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Hypertension. 2007;49:249-256
Published online before print December 11, 2006, doi: 10.1161/01.HYP.0000253086.74365.52
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(Hypertension. 2007;49:249.)
© 2007 American Heart Association, Inc.


Brief Reviews

Examine Thy Heart With All Diligence

Evaluation of Cardiac Function Using Fast Computed Tomography

Elena Daghini; Erik L. Ritman; Lilach O. Lerman

From the Division of Nephrology and Hypertension (E.D., L.O.L.) and Cardiovascular Disease (L.O.L.), Department of Medicine, and the Department of Physiology and Biomedical Engineering (E.D., E.L.R.), Mayo Clinic College of Medicine, Rochester, Minn.

Correspondence to Lilach O. Lerman, Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, 200 First St SW, Rochester, MN 55905. E-mail lerman.lilach{at}mayo.edu


*    Introduction
up arrowTop
*Introduction
down arrowPrinciples of CT
down arrowFast CT
down arrowCardiac Applications of CT
down arrowLimitations
down arrowConclusions
down arrowReferences
 
Cardiovascular disease is a major cause of mortality in Western society but at its early phase may manifest as subtle alterations in coronary epicardial or microvascular function, including endothelial dysfunction, abnormal perfusion or permeability, and remodeling, which may precede clinical manifestation of vascular disease. These modifications might be associated with subclinical decline in diastolic and/or systolic function and left ventricular (LV) remodeling. Evaluation of myocardial perfusion and microvascular function to identify areas of persistent ischemia or hibernating myocardium, endothelial, or LV dysfunction is, therefore, important for clinical decision-making and fuels the search for noninvasive techniques assessing different stages of cardiac disease.

Several noninvasive or minimally invasive techniques currently used to explore cardiac function, such as echocardiography, scintigraphy, and single-photon emission computed tomography, show diagnostic reliability but low spatial resolution and poor anatomic details. Therefore, higher-resolution techniques, like positron emission tomography, MRI, and computed tomography (CT), have been steadily gaining popularity.1 MRI can assess cardiac function, mass, volume, and myocardial viability, with limited application in patients with metal fragments, and positron emission tomography provides reliable estimates of myocardial perfusion and metabolism, albeit at low spatial resolution. Furthermore, since its inception in the 1970s, CT quickly incorporated into clinical practice, and recent technical advances have placed it in the forefront for comprehensive evaluation of cardiac function at several levels, from the function of the heart as a pump, to the behavior of the microvessels that feed its walls (Figure 1). For example, CT overcomes some of the limitations of MRI, because it can study patients with defibrillators or pacemakers, has a shorter acquisition time, and is more available and affordable than positron emission tomography, thus allowing access to cardiac imaging to a greater number of patients.


Figure 1
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Figure 1. A, schematic of the different levels for cardiac functional evaluation, including global heart, myocardium, and coronary epicardial and intramyocardial vascular systems. B, corresponding images of swine heart and myocardium obtained in vivo with 64-slice MDCT and of coronary microcirculation obtained ex vivo with micro-CT (resolution: 20 µm).


*    Principles of CT
up arrowTop
up arrowIntroduction
*Principles of CT
down arrowFast CT
down arrowCardiac Applications of CT
down arrowLimitations
down arrowConclusions
down arrowReferences
 
The principle of CT involves the use of a thin fan beam of radiation passing through the body at different angles. After collimation of the beam to reduce scatter, the photons are recorded on a corresponding detector array, and the transmission data digitized into picture elements ("pixels"). A "filtered back projection" reconstruction algorithm, which takes into account the attenuation of the x-ray beam along its path, allows for reconstruction of the grayscale values of each pixel with reference to the value for water and air, to depict cross-sectional images.

The evolution of CT included consecutive steps with progressive improvement in spatial and temporal resolution. Conventional CT included the first through fourth generations of CT scanners. These progressed from involving both rotation and translation (first and second generations) to only rotation (third and fourth generations, also called dynamic CT) of the detectors and x-ray source, thereby decreasing scanning time and interscan delay. The parallel increase in the number of detectors and acquisition angle and the change from pencil to fan beam contributed to improved image quality and spatial resolution.

The new frontier of cardiac imaging, the Holy Grail of CT scanning, evolved rapidly over the 1980s and introduced some challenge because of the motion artifacts caused by cardiac contraction and respiratory motion. These limitations become particularly prominent at higher heart rates. Although scanning time of under half a second, coincident with the slow-filling phase of diastole, may provide adequate anatomic depiction of the heart, the rule of thumb for quantitative measurements of tissue opacity within a specific cardiac phase is the need for scanning time <100 ms per image2 (Figure 2). On the other hand, rapid scanning may degrade image quality, and the tradeoff between temporal and spatial resolution needs to be considered.


