Connection

U. Schoepf to Computed Tomography Angiography

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This is a "connection" page, showing publications U. Schoepf has written about Computed Tomography Angiography.
U. Schoepf
Connection Strength
23.066
Computed Tomography Angiography
  1. Slow and Steady Wins the Race: Lower Heart Rates Improve Diagnostic Quality for Coronary CT Angiography. Radiology. 2021 09; 300(3):704-705.
    View in: PubMed
    Score: 0.544
  2. Evaluating a New Contrast Media Injection System in Coronary CT Angiography. Radiol Technol. 2021 Jan; 92(3):232-239.
    View in: PubMed
    Score: 0.527
  3. Evaluation of a Tube Voltage-Tailored Contrast Medium Injection Protocol for Coronary CT Angiography: Results From the Prospective VOLCANIC Study. AJR Am J Roentgenol. 2020 11; 215(5):1049-1056.
    View in: PubMed
    Score: 0.517
  4. In-Hospital Cost Comparison of Triple-Rule-Out Computed Tomography Angiography Versus Standard of Care in Patients With Acute Chest Pain. J Thorac Imaging. 2020 May; 35(3):198-203.
    View in: PubMed
    Score: 0.503
  5. Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography. J Thorac Imaging. 2020 May; 35 Suppl 1:S49-S57.
    View in: PubMed
    Score: 0.503
  6. Contrast medium injection protocols for coronary CT angiography: should contrast medium volumes be tailored to body weight or body surface area? Clin Radiol. 2020 05; 75(5):395.e17-395.e24.
    View in: PubMed
    Score: 0.492
  7. Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm. JACC Cardiovasc Imaging. 2020 02; 13(2 Pt 1):524-526.
    View in: PubMed
    Score: 0.487
  8. 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: 0.479
  9. Relationship Between Pregnancy Complications and Subsequent Coronary Artery Disease Assessed by Coronary Computed Tomographic Angiography in Black Women. Circ Cardiovasc Imaging. 2019 07; 12(7):e008754.
    View in: PubMed
    Score: 0.476
  10. Design of CTP-PRO study (impact of stress Cardiac computed Tomography myocardial Perfusion on downstream resources and PROgnosis in patients with suspected or known coronary artery disease: A multicenter international study). Int J Cardiol. 2019 10 01; 292:253-257.
    View in: PubMed
    Score: 0.473
  11. FFR-CT and CT Myocardial?Perfusion?Imaging: Friends or Foes? JACC Cardiovasc Imaging. 2019 12; 12(12):2472-2474.
    View in: PubMed
    Score: 0.468
  12. Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease. J Cardiovasc Comput Tomogr. 2019 May - Jun; 13(3):26-33.
    View in: PubMed
    Score: 0.463
  13. Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging. Eur J Radiol. 2019 Jan; 110:175-180.
    View in: PubMed
    Score: 0.456
  14. Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 2018 Jul; 288(1):64-72.
    View in: PubMed
    Score: 0.436
  15. Contrast Media for Coronary CT Angiography: Should an Iso-osmolar Agent Be Used? Radiology. 2018 01; 286(1):81-82.
    View in: PubMed
    Score: 0.428
  16. Coronary CT Angiography-derived Fractional Flow Reserve. Radiology. 2017 10; 285(1):17-33.
    View in: PubMed
    Score: 0.421
  17. CT myocardial perfusion imaging: ready for prime time? Eur Radiol. 2018 Mar; 28(3):1253-1256.
    View in: PubMed
    Score: 0.421
  18. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve for Therapeutic Decision Making. Am J Cardiol. 2017 Dec 15; 120(12):2121-2127.
    View in: PubMed
    Score: 0.420
  19. Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. Am J Cardiol. 2017 Oct 15; 120(8):1260-1266.
    View in: PubMed
    Score: 0.415
  20. FFR-Derived From?Coronary CT?Angiography Using Workstation-Based Approaches. JACC Cardiovasc Imaging. 2017 04; 10(4):497-498.
    View in: PubMed
    Score: 0.406
  21. State-of-the-Art Pulmonary CT Angiography for Acute Pulmonary Embolism. AJR Am J Roentgenol. 2017 Mar; 208(3):495-504.
