PMID- 30268306
OWN - NLM
STAT- MEDLINE
DCOM- 20190923
LR  - 20190923
IS  - 1365-229X (Electronic)
IS  - 0009-9260 (Linking)
VI  - 73
IP  - 12
DP  - 2018 Dec
TI  - Quantitative assessment of myocardial scar heterogeneity using cardiovascular 
      magnetic resonance texture analysis to risk stratify patients post-myocardial 
      infarction.
PG  - 1059.e17-1059.e26
LID - S0009-9260(18)30518-X [pii]
LID - 10.1016/j.crad.2018.08.012 [doi]
AB  - AIM: To determine whether heterogeneity of cardiac scar, as assessed by 
      cardiovascular magnetic resonance (CMR) texture analysis, may provide insight 
      into better risk stratification for patients with previous myocardial infarction 
      (MI). MATERIALS AND METHODS: Patients with previous MI (n=76) were followed for a 
      median of 371.5 days after late gadolinium enhancement (LGE) CMR. The primary 
      endpoint was a composite of ventricular tachycardia, ventricular fibrillation, or 
      unexplained syncope. Areas of LGE were identified and manually segmented on a 
      short-axis projection. The characteristics of the scar heterogeneity were 
      evaluated via CMR texture analysis. This is a filtration-histogram technique, 
      where images are filtered using the Laplacian of a Gaussian filter to extract 
      features different sizes (2-6 mm in radius) corresponding to fine, medium, and 
      coarse texture scales followed by a quantification step using histogram analysis 
      (skewness and kurtosis). RESULTS: Patients suffering arrhythmic events during the 
      follow-up period demonstrated significantly higher kurtosis (coarse-scale, 
      p=0.005) and lower skewness (fine-scale, p=0.046) compared to those suffering no 
      arrhythmic events. Furthermore, Kaplan-Meier analysis showed significantly higher 
      coarse kurtosis (p=0.004), and lower fine skewness (p=0.035) were able to predict 
      increased incidence of ventricular arrhythmic events. CONCLUSIONS: In this pilot 
      study, indices of texture analysis reflecting textural heterogeneity were 
      significantly associated with a greater incidence of arrhythmic events. Further 
      work is required to delineate the role of texture analysis techniques in risk 
      stratification post-MI.
CI  - Copyright (c) 2018. Published by Elsevier Ltd.
FAU - Gibbs, T
AU  - Gibbs T
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Villa, A D M
AU  - Villa ADM
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Sammut, E
AU  - Sammut E
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Jeyabraba, S
AU  - Jeyabraba S
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Carr-White, G
AU  - Carr-White G
AD  - Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
FAU - Ismail, T F
AU  - Ismail TF
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Mullen, G
AU  - Mullen G
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
FAU - Ganeshan, B
AU  - Ganeshan B
AD  - Institute of Nuclear Medicine, University College London, UK.
FAU - Chiribiri, A
AU  - Chiribiri A
AD  - School of Biomedical Engineering and Imaging Sciences, King's College London, UK. 
      Electronic address: amedeo.chiribiri@kcl.ac.uk.
LA  - eng
PT  - Journal Article
DEP - 20180927
PL  - England
TA  - Clin Radiol
JT  - Clinical radiology
JID - 1306016
SB  - IM
MH  - Aged
MH  - Cicatrix/*diagnostic imaging/pathology
MH  - Evaluation Studies as Topic
MH  - Female
MH  - Heart Ventricles/*diagnostic imaging/pathology
MH  - Humans
MH  - *Magnetic Resonance Imaging
MH  - Male
MH  - Middle Aged
MH  - Myocardial Infarction/complications/*diagnostic imaging/pathology
MH  - Pilot Projects
MH  - Prognosis
MH  - Reproducibility of Results
MH  - Risk Assessment
EDAT- 2018/10/01 06:00
MHDA- 2019/09/24 06:00
CRDT- 2018/10/01 06:00
PHST- 2017/05/26 00:00 [received]
PHST- 2018/08/26 00:00 [accepted]
PHST- 2018/10/01 06:00 [pubmed]
PHST- 2019/09/24 06:00 [medline]
PHST- 2018/10/01 06:00 [entrez]
AID - S0009-9260(18)30518-X [pii]
AID - 10.1016/j.crad.2018.08.012 [doi]
PST - ppublish
SO  - Clin Radiol. 2018 Dec;73(12):1059.e17-1059.e26. doi: 10.1016/j.crad.2018.08.012. 
      Epub 2018 Sep 27.