Figure 2
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Figure 2. Spatial (A) and temporal (B) resolution of different types of fast CT scanners. For MDCT, average values of different models are shown (Toshiba, General Electric, Philips, and Siemens). Acquisition time was calculated as 50% of the fastest rotation time available for that machine. The red line indicates 100 ms per image, the maximal acquisition time preferred for perfusion scanning. lp/cm indicates line pair per centimeter.

Indeed, the series of high-speed scanners introduced over the past 2 decades have shown varying degrees of temporal and spatial resolution (Figure 2) depending on the basic technology used to generate, move, and detect the x-ray beam.


*    Fast CT
up arrowTop
up arrowIntroduction
up arrowPrinciples of CT
*Fast CT
down arrowCardiac Applications of CT
down arrowLimitations
down arrowConclusions
down arrowReferences
 
In the late 1970s the first fast CT was proposed with specific indication for cardiac imaging.3 Since then, CT has undergone rapid technical changes; spatial resolution has especially increased, improving image quality. At present, the anatomy of coronary arteries (anomalies, visualization of bypass grafts, and detection of stenosis) and calcium scoring can be evaluated reasonably well, although plaque imaging and intracoronary stent visualization need further development. Furthermore, increased temporal resolution and improved spatial resolution paved the way to the dynamic evaluation of cardiac function.

DSR
The first 3D volume-scanning CT scanner with truly high temporal resolution was presented in 1980.4 The design of the dynamic spatial reconstructor (DSR) allowed rapid and repeated scanning of the heart (60 images per second) that reduced motion artifacts to depict dynamic changes in cardiac volume, capture the motion of the heart, and record contrast media distribution within the myocardium. This capability permitted, for the first time, accurate regional and global measurements and highlighted the important relationships between cardiac structure and function.2 However, the computing power that the DSR demanded was hard to meet at that time, and together with the relatively low signal:noise characteristics, resulted in discontinued use of this scanner.

Electron Beam CT
Electron beam CT (EBCT) was developed in 1984 and specifically designed for cardiac imaging. Because of the absence of any moving mechanical parts, its temporal resolution is 50 ms per set of 2 contiguous slices, with a repetition rate of 17 images per second. The technique has been successfully applied for quantification of coronary artery calcifications,5 noninvasive coronary angiography,6 ventricular anatomy, and global and regional function.7 Furthermore, it is among the few scanners capable of assessing myocardial perfusion (see below). However, the rapid scanning came at a cost of moderate image quality, further technical development was rather restricted, and the availability of EBCT scanners remained limited.

Helical CT
Helical CT scanning, developed in the 1990s, has been placed at the center stage of clinical CT. This technique is based on simultaneous and continuous x-ray source rotation and patient translation. Modulation of the tube current and increased number of photons provide a high-quality 3D data set, an important improvement compared with EBCT that can afford only 2 current power settings.

Multidetector Helical CT
From the initial single slice per detector, helical CT has evolved to include a multirow detector array and the current 64-detectors CT,8 progressively increasing both the number of simultaneously acquired images and temporal resolution (Figure 2); 128- and 256-slice multidetector CT (MDCT) will probably be released before too long. Reconstruction algorithms and software capability have also been progressively improved. Unfortunately, because of the relatively long rotation time, their temporal resolution (165 to 400 ms per image) is still insufficient to permit a truly comprehensive assessment of cardiac function with MDCT and may necessitate the use of ß-blockers to slow the heart rate.

Nonetheless, the remarkable ongoing evolution of fast CT scanners in terms of both speed and image quality continuously challenges investigators and clinicians to test their limits by designing and identifying novel applications for analysis of cardiac anatomy and function. Currently, these techniques are already able to assess functional parameters (Figure 1) related to the function of the cardiac pump (systolic and diastolic), wall (myocardial viability and motion), and tubing (vascular endothelial function, perfusion, and permeability).


