Defining myocardial fibrosis in haemodialysis patients with non-contrast cardiac magnetic resonance

M P Graham-Brown, A S Singh, G S Gulsin, E Levelt, J A Arnold, D J Stensel, J O Burton, G P McCann, M P Graham-Brown, A S Singh, G S Gulsin, E Levelt, J A Arnold, D J Stensel, J O Burton, G P McCann

Abstract

Background: Extent of myocardial fibrosis (MF) determined using late gadolinium enhanced (LGE) predicts outcomes, but gadolinium is contraindicated in advanced renal disease. We assessed the ability of native T1-mapping to identify and quantify MF in aortic stenosis patients (AS) as a model for use in haemodialysis patients.

Methods: We compared the ability to identify areas of replacement-MF using native T1-mapping to LGE in 25 AS patients at 3 T. We assessed agreement between extent of MF defined by LGE full-width-half-maximum (FWHM) and the LGE 3-standard-deviations (3SD) in AS patients and nine T1 thresholding-techniques, with thresholds set 2-to-9 standard-deviations above normal-range (1083 ± 33 ms). A further technique was tested that set an individual T1-threshold for each patient (T11SD). The technique that agreed most strongly with FWHM or 3SD in AS patients was used to compare extent of MF between AS (n = 25) and haemodialysis patients (n = 25).

Results: Twenty-six areas of enhancement were identified on LGE images, with 25 corresponding areas of discretely increased native T1 signal identified on T1 maps. Global T1 was higher in haemodialysis than AS patients (1279 ms ± 5.8 vs 1143 ms ± 12.49, P < 0.01). No signal-threshold technique derived from standard-deviations above normal-range associated with FWHM or 3SD. T11SD correlated with FWHM in AS patients (r = 0.55) with moderate agreement (ICC = 0.64), (but not with 3SD). Extent of MF defined by T11SD was higher in haemodialysis vs AS patients (21.92% ± 1 vs 18.24% ± 1.4, P = 0.038), as was T1 in regions-of-interest defined as scar (1390 ± 8.7 vs 1276 ms ± 20.5, P < 0.01). There was no difference in the relative difference between remote myocardium and regions defined as scar, between groups (111.4 ms ± 7.6 vs 133.2 ms ± 17.5, P = 0.26).

Conclusions: Areas of MF are identifiable on native T1 maps, but absolute thresholds to define extent of MF could not be determined. Histological studies are needed to assess the ability of native-T1 signal-thresholding techniques to define extent of MF in haemodialysis patients. Data is taken from the PRIMID-AS (NCT01658345) and CYCLE-HD studies (ISRCTN11299707).

Keywords: Aortic stenosis; Haemodialysis; LGE; Myocardial fibrosis; Native T1.

