Extracellular volume fraction (ECV) derived from pre-operative computed tomography predicts prognosis in patients undergoing transcatheter aortic valve implantation (TAVI)

Davide Vignale, Anna Palmisano, Chiara Gnasso, Davide Margonato, Davide Romagnolo, Simone Barbieri, Giacomo Ingallina, Stefano Stella, Marco Bruno Ancona, Matteo Montorfano, Francesco Maisano, Eustachio Agricola, Antonio Esposito, Davide Vignale, Anna Palmisano, Chiara Gnasso, Davide Margonato, Davide Romagnolo, Simone Barbieri, Giacomo Ingallina, Stefano Stella, Marco Bruno Ancona, Matteo Montorfano, Francesco Maisano, Eustachio Agricola, Antonio Esposito

Abstract

Aims: Transcatheter aortic valve implantation (TAVI) is the treatment of choice for high-risk patients with severe aortic stenosis (AS). A portion of TAVI recipients has no long-term clinical benefit, and myocardial fibrosis may contribute to unfavourable outcomes. We aimed to assess the prognostic value of an interstitial fibrosis marker, extracellular volume fraction (ECV), measured at planning computed tomography (CT) before TAVI.

Methods and results: From October 2020 to July 2021, 159 consecutive patients undergoing TAVI planning CT were prospectively enroled. ECV was calculated as the ratio of myocardium and blood pool differential attenuations before and 5 min after contrast administration, pondered for haematocrit. A composite endpoint including heart failure hospitalization (HFH) and death was collected by telehealth or in-person follow-up visits in the 113 patients constituting the final study population. Cox proportional hazards model was used to assess association between ECV and the composite endpoint.Median follow-up was 13 (11-15) months. The composite endpoint occurred in 23/113 (20%) patients. These patients had lower aortic valve mean pressure gradient [39 (29-48) vs. 46 (40-54) mmHg, P = 0.002] and left ventricular and right ventricular ejection fraction [51 (37-69) vs. 66 (54-74)%, P = 0.014; 45 (31-53) vs. 49 (44-55)%, P = 0.010] and higher ECV [31.5 (26.9-34.3) vs. 27.8 (25.3-30.2)%, P = 0.006]. At multivariable Cox analysis, ECV higher than 31.3% was associated to increased risk of death or HFH at follow-up (hazard ratio = 5.92, 95% confidence interval 2.37-14.75, P < 0.001).

Conclusion: In this prospective observational cohort study, ECV measured at TAVI planning CT predicts the composite endpoint (HFH or death) in high-risk severe AS patients.

Keywords: CT; ECV; TAVI; TAVR; aortic stenosis.

Conflict of interest statement

Conflict of interest: None declared.

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.

Figures

Graphical Abstract
Graphical Abstract
Figure 1
Figure 1
Patient enrollment flowchart. TAVI, transcatheter aortic valve implantation; AVR, aortic valve replacement; AS, aortic stenosis; CT, computed tomography.
Figure 2
Figure 2
ECV measurement in two exemplificative cases. Regions of interest (ROIs) were drawn in the LV blood pool (smaller ROI in white) and in the mid-ventricular septum (larger ROI in yellow) on an axial slice in the late post-contrast scan (B and D) and were then copied on the coregistered pre-contrast scan (A and C). Top row images show the case of an 85-year-old male with an ECV of 37.3% who experienced heart failure hospitalization (HFH) 14 months after TAVI. Bottom row images show the case of a 78-year-old female with an ECV of 25.3% who has not experienced death of HFH 17 months after TAVI.
Figure 3
Figure 3
Correlation scatterplots. Markers of myocardial damage (troponin T) and dysfunction (BNP) showed a stronger direct correlation with the fibrosis mass indexed (A and C, respectively) than with ECV (B and D, respectively). Furthermore, the markers of AS severity, AV calcium score and mean aortic pressure gradient, showed a direct correlation with LV mass indexed (E and G, respectively), while ECV was not correlated (F and H, respectively).
Figure 4
Figure 4
The Kaplan–Meier survival curve of patients stratified according to ECV. Patients with ECV ≥31.3% (lower line in red) experienced more events of death or HFH than patients with ECV P < 0.001.