*    Cardiac Applications of CT
up arrowTop
up arrowIntroduction
up arrowPrinciples of CT
up arrowFast CT
*Cardiac Applications of CT
down arrowLimitations
down arrowConclusions
down arrowReferences
 
Cardiac Dynamics
Systolic Function
Left Ventricle
Guthaner et al9 were the first to demonstrate in 1985 the ability of EBCT for volume measurements. A year later the measurement of LV ejection fraction was validated by other research groups10,11 in animals and humans. Its accuracy for determination of ejection fraction was also validated against Tc-99m sestamibi first-pass angiography,12 radionuclide angiography, and cine angiography.13 Moreover, EBCT estimation of LV volumes (Figure 3) and mass agreed with 2D echocardiography. Indeed, Rumberger et al14 established EBCT as a recognized technique for evaluation of the heart because of its rapid image acquisition and reproducibility in patients with cardiac disease.15


Figure 3
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Figure 3. Methodology for assessment of cardiac volume and dynamics with computed tomography. Middle, 3D CT image of a pig heart. Bottom, 8 consecutive end-diastolic images obtained from different cardiac levels from apex (level 1) to base (level 8), which can be used to calculate chamber volumes and muscle mass. Top, dynamic changes in the shape of a representative cardiac level (midleft ventricle) during sequential scanning throughout the cardiac cycle, which can be used to assess systolic and diastolic function. (Modified with permission from Reference 24.)

In parallel, partly because of the cost and limited number of EBCT scanners that restricted access to this modality, the CT technology continued to evolve. Because of higher spatial resolution, the new-generation helical CT scanners delineate myocardial chamber contours and provide higher quality images compared with EBCT (Figure 4). Moreover, the ability to acquire consecutive thin slices and subsequently reformat them in different planes allows calculation of ventricular volumes in short axis reoriented images. Outlining chamber contours can be facilitated by semiautomatic thresholding techniques that decrease bias but may also introduce some error (eg, because of inadvertent inclusion of hematoma or thrombi).16


Figure 4
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Figure 4. A, cross-sectional images of the heart at the midleft ventricular level, obtained in the same pig using EBCT (left) and 64-slice MDCT (right). B, corresponding indicator-dilution curves of the anterior cardiac wall. C, left, the change in intramyocardial fractional vascular volume and perfusion measured by EBCT as a function of myocardial perfusion obtained with radiolabeled microspheres. Right, correlation between EBCT-based intramyocardial perfusion (F) and Doppler-based coronary blood flow (CBF; Reproduced with permission from References 42 and 46, respectively). HU indicates Hounsfield units.

Moreover, the relatively lower temporal resolution of helical CT limits evaluation of the fast systolic phase, in particular at high heart rate (>65 bpm). It may miss the minimal LV systolic volume, which lasts for only 80 to 200 ms (of total systolic time of about 0.3 sec), potentially leading to overestimation of LV systolic volume and thereby underestimation of LV ejection fraction. Indeed, estimation of LV ejection fraction with 4-slice or 16-slice MDCT showed good correlation, although there was some underestimation compared with other techniques, like MRI and echocardiography.17–19

Measurements of end-systolic LV volume by 64-slice MDCT were also characterized by good correlation but some overestimation. Despite application of different volumetric modeling, such as 3D data set, geometric hemisphere cylinder, or geometric biplane ellipsoid methods, MDCT continued to show overestimation of end-systolic volume and, thus, mild underestimation of ejection fraction.20,21

Right Ventricle
The morphology of the right ventricle (RV) is more complex than that of the LV. In echocardiography, the RV may be difficult to visualize because of its retrosternal localization, and the current reference standard for estimation of RV function is 3D cardiac MRI. Because tomographic images obtained with x-ray CT are similarly unrestricted by geometric assumptions (Figure 3), CT is also suitable for RV measurements.

Accordingly, the global and regional function of RV has proved to be reliably assessed using EBCT under normal22 and pathological15 conditions. With the advent of the new generation of helical CT, the 16-slice MDCT was found to provide accurate and reliable noninvasive measurement of RV function.23 However, as for LV function evaluation, MDCT shows overestimation associated with underestimation of ejection fraction.

Diastolic Function
The techniques for routine clinical investigation of diastolic function are currently cardiac catheterization or echocardiography. EBCT can detect time dependent changes in LV volume throughout the cardiac cycle by scanning 8-mm-thick slices at ≤8 different levels of the heart (Figure 3). This allows quantitative analysis of regional and global diastolic function by calculating different parameters, such as peak-filling and peak-emptying rates, in each level or in the entire heart. EBCT evaluation of diastolic filling showed good correlation with radionuclide angiography24,25 and was subsequently used for physiological assessment in humans.26 Studies are needed to explore the feasibility of evaluating diastolic function using MDCT, which has not been determined yet.

Myocardial Viability
Distinction among myocardial necrosis, hibernation, or stunning is fundamental for the prognosis and care of patients after myocardial infarction. MRI, contrast echocardiography, and single-photon emission CT are widely used for this purpose, but CT may also be a promising tool.