Conflict of interest statement

Ethics approval and consent to participate

Both PRIMID-AS and CYCLE-HD received ethical approval from the National Research Ethics Service Committee East Midlands (REC references 11/EM/0410 and 14/EM/1190, respectively). All participants gave written and informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
a Mid-ventricular LGE image of an AS patient with LGE scored 1 (diffuse subtle enhancement). Enhancement seen at RV inferior insertion point and septal mid-wall (arrows). b Mid-ventricular LGE image of AS patient scored 2 (strong and discrete enhancement). Discrete enhancement seen at RV inferior insertion point (arrow). c Mid-ventricular native T1 map of the same patient shown in Fig. ‘1a’. Areas of discretely increased signal visible in the same distribution as enhancing areas on LGE image (arrows) d Mid-ventricular native T1 map of the same patient shown in Fig. ‘1b’. Discrete area of increased native T1 signal clearly visible at RV insertion point (arrow)
Fig. 2
Fig. 2
a: Native T1 map of a haemodialysis patient. Region of interested (white) defining visual area of greatest signal increase at right ventricular inferior insertion point. Black arrow shows septal mid-wall discretely increased native T1 signal b: The same Native T1 in CMR42 tissue characterization module set T1 threshold defined by the global native T1 for the patient plus the standard deviation of the region of interest circled as the area of highest signal increase (defined in Argus in 1A) (T11SD technique). c: Mid-ventricular late gadolinium enhanced image of an aortic stenosis patient analysed using full-width half-maximum in the CMR-42 tissue characterization module. d: Corresponding native T1 map of the same patient with aortic stenosis analysed with T11SD technique
Fig. 3
Fig. 3
Flow diagram of patients included in study and numbers of patients with areas of discretely increased signal on native T1 maps
Fig. 4
Fig. 4
Circumferential native T1 in haemodialysis patients with areas of visually increased signal, haemodialysis patients without areas of visually increased signal and aortic stenosis patients with areas of visually increased signal
Fig. 5
Fig. 5
a: Comparison of corresponding areas of discretely increased signal on native T1 in aortic stenosis patients with LGE images scored ‘1’ and scored ‘2’. b: Native T1 signal within region of discrete signal increase in haemodialysis patients compared to native T1 signal within region of discrete signal increase in aortic stenosis patients. c: Difference in native T1 between remote myocardium and myocardium within areas of discretely increased signal between haemodialysis and aortic stenosis patients. ms, milliseconds; HD, haemodialysis,; AS, aortic stenosis; LGE, late gadolinium enhancement
Fig. 6
Fig. 6
a: Percentage area defined as scar by T11SD on native T1 mapping compared to percentage area defined as scar by FWHM on LGE images in AS patients. b: Comparison of extent of scar defined by T11SD between aortic stenosis patients and patients on haemodialysis. AS, aortic stenosis; HD, haemodialysis

