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Bronchopulmonary Dysplasia Patients Have Preserved CT‐Measured Central Airway Luminal Area

2020· article· en· W3016457619 on OpenAlexaffabout
Winston Guo, Ilhan M. Eli, Juan G. Ripoll, Sarah E. Baker, John R.A. Shepherd, Chad C. Wiggins, Michael J. Joyner, Paolo B. Dominelli

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMedicineAirwayBronchopulmonary dysplasiaBronchusHypoplasiaRight Main BronchusLobeLungBronchoscopyRadiologyCardiologyInternal medicineRespiratory diseasePathologySurgeryGestational age

Abstract

fetched live from OpenAlex

Objective Bronchopulmonary dysplasia (BPD) is a condition of neonatal chronic lung disease due to disruption or dysregulation of pulmonary development. It is associated with decreased septation, alveolar hypoplasia, and abnormal disruption of pulmonary alveolar capillaries resulting in increased pulmonary resistance. However, the pathophysiology of BPD in the large conducting airways is not fully understood. The objective of our study was to determine if the luminal area of the central airways, measured by imaging, are altered in patients with a history of BPD. We hypothesized that compared to age‐ and sex‐matched controls, BPD patients would have a decreased luminal area of the central conducting airways and lung volume. Methods Fourteen BPD patients (8M/6F; Age=5.7±5.5 yrs) who had undergone a chest computed tomography (CT) scan were retrospectively identified. Age and sex matched controls (8M/6F, Age=5.6±5.3 yrs) who had undergone a CT scan for trauma were used for comparison. Measurement and analysis were performed by a single investigator using commercially available software (Aquarius, TeraRecon Inc.) that reconstructs the airways into 3D. Measurements of luminal airway area were conducted at three points based on anatomic bifurcations (corresponding to the beginning, middle and end of the airway) for each of the following structures: trachea, left main bronchus, left upper lobe, left lower lobe, right main bronchus, intermediate bronchus, and right upper lobe. Each airway’s luminal area was calculated based on the averages of the three measures obtained for each anatomic airway structure. Independent Student’s t‐test was used for statistical analysis. Results Airway luminal area was not different between BPD patients and matched controls (trachea: 89.8±57.1 vs 87.4±58.6 mm 2 ; right main bronchus: 58.8±40.8 vs 64.0±44.5 mm 2 ; intermediate bronchus: 33.6±21.2 vs 41.0±28.9 mm 2 ; left main bronchus: 39.3±27.1 vs 46.6±36.5 mm 2 ; left lower lobe: 22.7±14.6 vs 29.9±18.9 mm 2 ; p>0.05 for all comparisons; BPD and controls, respectively). Total lung volume detected in the CT scans was not different between BPD patients and matched controls (3069±1073 vs 3215±984 cm 3 , p>0.05). Conclusions Our results suggest the luminal areas of the large conducting airways in patients with BPD are not different from matched controls. Given the degree of respiratory complications and sequelae associated with BPD, our findings suggest future research should focus on alveolar and vascular impaired physiological and anatomic developments versus the large conducting airways. Support or Funding Information National Institutes of Health Grants R35‐HL139854 (MJJ), F32 HL‐131151 (SEB), T32 DK‐007352‐39 (CCW) and Mayo Clinic Internal Funding and Natural Science and Engineering Council of Canada RGPIN‐2019‐04615 (PBD)

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.310
Teacher spread0.246 · 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".

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Citations1
Published2020
Admission routes2
Has abstractyes

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