Evidence map›Paper›PMID 30023371›Full record

ArticleAnnals of translational medicine2018

Study on factors affecting local peak strain results in automatic functional imaging of transthoracic echocardiography.

Na Li, Linbin Meng, Yichen Wang, Kailing Xiong, Junxuan He, Yang Wang, Yifu Qiao, Attila Nemes, Raffaele Giordano, Lang Qiao and 1 more

Abstract read
In one paragraph

Article in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Na Li *Function Department of Sichuan Integrative Medicine Hospital, Chengdu 610000, China.
Linbin Meng *Chengdu Public Health Clinical Medical Center, Chengdu 610000, China.
Yichen WangDepartment of Orthopedics, SiChuan Provincial Orthopedic Hospital, Chengdu 610000, China.
Kailing XiongFunction Department of Sichuan Integrative Medicine Hospital, Chengdu 610000, China.
Junxuan HeFunction Department of Sichuan Integrative Medicine Hospital, Chengdu 610000, China.
Yang WangFunction Department of Sichuan Integrative Medicine Hospital, Chengdu 610000, China.
Yifu QiaoCollege of telecommunication, Xi'an Jiao Tong University, Xi'an 710049, China.
Attila NemesSecond Department of Medicine and Cardiology Centre, Medical Faculty, Albert Szent-Györgyi Clinical Centre, University of Szeged, Szeged, Hungary.
Raffaele GiordanoDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Lang QiaoFunction Department of Sichuan Integrative Medicine Hospital, Chengdu 610000, China.
written on behalf of AME Echocardiography Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the important impacting factors on the accuracy of local peak strain (RLS) in transthoracic echocardiography real-time tri-axial automatic functional imaging (AFI), to evaluate the clinical efficacy of AFI and to improve the accuracy of the results.

methodsFrom May 2016 to May 2017, 82 healthy volunteers were enrolled in the AFI examination, of which 22 were excluded and 60 were eligible. The excluded 22 patients were analyzed for exclusion reasons, and the results of the 60 eligible AFI results were studied focusing on the longitudinal left ventricular regional longitudinal peak systolic strain (RLS) in different methods of operation, to compare the results and accuracies of AFI by different influencing factors, and to find the most important ones.

resultsThe success rate of AFI for this group of subjects is 74%, and the exclusion reason is that the left ventricular segments cannot be fully displayed. Among eligible subjects, the main influencing factors on RLS were region of interest (ROI), aortic valve closure time adjustment and image frame rate selection. The differences of results obtained by different operations were statistically significant (P<0.05).

conclusionsThe success rate of AFI for this group of subjects is 74%. The RLS results were influenced by multiple factors, which can be effectively avoided.

Indexed as

accuracyAutomatic functional imaging (AFI)influencing factorsregional longitudinal peak systolic strain results (RLS results)

Identifiers

PMID30023371
PMCPMC6035981

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