References

    1. Assomull RG, Prasad SK, Lyne J, Smith G, Burman ED, Khan M, et al. Cardiovascular magnetic resonance, fibrosis, and prognosis in dilated cardiomyopathy. J Am Coll Cardiol. 2006;48(10):1977–1985. doi: 10.1016/j.jacc.2006.07.049.
    1. Kwong RY, Chan AK, Brown KA, Chan CW, Reynolds HG, Tsang S, et al. Impact of unrecognized myocardial scar detected by cardiac magnetic resonance imaging on event-free survival in patients presenting with signs or symptoms of coronary artery disease. Circulation. 2006;113(23):2733–2743. doi: 10.1161/CIRCULATIONAHA.105.570648.
    1. Heymans S, Schroen B, Vermeersch P, Milting H, Gao F, Kassner A, et al. Increased cardiac expression of tissue inhibitor of metalloproteinase-1 and tissue inhibitor of metalloproteinase-2 is related to cardiac fibrosis and dysfunction in the chronic pressure-overloaded human heart. Circulation. 2005;112(8):1136–1144. doi: 10.1161/CIRCULATIONAHA.104.516963.
    1. Hein S, Arnon E, Kostin S, Schnburg M, Elssser A, Polyakova V, et al. Progression from compensated hypertrophy to failure in the pressure-overloaded human heart. Circulation. 2003;107(7):984–991. doi: 10.1161/01.CIR.0000051865.66123.B7.
    1. Steel K, Broderick R, Gandla V, Larose E, Resnic F, Jerosch-Herold M, et al. Complementary prognostic values of stress myocardial perfusion and late gadolinium enhancement imaging by cardiac magnetic resonance in patients with known or suspected coronary artery disease. Circulation. 2009;120(14):1390–1400. doi: 10.1161/CIRCULATIONAHA.108.812503.
    1. Dweck MR, Joshi S, Murigu T, Alpendurada F, Jabbour A, Melina G, et al. Midwall fibrosis is an independent predictor of mortality in patients with aortic stenosis. J Am Coll Cardiol. 2011;58(12):1271–1279. doi: 10.1016/j.jacc.2011.03.064.
    1. Mall G, Huther W, Schneider J, Lundin P, Ritz E. Diffuse intermyocardiocytic fibrosis in uraemic patients. Nephrol Dial Transplant. 1990;5(1):39–44. doi: 10.1093/ndt/5.1.39.
    1. Aoki J, Ikari Y, Nakajima H, Mori M, Sugimoto T, Hatori M, et al. Clinical and pathologic characteristics of dilated cardiomyopathy in hemodialysis patients. Kidney Int. 2005;67(1):333–340. doi: 10.1111/j.1523-1755.2005.00086.x.
    1. Mewton N, Liu CY, Croisille P, Bluemke D, Lima JA. Assessment of myocardial fibrosis with cardiovascular magnetic resonance. J Am Coll Cardiol. 2011;57(8):891–903. doi: 10.1016/j.jacc.2010.11.013.
    1. Chin CW, Messika-Zeitoun D, Shah AS, Lefevre G, Bailleul S, Yeung EN, et al. A clinical risk score of myocardial fibrosis predicts adverse outcomes in aortic stenosis. Eur Heart J. 2016;37(8):713–723. doi: 10.1093/eurheartj/ehv525.
    1. Kim RJ, Fieno DS, Parrish TB, Harris K, Chen E, Simonetti O, et al. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation. 1999;100(19):1992–2002. doi: 10.1161/01.CIR.100.19.1992.
    1. Arai AE. The cardiac magnetic resonance (CMR) approach to assessing myocardial viability. J Nucl Cardiol. 2011;18(6):1095–1102. doi: 10.1007/s12350-011-9441-5.
    1. Moon JC, Reed E, Sheppard MN, Elkington AG, Ho S, Burke M, et al. The histologic basis of late gadolinium enhancement cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Am Coll Cardiol. 2004;43(12):2260–2264. doi: 10.1016/j.jacc.2004.03.035.
    1. Kim RJ, Chen E, Judd RM. Myocardial Gd-DTPA kinetics determine MRI contrast enhancement and reflect the extent and severity of myocardial injury after acute reperfused infarction. Circulation. 1996;94(12):3318–3326. doi: 10.1161/01.CIR.94.12.3318.
    1. Croisille P, Revel D, Saeed M. Contrast agents and cardiac MR imaging of myocardial ischemia: from bench to bedside. Eur Radiol. 2006;16(9):1951–1963. doi: 10.1007/s00330-006-0244-z.
