Evidence map›Paper›PMID 30855541›Full record

ArticleNuclear medicine communications2019

Gated single-photon emission computed tomography myocardial perfusion imaging is superior to computed tomography attenuation correction in discriminating myocardial infarction from attenuation artifacts in men and right coronary artery disease.

Wenchong Xin, Xiaoyu Yang, Jianfeng Wang, Xiaoliang Shao, Feifei Zhang, Yunmei Shi, Bao Liu, Wenji Yu, Haipeng Tang, Zhifang Wu and 2 more

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Wenchong XinDepartments of Nuclear Medicine.
Xiaoyu YangCardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province.
Jianfeng WangDepartments of Nuclear Medicine.
Xiaoliang ShaoDepartments of Nuclear Medicine.
Feifei ZhangDepartments of Nuclear Medicine.
Yunmei ShiDepartments of Nuclear Medicine.
Bao LiuDepartments of Nuclear Medicine.
Wenji YuDepartments of Nuclear Medicine.
Haipeng TangSchool of Computing, University of Southern Mississippi, Long Beach, Mississippi, USA.
Zhifang WuDepartment of Nuclear Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China.
Yuetao WangDepartments of Nuclear Medicine.
Weihua ZhouSchool of Computing, University of Southern Mississippi, Long Beach, Mississippi, USA.

Funding

American Heart Association-American Stroke Association 17AIREA33700016
6 · The paper itself

Abstract

backgroundIn single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) studies, attenuation artifacts frequently cause false positives, which can be partially overcome by computed tomography attenuation correction (CT-AC) or gated acquisition [gated myocardial perfusion imaging (GMPI)]. The purpose of this study is to evaluate their relative diagnostic performances for coronary artery disease (CAD). PATIENTS AND

methodsWe enrolled 181 patients who underwent gated SPECT with CT-AC in this study. Two observers who were blinded to the clinical data interpreted the GMPI and CT-AC images. Coronary angiography was considered as the reference standard. The diagnostic efficacy was evaluated based on sex, BMI, and individual coronary arteries.

resultsThe diagnostic accuracy of GMPI was higher than that of nonattenuation correction overall, as well as for men, overweight individuals, and right CAD (P<0.05). Compared with CT-AC, GMPI overall had a higher specificity (96.3 vs. 86.9%, P=0.014) but the same sensitivity, achieving an increased accuracy and area under the curve (AUC, P>0.05). For diagnosing right CAD, GMPI had a higher diagnostic efficacy (AUC: 0.733 vs. 0.596, P<0.001) because of its higher sensitivity (52.0 vs. 26.0%, P=0.008); for men, the diagnostic efficacy of GMPI was significantly higher than that of CT-AC (AUC: 0.754 vs. 0.681, P=0.038).

conclusionBoth CT-AC and GMPI led to an increased diagnostic efficacy compared with nonattenuation correction in differentiating attenuation artifacts from fixed perfusion defects. These improvements were, however, more obvious for GMPI than for CT-AC, especially in men and right CAD.

Indexed as

ArtifactsCardiac-Gated Single-Photon Emission Computer-Assisted TomographyMyocardial Perfusion ImagingCoronary Artery DiseaseFemaleHumansImage Processing, Computer-AssistedMaleMiddle Aged

Identifiers

PMID30855541
PMCPMC10955149

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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.