    View in: PubMed
    Score: 0.397
  22. Cardiac CTA for Evaluation of Prosthetic?Valve?Dysfunction. JACC Cardiovasc Imaging. 2017 01; 10(1):91-93.
    View in: PubMed
    Score: 0.396
  23. Comparison of Coronary Computed Tomography Angiography-Derived vs Invasive Fractional Flow Reserve Assessment: Meta-Analysis with Subgroup Evaluation of Intermediate Stenosis. Acad Radiol. 2016 11; 23(11):1402-1411.
    View in: PubMed
    Score: 0.391
  24. Prognostic implications of coronary CT angiography-derived quantitative markers for the prediction of major adverse cardiac events. J Cardiovasc Comput Tomogr. 2016 Nov - Dec; 10(6):458-465.
    View in: PubMed
    Score: 0.388
  25. Coronary CT angiography-derived quantitative markers for predicting in-stent restenosis. J Cardiovasc Comput Tomogr. 2016 Sep-Oct; 10(5):377-83.
    View in: PubMed
    Score: 0.386
  26. Myocardial perfusion imaging with dual energy CT. Eur J Radiol. 2016 Oct; 85(10):1914-1921.
    View in: PubMed
    Score: 0.386
  27. Dynamic CT myocardial perfusion imaging identifies early perfusion abnormalities in diabetes and hypertension: Insights from a multicenter registry. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):301-8.
    View in: PubMed
    Score: 0.383
  28. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):199-206.
    View in: PubMed
    Score: 0.378
  29. Effect of automated tube voltage selection, integrated circuit detector and advanced iterative reconstruction on radiation dose and image quality of 3rd generation dual-source aortic CT angiography: An intra-individual comparison. Eur J Radiol. 2016 May; 85(5):972-8.
    View in: PubMed
    Score: 0.377
  30. Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates - A dynamic phantom study. Eur J Radiol. 2023 Apr; 161:110746.
    View in: PubMed
    Score: 0.153
  31. Coronary Computed Tomography Angiography-Based Calcium Scoring: In Vitro and In Vivo Validation of a Novel Virtual Noniodine Reconstruction Algorithm on a Clinical, First-Generation Dual-Source Photon Counting-Detector System. Invest Radiol. 2022 08 01; 57(8):536-543.
    View in: PubMed
    Score: 0.143
  32. One-year outcomes of CCTA alone versus machine learning-based FFRCT for coronary artery disease: a single-center, prospective study. Eur Radiol. 2022 Aug; 32(8):5179-5188.
    View in: PubMed
    Score: 0.143
  33. Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia. BMC Cardiovasc Disord. 2022 02 05; 22(1):34.
    View in: PubMed
    Score: 0.142
  34. Feasibility and Impact of the Combined Application of Coronary CT Angiography With the HEART Pathway in Patients With Suspected Acute Coronary Syndrome. Crit Pathw Cardiol. 2021 12 01; 20(4):185-191.
    View in: PubMed
    Score: 0.140
  35. Calcium Scoring at Coronary CT Angiography Using Deep Learning. Radiology. 2022 02; 302(2):309-316.
    View in: PubMed
    Score: 0.140
  36. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence. Open Heart. 2021 11; 8(2).
    View in: PubMed
    Score: 0.140
  37. Utility of Functional and Volumetric Left Atrial Parameters Derived From Preprocedural Cardiac CTA in Predicting Mortality After Transcatheter Aortic Valve Replacement. AJR Am J Roentgenol. 2022 03; 218(3):444-452.
    View in: PubMed
    Score: 0.139
  38. Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 2022 01; 302(1):50-58.
    View in: PubMed
    Score: 0.139
  39. Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography. J Cardiovasc Comput Tomogr. 2021 Nov-Dec; 15(6):492-498.
    View in: PubMed
    Score: 0.136
  40. Measurement accuracy of prototype non-contrast, compressed sensing-based, respiratory motion-resolved whole heart cardiovascular magnetic resonance angiography for the assessment of thoracic aortic dilatation: comparison with computed tomography angiography. J Cardiovasc Magn Reson. 2021 02 08; 23(1):7.
    View in: PubMed
    Score: 0.133
  41. Quantitative analysis of dynamic computed tomography angiography for the detection of endoleaks after abdominal aorta aneurysm endovascular repair: A feasibility study. PLoS One. 2021; 16(1):e0245134.
    View in: PubMed
    Score: 0.132
  42. CT Angiography-Derived RECHARGE Score Predicts Successful Percutaneous Coronary Intervention in Patients with Chronic Total Occlusion. Korean J Radiol. 2021 05; 22(5):697-705.
