PMID- 30412472
OWN - NLM
STAT- MEDLINE
DCOM- 20190829
LR  - 20200225
IS  - 1361-6560 (Electronic)
IS  - 0031-9155 (Print)
IS  - 0031-9155 (Linking)
VI  - 63
IP  - 22
DP  - 2018 Nov 9
TI  - Virtual electrophysiological study as a tool for evaluating efficacy of MRI 
      techniques in predicting adverse arrhythmic events in ischemic patients.
PG  - 225008
LID - 10.1088/1361-6560/aae8b2 [doi]
AB  - Myocardial infarct (MI) related indices determined by late gadolinium enhancement 
      (LGE) MRI have been widely investigated in determining patients suitable for 
      implantable cardiovascular-defibrillator (ICD) therapy to complement left 
      ventricular ejection fraction (LV EF). In comparison to LGE-MRI using 
      inversion-recovery fast-gradient-echo (IR-FGRE), T1 mapping techniques, such as 
      multi contrast late enhancement (MCLE), have been shown to provide more 
      quantitative and reproducible estimates of infarct regions. The objective of this 
      study is to use individualized heart computer models in determining the efficacy 
      of IR-FGRE and MCLE techniques in predicting the occurrence of post-MI 
      ventricular tachycardia (VT). Twenty-seven patients with MI underwent LGE-MRI 
      using IR-FGRE and MCLE prior to ICD implantation and were followed up for 6-46 
      months. Individualized image-based computational models were built separately for 
      each imaging technique; simulations of propensity to VT were conducted with each 
      model. The imaging methods were evaluated by comparing simulated inducibility of 
      VT to clinical outcome (appropriate ICD therapy) in patients. Twelve patients had 
      at least one appropriate ICD therapy for VT at follow-up. For both MCLE and 
      IR-FGRE, the outcomes of the simulations of VT were significantly associated with 
      the events of appropriate ICD therapy. This indicates that, as compared to 
      conventional measurements such as LV EF, the simulations of VT corresponding to 
      both MCLE and IR-FGRE were more sensitive in predicting appropriate ICD therapy 
      in post-MI patients.
FAU - Ukwatta, Eranga
AU  - Ukwatta E
AD  - School of Engineering, University of Guelph, Guelph, ON, Canada. Author to whom 
      any correspondence should be addressed.
FAU - Nikolov, Plamen
AU  - Nikolov P
FAU - Zabihollahy, Fatemeh
AU  - Zabihollahy F
FAU - Trayanova, Natalia A
AU  - Trayanova NA
FAU - Wright, Graham A
AU  - Wright GA
LA  - eng
GR  - R01 HL142893/HL/NHLBI NIH HHS/United States
GR  - DP1 HL123271/HL/NHLBI NIH HHS/United States
GR  - R01 HL142496/HL/NHLBI NIH HHS/United States
GR  - MOP93531/CIHR/Canada
GR  - R01 HL126802/HL/NHLBI NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20181109
PL  - England
TA  - Phys Med Biol
JT  - Physics in medicine and biology
JID - 0401220
RN  - 0 (Contrast Media)
RN  - K2I13DR72L (Gadolinium DTPA)
SB  - IM
MH  - Algorithms
MH  - Contrast Media
MH  - Defibrillators, Implantable
MH  - Female
MH  - Gadolinium DTPA
MH  - Humans
MH  - Magnetic Resonance Imaging/*methods/standards
MH  - Male
MH  - Middle Aged
MH  - *Models, Cardiovascular
MH  - Myocardial Infarction/complications/*diagnostic imaging/physiopathology
MH  - Tachycardia, Ventricular/*diagnostic imaging/epidemiology/etiology/therapy
MH  - *Ventricular Function, Left
PMC - PMC6586229
MID - NIHMS1032745
COIS- Disclosure of conflicts of interest Graham A Wright holds a patent on the MCLE 
      technique, which has been assigned to Sunnybrook Research Institute in Canada.
EDAT- 2018/11/10 06:00
MHDA- 2019/08/30 06:00
PMCR- 2019/06/20
CRDT- 2018/11/10 06:00
PHST- 2018/11/10 06:00 [entrez]
PHST- 2018/11/10 06:00 [pubmed]
PHST- 2019/08/30 06:00 [medline]
PHST- 2019/06/20 00:00 [pmc-release]
AID - 10.1088/1361-6560/aae8b2 [doi]
PST - epublish
SO  - Phys Med Biol. 2018 Nov 9;63(22):225008. doi: 10.1088/1361-6560/aae8b2.