PMID- 25307896
OWN - NLM
STAT- MEDLINE
DCOM- 20160329
LR  - 20211021
IS  - 1875-8312 (Electronic)
IS  - 1569-5794 (Linking)
VI  - 31
IP  - 2
DP  - 2015 Feb
TI  - Comparison of semi-automated scar quantification techniques using 
      high-resolution, 3-dimensional late-gadolinium-enhancement magnetic resonance 
      imaging.
PG  - 349-57
LID - 10.1007/s10554-014-0553-2 [doi]
AB  - The quantification and modeling of myocardial scar is of expanding interest for 
      image-guided therapy, particularly in the field of arrhythmia management. 
      Migration towards high-resolution, three-dimensional (3D) MRI techniques for 
      spatial mapping of myocardial scar provides superior spatial registration. 
      However, to date no systematic comparison of available approaches to 3D scar 
      quantification have been performed. In this study we compare the reproducibility 
      of six 3D scar segmentation algorithms for determination of left ventricular scar 
      volume. Additionally, comparison to two-dimensional (2D) scar quantification and 
      3D manual segmentation is performed. Thirty-five consecutive patients with 
      ischemic cardiomyopathy were recruited and underwent conventional 2D late 
      gadolinium enhancement (LGE) and 3D isotropic LGE imaging (voxel size 1.3 mm(3)) 
      using a 3 T scanner. 3D LGE datasets were analyzed using six semi-automated 
      segmentation techniques, including the signal threshold versus reference mean 
      (STRM) technique at >2, >3, >5 and >6 standard deviations (SD) above reference 
      myocardium, the full width at half maximum (FWHM) technique, and an 
      optimization-based technique called hierarchical max flow (HMF). The mean 
      ejection fraction was 32.1 +/- 12.7 %. Reproducibility was greatest for HMF and 
      FWHM techniques with intra-class correlation coefficient values >/=0.95. 3D scar 
      quantification and modeling is clinically feasible in patients with ischemic 
      cardiomyopathy. While several approaches show acceptable reproducibility, HMF 
      appears superior due to maintenance of accuracy towards manual segmentations.
FAU - Rajchl, Martin
AU  - Rajchl M
AD  - Imaging Laboratories, Robarts Research Institute, Western University, London, ON, 
      Canada.
FAU - Stirrat, John
AU  - Stirrat J
FAU - Goubran, Maged
AU  - Goubran M
FAU - Yu, Jeff
AU  - Yu J
FAU - Scholl, David
AU  - Scholl D
FAU - Peters, Terry M
AU  - Peters TM
FAU - White, James A
AU  - White JA
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20141012
PL  - United States
TA  - Int J Cardiovasc Imaging
JT  - The international journal of cardiovascular imaging
JID - 100969716
RN  - 0 (Contrast Media)
RN  - 0 (Organometallic Compounds)
RN  - 1BJ477IO2L (gadobutrol)
SB  - IM
MH  - Adult
MH  - Automation
MH  - Cardiomyopathies/*pathology/physiopathology
MH  - Cicatrix/*pathology
MH  - *Contrast Media
MH  - Female
MH  - Fibrosis
MH  - Humans
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Imaging, Three-Dimensional/*methods
MH  - Magnetic Resonance Imaging, Cine/*methods
MH  - Male
MH  - Middle Aged
MH  - Myocardium/*pathology
MH  - Observer Variation
MH  - *Organometallic Compounds
MH  - Predictive Value of Tests
MH  - Reproducibility of Results
EDAT- 2014/10/14 06:00
MHDA- 2016/03/30 06:00
CRDT- 2014/10/14 06:00
PHST- 2014/05/21 00:00 [received]
PHST- 2014/10/08 00:00 [accepted]
PHST- 2014/10/14 06:00 [entrez]
PHST- 2014/10/14 06:00 [pubmed]
PHST- 2016/03/30 06:00 [medline]
AID - 10.1007/s10554-014-0553-2 [doi]
PST - ppublish
SO  - Int J Cardiovasc Imaging. 2015 Feb;31(2):349-57. doi: 10.1007/s10554-014-0553-2. 
      Epub 2014 Oct 12.