    View in: PubMed
    Score: 0.132
  43. A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images. Nat Commun. 2020 11 30; 11(1):6090.
    View in: PubMed
    Score: 0.131
  44. Tube Voltage, DNA Double-Strand Breaks, and Image Quality in Coronary CT Angiography. Korean J Radiol. 2020 08; 21(8):967-977.
    View in: PubMed
    Score: 0.128
  45. Ischemia and outcome prediction by cardiac CT based machine learning. Int J Cardiovasc Imaging. 2020 Dec; 36(12):2429-2439.
    View in: PubMed
    Score: 0.127
  46. More holes, more contrast? Comparing an 18-gauge non-fenestrated catheter with a 22-gauge fenestrated catheter for cardiac CT. PLoS One. 2020; 15(6):e0234311.
    View in: PubMed
    Score: 0.127
  47. Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease. Eur Radiol. 2020 Nov; 30(11):5841-5851.
    View in: PubMed
    Score: 0.126
  48. Low-kV coronary artery calcium scoring with tin filtration using a kV-independent reconstruction algorithm. J Cardiovasc Comput Tomogr. 2020 May - Jun; 14(3):246-250.
    View in: PubMed
    Score: 0.122
  49. Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis. Clin Res Cardiol. 2020 Jun; 109(6):735-745.
    View in: PubMed
    Score: 0.121
  50. Deep learning to convert unstructured CT pulmonary angiography reports into structured reports. Eur Radiol Exp. 2019 09 23; 3(1):37.
    View in: PubMed
    Score: 0.121
  51. Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT. Radiology. 2019 11; 293(2):260-271.
    View in: PubMed
    Score: 0.120
  52. Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registry. Eur J Radiol. 2019 Oct; 119:108657.
    View in: PubMed
    Score: 0.120
  53. Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease. Can J Cardiol. 2019 11; 35(11):1523-1533.
    View in: PubMed
    Score: 0.120
  54. CT FFR for Ischemia-Specific CAD With?a?New Computational Fluid Dynamics Algorithm: A Chinese Multicenter Study. JACC Cardiovasc Imaging. 2020 04; 13(4):980-990.
    View in: PubMed
    Score: 0.120
  55. Assessing the value of coronary artery computed tomography as the first-line anatomical test for stable patients with indications for invasive angiography due to suspected coronary artery disease. Initial cost analysis in the CAT-CAD randomized trial. J Cardiovasc Comput Tomogr. 2020 Jan - Feb; 14(1):75-79.
    View in: PubMed
    Score: 0.119
  56. Diagnosis of obstructive coronary artery disease using computed tomography angiography in patients with stable chest pain depending on clinical probability and in clinically important subgroups: meta-analysis of individual patient data. BMJ. 2019 06 12; 365:l1945.
    View in: PubMed
    Score: 0.118
  57. Effect of Tube Voltage on Diagnostic Performance of Fractional Flow Reserve Derived From Coronary CT Angiography With Machine Learning: Results From the MACHINE Registry. AJR Am J Roentgenol. 2019 08; 213(2):325-331.
    View in: PubMed
    Score: 0.117
  58. Automated plaque analysis for the prognostication of major adverse cardiac events. Eur J Radiol. 2019 Jul; 116:76-83.
    View in: PubMed
    Score: 0.117
  59. Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: A multi-center study and meta-analysis. Eur J Radiol. 2019 Jul; 116:90-97.
    View in: PubMed
    Score: 0.117
  60. Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging. JACC Cardiovasc Imaging. 2019 08; 12(8 Pt 1):1591-1593.
    View in: PubMed
    Score: 0.116
  61. Modified calcium subtraction in dual-energy CT angiography of the lower extremity runoff: impact on diagnostic accuracy for stenosis detection. Eur Radiol. 2019 Sep; 29(9):4783-4793.
    View in: PubMed
    Score: 0.116
  62. Coronary CT angiography radiation dose trends: A 10-year analysis to develop institutional diagnostic reference levels. Eur J Radiol. 2019 Apr; 113:140-147.
    View in: PubMed
    Score: 0.116
  63. Progression of coronary atherosclerotic plaque burden and relationship with adverse cardiovascular event in asymptomatic diabetic patients. BMC Cardiovasc Disord. 2019 02 11; 19(1):39.
