Right ventricular function and lung perfusion in adaptive versus maladaptive experimental pulmonary hypertension
Bibliographic record
Abstract
Introduction: Noninvasive imaging is a powerful tool for the monitoring of disease progression in experimental models of pulmonary hypertension (PH). The aim of the study was to investigate the cardiac function and lung perfusion in monocrotaline (MCT)-induced PH by noninvasive imaging at the different stages of disease progression to define imaging biomarkers of adaptive and maladaptive PH. Methods: The Sprague-Dawley rats were injected subcutaneously either by 60 mg·kg−1 MCT or saline. Cardiac function was measured by echocardiography (Visualsonics, Canada) and contrast enhanced mCT (Quantum GX, PerkinElmer, USA) followed by terminal hemodynamic measurements at day 14 or 35 after MCT or saline injection. The quantitative analyses of the lungs volume and perfusion was performed by Analyze 12 software (AnalyzeDirect, Mayo Clinic). Results: Our date demonstrate that single MCT injection leads to time-dependent abnormalities in the pulmonary vasculature, RV hypertrophy and dysfunction. Echocardiographic evaluation of the RV function demonstrate that in 14 days after MCT injection rats developed compensatory RV hypertrophy without signs of RV systolic dysfunction, but with diastolic dysfunction, whereas at day 35 rats developed severe PH and RV failure. These changes accompanied by impaired lung perfusion at day 35, but not at day 14 after MCT injection. Conclusion: We have demonstrated for the first time the lung perfusion in adaptive and maladaptive MCT-induced PH measured by in vivo non-invasive contrast-enhanced mCT. Our data showed that lung perfusion defect accompanied by vascular remodelling and RV dysfunction.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".