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. 2019 Jul;8(3):191–201. doi: 10.15420/aer.2019.5.1

Table 2: Prognostic Impact of Cardiac MRI.

Author n Method for Scar Quantification HR for Adverse Outcome (95% CI) Result
Ischaemic Cardiomyopathy
Bello et al. 2005[54] 48 ≥2 SD above remote normal myocardium Not given, p=0.02 Greater infarct mass and infarct surface area predicts inducible VT at EPS
Yan et al. 2006[58] 144 ≥2 SD above remote normal myocardium 1.45 (1.15–1.84) per 10% increase in scar border zone Extent of the peri-infarct zone defined by delayed-enhancement CMRI is an independent predictor of post-myocardial infarction all-cause and cardiovascular mortality, after adjusting for LV volumes or LVEF
Schmidt et al. 2007[119] 47 FWHM Not given, p=0.02 Border zone mass was higher in those with inducible VT than those with no inducibility, but there was no difference in scar core mass
Roes et al. 2009[120] 91 FWHM (35-50%) 1.49 1.01–2.20) per 10 g increase in scar border zone. Extent of infarct border zone is the strongest predictor of subsequent ICD therapy
Kwon et al. 2009[50] 349 ≥2 SDs above remote normal myocardium 1.02 (1.003–1.03) per 1% increase in LV scar Scar mass predicts mortality or transplantation
Kelle et al. 2009[121] 177 Number of AHA 17 segment model with enhancement 1.27 (1.064–1.518) per additional enhanced segment Number of AHA segments involved predicts death and non-fatal myocardial infarction.
Heidary et al. 2010[57] 70 FWHM border zone (remote max to 50%), FWHM scar core (>50%) Not given, p=0.03 Total scar mass and border zone mass (but not scar core mass) predict adverse outcomes
Scott et al. 2011[53] 64 The number of transmural scar segments (using AHA 17 segment model) 1.48 (1.18–1.84) in multivariate analysis The number of transmural scar segments predicts subsequent ICD therapies
Krittayaphong et al. 2011[122] 1,148 Visual presence of LGE 3.92 (1.98–7.76) in multivariate analysis LGE predicts MACE in a cohort with normal wall motion.
Boyé et al. 2011[123] 52 ≥5 SD Not given, p=0.02 Infarct mass expressed as a percentage of LV mass predicts appropriate device therapy
Rubenstein et al. 2013[59] 47 Between 2 and 3 SD above remote normal myocardium 1.97 (1.04–3.73) per 1% change in border zone mass in multivariate analysis Border zone mass higher in those with VT inducibility (2.64% of LV mass) than those without (1.35%)
Alexandre et al. 2013[124] 49 Scar mass by manual planimetry 1.08 (1.04–1.12) unadjusted, 3.15 (1.35-7.33) in multivariate analysis (per 1g extra scar mass) Scar mass predicts appropriate device therapy
Kwon et al. 2014[125] 450 ≥2 SD above remote normal myocardium 1.34 (1.15–1.55) in multivariate analysis Scar percentage strongly predicts mortality
Demirel et al. 2014[126] 99 FWHM 2.01 (1.17–3.44) in multivariate analysis Ratio of peri-infarct border zone to scar core is associated with appropriate ICD therapy
Rijnierse et al. 2016[127] 52 FWHM (>50%) Not given, p=0.07 Trend towards higher scar burden in those with inducible VT (not significant)
Non-ischaemic Cardiomyopathy
Assomull et al. 2006[62] 101 Visual presence of midwall LGE 3.4 (1.4–8.7) for presence of LGE Presence of midwall fibrosis predicts death or hospitalisation
Wu et al. 2008[61] 65 Visual presence of LGE 8.2 (2.2–30.9) in multivariate analysis Presence of LGE predicts cardiovascular death, ICD therapy and HF hospitalisation
Iles et al. 2011[128] 61 Visual presence of LGE Not given, p=0.01 Patients with LGE had significantly higher rates of appropriate ICD therapy
Lehrke et al. 2011[129] 184 Visual presence of LGE, SD >2 for quantification 3.5 for presence of scar. 5.28 using threshold of scar >4.4% total LV mass Presence of LGE predicts cardiac death, ICD therapy or HF hospitalisation
Neilan et al. 2013[130] 162 Both FWHM and SD methods used 14.5 (6.1–32.6) for LGE presence, 1.15 (1.12–1.18) for each 1% increase in scar volume Presence and volume of LGE predicts cardiovascular death or ICD therapy