    View in: PubMed
    Score: 0.116
  64. Diagnostic Accuracy of Noncontrast Self-navigated Free-breathing MR Angiography versus CT Angiography: A Prospective Study in Pediatric Patients with Suspected Anomalous Coronary Arteries. Acad Radiol. 2019 10; 26(10):1309-1317.
    View in: PubMed
    Score: 0.115
  65. Association of Serum Lipid Profile With Coronary Computed Tomographic Angiography-derived Morphologic and Functional Quantitative Plaque Markers. J Thorac Imaging. 2019 Jan; 34(1):26-32.
    View in: PubMed
    Score: 0.115
  66. Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia. Eur Radiol. 2019 May; 29(5):2378-2387.
    View in: PubMed
    Score: 0.114
  67. Comparison of the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve in Patients With Versus Without Diabetes Mellitus (from the MACHINE Consortium). Am J Cardiol. 2019 02 15; 123(4):537-543.
    View in: PubMed
    Score: 0.114
  68. Computer-assisted detection of acute pulmonary embolism at CT pulmonary angiography in children and young adults: a diagnostic performance analysis. Acta Radiol. 2019 Aug; 60(8):1011-1019.
    View in: PubMed
    Score: 0.113
  69. Fractional flow reserve derived from CCTA may have a prognostic role in myocardial bridging. Eur Radiol. 2019 Jun; 29(6):3017-3026.
    View in: PubMed
    Score: 0.113
  70. Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques. J Cardiovasc Comput Tomogr. 2019 Nov - Dec; 13(6):331-335.
    View in: PubMed
    Score: 0.113
  71. Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements. Int J Cardiovasc Imaging. 2019 Mar; 35(3):539-547.
    View in: PubMed
    Score: 0.113
  72. The value of Coronary Artery computed Tomography as the first-line anatomical test for stable patients with indications for invasive angiography due to suspected Coronary Artery Disease: CAT-CAD randomized trial. J Cardiovasc Comput Tomogr. 2018 Nov - Dec; 12(6):472-479.
    View in: PubMed
    Score: 0.112
  73. Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging. Sci Rep. 2018 06 15; 8(1):9228.
    View in: PubMed
    Score: 0.110
  74. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium. Circ Cardiovasc Imaging. 2018 06; 11(6):e007217.
    View in: PubMed
    Score: 0.110
  75. Predictive value of coronary computed tomography angiography in asymptomatic individuals with diabetes mellitus: Systematic review and meta-analysis. J Cardiovasc Comput Tomogr. 2018 Jul - Aug; 12(4):320-328.
    View in: PubMed
    Score: 0.109
  76. Noninvasive Derivation of Fractional Flow Reserve From Coronary Computed Tomographic Angiography: A Review. J Thorac Imaging. 2018 Mar; 33(2):88-96.
    View in: PubMed
    Score: 0.108
  77. Contrast media injection protocol optimization for dual-energy coronary CT angiography: results from a circulation phantom. Eur Radiol. 2018 Aug; 28(8):3473-3481.
    View in: PubMed
    Score: 0.108
  78. Beam-hardening in 70-kV Coronary CT angiography: Artifact reduction using an advanced post-processing algorithm. Eur J Radiol. 2018 Apr; 101:111-117.
    View in: PubMed
    Score: 0.108
  79. Comparison of the effect of radiation exposure from dual-energy CT versus single-energy CT on double-strand breaks at CT pulmonary angiography. Eur J Radiol. 2018 Apr; 101:92-96.
    View in: PubMed
    Score: 0.108
  80. Heavily Calcified Coronary Arteries: Advanced Calcium Subtraction Improves Luminal Visualization and Diagnostic Confidence in Dual-Energy Coronary Computed Tomography Angiography. Invest Radiol. 2018 02; 53(2):103-109.
    View in: PubMed
    Score: 0.108
  81. Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol. Eur Radiol. 2018 May; 28(5):2134-2142.
    View in: PubMed
    Score: 0.106
  82. Virtual Monoenergetic Imaging and Iodine Perfusion Maps Improve Diagnostic Accuracy of Dual-Energy Computed Tomography Pulmonary Angiography With Suboptimal Contrast Attenuation. Invest Radiol. 2017 11; 52(11):659-665.
