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Record W4391934544 · doi:10.1016/j.acra.2024.01.039

Phase-Resolved Functional Lung (PREFUL) MRI to Quantify Ventilation: Feasibility and Physiological Relevance in Severe Asthma

2024· article· en· W4391934544 on OpenAlexafffund
Yonni Friedlander, Samal Munidasa, A. Thakar, Nandhitha Ragunayakam, Carmen Venegas, Melanie Kjarsgaard, Brandon Zanette, Dante P. I. Capaldi, Giles Santyr, Parameswaran Nair, Sarah Svenningsen

Bibliographic record

VenueAcademic Radiology · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsHospital for Sick ChildrenMcMaster UniversityUniversity of TorontoSt. Joseph’s Healthcare Hamilton
FundersCanada Research ChairsTeva Pharmaceutical Industries
KeywordsAsthmaMedicineLungVentilation (architecture)Clinical significanceRelevance (law)Lung ventilationIntensive care medicineRadiologyPathologyInternal medicinePhysics

Abstract

fetched live from OpenAlex

Rationale and Objectives Emergent evidence in several respiratory diseases supports translational potential for Phase-Resolved Functional Lung (PREFUL) MRI to spatially quantify ventilation but its feasibility and physiological relevance have not been demonstrated in patients with asthma. This study compares PREFUL-derived ventilation defect percent (VDP) in severe asthma patients to healthy controls and measures its responsiveness to bronchodilator therapy and relation to established measures of airways disease. Materials and Methods Forty-one adults with severe asthma and seven healthy controls performed same-day free-breathing 1 H MRI, 129 Xe MRI, spirometry, and oscillometry. A subset of participants (n = 23) performed chest CT and another subset of participants with asthma (n = 19) repeated 1 H MRI following the administration of a bronchodilator. VDP was calculated for both PREFUL and 129 Xe MRI. Additionally, the percent of functional small airways disease was determined from CT parametric response maps (PRM fSAD ). Results PREFUL VDP measured pre-bronchodilator (19.1% [7.4–43.3], p = 0.0002) and post-bronchodilator (16.9% [6.1–38.4], p = 0.0007) were significantly greater than that of healthy controls (7.5% [3.7–15.5]) and was significantly decreased post-bronchodilator (from 21.9% [10.1–36.9] to 16.9% [6.1–38.4], p = 0.0053). PREFUL VDP was correlated with spirometry (FEV 1 % pred : r = −0.46, p = 0.0023; FVC% pred : r = −0.35, p = 0.024, FEV 1 /FVC: r = −0.46, p = 0.0028), 129 Xe MRI VDP (r = 0.39, p = 0.013), and metrics of small airway disease (CT PRM fSAD : r = 0.55, p = 0.021; Xrs 5 Hz : r = −0.44, p = 0.0046, and AX: r = 0.32, p = 0.044). Conclusion PREFUL-derived VDP is responsive to bronchodilator therapy in asthma and is associated with measures of airflow obstruction and small airway dysfunction. These findings validate PREFUL VDP as a physiologically relevant and accessible ventilation imaging outcome measure in asthma.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.065
GPT teacher head0.370
Teacher spread0.306 · 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".

Quick stats

Citations20
Published2024
Admission routes2
Has abstractyes

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