Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Subendocardial versus transmural ischaemia in myocardial perfusion SPECT - a Monte Carlo study

Bartosik, Jolanta ; El Ali, Henrik Hussein LU ; Nilsson, Ulf ; Dahlstrom, Jan ; Edenbrandt, Lars and Ljungberg, Michael LU orcid (2006) In Clinical Physiology and Functional Imaging 26(6). p.343-350
Abstract
Myocardial perfusion imaging with single-photon emission computed tomography (SPECT) is useful for the evaluation of patients with known or suspected coronary artery disease. Parameters of interest are the reduction in the blood perfusion (severity) and the lesion volume (extent). The aim of this study was to evaluate these parameters, as calculated by automatic quantification software, for different cases of subendocardial and transmural myocardial lesions. Methods A computer phantom was used to simulate 32 male patients with different defect locations and activity uptakes, which were based on clinical patient studies. The Monte Carlo program SIMIND was used to simulate realistic SPECT projections which were reconstructed to give... (More)
Myocardial perfusion imaging with single-photon emission computed tomography (SPECT) is useful for the evaluation of patients with known or suspected coronary artery disease. Parameters of interest are the reduction in the blood perfusion (severity) and the lesion volume (extent). The aim of this study was to evaluate these parameters, as calculated by automatic quantification software, for different cases of subendocardial and transmural myocardial lesions. Methods A computer phantom was used to simulate 32 male patients with different defect locations and activity uptakes, which were based on clinical patient studies. The Monte Carlo program SIMIND was used to simulate realistic SPECT projections which were reconstructed to give short-axis images, analysed by the AutoQUANT program using the same procedure as for a real patient. Results The results showed a disparity between the quantification of transmural and subendocardial lesions with the same lesion activity uptake reduction and this could be confirmed by visual interpretation. Neither the parameters given by the quantification program nor visual interpretation could distinguish between the transmural lesions and the subendocardial lesions with activity uptake reduction twice as high as in the corresponding transmural lesions. Conclusion Transmural lesions and the corresponding subendocardial lesions with the same activity uptake reduction could be separated by the quantification software for SPECT imaging and visual analysis. The subendocardial lesions with activity uptake reduction twice as high as in the corresponding transmural lesions could not be differentiated neither by the quantification software nor by visual interpretation. Thus these lesions will get the same scoring when analysed by the AutoQUANT program. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
subendocardial, simulation, sestamibi, computer phantom, quantification, lesion, transmural lesion
in
Clinical Physiology and Functional Imaging
volume
26
issue
6
pages
343 - 350
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000241343500006
  • scopus:33750137771
ISSN
1475-0961
DOI
10.1111/j.1475-097X.2006.00705.x
language
English
LU publication?
yes
id
ee29e768-457d-4ba8-9ea4-eafeda7f5115 (old id 388121)
date added to LUP
2016-04-01 12:07:54
date last changed
2024-10-08 22:48:36
@article{ee29e768-457d-4ba8-9ea4-eafeda7f5115,
  abstract     = {{Myocardial perfusion imaging with single-photon emission computed tomography (SPECT) is useful for the evaluation of patients with known or suspected coronary artery disease. Parameters of interest are the reduction in the blood perfusion (severity) and the lesion volume (extent). The aim of this study was to evaluate these parameters, as calculated by automatic quantification software, for different cases of subendocardial and transmural myocardial lesions. Methods A computer phantom was used to simulate 32 male patients with different defect locations and activity uptakes, which were based on clinical patient studies. The Monte Carlo program SIMIND was used to simulate realistic SPECT projections which were reconstructed to give short-axis images, analysed by the AutoQUANT program using the same procedure as for a real patient. Results The results showed a disparity between the quantification of transmural and subendocardial lesions with the same lesion activity uptake reduction and this could be confirmed by visual interpretation. Neither the parameters given by the quantification program nor visual interpretation could distinguish between the transmural lesions and the subendocardial lesions with activity uptake reduction twice as high as in the corresponding transmural lesions. Conclusion Transmural lesions and the corresponding subendocardial lesions with the same activity uptake reduction could be separated by the quantification software for SPECT imaging and visual analysis. The subendocardial lesions with activity uptake reduction twice as high as in the corresponding transmural lesions could not be differentiated neither by the quantification software nor by visual interpretation. Thus these lesions will get the same scoring when analysed by the AutoQUANT program.}},
  author       = {{Bartosik, Jolanta and El Ali, Henrik Hussein and Nilsson, Ulf and Dahlstrom, Jan and Edenbrandt, Lars and Ljungberg, Michael}},
  issn         = {{1475-0961}},
  keywords     = {{subendocardial; simulation; sestamibi; computer phantom; quantification; lesion; transmural lesion}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{343--350}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Clinical Physiology and Functional Imaging}},
  title        = {{Subendocardial versus transmural ischaemia in myocardial perfusion SPECT - a Monte Carlo study}},
  url          = {{http://dx.doi.org/10.1111/j.1475-097X.2006.00705.x}},
  doi          = {{10.1111/j.1475-097X.2006.00705.x}},
  volume       = {{26}},
  year         = {{2006}},
}