respiration, hold substantial promise for clinical translation. This review provides an overview of recent advances in functional thoracic MRI for evaluating regional lung function and pathophysiology.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it