Role of Gated Myocardial Glucose Metabolic Imaging in Assessing Left Ventricular Systolic Dyssynchrony after Myocardial Infarction and the Influential Factors.

Xiaoliang Shao, Jianfeng Wang, Yi Tian, Shengdeng Fan, Feifei Zhang, Wei Yang, Wenchong Xin, Yuetao Wang

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Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

The feasibility ofQuantitative imaging in medicine and surgery · 2022
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8 authors.

Xiaoliang ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Jianfeng WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Yi TianDepartment of Nuclear Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.

Shengdeng FanDepartment of Anesthesiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Feifei ZhangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Wei YangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Wenchong XinDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Yuetao WangDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China. yuetao-w@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the role of gated myocardial glucose metabolic imaging in assessing left ventricular (LV) systolic dyssynchrony after myocardial infarction (MI) and explored the influencing factors. Bama mini-pigs were divided into normal group and MI group and subjected to gated myocardial metabolic imaging (GMMI) and gated myocardial perfusion imaging (GMPI). The phase bandwidth (BW), standard deviation (SD) and the latest activation site of left ventricle were obtained using program Cedars QGS. The results showed that (1) BW and SD obtained in GMMI and GMPI showed significant correlation in pigs with MI, but not in the normal pigs, (2) BW and SD obtained in GMMI and GMPI had good consistency in both normal pigs and MI pigs, (3) GMMI and GMPI had a 66.7% identity in determining the latest activation site of left ventricle in the normal pigs and 77.8% identity in determining the latest activation site of left ventricle in pigs with MI. Multivariate stepwise regression analysis showed that total perfusion deficit and summed motion score were independent factors affecting BW and SD in GMMI. In conclusion, phase analysis of GMMI images could objectively reflect LV systolic dyssynchrony resulted from interactions of multiple factors.

Indexed as

AnimalsDisease Models, AnimalGlucoseHeart VentriclesHumansMyocardial InfarctionMyocardial Perfusion ImagingMyocardiumSwineSystoleTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedVentricular Dysfunction, LeftGlucose

Identifiers

PMID30046056

DOI10.1038/s41598-018-29636-8

PMCPMC6060098

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.