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  1. Article ; Online: Validating Deep Learning to Distinguish Takotsubo Syndrome From Acute Myocardial Infarction-Beware of Shortcuts, Human Supervision Required.

    Wehbe, Ramsey M / Thomas, James D

    JAMA cardiology

    2022  Volume 7, Issue 5, Page(s) 477–479

    MeSH term(s) Deep Learning ; Electrocardiography ; Humans ; Myocardial Infarction/diagnosis ; Takotsubo Cardiomyopathy/diagnosis
    Language English
    Publishing date 2022-03-30
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2380-6591
    ISSN (online) 2380-6591
    DOI 10.1001/jamacardio.2022.0193
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  2. Article ; Online: Why Work?

    Lindner, Jonathan R / Thomas, James D

    Circulation. Cardiovascular imaging

    2022  Volume 15, Issue 5, Page(s) e014301

    MeSH term(s) Humans ; Stroke Volume ; Ventricular Function, Left
    Language English
    Publishing date 2022-05-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2435045-X
    ISSN 1942-0080 ; 1941-9651
    ISSN (online) 1942-0080
    ISSN 1941-9651
    DOI 10.1161/CIRCIMAGING.122.014301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6743: Show issues Location:
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  3. Article ; Online: Detecting Scar in Echocardiography: Has the Power Shifted?

    Appadurai, Vinesh / Thomas, James D

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2022  Volume 35, Issue 11, Page(s) 1156–1158

    MeSH term(s) Humans ; Cicatrix/diagnostic imaging ; Echocardiography ; Electrocardiography
    Language English
    Publishing date 2022-09-25
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2022.09.001
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    Zs.A 2638: Show issues Location:
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  4. Article ; Online: Reply to "Is It Time to Revise the Guidelines and Recommendations for Digital Echocardiography?"

    Thomas, James D

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

    2018  Volume 31, Issue 5, Page(s) 636–638

    MeSH term(s) Echocardiography
    Language English
    Publishing date 2018-03-29
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1035622-8
    ISSN 1097-6795 ; 0894-7317
    ISSN (online) 1097-6795
    ISSN 0894-7317
    DOI 10.1016/j.echo.2018.02.002
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  5. Article ; Online: Moving Past Ejection Fraction in Timing of Aortic Stenosis Intervention.

    Thomas, James D

    JAMA cardiology

    2018  Volume 3, Issue 9, Page(s) 847–848

    MeSH term(s) Aortic Valve ; Aortic Valve Stenosis ; Heart Ventricles ; Humans ; Prognosis ; Stroke Volume
    Language English
    Publishing date 2018-12-07
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2380-6591
    ISSN (online) 2380-6591
    DOI 10.1001/jamacardio.2018.2451
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  6. Article ; Online: Characterizing Mitral Regurgitation With Precision Phenotyping and Unsupervised Learning.

    Ouyang, David / Thomas, James D

    JACC. Cardiovascular imaging

    2021  Volume 14, Issue 12, Page(s) 2301–2302

    MeSH term(s) Echocardiography ; Humans ; Mitral Valve/diagnostic imaging ; Mitral Valve/surgery ; Mitral Valve Insufficiency/diagnostic imaging ; Predictive Value of Tests ; Unsupervised Machine Learning
    Language English
    Publishing date 2021-08-18
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2491503-8
    ISSN 1876-7591 ; 1936-878X
    ISSN (online) 1876-7591
    ISSN 1936-878X
    DOI 10.1016/j.jcmg.2021.06.023
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  7. Article ; Online: Case Studies in Assessment of the Mechanism and Severity of Mitral Regurgitation.

    Grayburn, Paul A / Thomas, James D

    JACC. Cardiovascular imaging

    2021  Volume 14, Issue 4, Page(s) 879

    MeSH term(s) Echocardiography ; Echocardiography, Doppler, Color ; Humans ; Mitral Valve Insufficiency/diagnostic imaging ; Predictive Value of Tests
    Language English
    Publishing date 2021-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2491503-8
    ISSN 1876-7591 ; 1936-878X
    ISSN (online) 1876-7591
    ISSN 1936-878X
    DOI 10.1016/j.jcmg.2020.04.032
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  8. Article ; Online: Basic Principles of the Echocardiographic Evaluation of Mitral Regurgitation.