Evaluation of the status of the myocardial wall after infarction includes visualization of a hypoenhanced area in the early (3 to 6 sec after contrast injection) or late (7 to 10 minutes after injection) images and of a hyperenhanced area surrounding the dark area in late acquisitions. Both the single-slice and multislice CTs have been used to depict different patterns of reflow response and myocardial perfusion deficits. The CT techniques were compared with other methods, such as Tl201 single-photon emission CT,27 MRI,28 microsphere blood flow measurements,29 and postmortem myocardial staining28,29 in animal models and showed feasibility in humans as well.30

Wall Thickness and Motion
Fast CT also allows evaluation of the global and regional ventricular geometry in relation to myocardial function. For example, EBCT successfully assessed variations in wall thickness and motion in both animals31 and humans32 at different cardiac levels. Similarly, the DSR was capable of evaluating the thickening and rate of motion of the cardiac wall.31 The use of helical CT also provided noninvasive information of wall thickening33 and motion.34 Measurements of segmental wall motion by 16-slice MDCT showed good agreement with those obtained by echocardiography.35

Microvascular Function
Evaluation of cardiac microvascular function using CT traces back to the classic indicator-dilution theory developed by Stewart-Hamilton, and the subsequent refinement and application of the method, which takes into account recirculation and assumptions regarding contrast medium kinetics. Displacement of a contrast medium bolus can be followed by repeatedly scanning cross-axial images of the heart at the same cardiac phase (usually during the least-motion end diastole); functional parameters can then be estimated from indicator-dilution curves externally detected during the bolus first pass (Figure 4). Mathematical models allow the estimation of physiological parameters, such as myocardial perfusion and microvascular permeability.

The DSR was initially used to demonstrate the feasibility of assessing regional myocardial blood supply,36 and at around the same time, Axel37 developed the basis for calculation of cerebral perfusion with CT, which was subsequently applied to the myocardium and other organs. In 1987, Rumberger et al38 performed the first EBCT study on myocardial perfusion in a dog model and observed good agreement with simultaneously injected radiolabeled microspheres. Subsequent studies39,40 confirmed the feasibility of measurements of myocardial perfusion with EBCT over a wide range of perfusion rates41 and in humans,42 despite some underestimation of high flow rates compared with radiolabeled microspheres (Figure 4). Several approaches have been partially successful in overcoming this limitation, including correcting for the delay between the LV and myocardial peak opacification introduced by Gould et al39 or for dynamic changes in myocardial vascular volume that parallel myocardial blood flow.42

Subsequently, EBCT was successfully used for estimation of myocardial perfusion in various experimental models. EBCT detected the impaired increase in myocardial perfusion43–45 or blood volume46 (Figure 4) in response to cardiac challenge in pigs with early atherosclerosis and discerned responses of different size microvessels to pharmacological intervention.47 Administration of endothelium-dependent and - independent vasodilators has shown its ability to detect early functional abnormalities of the myocardial microcirculation and evaluate the effect of acute or chronic drug treatment in improving these alterations.43,48 Furthermore, mathematical models applied to DSR49 or EBCT43–45,48 indicator-dilution curves allow estimation of myocardial microvascular permeability, an important index of endothelial function and integrity.

Moreover, specific mathematical modeling of the relationship between blood volume and perfusion also allowed characterization of the function of various sizes of intramyocardial vessels.50,51 Because the spatial resolution of whole-body CT (as opposed to micro-CT) is insufficient to visualize these microvessels (Figure 1), their function can be inferred using mathematical models and administration of size-specific vasodilators, which selectively affect specific vascular districts.46,47

Although cardiac and myocardial microvascular function can be quite well characterized using the DSR and EBCT, the lower temporal resolution of MDCT is likely to diminish its capability for assessing flow but has yet to be fully determined. In a preliminary study, we compared myocardial indicator dilution curves obtained with EBCT and 64-slice MDCT in the same pig. As might be expected, we observed higher quality images with MDCT but noisier and less reproducible indicator-dilution curves (Figure 4). This could be related to the lower temporal resolution of MDCT compared with EBCT (165 versus 50 ms) but to other contributing factors as well, such as the location of the x-ray tube and angle of data acquisition, which are fixed with EBCT but may vary with MDCT at each cardiac cycle.

Nevertheless, the ongoing improvement in MDCT scanning and data acquisition protocols is promising. New faster devices with improved temporal resolution, like the dual-source CT,52 which may allow assessing myocardial microvascular function with MDCT without a need for heart rate control,53 may finally render MDCT an important diagnostic tool.