References

    1. Osnabrugge RLJ, Mylotte D, Head SJ, Van Mieghem NM, Nkomo VT, Lereun CMet al. . Aortic stenosis in the elderly: disease prevalence and number of candidates for transcatheter aortic valve replacement: a meta-analysis and modeling study. J Am Coll Cardiol 2013;62:1002–12.
    1. Dweck MR, Boon NA, Newby DE. Calcific aortic stenosis: a disease of the valve and the myocardium. J Am Coll Cardiol 2012;60:1854–63.
    1. Bing R, Cavalcante JL, Everett RJ, Clavel MA, Newby DE, Dweck MR. Imaging and impact of myocardial fibrosis in aortic stenosis. JACC: Cardiovascular Imaging 2019;12:283–96.
    1. Coffey S, Cox B, Williams MJA. The prevalence, incidence, progression, and risks of aortic valve sclerosis: a systematic review and meta-analysis. J Am Coll Cardiol 2014;63:2852–61.
    1. Leon MB, Smith CR, Mack M, Miller DC, Moses JW, Svensson LGet al. . Transcatheter aortic-valve implantation for aortic stenosis in patients who cannot undergo surgery. N Engl J Med 2010;363:1597–607.
    1. Reynolds MR, Magnuson EA, Wang K, Thourani VH, Williams M, Zajarias Aet al. . Health-related quality of life after transcatheter or surgical aortic valve replacement in high-risk patients with severe aortic stenosis: results from the PARTNER (Placement of AoRTic TraNscathetER Valve) trial (Cohort A). J Am Coll Cardiol 2012;60:548–58.
    1. Chen H, Zeng J, Liu D, Yang Q. Prognostic value of late gadolinium enhancement on CMR in patients with severe aortic valve disease: a systematic review and meta-analysis. Clin Radiol 2018;73:983.e7–983.e14.
    1. Barone-Rochette G, Piérard S, Meester De Ravenstein CD, Seldrum S, Melchior J, Maes Fet al. . Prognostic significance of LGE by CMR in aortic stenosis patients undergoing valve replacement. J Am Coll Cardiol 2014;64:144–54.
    1. Musa TA, Treibel TA, Vassiliou VS, Captur G, Singh A, Chin Cet al. . Myocardial scar and mortality in severe aortic stenosis: data from the BSCMR Valve Consortium. Circulation 2018;138:1935–47.
    1. Everett RJ, Treibel TA, Fukui M, Lee H, Rigolli M, Singh Aet al. . Extracellular myocardial volume in patients with aortic stenosis. J Am Coll Cardiol 2020;75:304–16.
    1. Lee H, Park JB, Yoon YE, Park EA, Kim HK, Lee Wet al. . Noncontrast myocardial T1 mapping by cardiac magnetic resonance predicts outcome in patients with aortic stenosis. JACC Cardiovasc Imaging 2018;11:974–83.
    1. Palmisano A, Vignale D, Peretto G, Busnardo E, Calcagno C, Campochiaro Cet al. . Hybrid FDG-PET/MR or FDG-PET/CT to detect disease activity in patients with persisting arrhythmias after myocarditis. JACC Cardiovasc Imaging 2021;14:288–92.
    1. Palmisano A, Vignale D, Benedetti G, Del Maschio A, De Cobelli F, Esposito A. Late iodine enhancement cardiac computed tomography for detection of myocardial scars: impact of experience in the clinical practice. Radiol Medica 2020;125:128–36.
    1. Palmisano A, Vignale D, Tadic M, Moroni F, De Stefano D, Gatti Met al. . Myocardial late contrast enhancement CT in troponinpositive acute chest pain syndrome. Radiology 2022;302:545–53.
    1. Esposito A, Palmisano A, Barbera M, Vignale D, Benedetti G, Spoladore Ret al. . Cardiac computed tomography in troponin-positive chest pain: sometimes the answer lies in the late iodine enhancement or extracellular volume fraction map. JACC Cardiovasc Imaging 2019;12:745–8.
    1. Esposito A, Palmisano A, Antunes S, Colantoni C, Rancoita PMV, Vignale Det al. . Assessment of remote myocardium heterogeneity in patients with ventricular tachycardia using texture analysis of late iodine enhancement (LIE) cardiac computed tomography (cCT) images. Mol Imaging Biol 2018;20:816–25.
    1. Tamarappoo B, Han D, Tyler J, Chakravarty T, Otaki Y, Miller Ret al. . Prognostic value of computed tomography–derived extracellular volume in TAVR patients with low-flow low-gradient aortic stenosis. JACC Cardiovasc Imaging 2020;13:2591–601.