    Grayburn, Paul A / Thomas, James D

    JACC. Cardiovascular imaging

    2021  Volume 14, Issue 4, Page(s) 843–853

    Abstract: Mitral regurgitation (MR) is a common form of valvular heart disease that is associated with significant morbidity and mortality. Treatment decisions are completely dependent on accurate diagnosis of both mechanism and severity of MR, which can be ... ...

    Abstract Mitral regurgitation (MR) is a common form of valvular heart disease that is associated with significant morbidity and mortality. Treatment decisions are completely dependent on accurate diagnosis of both mechanism and severity of MR, which can be challenging and is often done incorrectly. Transthoracic echocardiography is the most commonly used imaging test for MR; transesophageal echocardiography is often needed to better define morphology and MR severity, and is essential for guiding transcatheter therapies for MR. Multidetector computed tomography has become the standard to assess whether transcatheter valve replacement is an option because of its ability to assess valve sizing, access, and potential left ventricular outflow tract obstruction. Finally, cine cardiac magnetic resonance has been recommended by recent guidelines to quantify MR severity when the distinction between moderate and severe MR is indeterminate by echocardiography. This paper focuses on the main questions to be answered by imaging techniques and illustrates some common tips, tricks, and pitfalls in the assessment of MR.
    MeSH term(s) Echocardiography ; Echocardiography, Transesophageal ; Humans ; Mitral Valve/diagnostic imaging ; Mitral Valve/surgery ; Mitral Valve Insufficiency/diagnostic imaging ; Predictive Value of Tests
    Language English
    Publishing date 2021-01-13
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2491503-8
    ISSN 1876-7591 ; 1936-878X
    ISSN (online) 1876-7591
    ISSN 1936-878X
    DOI 10.1016/j.jcmg.2020.06.049
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  9. Article ; Online: Relationship between left atrial reservoir strain, volumes, and geometry: Insights from simple theoretical model.

    Peters, Andrew C / Lee, Jeesoo / Jankowski, Madeline / Thomas, James D

    Echocardiography (Mount Kisco, N.Y.)

    2023  Volume 40, Issue 6, Page(s) 592–595

    Abstract: Background: Left atrial (LA) volume is related to LA reservoir strain (LAS: Methods: Modeling the LA as a hemisphere with radius r, LAS: Results: The statistical and geometric model both resulted in a strong correlation (r = .8, p < .001, ... ...

    Abstract Background: Left atrial (LA) volume is related to LA reservoir strain (LAS
    Methods: Modeling the LA as a hemisphere with radius r, LAS
    Results: The statistical and geometric model both resulted in a strong correlation (r = .8, p < .001, respectively). The slope of the line in the statistical model was 3.3, which was statistically indistinguishable from the expected slope of 3 based on the geometric model (Figure 2A). Using the geometric model to compare the measured versus calculated LAESV/LAEDV also resulted in a strong correlation (r = .8, p < .001)(Figure 2B).
    Conclusion: We describe the relationship between LA volume and strain mathematically by considering the geometry of the LA. This model enhances our understanding of the interaction between atrial strain and volume. Further research is necessary to validate this using 3D atrial volumes in a broader cohort of subjects.
    MeSH term(s) Humans ; Atrial Fibrillation ; Heart Atria/diagnostic imaging ; Echocardiography/methods ; Atrial Appendage ; Models, Theoretical
    Language English
    Publishing date 2023-05-09
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 843645-9
    ISSN 1540-8175 ; 0742-2822
    ISSN (online) 1540-8175
    ISSN 0742-2822
    DOI 10.1111/echo.15587
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    Zs.MO 359: Show issues

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  10. Article ; Online: Physical Maneuvers and Recent Tools to Break the Silence of Clinically Undetectable Heart Sounds.

    Maidens, John / Chorba, John S / Thomas, James D

    JAMA internal medicine

    2022  Volume 182, Issue 5, Page(s) 574–575

    MeSH term(s) Heart Sounds ; Humans ; Physical Examination
    Language English
    Publishing date 2022-04-06
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2699338-7
    ISSN 2168-6114 ; 2168-6106
    ISSN (online) 2168-6114
    ISSN 2168-6106
    DOI 10.1001/jamainternmed.2022.0399
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