    1. Amado LC, Gerber BL, Gupta SN, Rettmann DW, Szarf G, Schock R, et al. Accurate and objective infarct sizing by contrast-enhanced magnetic resonance imaging in a canine myocardial infarction model. J Am Coll Cardiol. 2004;44(12):2383–2389. doi: 10.1016/j.jacc.2004.09.020.
    1. Treibel TA, Lpez B, Gonzlez A, Menacho K, Schofield RS, Ravassa S, et al. Reappraising myocardial fibrosis in severe aortic stenosis: an invasive and non-invasive study in 133 patients. Eur Heart J. 2018;39(8):699–709.
    1. Azevedo CF, Nigri M, Higuchi ML, Pomerantzeff PM, Spina GS, Sampaio RO, et 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(4):278–287. doi: 10.1016/j.jacc.2009.12.074.
    1. Mikami Y, Kolman L, Joncas SX, Stirrat J, Scholl D, Rajchl M, et al. Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy. J Cardiovasc Magn Reson. 2014;16(1):85. doi: 10.1186/s12968-014-0085-x.
    1. Kehr E, Sono M, Chugh SS, Jerosch-Herold M. Gadolinium-enhanced magnetic resonance imaging for detection and quantification of fibrosis in human myocardium in vitro. Int J Cardiovasc Imaging. 2008;24(1):61–68. doi: 10.1007/s10554-007-9223-y.
    1. Kribben A, Witzke O, Hillen U, Barkhausen J, Daul AE, Erbel R. Nephrogenic systemic fibrosis: pathogenesis, diagnosis, and therapy. J Am Coll Cardiol. 2009;53(18):1621–1628. doi: 10.1016/j.jacc.2008.12.061.
    1. Bull S, White SK, Piechnik SK, Flett AS, Ferreira VM, Loudon M, et al. Human non-contrast T1 values and correlation with histology in diffuse fibrosis. Heart. 2013;99(13):932–937. doi: 10.1136/heartjnl-2012-303052.
    1. Flett AS, Sado DM, Quarta G, Mirabel M, Pellerin D, Herrey AS, et al. Diffuse myocardial fibrosis in severe aortic stenosis: an equilibrium contrast cardiovascular magnetic resonance study. Eur Heart J Cardiovasc Imaging. 2012;13(10):819–826. doi: 10.1093/ehjci/jes102.
    1. Messroghli DR, Niendorf T, Schulz-Menger J, Dietz R, Friedrich MG. T1 mapping in patients with acute myocardial infarction: myocardial infarction and scar. J Cardiovasc Magn Reson. 2003;5(2):353–359. doi: 10.1081/JCMR-120019418.
    1. Ugander M, Bagi PS, Oki AJ, Chen B, Hsu L, Aletras AH, et al. Myocardial edema as detected by pre-contrast T1 and T2 CMR delineates area at risk associated with acute myocardial infarction. JACC: Cardiovasc Imaging. 2012;5(6):596–603.
    1. Karamitsos TD, Piechnik SK, Banypersad SM, Fontana M, Ntusi NB, Ferreira VM, et al. Noncontrast T1 mapping for the diagnosis of cardiac amyloidosis. JACC: Cardiovasc Imaging. 2013;6(4):488–497.
    1. Dass S, Suttie JJ, Piechnik SK, Ferreira VM, Holloway CJ, Banerjee R, et al. Myocardial tissue characterization using magnetic resonance noncontrast t1 mapping in hypertrophic and dilated cardiomyopathy. Circ Cardiovasc Imaging. 2012;5(6):726–733. doi: 10.1161/CIRCIMAGING.112.976738.
    1. Edwards NC, Moody WE, Chue CD, Ferro CJ, Townend JN, Steeds RP. Defining the natural history of uremic cardiomyopathy in chronic kidney disease: the role of cardiovascular magnetic resonance. JACC: Cardiovasc Imaging. 2014;7(7):703–714.
    1. Rutherford E, Talle MA, Mangion K, Bell E, Rauhalammi SM, Roditi G, et al. Defining myocardial tissue abnormalities in end-stage renal failure with cardiac magnetic resonance imaging using native T1 mapping. Kidney Int. 2016;90(4):845–52.
    1. Graham-Brown MP, March DS, Churchward DR, Stensel DJ, Singh A, Arnold R, et al. Novel cardiac nuclear magnetic resonance method for noninvasive assessment of myocardial fibrosis in hemodialysis patients. Kidney Int. 2016;90(4):835–844. doi: 10.1016/j.kint.2016.07.014.
    1. Kim PK, Hong YJ, Im DJ, Suh YJ, Park CH, Kim JY, et al. Myocardial T1 and T2 Mapping: Techniques and Clinical Applications. Korean J Radiol. 2017;18(1):113–131. doi: 10.3348/kjr.2017.18.1.113.
    1. Sado DM, Flett AS, Moon JC. Novel imaging techniques for diffuse myocardial fibrosis. Future Cardiol. 2011;7(5):643–650. doi: 10.2217/fca.11.45.