    1. Han D, Tamarappoo B, Klein E, Tyler J, Chakravarty T, Otaki Yet al. . Computed tomography angiography-derived extracellular volume fraction predicts early recovery of left ventricular systolic function after transcatheter aortic valve replacement. Eur Heart J Cardiovasc Imaging 2021;22:179–85.
    1. Vahanian A, Beyersdorf F, Praz F, Milojevic M, Stephan B, Bauersachs Jet al. . 2021 ESC/EACTS guidelines for the management of valvular heart disease. Eur Heart J 2022;43:561–632.
    1. Baumgartner H, Hung J, Bermejo J, Chambers JB, Edvardsen T, Goldstein Set al. . Recommendations on the echocardiographic assessment of aortic valve stenosis: a focused update from the European Association of Cardiovascular Imaging and the American Society of Echocardiography. Eur Heart J Cardiovasc Imaging 2017;18:254–75.
    1. Weidemann F, Herrmann S, Störk S, Niemann M, Frantz S, Lange Vet al. . Impact of myocardial fibrosis in patients with symptomatic severe aortic stenosis. Circulation 2009;120:577–84.
    1. Azevedo CF, Nigri M, Higuchi ML, Pomerantzeff PM, Spina GS, Sampaio ROet al. . Prognostic significance of myocardial fibrosis quantification by histopathology and magnetic resonance imaging in patients with severe aortic valve disease. J Am Coll Cardiol 2010;56:278–87.
    1. Treibel TA, López B, González A, Menacho K, Schofield RS, Ravassa Set al. . Reappraising myocardial fibrosis in severe aortic stenosis: an invasive and non-invasive study in 133 patients. Eur Heart J 2018;39:699–709.
    1. Herrmann S, Fries B, Salinger T, Liu D, Hu K, Gensler Det al. . Myocardial fibrosis predicts 10-year survival in patients undergoing aortic valve replacement. Circ Cardiovasc Imaging 2018;11:e007131.
    1. Suzuki M, Toba T, Izawa Y, Fujita H, Miwa K, Takahashi Y, et al. . Prognostic impact of myocardial extracellular volume fraction assessment using dual-energy computed tomography in patients treated with aortic valve replacement for severe aortic stenosis. J Am Heart Assoc 2021;10:e020655.
    1. Hammer Y, Barkan YT, Abelow A, Orvin K, Aviv Y, Bar N, et al. . Myocardial extracellular volume quantification by computed tomography predicts outcomes in patients with severe aortic stenosis. PLoS One 2021;16:e0248306.
    1. Gamaza Chulián S, Díaz Retamino E, Carmona García R, Serrano Muñoz B, León Jiménez J, González Estriégana Set al. . Prognostic value of aortic valve area normalized to body size in native aortic stenosis. Rev Española Cardiol (English Ed) 2021;74:44–50.
    1. Conrotto F, D’Ascenzo F, D’Amico M, Moretti C, Pavani M, Scacciatella Pet al. . Outcomes of patients with low-pressure aortic gradient undergoing transcatheter aortic valve implantation: a meta-analysis. Catheter Cardiovasc Interv 2017;89:1100–6.
    1. Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, et al. . Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2 and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imagin. J Cardiovasc Magn Reson 2017;19:75.
    1. Castano A, Narotsky DL, Hamid N, Khalique OK, Morgenstern R, DeLuca Aet al. . Unveiling transthyretin cardiac amyloidosis and its predictors among elderly patients with severe aortic stenosis undergoing transcatheter aortic valve replacement. Eur Heart J 2017;38:2879–87.
    1. Scully PR, Patel KP, Saberwal B, Klotz E, Augusto JB, Thornton GDet al. . Identifying cardiac amyloid in aortic stenosis: ECV quantification by CT in TAVR patients. JACC Cardiovasc Imaging 2020;13:2177–89.
    1. Treibel TA, Fontana M, Gilbertson JA, Castelletti S, White SK, Scully PR, et al. . Occult transthyretin cardiac amyloid in severe calcific aortic stenosis: prevalence and prognosis in patients undergoing surgical aortic valve replacement. Circ Cardiovasc Imaging 2016;9:e005066.

Source: PubMed

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