    View in: PubMed
    Score: 0.106
  83. Optimizing Contrast Media Injection Protocols in Computed Tomography Angiography at Different Tube Voltages: Evaluation in a Circulation Phantom. J Comput Assist Tomogr. 2017 Sep/Oct; 41(5):804-810.
    View in: PubMed
    Score: 0.105
  84. What is the optimal anatomic location for coronary artery pressure measurement at CT-derived FFR? J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):397-403.
    View in: PubMed
    Score: 0.104
  85. Iterative reconstruction improves detection of in-stent restenosis by high-pitch dual-source coronary CT angiography. Sci Rep. 2017 07 31; 7(1):6956.
    View in: PubMed
    Score: 0.104
  86. Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):354-359.
    View in: PubMed
    Score: 0.104
  87. Small Intracranial Aneurysms: Diagnostic Accuracy of CT Angiography. Radiology. 2017 Dec; 285(3):941-952.
    View in: PubMed
    Score: 0.103
  88. CT angiography to evaluate coronary artery disease and revascularization requirement before trans-catheter aortic valve replacement. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):338-346.
    View in: PubMed
    Score: 0.103
  89. Predictive value of perfusion defects on dual energy CTA in the absence of thromboembolic clots. J Cardiovasc Comput Tomogr. 2017 May - Jun; 11(3):183-187.
    View in: PubMed
    Score: 0.102
  90. Coronary artery calcium in breast cancer survivors after radiation therapy. Int J Cardiovasc Imaging. 2017 Sep; 33(9):1425-1431.
    View in: PubMed
    Score: 0.101
  91. CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
    View in: PubMed
    Score: 0.101
  92. Optimization of window settings for standard and advanced virtual monoenergetic imaging in abdominal dual-energy CT angiography. Abdom Radiol (NY). 2017 03; 42(3):772-780.
    View in: PubMed
    Score: 0.101
  93. Combined diagnostic performance of coronary computed tomography angiography and computed tomography derived fractional flow reserve for the evaluation of myocardial ischemia: A meta-analysis. Int J Cardiol. 2017 Jun 01; 236:100-106.
    View in: PubMed
    Score: 0.101
  94. Prognostic Value of Stress Dynamic Myocardial Perfusion CT in a Multicenter Population With Known or Suspected Coronary Artery Disease. AJR Am J Roentgenol. 2017 Apr; 208(4):761-769.
    View in: PubMed
    Score: 0.101
  95. Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr. 2017 Mar - Apr; 11(2):141-147.
    View in: PubMed
    Score: 0.101
  96. 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: 0.100
  97. Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value. J Cardiovasc Comput Tomogr. 2017 Jan - Feb; 11(1):16-24.
    View in: PubMed
    Score: 0.100
  98. Coronary Computed Tomography Angiography-Derived Plaque Quantification in Patients With Acute Coronary?Syndrome. Am J Cardiol. 2017 03 01; 119(5):712-718.
    View in: PubMed
    Score: 0.099
  99. CT angiography for planning transcatheter aortic valve replacement using automated tube voltage selection: Image quality and radiation exposure. Eur J Radiol. 2017 Jan; 86:276-283.
    View in: PubMed
    Score: 0.099
  100. Radiation Dose Levels of Retrospectively ECG-Gated Coronary CT Angiography Using 70-kVp Tube Voltage in Patients with High or Irregular Heart Rates. Acad Radiol. 2017 01; 24(1):30-37.
    View in: PubMed
    Score: 0.099
  101. Fractional flow reserve derived by coronary computed tomography angiography : A?sophisticated analysis method for detecting hemodynamically significant coronary stenosis. Herz. 2017 Sep; 42(6):604-606.
    View in: PubMed
    Score: 0.099
  102. Radiation Optimized Dual-source Dual-energy Computed Tomography Pulmonary Angiography: Intra-individual and Inter-individual Comparison. Acad Radiol. 2017 01; 24(1):13-21.
    View in: PubMed
    Score: 0.099
  103. Diagnostic accuracy of coronary CT angiography using 3rd-generation dual-source CT and automated tube voltage selection: Clinical application in a non-obese and obese patient population. Eur Radiol. 2017 Jun; 27(6):2298-2308.
    View in: PubMed
    Score: 0.098
  104. Letter by Baumann et al Regarding Article, "Fractional Flow Reserve and Coronary Computed Tomographic Angiography: A Review and Critical Analysis". Circ Res. 2016 09 02; 119(6):e106-7.
