Evidence map›Paper›PMID 32507020›Full record

ArticleCirculation. Cardiovascular imaging2020

Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T.

Guan Wang, Sang-Eun Lee, Qi Yang, Vignesh Sadras, Suraj Patel, Hsin-Jung Yang, Behzad Sharif, Avinash Kali, Ivan Cokic, Guoxi Xie and 6 more

Erratum issuedOpen access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 3 countries.

Guan Wang *Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Sang-Eun Lee *Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., H.-J.C.).
Qi Yang *Department of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Vignesh SadrasDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Suraj PatelDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Hsin-Jung YangDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Behzad SharifDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Avinash KaliDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Ivan CokicDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Guoxi XieGuangzhou Medical University, China (G.X.).
Mourad TighiouartBiostatistics and Bioinformatics Research Center (M.T.), Cedars-Sinai Medical Center, Los Angeles, CA.
Jeremy CollinsDepartment of Radiology, Mayo Clinic, Rochester (J.C.).
Debiao LiDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Daniel S BermanDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Hyuk-Jae ChangDivision of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea (S.-E.L., H.-J.C.).
Rohan DharmakumarDepartment of Biomedical Sciences, Biomedical Imaging Research Institute (G.W., Q.Y., V.S., S.P., H.-J.Y., B.S., A.K., I.C., D.L., D.S.B., R.D.), Cedars-Sinai Medical Center, Los Angeles, CA.
Cedars-Sinai Medical Center · USEwha Womans University · KRGuangzhou Medical University · CNMayo Clinic · USSeverance Hospital · KR

Funding

An Accurate Non-Contrast-Enhanced Cardiac MRI Method for Imaging Chronic Myocardial Infarctions: Technical Developments to Rapid Clinical ValidationR01HL136578 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI LI, DEBIAO · 2017 to 2020
$3.4M
Accurate, Needle-Free, MRI-based Detection of Ischemic Heart Disease without Contrast AgentsR01HL148788 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI DHARMAKUMAR, ROHAN · 2020 to 2023
$3.0M
NHLBI NIH HHS R01 HL136578NHLBI NIH HHS R01 HL148788
6 · The paper itself

Abstract

backgroundPreclinical studies and pilot patient studies have shown that chronic infarctions can be detected and characterized from cardiac magnetic resonance without gadolinium-based contrast agents using native-T1 maps at 3T. We aimed to investigate the diagnostic capacity of this approach for characterizing chronic myocardial infarctions (MIs) in a multi-center setting.

methodsPatients with a prior MI (n=105) were recruited at 3 different medical centers and were imaged with native-T1 mapping and late gadolinium enhancement (LGE) at 3T. Infarct location, size, and transmurality were determined from native-T1 maps and LGE. Sensitivity, specificity, receiver-operating characteristic metrics, and inter- and intraobserver variabilities were assessed relative to LGE.

resultsAcross all subjects, T1 of MI territory was 1621±110 ms, and remote territory was 1225±75 ms. Sensitivity, specificity, and area under curve for detecting MI location based on native-T1 mapping relative to LGE were 88%, 92%, and 0.93, respectively. Native-T1 maps were not different for measuring infarct size (native-T1 maps: 12.1±7.5%; LGE: 11.8±7.2%,

conclusionsNative-T1 mapping can be used to image chronic MI with high degree of accuracy, and as such, it is a viable alternative for scar imaging in patients with chronic MI who are contraindicated for LGE. Technical advancements may be needed to overcome the imaging confounders that currently limit native-T1 mapping from reaching equivalent detection levels as LGE.

Indexed as

Magnetic Resonance ImagingAgedChinaChronic DiseaseContrast MediaFemaleHumansLos AngelesMaleMiddle AgedMyocardial InfarctionMyocardiumObserver VariationOrganometallic CompoundsPredictive Value of TestsPrognosisContrast MediagadobutrolOrganometallic Compoundsarea under curvecontrast mediagadoliniummagnetic resonance imagingmyocardial infarction

Identifiers

PMID32507020
PMCPMC7363195
OpenAlexW3033788887

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.