*    Limitations
up arrowTop
up arrowIntroduction
up arrowPrinciples of CT
up arrowFast CT
up arrowCardiac Applications of CT
*Limitations
down arrowConclusions
down arrowReferences
 
In addition to technical issues mentioned earlier, the use of CT in clinical practice is associated with some additional limitations. The use of contrast media is restricted in some patients, particularly in those with iodine hypersensitivity or pre-existing renal disease. Notably, the dose of contrast media used for a functional CT study is less than that used during coronary angiography. Future technological advances are promising for further reduction in the administrated dose, and development of alternative contrast agents (eg, particulate) may decrease their risk. Nevertheless, the need for contrast media remains a clinical concern.

The radiation dose may vary depending on the scanning protocol. For example, the typical radiation dose absorbed during EBCT calcium scoring (0.5 to 0.7 mSv) increases to 0.8 to 1.5 mSv using 4- to 16-slice MDCT with prospective gating and to 6.2 mSv with retrospective gating.1 The new MDCT can decrease the radiation dose by exposure-control measures, such as ECG-controlled dose modulation, and adapting the current of mA to the body habitus of the patient.54 On the other hand, perfusion studies currently involve repeated scanning of the same myocardial region and, thus, are still associated with substantial radiation exposure, so that the cost-benefit should be weighed. Moreover, the new dual-source MDCT allows us to adapt the duration of x-ray tube current usage to heart rate,55 a feature that significantly reduces the radiation dose compared with the 16- and 64-slice MDCT.56

Notably, the increasing girth of the patient population over the past decade requires boosting power (which, in turn, increases radiation exposure) and a wider bore to accommodate such patients (thereby limiting the speed of rotation and data acquisition), a trend that may pose a challenge for microvascular functional studies.


*    Conclusions
up arrowTop
up arrowIntroduction
up arrowPrinciples of CT
up arrowFast CT
up arrowCardiac Applications of CT
up arrowLimitations
*Conclusions
down arrowReferences
 
CT, thanks to its technical versatility, has marked potential for becoming central for the evaluation of cardiac and vascular function. However, since the early pioneering attempts to study the heart dynamically with DSR and, subsequently, EBCT, much of the development has focused on improving CT image quality rather than functional applications. This trend has paralleled the development of alternative useful modalities, such as positron emission tomography and single-photon emission CT, which are conceptually focused on functional and metabolic assessments.

For a decade, functional CT scanning of the beating heart has been available mainly using EBCT, which had been specifically designed for this purpose. However, its low availability and modest image quality have restricted cardiovascular use of CT to few centers. In recent years, however, significant development in CT technology and acquisition protocols succeeded in improving both speed and image quality, opening new horizons for clinically useful dynamic studies of the cardiovascular system. Additional developments in computing power for complex data handling and display, and rapidly decreasing costs of data archiving and compression, may make this strategy feasible.

Therefore, CT scanning may become a routine technique for the evaluation of patients with or at risk for cardiovascular disease. Indeed, CT embodies many characteristics that favor its use for the diagnosis, treatment, and follow-up of cardiovascular disease.


*    Acknowledgments
 
Sources of Funding

This work was partly supported by National Institutes of Health grants HL-77131 and HL-72255 and by the Universita’ di Pisa (Pisa, Italy).

Disclosures

None.

Received August 30, 2006; first decision September 21, 2006; accepted November 9, 2006.


*    References
up arrowTop
up arrowIntroduction
up arrowPrinciples of CT
up arrowFast CT
up arrowCardiac Applications of CT
up arrowLimitations
up arrowConclusions
*References
 
1. Budoff MJ, Cohen MC, Garcia MJ, Hodgson JM, Hundley WG, Lima JA, Manning WJ, Pohost GM, Raggi PM, Rodgers GP, Rumberger JA, Taylor AJ, Creager MA, Hirshfeld JW Jr, Lorell BH, Merli G, Rodgers GP, Tracy CM, Weitz HH. ACCF/AHA clinical competence statement on cardiac imaging with computed tomography and magnetic resonance: a report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training. J Am Coll Cardiol. 2005; 46: 383–402.[Free Full Text]

2. Robb RA, Sinak LJ, Hoffman EA, Kinsey JH, Harris LD, Ritman EL. Dynamic volume imaging of moving organs. J Med Syst. 1982; 6: 539–554.[CrossRef][Medline] [Order article via Infotrieve]

3. Boyd DP, Gould RG, Quinn JR, Stanley J, Hermansfeldt W. A proposed dynamic cardiac 3-D densitometer for early detection and evaluation of heart disease. IEEE Trans Nucl Sci. 1979; 26: 2724–2727.[CrossRef]

4. Ritman EL, Kinsey JH, Robb RA, Gilbert BK, Harris LD, Wood EH. Three-dimensional imaging of heart, lungs, and circulation. Science. 1980; 210: 273–280.[Abstract/Free Full Text]