    View in: PubMed
    Score: 0.098
  105. Coronary Artery Disease - Reporting and?Data?System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC. JACC Cardiovasc Imaging. 2016 09; 9(9):1099-1113.
    View in: PubMed
    Score: 0.098
  106. Low contrast medium-volume third-generation dual-source computed tomography angiography for transcatheter aortic valve replacement planning. Eur Radiol. 2017 May; 27(5):1944-1953.
    View in: PubMed
    Score: 0.097
  107. CAD-RADS?: Coronary Artery Disease?-?Reporting and Data System: An?Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Am Coll Radiol. 2016 Dec; 13(12 Pt A):1458-1466.e9.
    View in: PubMed
    Score: 0.096
  108. CAD-RADS(TM) Coronary Artery Disease - Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr. 2016 Jul-Aug; 10(4):269-81.
    View in: PubMed
    Score: 0.096
  109. [Computed tomography in patients with chronic stable angina : Fractional flow reserve measurement]. Herz. 2017 Feb; 42(1):51-57.
    View in: PubMed
    Score: 0.096
  110. A noise-optimized virtual monochromatic reconstruction algorithm improves stent visualization and diagnostic accuracy for detection of in-stent re-stenosis in lower extremity run-off CT angiography. Eur Radiol. 2016 Dec; 26(12):4380-4389.
    View in: PubMed
    Score: 0.094
  111. Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT. Eur Radiol. 2016 Oct; 26(10):3608-16.
    View in: PubMed
    Score: 0.094
  112. Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality. Eur Radiol. 2016 Sep; 26(9):2937-46.
    View in: PubMed
    Score: 0.093
  113. Low-volume contrast medium protocol for comprehensive cardiac and aortoiliac CT assessment in the context of transcatheter aortic valve replacement. Acad Radiol. 2015 Sep; 22(9):1138-46.
    View in: PubMed
    Score: 0.090
  114. Diabetes, Atherosclerosis, and Stenosis by AI. Diabetes Care. 2023 02 01; 46(2):416-424.
    View in: PubMed
    Score: 0.038
  115. Serial Changes in Coronary Plaque Formation Using CT Angiography in Patients Undergoing PCSK9-Inhibitor Therapy With 1-year Follow-up. J Thorac Imaging. 2022 Sep 01; 37(5):285-291.
    View in: PubMed
    Score: 0.037
  116. Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard. AJR Am J Roentgenol. 2022 09; 219(3):407-419.
    View in: PubMed
    Score: 0.036
  117. Impact of machine-learning-based coronary computed tomography angiography-derived fractional flow reserve on decision-making in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement. Eur Radiol. 2022 Sep; 32(9):6008-6016.
    View in: PubMed
    Score: 0.036
  118. Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease. Eur Radiol. 2022 Aug; 32(8):5210-5221.
    View in: PubMed
    Score: 0.036
  119. [Morphological and functional diagnostics of coronary artery disease by computed tomography]. Herz. 2023 Feb; 48(1):39-47.
    View in: PubMed
    Score: 0.036
  120. AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve: A CREDENCE Trial Substudy. JACC Cardiovasc Imaging. 2023 02; 16(2):193-205.
    View in: PubMed
    Score: 0.036
  121. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography. Clin Imaging. 2022 Apr; 84:149-158.
    View in: PubMed
    Score: 0.036
  122. Additive value of epicardial adipose tissue quantification to coronary CT angiography-derived plaque characterization and CT fractional flow reserve for the prediction of lesion-specific ischemia. Eur Radiol. 2022 Jun; 32(6):4243-4252.
    View in: PubMed
    Score: 0.035
  123. Prognostic value of epicardial adipose tissue volume in combination with coronary plaque and flow assessment for the prediction of major adverse cardiac events. Eur J Radiol. 2022 Mar; 148:110157.
    View in: PubMed
    Score: 0.035
  124. Non-invasive fractional flow reserve (FFRCT) in the evaluation of acute chest pain - Concepts and first experiences. Eur J Radiol. 2021 May; 138:109633.
    View in: PubMed
    Score: 0.033
  125. Prognostic Value of Coronary Computed Tomography Angiography-derived Morphologic and Quantitative Plaque Markers Using Semiautomated Plaque Software. J Thorac Imaging. 2021 Mar 01; 36(2):108-115.
    View in: PubMed
    Score: 0.033
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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.