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Dual-Source CT with Improved Temporal Resolution in Assessment of Left Ventricular Function: A Pilot Study

Harald Brodoefel1, Ulrich Kramer1, Anja Reimann1, Christof Burgstahler2, Stephen Schroeder2, Andreas Kopp1 and Martin Heuschmid1

1 Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.
2 Department of Cardiology, Eberhard-Karls-University, Tübingen, Germany.


Figure 1
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Fig. 1A 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 2
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Fig. 1B 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 3
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Fig. 1C 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 4
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Fig. 1D 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 5
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Fig. 2A Graphs show time–volume curves. Data are shown for all 20 patients; overall trend is followed by lowest curves. Time–volume curves obtained using dual-source CT (A) and MRI (B).

 

Figure 6
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Fig. 2B Graphs show time–volume curves. Data are shown for all 20 patients; overall trend is followed by lowest curves. Time–volume curves obtained using dual-source CT (A) and MRI (B).

 

Figure 7
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Fig. 3A Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 8
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Fig. 3B Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 9
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Fig. 3C Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 10
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Fig. 3D Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 11
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Fig. 4A Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 12
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Fig. 4B Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 13
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Fig. 4C Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 14
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Fig. 4D Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

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