Journal of Nuclear Cardiology

, Volume 25, Issue 3, pp 742–753 | Cite as

Summed thickening score by myocardial perfusion imaging: A risk factor of left ventricular remodeling in patients with myocardial infarction

  • Wei Yang
  • Feifei Zhang
  • Haipeng Tang
  • Xiaoliang Shao
  • Jianfeng Wang
  • Xiaosong Wang
  • Xiaonan Shao
  • Wenchong Xin
  • Ling Yang
  • Weihua Zhou
  • Yuetao Wang
Original Article



Left ventricular (LV) remodeling has adverse effects on the prognosis of patients with myocardial infarction (MI). The aim of this study is to identify the risk factors of LV remodeling in MI patients by radionuclide myocardial imaging.

Methods and Results

This retrospective study consisted of 92 patients who had a history of definite prior MI on ECG and underwent both resting gated single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) and positron emission tomography (PET) myocardial metabolism imaging. LV remodeling was defined as > mean + 2SD of LV end-diastolic volume index (LVEDVi) in the normal database. LV enlargement, cardiac dysfunction, wall thickening abnormalities expressed as summed thickening score (STS) were more severe in the old MI patients as compared to those with subacute MI. STS (Odds ratio, 1.296; P = .004) and the proportion of segments with reduced wall thickening in segments with normal perfusion (Odds ratio, 1.110; P = .001) were identified as the independent factors of LV remodeling in subacute and old MI patients in the multivariate binary regression model. Total perfusion deficit (TPD), viable myocardium, scar, and the proportion of segments with reduced wall thickening in segments with decreased perfusion showed strong correlation with LV remodeling in the univariate regression model as well.


LV remodeling in old MI patients is more extensive and severe than that in subacute MI patients. LV wall thickening abnormalities as expressed by STS and the proportion of segments with reduced wall thickening in segments with normal perfusion are the independent risk factors of LV remodeling in MI patients.


SPECT PET myocardial infarction left ventricular remodeling summed thickening score 



Left ventricular


Left ventricular ejection fraction


Cardiac magnetic resonance


Myocardial infarction


Single photon emission computed tomography


Myocardial perfusion imaging






Positron emission tomography


Summed thickening score


Total perfusion deficit




Left ventricular end-diastolic volume


Left ventricular end-systolic volume


Canadian class classification of angina pectoris


New York Heart Association classification of heart failure


Chronic obstructive pulmonary disease



This research was supported by grants from National Natural Science Foundation of China (Project Number: 81471690, PI: Yuetao Wang), Key Research Foundation of Jiangsu Province (Project Number: BE2015635, PI: Yuetao Wang), Major Project of Changzhou City Health Bureau (Project Number: ZD201409, PI: Xiaosong Wang), and Application and Basic Research Funds of Changzhou Science and Technology Bureau ((Project Number: J20160030, PI: Ling Yang). This research was also supported by a grant from the American Heart Association (Project Number: 17AIREA33700016, PI: Weihua Zhou) and a New Faculty startup grant from the University of Southern Mississippi (Project Number: DE01791, PI: Weihua Zhou).


None of the authors have any relevant conflicts of interest.

Supplementary material

12350_2018_1200_MOESM1_ESM.pptx (874 kb)
Supplementary material 1 (PPT 868 kb)
12350_2018_1200_MOESM2_ESM.mp3 (6.5 mb)
Supplementary material 2 (MP3 6681 kb)


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Copyright information

© American Society of Nuclear Cardiology 2018

Authors and Affiliations

  • Wei Yang
    • 1
  • Feifei Zhang
    • 1
  • Haipeng Tang
    • 2
  • Xiaoliang Shao
    • 1
  • Jianfeng Wang
    • 1
  • Xiaosong Wang
    • 1
  • Xiaonan Shao
    • 1
  • Wenchong Xin
    • 1
  • Ling Yang
    • 3
  • Weihua Zhou
    • 2
  • Yuetao Wang
    • 1
  1. 1.Department of Nuclear MedicineThe Third Affiliated Hospital of Soochow UniversityChangzhouChina
  2. 2.School of ComputingUniversity of Southern MississippiLong BeachUSA
  3. 3.Department of CardiologyThe Third Affiliated Hospital of Soochow UniversityChangzhouChina

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