Gulati et al. 2013[131] 472 Visual presence, FWHM 2.96 (1.87–4.69) for presence of LGE, 1.1 (1.06–1.17) per 1% extra LGE LGE presence, extent predicts mortality, independently of LVEF
Machii et al. 2014[132] 72 Visual presence of LGE Not given, p=0.02 for extensive LGE versus no LGE Lower event-free survival in patients with extensive LGE
Perazzolo-Marra et al. 2014[133] 137 Visual presence of LGE 3.8 (1.3–10.4) in multivariate analysis LGE presence, but not extent, predicts adverse arrhythmic outcome
Masci et al. 2014[134] 228 Visual presence of LGE 4.02 (2.08–7.76) in multivariate analysis LGE presence predicts adverse outcomes in patients with asymptomatic LVSD
Piers et al. 2015[68] 87 Visual presence, FWHM 2.71 (1.10–6.69) for LGE presence LGE predicts monomorphic VT, but not polymorphic VT/VF
Shin et al. 2016[135] 365 FWHM 8.45 (2.91–24.6) for LGE extent ≥ 8%, increasing to 6.98 (1.74–28.0) for those with subepicardial pattern of disease Presence of LGE strongly predicts arrhythmic events, risk varies with location of fibrosis
Mueller et al. 2016[136] 56 Visual presence of LGE 1.9 (1.1–3.4) Presence of LGE predicts VT inducibility
Puntmann et al. 2016[137] 637 T1 mapping 1.1 (1.07–1.17) per 10 ms change in T1 time, multivariate analysis Higher T1 values predict mortality and HF outcomes
Halliday et al. 2017[63] 399 Visual presence of LGE, FWHM for quantification 9.2 (3.9–21.8) in patients with LVEF > 40% A 17.8% event rate (median follow-up 4.6 years) in patients with LGE
Halliday et al. 2016[65] 874 FWHM LGE extent of 0 to 2.55%, 2.55% to 5.10%, and >5.10%, respectively, were 1.59 (0.99 to 2.55), 1.56 (0.96 to 2.54), and 2.31 (1.50 to 3.55) for all-cause mortality The presence and pattern, rather than the extent, of LGE predicts all-cause mortality
Studies Including Both ICM and NICM
Kwong et al. 2006[138] 195 ≥2 SD 8.29 (3.92–17.5) unadjusted, 8.65 (2.45–30.5) in multivariate analysis Presence of LGE predicts cardiac events in patients with suspected CAD
Klem et al. 2011[51] 1560 Number of segments with LGE 1.007 (1.005–1.009) unadjusted, 1.004 (1.002–1.007) in multivariate analysis Number of segments with LGE incrementally prediction of all-cause mortality over LVSF and clinic parameters
Gao et al. 2012[56] 124 ≥2 SD 1.4 (1.21–1.62) unadjusted Scar quantification predicts arrhythmic events
Dawson et al. 2013[139] 373 Visual presence of LGE, FWHM for quantification 3.5 (2.01–6.13) for presence of LGE, 1.12 per 5% extra LGE In patients presenting with VT, LGE predicts arrhythmic events
Almehmadi et al. 2014[140] 318 ≥5 SD 2.4 (1.2–4.6) in multivariate analysis Midwall striation predicts sudden death or appropriate ICD therapy
Chen et al. 2015[70] 130 Native T1 value 1.1 (1.04–1.16) per 10 ms change in T1 time, multivariate analysis Myocardial T1 predicts ventricular arrhythmia independently of scar quantification
Mordi et al. 2015[141] 539 Visual presence of LGE 2.14 (1.06–4.33) in multivariate analysis LGE predicts MACE in all-comers attending for CMRI
Acosta et al. 2018[60] 217 FWHM 40–60% (border zone), >60% (scar core) 1.06 (1.04–1.08) for border zone mass (g) Scar mass, border zone mass and border zone channel mass all predict ICD therapy or SCD
Olausson et al. 2018[35] 215 ECV 2.17 (1.17–4.00) for each 5% increase in ECV Diffuse fibrosis (as evidenced by ECV) predicts appropriate ICD therapy

Studies showing the prognostic effect of CMRI data in ischaemic cardiomyopathy and non-ischaemic cardiomyopathy. AHA = American Heart Association; CMRI = cardiac MRI; EPS = electrophysiology study; ECV = extracellular volume; FWHN = full width at half maximum; HF = heart failure; LGE = late gadolinium enhancement; LV = left ventricle; LVEF = left ventricular ejection fraction; MACE = major adverse cardiac event; VT = ventricular tachycardia.