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Distribution of normalized pulmonary transit time per pathology in a population of routine CMR examinations

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Abstract

Pulmonary transit time (PTT), defined as the time taken for a contrast agent bolus to pass from the right ventricle to the left ventricle, is a surrogate for non-invasive assessment of preload. It is used in several imaging modalities: pulmonary angiography, echocardiography and cardiac magnetic resonance (CMR). Many recent studies have highlighted the prognostic value of PTT. Therefore, we sought to evaluate PTT in a consecutive cohort of patients undergoing CMR. We retrospectively evaluated PTT normalised for heart rate in 278 patients (66% male, mean age 58 ± 11 years) who underwent CMR between August 2017 and November 2021 with a diagnosis of dilated cardiomyopathy, infarct, hypertrophy, valvular, myocarditis, other pathology or no pathology (“normal”). Normalised pulmonary transit time (nPTT) was higher in men than in women (8.4 ± 1.3 beats vs 7.5 ± 1.1 beats, p = 0.002) in the “normal” group. nPTT was moderately correlated with left ventricular end-diastolic volume (LVEDV) (r2 = 0.19; p < 0.001), left ventricular end-systolic volume (LVESV) (r2 = 0.34; p < 0.001) and left ventricular ejection fraction (LVEF) (r2 = 0.29; p < 0.001). nPTT was significantly higher in patients with dilated cardiomyopathy (11.3 ± 5.4 beats; p < 0.001), infarct (9.5 ± 2.9 beats; p < 0.001) or valvular heart disease (9.5 ± 3.1 beats; p = 0.006) than in patients included in the “normal” group (7.9 ± 1.3 beats). The nPTT is an important marker of pathology. Its value depends on sex and type of pathology, but it is not specific for any type of pathology.

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References

  1. Gödje O et al (1998) Central venous pressure, pulmonary capillary wedge pressure and intrathoracic blood volumes as preload indicators in cardiac surgery patients. Eur J Cardio-Thorac Surg. 13:533–539 (discussion 539-540)

    Article  Google Scholar 

  2. Lancellotti P et al (2017) Echo-Doppler estimation of left ventricular filling pressure: results of the multicentre EACVI Euro-Filling study. Eur Heart J Cardiovasc Imaging 18:961–968

    Article  PubMed  Google Scholar 

  3. Nauta JF et al (2018) Correlation with invasive left ventricular filling pressures and prognostic relevance of the echocardiographic diastolic parameters used in the 2016 ESC heart failure guidelines and in the 2016 ASE/EACVI recommendations: a systematic review in patients with heart failure with preserved ejection fraction. Eur J Heart Fail 20:1303–1311

    Article  PubMed  Google Scholar 

  4. Goedje O, Seebauer T, Peyerl M, Pfeiffer UJ, Reichart B (2000) Hemodynamic monitoring by double-indicator dilution technique in patients after orthotopic heart transplantation. Chest 118:775–781

    Article  PubMed  CAS  Google Scholar 

  5. Kumar A et al (2004) Pulmonary artery occlusion pressure and central venous pressure fail to predict ventricular filling volume, cardiac performance, or the response to volume infusion in normal subjects. Crit Care Med 32:691–699

    Article  PubMed  Google Scholar 

  6. Huber W et al (2008) Volume assessment in patients with necrotizing pancreatitis: a comparison of intrathoracic blood volume index, central venous pressure, and hematocrit, and their correlation to cardiac index and extravascular lung water index. Crit Care Med 36:2348–2354

    Article  PubMed  Google Scholar 

  7. Ricci F et al (2018) Prognostic value of pulmonary blood volume by first-pass contrast-enhanced CMR in heart failure outpatients: the PROVE-HF study. Eur Heart J Cardiovasc Imaging 19:896–904

    Article  PubMed  CAS  Google Scholar 

  8. Houard L et al (2021) Prognostic value of pulmonary transit time by cardiac magnetic resonance on mortality and heart failure hospitalization in patients with advanced heart failure and reduced ejection fraction. Circ Cardiovasc Imaging 14:e011680

    Article  PubMed  Google Scholar 

  9. Troger F et al (2021) Cardio-pulmonary transit-time by cardiac magnetic resonance imaging: associates to infarct severity and adverse events after reperfused STEMI. Eur Heart J Cardiovasc Imaging. https://doi.org/10.1093/ehjci/jeab090.062

    Article  Google Scholar 

  10. Seraphim A et al (2021) Prognostic value of pulmonary transit time and pulmonary blood volume estimation using myocardial perfusion CMR. Jacc Cardiovasc Imaging 14:2107–2119

    Article  PubMed  PubMed Central  Google Scholar 

  11. Seraphim A et al (2021) Comparison of the prognostic value of stress and rest pulmonary transit time estimation using myocardial perfusion CMR. Eur Heart J Cardiovasc Imaging. https://doi.org/10.1093/ehjci/jeab090.017

    Article  PubMed  PubMed Central  Google Scholar 

  12. Victorica BE, Gessner IH (1975) A simplified method for quantitating left-to-right shunts from arterial dilution curves. Circulation 51:530–534

    Article  PubMed  CAS  Google Scholar 

  13. Mischi M et al (2009) Intra-thoracic blood volume measurement by contrast magnetic resonance imaging. Magn Reson Med 61:344–353

    Article  PubMed  CAS  Google Scholar 

  14. Herold IHF et al (2016) Reliability, repeatability, and reproducibility of pulmonary transit time assessment by contrast enhanced echocardiography. Cardiovasc Ultrasound 14:1

    Article  PubMed  PubMed Central  Google Scholar 

  15. Guo X et al (2022) First-pass perfusion cardiovascular magnetic resonance parameters as surrogate markers for left ventricular diastolic dysfunction: a validation against cardiac catheterization. Eur Radiol 32(12):8131–8139

    Article  PubMed  Google Scholar 

  16. Martin YN, Pabelick CM (2014) Sex differences in the pulmonary circulation: implications for pulmonary hypertension. Am J Physiol Heart Circ Physiol. 306:H1253–H1264

    Article  PubMed  PubMed Central  CAS  Google Scholar 

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AJ and RG wrote the main manuscript text and prepared figures. All authors reviewed the manuscript

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Correspondence to A. Jossart.

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Jossart, A., Gerber, B., Houard, L. et al. Distribution of normalized pulmonary transit time per pathology in a population of routine CMR examinations. Int J Cardiovasc Imaging 40, 149–156 (2024). https://doi.org/10.1007/s10554-023-02976-x

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