    1. Singh A, Ford I, Greenwood JP, Khan JN, Uddin A, Berry C, et al. Rationale and design of the PRognostic Importance of MIcrovascular Dysfunction in asymptomatic patients with Aortic Stenosis (PRIMID-AS): a multicentre observational study with blinded investigations. BMJ Open. 2013;3(12):004348. doi: 10.1136/bmjopen-2013-004348.
    1. Graham-Brown MPM, March DS, Churchward DR, Young HML, Dungey M, Lloyd S, et al. Design and methods of CYCLE-HD: improving cardiovascular health in patients with end stage renal disease using a structured programme of exercise: a randomised control trial. BMC Nephrol. 2016;17(1):69. doi: 10.1186/s12882-016-0294-7.
    1. Singh A, Greenwood JP, Berry C, Dawson DK, Hogrefe K, Kelly DJ, et al. Comparison of exercise testing and CMR measured myocardial perfusion reserve for predicting outcome in asymptomatic aortic stenosis: the PRognostic Importance of MIcrovascular Dysfunction in Aortic Stenosis (PRIMID AS) Study. Eur Heart J. 2017;38(16):1222–9.
    1. Messroghli DR, Radjenovic A, Kozerke S, Higgins DM, Sivananthan MU, Ridgway JP. Modified Look-Locker inversion recovery (MOLLI) for high-resolution T1 mapping of the heart. Magn Reson Med. 2004;52(1):141–146. doi: 10.1002/mrm.20110.
    1. Singh A, Horsfield MA, Bekele S, Khan JN, Greiser A, McCann GP. Myocardial T1 and extracellular volume fraction measurement in asymptomatic patients with aortic stenosis: reproducibility and comparison with age-matched controls. Eur Heart J Cardiovasc Imaging. 2015;16(7):763–770. doi: 10.1093/ehjci/jev007.
    1. Beek AM, Bondarenko O, Afsharzada F, van Rossum AC. Quantification of late gadolinium enhanced CMR in viability assessment in chronic ischemic heart disease: a comparison to functional outcome. J Cardiovasc Magn Reson. 2009;11(1):6. doi: 10.1186/1532-429X-11-6.
    1. Mark PB, Johnston N, Groenning BA, Foster JE, Blyth KG, Martin TN, et al. Redefinition of uremic cardiomyopathy by contrast-enhanced cardiac magnetic resonance imaging. Kidney Int. 2006;69(10):1839–1845. doi: 10.1038/sj.ki.5000249.
    1. Everett RJ, Stirrat CG, Semple S, Newby DE, Dweck MR, Mirsadraee S. Assessment of myocardial fibrosis with T1 mapping MRI. Clin Radiol. 2016;71(8):768–778. doi: 10.1016/j.crad.2016.02.013.
    1. Kali A, Choi E, Sharif B, Kim YJ, Bi X, Spottiswoode B, et al. Native T1 mapping by 3-T CMR imaging for characterization of chronic myocardial infarctions. JACC: Cardiovasc Imaging. 2015;8(9):1019–1030.
    1. Graham-Brown MP, Rutherford E, Levelt E, March DS, Churchward DR, Stensel DJ, et al. Native T1 mapping: inter-study, inter-observer and inter-center reproducibility in hemodialysis patients. J Cardiovasc Magn Reson. 2017;19(1):21. doi: 10.1186/s12968-017-0337-7.
    1. Buchanan C, Mohammed A, Cox E, Khler K, Canaud B, Taal MW, et al. Intradialytic cardiac magnetic resonance imaging to assess cardiovascular responses in a short-term trial of hemodiafiltration and hemodialysis. J Am Soc Nephrol. 2017;28(4):1269–77.
    1. Messroghli DR, Walters K, Plein S, Sparrow P, Friedrich MG, Ridgway JP, et al. Myocardial T1 mapping: application to patients with acute and chronic myocardial infarction. Magn Reson Med. 2007;58(1):34–40. doi: 10.1002/mrm.21272.
    1. Kuruvilla S, Janardhanan R, Antkowiak P, Keeley EC, Adenaw N, Brooks J, et al. Increased extracellular volume and altered mechanics are associated with LVH in hypertensive heart disease, not hypertension alone. JACC: Cardiovasc Imaging. 2015;8(2):172–180.
    1. Moon JC, Messroghli DR, Kellman P, Piechnik SK, Robson MD, Ugander M, et al. Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement. J Cardiovasc Magn Reson. 2013;15(1):92. doi: 10.1186/1532-429X-15-92.

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