5. Kondos GT, Hoff JA, Sevrukov A, Daviglus ML, Garside DB, Devries SS, Chomka EV, Liu K. Electron-beam tomography coronary artery calcium and cardiac events: a 37-month follow-up of 5635 initially asymptomatic low- to intermediate-risk adults. Circulation. 2003; 107: 2571–2576.[Abstract/Free Full Text]

6. Lu B, Shavelle DM, Mao S, Chen L, Child J, Carson S, Budoff MJ. Improved accuracy of noninvasive electron beam coronary angiography. Invest Radiol. 2004; 39: 73–79.[CrossRef][Medline] [Order article via Infotrieve]

7. Rumberger JA, Sheedy PF, Breen JF. Use of ultrafast (cine) X-ray computed tomography in cardiac and cardiovascular imaging. In: Giuliani ER, Gersh BJ, McGoon MD, Hayes DL, Schaff HF, eds. Mayo Clinic Practice of Cardiology. St Louis, MO: Mosby; 1996: 303–324.

8. Nikolaou K, Flohr T, Knez A, Rist C, Wintersperger B, Johnson T, Reiser MF, Becker CR. Advances in cardiac CT imaging: 64-slice scanner. Int J Cardiovasc Imaging. 2004; 20: 535–540.[CrossRef][Medline] [Order article via Infotrieve]

9. Guthaner DF, Nassi M, Bradley B, Gould EB, Mai CH, Schmidt KE. Quantitative evaluation of left ventricular function using computed tomography. Med Phys. 1985; 12: 333–338.[CrossRef][Medline] [Order article via Infotrieve]

10. Rich S, Chomka EV, Stagl R, Shanes JG, Kondos GT, Brundage BH. Determination of left ventricular ejection fraction using ultrafast computed tomography. Am Heart J. 1986; 112: 392–396.[CrossRef][Medline] [Order article via Infotrieve]

11. Reiter SJ, Rumberger JA, Feiring AJ, Stanford W, Marcus ML. Precision of measurements of right and left ventricular volume by cine computed tomography. Circulation. 1986; 74: 890–900.[Abstract/Free Full Text]

12. Gerber TC, Behrenbeck T, Allison T, Mullan BP, Rumberger JA, Gibbons RJ. Comparison of measurement of left ventricular ejection fraction by Tc-99m sestamibi first-pass angiography with electron beam computed tomography in patients with anterior wall acute myocardial infarction. Am J Cardiol. 1999; 83: 1022–1026.[CrossRef][Medline] [Order article via Infotrieve]

13. Baik HK, Budoff MJ, Lane KL, Bakhsheshi H, Brundage BH. Accurate measures of left ventricular ejection fraction using electron beam tomography: a comparison with radionuclide angiography, and cine angiography. Int J Card Imaging. 2000; 16: 391–398.[CrossRef][Medline] [Order article via Infotrieve]

14. Rumberger JA, Behrenbeck T, Bell MR, Breen JF, Johnston DL, Holmes DR Jr, Enriquez-Sarano M. Determination of ventricular ejection fraction: a comparison of available imaging methods. The Cardiovascular Imaging Working Group. Mayo Clin Proc. 1997; 72: 860–870.[Abstract]

15. Schmermund A, Rensing BJ, Sheedy PF, Rumberger JA. Reproducibility of right and left ventricular volume measurements by electron-beam CT in patients with congestive heart failure. Int J Card Imaging. 1998; 14: 201–209.[CrossRef][Medline] [Order article via Infotrieve]

16. Halliburton SS, Petersilka M, Schvartzman PR, Obuchowski N, White RD. Evaluation of left ventricular dysfunction using multiphasic reconstructions of coronary multi-slice computed tomography data in patients with chronic ischemic heart disease: validation against cine magnetic resonance imaging. Int J Cardiovasc Imaging. 2003; 19: 73–83.[CrossRef][Medline] [Order article via Infotrieve]

17. Juergens KU, Grude M, Maintz D, Fallenberg EM, Wichter T, Heindel W, Fischbach R. Multi-detector row CT of left ventricular function with dedicated analysis software versus MR imaging: initial experience. Radiology. 2004; 230: 403–410.[Abstract/Free Full Text]

18. Dirksen MS, Bax JJ, de Roos A, Jukema JW, van der Geest RJ, Geleijns K, Boersma E, van der Wall EE, Lamb HJ. Usefulness of dynamic multislice computed tomography of left ventricular function in unstable angina pectoris and comparison with echocardiography. Am J Cardiol. 2002; 90: 1157–1160.[CrossRef][Medline] [Order article via Infotrieve]

