Connection

Sheldon Litwin to Predictive Value of Tests

This is a "connection" page, showing publications Sheldon Litwin has written about Predictive Value of Tests.
Connection Strength

0.965
  1. In the Eye of the Beholder: Defining Severe Aortic Regurgitation and the Timing of Intervention. JACC Cardiovasc Imaging. 2022 10; 15(10):1742-1744.
    View in: PubMed
    Score: 0.152
  2. Left Atrial Strain: A Single Parameter for Assessing the Dark Side of the Cardiac?Cycle? JACC Cardiovasc Imaging. 2020 10; 13(10):2114-2116.
    View in: PubMed
    Score: 0.133
  3. Should We Test for Diastolic Dysfunction? How and How Often? JACC Cardiovasc Imaging. 2020 01; 13(1 Pt 2):297-309.
    View in: PubMed
    Score: 0.121
  4. Effects of obesity on noninvasive test results in patients with suspected cardiac ischemia: Insights from the PROMISE trial. J Cardiovasc Comput Tomogr. 2019 Jul - Aug; 13(4):211-218.
    View in: PubMed
    Score: 0.119
  5. Noninvasive diagnosis of cardiac allograft rejection using echocardiography indices of systolic and diastolic function. Transplant Proc. 2011 Dec; 43(10):3877-81.
    View in: PubMed
    Score: 0.072
  6. The effect of obesity on regadenoson-induced myocardial hyperemia: a quantitative magnetic resonance imaging study. Int J Cardiovasc Imaging. 2012 Aug; 28(6):1435-44.
    View in: PubMed
    Score: 0.071
  7. Predictive Value of Cardiac CTA, Cardiac MRI, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence. AJR Am J Roentgenol. 2021 08; 217(2):336-346.
    View in: PubMed
    Score: 0.035
  8. Cardiac Computed Tomography for Atrial Fibrillation Patients Undergoing Ablation: Implications for the Prediction of Early Recurrence. J Thorac Imaging. 2020 May; 35(3):186-192.
    View in: PubMed
    Score: 0.032
  9. Assessment of Predictors of Left Atrial Volume Response to a Transcatheter InterAtrial Shunt Device (from the REDUCE LAP-HF Trial). Am J Cardiol. 2019 12 15; 124(12):1912-1917.
    View in: PubMed
    Score: 0.031
  10. Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
    View in: PubMed
    Score: 0.031
  11. Accuracy of Noncontrast Quiescent-Interval Single-Shot Lower Extremity MR Angiography Versus CT?Angiography for Diagnosis of Peripheral Artery Disease: Comparison With Digital Subtraction Angiography. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1116-1124.
    View in: PubMed
    Score: 0.026
  12. Correlation and predictive value of aortic root calcification markers with coronary artery calcification and obstructive coronary artery disease. Radiol Med. 2017 Feb; 122(2):113-120.
    View in: PubMed
    Score: 0.025
  13. Prognostic value of CT-derived left atrial and left ventricular measures in patients with acute chest pain. Eur J Radiol. 2017 Jan; 86:163-168.
    View in: PubMed
    Score: 0.025
  14. Sex Differences in Demographics, Risk Factors, Presentation, and Noninvasive Testing in Stable Outpatients With Suspected Coronary Artery Disease: Insights From the PROMISE Trial. JACC Cardiovasc Imaging. 2016 Apr; 9(4):337-46.
    View in: PubMed
    Score: 0.024
  15. Prognostic value of normal stress echocardiography in obese patients. J Obes. 2014; 2014:419724.
    View in: PubMed
    Score: 0.022
  16. High prevalence of right ventricular dysfunction in ICD patients with shocks: a potential new predictor in risk stratification. J Interv Card Electrophysiol. 2011 Aug; 31(2):165-9.
    View in: PubMed
    Score: 0.017
  17. Left atrial strain and strain rate in patients with paroxysmal and persistent atrial fibrillation: relationship to left atrial structural remodeling detected by delayed-enhancement MRI. Circ Cardiovasc Imaging. 2010 May; 3(3):231-9.
    View in: PubMed
    Score: 0.016
  18. The associations between tricuspid annular plane systolic excursion (TAPSE), ventricular dyssynchrony, and ventricular interaction in heart failure patients. Eur J Echocardiogr. 2008 Nov; 9(6):766-71.
    View in: PubMed
    Score: 0.014
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.