Incremental Value of Subtended Myocardial Mass for Identifying FFR-Verified Ischemia Using Quantitative CT Angiography: Comparison With Quantitative Coronary Angiography and CT-FFR.

[1]  Seung‐Jung Park,et al.  Coronary CT angiography characteristics of OCT-defined thin-cap fibroatheroma: a section-to-section comparison study , 2018, European Radiology.

[2]  Charles A. Taylor,et al.  Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve. , 2017, Journal of cardiovascular computed tomography.

[3]  Young-Hak Kim,et al.  Diagnostic performance of on-site CT-derived fractional flow reserve versus CT perfusion , 2017, European heart journal cardiovascular Imaging.

[4]  J. Seo,et al.  Myocardial segmentation based on coronary anatomy using coronary computed tomography angiography: Development and validation in a pig model , 2017, European Radiology.

[5]  Jin-Ho Choi,et al.  Physiological Severity of Coronary Artery Stenosis Depends on the Amount of Myocardial Mass Subtended by the Coronary Artery. , 2016, JACC. Cardiovascular interventions.

[6]  June-Goo Lee,et al.  Mathematically Derived Criteria for Detecting Functionally Significant Stenoses Using Coronary Computed Tomographic Angiography-Based Myocardial Segmentation and Intravascular Ultrasound-Measured Minimal Lumen Area. , 2016, The American journal of cardiology.

[7]  J. Leipsic,et al.  Association of Coronary Stenosis and Plaque Morphology With Fractional Flow Reserve and Outcomes. , 2016, JAMA cardiology.

[8]  U. Schoepf,et al.  Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. , 2016, Journal of cardiovascular computed tomography.

[9]  June-Goo Lee,et al.  Better Diagnosis of Functionally Significant Intermediate Sized Narrowings Using Intravascular Ultrasound-Minimal Lumen Area and Coronary Computed Tomographic Angiography-Based Myocardial Segmentation. , 2016, The American journal of cardiology.

[10]  A. Kono,et al.  Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm. , 2016, Journal of cardiovascular computed tomography.

[11]  H. Bøtker,et al.  Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions , 2016, European heart journal.

[12]  Hyuk-Jae Chang,et al.  Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound , 2015, European Radiology.

[13]  D. Berman,et al.  Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography. , 2015, European heart journal cardiovascular Imaging.

[14]  A. Kono,et al.  Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics algorithm. , 2015, Radiology.

[15]  Y. Kim,et al.  Korean Guidelines for the Appropriate Use of Cardiac CT , 2015, Korean journal of radiology.

[16]  Stefan Baumann,et al.  Comparison of diagnostic value of a novel noninvasive coronary computed tomography angiography method versus standard coronary angiography for assessing fractional flow reserve. , 2014, The American journal of cardiology.

[17]  J. Fleg,et al.  High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. , 2014, Journal of the American College of Cardiology.

[18]  Hiroshi Ito,et al.  Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). , 2014, Journal of the American College of Cardiology.

[19]  Seung‐Jung Park,et al.  Trends in the outcomes of percutaneous coronary intervention with the routine incorporation of fractional flow reserve in real practice. , 2013, European heart journal.

[20]  D. Berman,et al.  Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity. , 2013, Journal of the American College of Cardiology.

[21]  R. Torguson,et al.  FIRST: Fractional Flow Reserve and Intravascular Ultrasound Relationship Study. , 2013, Journal of the American College of Cardiology.

[22]  Dorin Comaniciu,et al.  A framework for personalization of coronary flow computations during rest and hyperemia , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[23]  Eun Bo Shim,et al.  Visual-functional mismatch between coronary angiography and fractional flow reserve. , 2012, JACC. Cardiovascular interventions.

[24]  Seung‐Jung Park,et al.  Usefulness of minimal luminal coronary area determined by intravascular ultrasound to predict functional significance in stable and unstable angina pectoris. , 2012, The American journal of cardiology.

[25]  R. Kirkeeide,et al.  Is discordance of coronary flow reserve and fractional flow reserve due to methodology or clinically relevant coronary pathophysiology? , 2012, JACC. Cardiovascular imaging.

[26]  P. Serruys,et al.  Morphology of coronary artery lesions assessed by virtual histology intravascular ultrasound tissue characterization and fractional flow reserve , 2012, The International Journal of Cardiovascular Imaging.

[27]  A. Dunning,et al.  Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. , 2011, Journal of the American College of Cardiology.

[28]  M. Pencina,et al.  Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond , 2008, Statistics in medicine.

[29]  K. Gould,et al.  Pressure-derived fractional flow reserve to assess serial epicardial stenoses: theoretical basis and animal validation. , 2000, Circulation.

[30]  J H Parker,et al.  Parametric Extension of the Classical Exposure-Schedule Theory for Angle-Multiplexed Photorefractive Recording over Wide Angles. , 1998, Applied optics.

[31]  P. H. van der Voort,et al.  Fractional flow reserve. A useful index to evaluate the influence of an epicardial coronary stenosis on myocardial blood flow. , 1995, Circulation.

[32]  R. Wilson,et al.  Effects of adenosine on human coronary arterial circulation. , 1990, Circulation.

[33]  D. Berman,et al.  Atherosclerotic plaque characteristics by CT angiography identify coronary lesions that cause ischemia: a direct comparison to fractional flow reserve. , 2015, JACC. Cardiovascular imaging.

[34]  Gabriel P. Krestin,et al.  Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation , 2014, European Radiology.