19. Heuschmid M, Rothfuss JK, Schroeder S, Fenchel M, Stauder N, Burgstahler C, Franow A, Kuzo RS, Kuettner A, Miller S, Claussen CD, Kopp AF. Assessment of left ventricular myocardial function using 16-slice multidetector-row computed tomography: comparison with magnetic resonance imaging and echocardiography. Eur Radiol. 2006; 16: 551–559.[CrossRef][Medline] [Order article via Infotrieve]

20. Hundt W, Siebert K, Wintersperger BJ, Becker CR, Knez A, Reiser MF, Rubin GD. Assessment of global left ventricular function: comparison of cardiac multidetector-row computed tomography with angiocardiography. J Comput Assist Tomogr. 2005; 29: 373–381.[CrossRef][Medline] [Order article via Infotrieve]

21. Raman SV, Shah M, McCarthy B, Garcia A, Ferketich AK. Multi-detector row cardiac computed tomography accurately quantifies right and left ventricular size and function compared with cardiac magnetic resonance. Am Heart J. 2006; 151: 736–744.[CrossRef][Medline] [Order article via Infotrieve]

22. Marzullo P, L’Abbate A, Marcus ML. Patterns of global and regional systolic and diastolic function in the normal right ventricle assessed by ultrafast computed tomography. J Am Coll Cardiol. 1991; 17: 1318–1325.[Abstract]

23. Lembcke A, Dohmen PM, Dewey M, Klessen C, Elgeti T, Hermann KG, Konertz WF, Hamm B, Kivelitz DE. Multislice computed tomography for preoperative evaluation of right ventricular volumes and function: comparison with magnetic resonance imaging. Ann Thorac Surg. 2005; 79: 1344–1351.[Abstract/Free Full Text]

24. Rumberger JA, Weiss RM, Feiring AJ, Stanford W, Hajduczok ZD, Rezai K, Marcus ML. Patterns of regional diastolic function in the normal human left ventricle: an ultrafast computed tomographic study. J Am Coll Cardiol. 1989; 14: 119–126.[Abstract]

25. Rumberger JA. Use of electron beam tomography to quantify cardiac diastolic function. Cardiol Clin. 2000; 18: 547–556.[CrossRef][Medline] [Order article via Infotrieve]

26. Wachspress JD, Clark NR, Untereker WJ, Kraushaar BT, Kurnik PB. Systolic and diastolic performance in normal human subjects as measured by ultrafast computed tomography. Cathet Cardiovasc Diagn. 1988; 15: 277–283.[Medline] [Order article via Infotrieve]

27. Eusemann CD, Ritman EL, Bellemann ME, Robb RA. Parametric display of myocardial function. Comput Med Imaging Graph. 2001; 25: 483–493.[CrossRef][Medline] [Order article via Infotrieve]

28. Buecker A, Katoh M, Krombach GA, Spuentrup E, Bruners P, Gunther RW, Niendorf T, Mahnken AH. A feasibility study of contrast enhancement of acute myocardial infarction in multislice computed tomography: comparison with magnetic resonance imaging and gross morphology in pigs. Invest Radiol. 2005; 40: 700–704.[CrossRef][Medline] [Order article via Infotrieve]

29. Lardo AC, Cordeiro MA, Silva C, Amado LC, George RT, Saliaris AP, Schuleri KH, Fernandes VR, Zviman M, Nazarian S, Halperin HR, Wu KC, Hare JM, Lima JA. Contrast-enhanced multidetector computed tomography viability imaging after myocardial infarction: characterization of myocyte death, microvascular obstruction, and chronic scar. Circulation. 2006; 113: 394–404.[Abstract/Free Full Text]

30. Mahnken AH, Koos R, Katoh M, Wildberger JE, Spuentrup E, Buecker A, Gunther RW, Kuhl HP. Assessment of myocardial viability in reperfused acute myocardial infarction using 16-slice computed tomography in comparison to magnetic resonance imaging. J Am Coll Cardiol. 2005; 45: 2042–2047.[Abstract/Free Full Text]

31. Eusemann CD, Ritman EL, Robb RA. Parametric visualization methods for the quantitative assessment of myocardial motion. Acad Radiol. 2003; 10: 66–76.[CrossRef][Medline] [Order article via Infotrieve]

32. Lessick J, Fisher Y, Beyar R, Sideman S, Marcus ML, Azhari H. Regional three-dimensional geometry of the normal human left ventricle using cine computed tomography. Ann Biomed Eng. 1996; 24: 583–594.[Medline] [Order article via Infotrieve]

