Noninvasive Coronary Angiography with 16–Detector Row CT: Effect of Heart Rate

Hoffmann, Martin; Shi, Heshui; Manzke, Robert; Schmid, Florian; Vries, L. de; Graß, Michael; Brambs, Hans‐Jürgen; Aschoff, Andrik J.

doi:10.1148/radiol.2341031408

Cited by 251 publications

(156 citation statements)

References 28 publications

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“…Image quality is primarily affected by coronary calcification [1,4,7], motion artifacts [1][2][3]8], body related factors, (i.e. body mass index (BMI), body surface area (BSA)) [9][10][11] or by contrast bolus dilution depending on cardiac output (CO) [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…body mass index (BMI), body surface area (BSA)) [9][10][11] or by contrast bolus dilution depending on cardiac output (CO) [12][13][14]. Coronary calcifications are known to influence image quality by their blooming and beam-hardening artifacts [1,4,7]. Motion artifacts could be reduced by technical advances in new scanner generations such as subsecond rotation time and 64 [1][2][3] or more slices [15,16], image quality is still affected by individual body-and hemodynamic-related parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determinants of vessel contrast in BMI-adapted low dose CT coronary angiography with prospective ECG-triggering

Herzog

Husmann

Valenta

et al. 2009

Int J Cardiovasc Imaging

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Methods: Seventy patients underwent low-dose CTCA using BMI-adapted tube parameters and a fixed contrast material bolus. Contrast to noise ratio (CNR) was calculated from contrast (between coronaries and perivascular tissue) and image noise (standard deviation of aortic attenuation). Cardiac output (CO) was calculated from gated 99m Tc-tetrofosmin-SPECT.Results: Mean radiation dose was 2.13 0.69mSv. Image noise was not affected by BMI (r=0.1, P=0.36), while CNR was inversely related to body surface area (BSA) (r= -0.5, P<0.001) and CO (r= -0.49, P<0.001). Conclusions:After successfully overcoming the impact of BMI on image noise by adapting tube parameters, CNR mainly depends on coronary vessel contrast. The latter reflects the dilution of the contrast material by blood volume and CO, which are both correlated to BSA. Therefore, BSA adapted contrast administration may help to compensate for this effect.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determinants of vessel contrast in BMI-adapted low dose CT coronary angiography with prospective ECG-triggering

Herzog

Husmann

Valenta

et al. 2009

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

show abstract

“…For example, patient-related factors, such as high heart rates [1,2,[4][5][6], arrhythmia [7], high body mass index (BMI) [2,8], and a high calcium load [1,2,6] are known to negatively affect image quality of coronary CT angiography. Furthermore, CT-related factors, such as artifacts deriving from misregistration with the electrocardiography (ECG) signal [9] or coronary motion beyond the temporal resolution of the scanner [1,2,5,6,10], may also contribute to decreased image quality.…”

Section: Introductionmentioning

confidence: 99%

Influence of cardiac hemodynamic parameters on coronary artery opacification with 64-slice computed tomography

et al. 2006

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Influence of cardiac hemodynamic parameters on coronary artery opacification with 64-slice computed tomographyAbstract The purpose of this study was to evaluate the influence of ejection fraction (EF), stroke volume (SV), heart rate, and cardiac output (CO) on coronary artery opacification with 64-slice computed tomography (CT). Sixty patients underwent, retrospectively, electrocardiography-gated 64-slice CT coronary angiography. Left ventricular EF, SV, and CO were calculated with semi-automated software. Attenuation values were measured and contrast-to-noise ratios (CNRs) were calculated in the proximal right coronary artery (RCA) and left main artery (LMA). Mean EF during scanning was 61.5±12.4%, SV was 63.2±15.6 ml, heart rate was 62.5±11.8 beats per minute (bpm), and CO was 3.88±1.06 l/min. There was no significant correlation between the EF and heart rate and the attenuation and CNR in either coronary artery. A significant negative correlation was found in both arteries between SV and attenuation (RCA r=−0.26, P<0.05; LMA r=−0.34, P<0.01) and between SV and CNR (RCA r=−0.26, P<0.05; LMA r=−0.26, P<0.05). Similarly, a significant negative correlation was found between the CO and attenuation (RCA r=−0.42, P<0.05; LMA r=−0.56, P<0.001) and between the CO and CNR (RCA r=−0.39, P<0.05; LMA r=−0.44, P<0.001). The actual hemodynamic status of the patient influences the coronary artery opacification with 64-slice CT, in that vessel opacification decreases as SV and CO increase.

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“…This advancement has made it possible to visualize the beating heart, which has greatly increases CCT's popularity for detecting and quantifying CAD. By far, CCT is the fastest-growing noninvasive diagnostic cardiac imaging modality in the United States [27]- [29]. Another technology -electron beam CT (EBCT) -does not require any moving parts to generate the individual slice.…”

Section: Cardiac Computerized Tomography (Ct)mentioning

confidence: 99%

On Sensor Technologies in CVD Diagnosis

Du¹

2015

IJMMM

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Abstract-Major applications of sensor technologies in cardiovascular disease (CVD) diagnoses include (1) detect heart pulse waveforms, (2) measure blood properties, (3) create heart or vessel images, and (4) establish wireless CVD detecting or monitoring network. Sensors such as piezoresistive and strain gauge sensors have been used to automatize or modernize TCPD; conductive, impedance, and optical sensors have been utilized to obtain ECG, ICG, and PPG waveforms, respectively, to assess the patient's cardiovascular status; piezoelectric sensors are used in ultrasound devices to generate a moving picture of the heart, show its size, shape, structure, and how well its valves are working; piezoelectric sensors, as well as electromagnetic and capacitive sensors can also be used to detect and record the sounds from the heart or blood flow in arteries and veins. Radiation sensors detect penetrated X-ray to create CCT images; inductive sensors (coils) can pick up 10-100MHz radio waves released from soft tissues after their H-atoms' magnetic resonance and create a cardiac MRI.

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Noninvasive Coronary Angiography with 16–Detector Row CT: Effect of Heart Rate

Abstract: Motion-free coronary angiograms can be obtained consistently with 16-detector row CT scanners and adaptive multicyclic reconstruction algorithms in patients with heart rates of less than 80 beats per minute.

Cited by 251 publications

References 28 publications

Determinants of vessel contrast in BMI-adapted low dose CT coronary angiography with prospective ECG-triggering

Determinants of vessel contrast in BMI-adapted low dose CT coronary angiography with prospective ECG-triggering

Influence of cardiac hemodynamic parameters on coronary artery opacification with 64-slice computed tomography

On Sensor Technologies in CVD Diagnosis

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