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Prediction of the left ventricular ejection fraction using cavity-to-myocardium count ratio and perfusion scores in myocardial perfusion SPECT

Author:
Dabbagh Kakhki
,
S.R.Zakavi
,
هادی جباری نوقابی
,
Hadi Jabbari Nooghabi
Year
: 2004
Abstract: Abstract

Good correlation was reported between left ventricular cavity to myocardial count ratio (LVCMR) and left ventricular ejection fraction (LVEF). The aim of this study was to find a model to predict LVEF from LVCMR and perfusion indices. We studied 77 patients (44 males, 33 females) aged 30-70 years, mean age 52.7 years, who underwent 99mTc-MIBI myocardial perfusion SPECT and cardiac catheterization in a short time interval. The LVCMR was obtained in the mid short-axis slice on both stress (with dipyridamole) and rest images using an 8 pixels circle ROI in the LV cavity and the same ROI on the hottest area of myocardium. The 17-segment, 5-point scoring system was used as a semiquantitative global index for overall assessment of extent and severity of perfusion abnormality. Our study showed a significant correlation between angiographic LVEF and stress LVCMR (P<0.001, r =0.612) or rest LVCMR (P<0.001, r = 0.671). There was significant correlation between LVEF or LVCMR and summed stress or rest score (SSS or SRS). Using regression analysis for prediction of LVEF, the best model was achieved using SRS and rest LVCMR [Y= 46.70 + (1.13 × Rest LVCMR) – 0.59SRS]. In conclusion our study showed that LVEF can be easily estimated using a combination of rest LVCMR and summed rest score.
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/3401228
Keyword(s): Keywords: 99mTechnetium- sestamibi – Left ventricular function – Left ventricular ejection fraction – Cavity-to-myocardium count ratio – Single photon emission computed tomography
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    Prediction of the left ventricular ejection fraction using cavity-to-myocardium count ratio and perfusion scores in myocardial perfusion SPECT

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contributor authorDabbagh Kakhkien
contributor authorS.R.Zakavien
contributor authorهادی جباری نوقابیen
contributor authorHadi Jabbari Nooghabifa
date accessioned2020-06-06T14:32:42Z
date available2020-06-06T14:32:42Z
date issued2004
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3401228?locale-attribute=en
description abstractAbstract

Good correlation was reported between left ventricular cavity to myocardial count ratio (LVCMR) and left ventricular ejection fraction (LVEF). The aim of this study was to find a model to predict LVEF from LVCMR and perfusion indices. We studied 77 patients (44 males, 33 females) aged 30-70 years, mean age 52.7 years, who underwent 99mTc-MIBI myocardial perfusion SPECT and cardiac catheterization in a short time interval. The LVCMR was obtained in the mid short-axis slice on both stress (with dipyridamole) and rest images using an 8 pixels circle ROI in the LV cavity and the same ROI on the hottest area of myocardium. The 17-segment, 5-point scoring system was used as a semiquantitative global index for overall assessment of extent and severity of perfusion abnormality. Our study showed a significant correlation between angiographic LVEF and stress LVCMR (P<0.001, r =0.612) or rest LVCMR (P<0.001, r = 0.671). There was significant correlation between LVEF or LVCMR and summed stress or rest score (SSS or SRS). Using regression analysis for prediction of LVEF, the best model was achieved using SRS and rest LVCMR [Y= 46.70 + (1.13 × Rest LVCMR) – 0.59SRS]. In conclusion our study showed that LVEF can be easily estimated using a combination of rest LVCMR and summed rest score.
en
languageEnglish
titlePrediction of the left ventricular ejection fraction using cavity-to-myocardium count ratio and perfusion scores in myocardial perfusion SPECTen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsKeywords: 99mTechnetium- sestamibi – Left ventricular function – Left ventricular ejection fraction – Cavity-to-myocardium count ratio – Single photon emission computed tomographyen
journal titleHellenic Journal of Nuclear Medicinefa
pages127-130
journal volume7
journal issue2
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1017244.html
identifier articleid1017244
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