Heart failure & cardiomyopathies
Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics
Authors' conclusion
PTT as an easily, even automatically obtainable and robust non-invasive biomarker of haemodynamics might help in the evaluation of patients with dyspnoea and HF.
Study context
- Population
- Patients undergoing routine stress perfusion CMR (unclear dyspnoea or heart failure (HF))86 with NT-proBNP
- Participants
- 352 patients
- Outcome
- PTT for HF exclusion (NT-proBNP <125 ng/L) and inclusion (NT-proBNP >600 ng/L)
Methodological detailsAI-based automatic assessment
- AI-based automatic assessment
Performance
As reported in the abstract
| Test or model | AUC, exclusion of HF | Specificity, exclusion of HF | Sensitivity, exclusion of HF | AUC, inclusion of HF | Specificity, inclusion of HF | Sensitivity, inclusion of HF |
|---|---|---|---|---|---|---|
| Pulmonary transit time (PTT) | 0.73 (P < 0.001) | 77% | 70% | 0.70 (P < 0.001) | 78% | 61% |
Pulmonary transit time (PTT)
AUC, exclusion of HF0.73 (P < 0.001)
Specificity, exclusion of HF77%
Sensitivity, exclusion of HF70%
AUC, inclusion of HF0.70 (P < 0.001)
Specificity, inclusion of HF78%
Sensitivity, inclusion of HF61%
Further findings
- PTT significantly higher with reduced LVEF (<40%)
- P < 0.001
- PTT significantly higher with reduced RVEF (<40%)
- P < 0.0001
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Pulmonary transit time of cardiovascular magnetic resonance perfusion scans for quantification of cardiopulmonary haemodynamics. Eur Heart J Cardiovasc Imaging. Published 20 January 2023. doi:10.
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