Evidence map›Paper›PMID 31714190›Full record

ArticleRadiology2020

Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study.

Ahmed S Fahmy, Ulf Neisius, Raymond H Chan, Ethan J Rowin, Warren J Manning, Martin S Maron, Reza Nezafat

Open access · greenAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  18. Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
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  20. Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ahmed S FahmyFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).ORCID 0000-0003-1992-6893
Ulf NeisiusFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).ORCID 0000-0003-4744-9166
Raymond H ChanFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).
Ethan J RowinFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).
Warren J ManningFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).
Martin S MaronFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).
Reza NezafatFrom the Departments of Medicine (Cardiovascular Division) (A.S.F., U.N., W.J.M., R.N.) and Radiology (W.J.M.), Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Ave, Boston, MA 02215; Toronto General Hospital, University Health Network, Toronto, Ontario, Canada (R.H.C.); and Hypertrophic Cardiomyopathy Center, Division of Cardiology, Tufts Medical Center, Boston, Mass (E.J.R., M.S.M.).ORCID 0000-0002-1963-7138
Beth Israel Deaconess Medical Center · USTufts Medical Center · USUniversity Health Network · CA

Funding

Cardiovascular MRI Characterization of the Arrhythmogenic Heart in Nonischemic CardiomyopathyR01HL129185 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2015 to 2024
$6.4M
Myocardial Tissue Characterization with MR Relaxometry in Heart FailureR01HL129157 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2017 to 2020
$3.2M
NHLBI NIH HHS R01 HL129157NHLBI NIH HHS R01 HL129185
6 · The paper itself

Abstract

Background Cardiac MRI late gadolinium enhancement (LGE) scar volume is an important marker for outcome prediction in patients with hypertrophic cardiomyopathy (HCM); however, its clinical application is hindered by a lack of measurement standardization. Purpose To develop and evaluate a three-dimensional (3D) convolutional neural network (CNN)-based method for automated LGE scar quantification in patients with HCM. Materials and Methods We retrospectively identified LGE MRI data in a multicenter (

Indexed as

Neural Networks, ComputerAdolescentAdultAgedAged, 80 and overCardiomyopathy, HypertrophicChildCicatrixFemaleHeartHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID31714190
PMCPMC6939743
OpenAlexW2988868890

What OpenQuestion holds

Textmetadata
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.