MétaCan
Menu
Back to cohort
Record W4407341337 · doi:10.1080/25310429.2024.2436274

The utility of dynamic chest radiography in patients with asthma, COPD, COVID-19 and ILD: A pilot study

2025· article· en· W4407341337 on OpenAlexaff
Ryan Robinson, Fred Fyles, R C Burton, Amy Nuttall, Karl Hunter, Thomas Simon FitzMaurice, Reynaldo Martina, Diana Penha, Ram Bedi, Hassan Burhan

Bibliographic record

VenuePulmonology · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsMedicineConfidence intervalCOPDRadiographyPulmonary function testingAsthmaDigital radiographyVital capacityThorax (insect anatomy)LungInterstitial lung diseaseLung volumesRadiologyPhysical therapyInternal medicineNuclear medicineLung functionDiffusing capacity

Abstract

fetched live from OpenAlex

Introduction and Objectives Assessment of breathlessness requires a combination of imaging and lung function testing. Dynamic digital radiography (DDR) of the thorax is an imaging technique that allows physiological and anatomical information to be gathered at the time of chest X-ray and has the potential to significantly streamline diagnostic pathways. The aims of this study were to investigate the acceptability of DDR to patients and explore the correlation between DDR-derived measurements with lung volumes measured using full pulmonary function tests (PFT).Materials and Methods We conducted a single-centre, prospective, pilot study of patients with confirmed asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease (ILD) or post-COVID-19 infection. Participants underwent DDR and paired PFT between March 2021 and August 2022. Dynamic digital radiography acceptability was measured using a 10-cm visual analogue scale (VAS). Point estimates and exact confidence intervals were used to evaluate participant preference. Digital dynamic radiography would be considered acceptable if the lower bound of the 95% confidence interval (exact) is greater than 50%. Pearson correlation (r) was used to explore associations between DDR measurements and PFT parameters.Results 40 participants (asthma, n = 11; COPD, n = 9; ILD, n = 11; post-COVID, n = 9) had DDR with adequate image acquisition and PFT. Mean age of participants was 63.38 years (standard deviation 14.89) and 63% were male (25/40). The lower 95% confidence interval threshold for VAS acceptability was 92% for all groups combined and considered acceptable. The projected lung area at end inspiration (PLAinsp) closely correlated with total lung capacity across all disease cohorts (r = 0.80, p < 0.001) and projected lung area at end expiration (PLAexp) was strongly correlated with residual volume in airways disease (COPD: r = 0.87, p = 0.003; asthma: r = 0.85, p = 0.002).Conclusion Dynamic digital radiography is an acceptable investigation for respiratory patients. DDR-derived measurements correlate with lung volumes obtained from PFTs. Larger studies are required to validate DDR as a possible method to identify and monitor air trapping in airways disease, allowing early detection and assessment of treatment effectiveness.

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 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)0.000
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 score0.017
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.299
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuePulmonologySame topicChronic Obstructive Pulmonary Disease (COPD) ResearchFrench-language works237,207