33. Koyama Y, Matsuoka H, Higashino H, Mochizuki T, Kawakami H, Inoue K, Sogabe I, Nishimura K, Nakata S, Doi M, Imai M, Shinohara H, Ito T. Left ventricular hypertrophy demonstrated by four-dimensional myocardiography by helical computed tomography. Circulation. 2001; 103: E15–E17.[Medline] [Order article via Infotrieve]

34. Koyama Y, Matsuoka H, Higasino H, Kawakami H, Inoue K, Ito T, Doi M, Nakata S, Mochizuki T. Four-dimensional cardiac image by helical computed tomography. Circulation. 1999; 100: e61–e62.[Medline] [Order article via Infotrieve]

35. Lessick J, Mutlak D, Rispler S, Ghersin E, Dragu R, Litmanovich D, Engel A, Reisner SA, Agmon Y. Comparison of multidetector computed tomography versus echocardiography for assessing regional left ventricular function. Am J Cardiol. 2005; 96: 1011–1015.[CrossRef][Medline] [Order article via Infotrieve]

36. Scanlan JG, Gustafson DE, Chevalier PA, Robb RA, Ritman EL. Evaluation of ischemic heart disease with a prototype volume imaging computed tomographic (CT) scanner: preliminary experiments. Am J Cardiol. 1980; 46: 1263–1268.[CrossRef][Medline] [Order article via Infotrieve]

37. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. Radiology. 1980; 137: 679–686.[Abstract/Free Full Text]

38. Rumberger JA, Feiring AJ, Lipton MJ, Higgins CB, Ell SR, Marcus ML. Use of ultrafast computed tomography to quantitate regional myocardial perfusion: a preliminary report. J Am Coll Cardiol. 1987; 9: 59–69.[Abstract]

39. Gould RG, Lipton MJ, McNamara MT, Sievers RE, Koshold S, Higgins CB. Measurement of regional myocardial blood flow in dogs by ultrafast CT. Invest Radiol. 1988; 23: 348–353.[Medline] [Order article via Infotrieve]

40. Wolfkiel CJ, Ferguson JL, Chomka EV, Law WR, Labin IN, Tenzer ML, Booker M, Brundage BH. Measurement of myocardial blood flow by ultrafast computed tomography. Circulation. 1987; 76: 1262–1273.[Abstract/Free Full Text]

41. Weiss RM, Otoadese EA, Noel MP, DeJong SC, Heery SD. Quantitation of absolute regional myocardial perfusion using cine computed tomography. J Am Coll Cardiol. 1994; 23: 1186–1193.[Abstract]

42. Bell MR, Lerman LO, Rumberger JA. Validation of minimally invasive measurement of myocardial perfusion using electron beam computed tomography and application in human volunteers. Heart. 1999; 81: 628–635.[Abstract/Free Full Text]

43. Rodriguez-Porcel M, Herrman J, Chade AR, Krier JD, Breen JF, Lerman A, Lerman LO. Long-term antioxidant intervention improves myocardial microvascular function in experimental hypertension. Hypertension. 2004; 43: 493–498.[Abstract/Free Full Text]

44. Rodriguez-Porcel M, Lerman A, Best PJ, Krier JD, Napoli C, Lerman LO. Hypercholesterolemia impairs myocardial perfusion and permeability: role of oxidative stress and endogenous scavenging activity. J Am Coll Cardiol. 2001; 37: 608–615.[Abstract/Free Full Text]

45. Rodriguez-Porcel M, Lerman A, Herrmann J, Schwartz RS, Sawamura T, Condorelli M, Napoli C, Lerman LO. Hypertension exacerbates the effect of hypercholesterolemia on the myocardial microvasculature. Cardiovasc Res. 2003; 58: 213–221.[Abstract/Free Full Text]

46. Mohlenkamp S, Lerman LO, Lerman A, Behrenbeck TR, Katusic ZS, Sheedy PF 2nd, Ritman EL. Minimally invasive evaluation of coronary microvascular function by electron beam computed tomography. Circulation. 2000; 102: 2411–2416.[Abstract/Free Full Text]

47. Lerman LO, Siripornpitak S, Maffei NL, Sheedy PF 2nd, Ritman EL. Measurement of in vivo myocardial microcirculatory function with electron beam CT. J Comput Assist Tomogr. 1999; 23: 390–398.[CrossRef][Medline] [Order article via Infotrieve]

48. Schmermund A, Lerman LO, Rumberger JA, Lund PE, Pfeifer EA, Sheedy PF 2nd, Ritman EL. Effects of acute and chronic angiotensin receptor blockade on myocardial vascular blood volume and perfusion in a pig model of coronary microembolization. Am J Hypertens. 2000; 13: 827–837.[CrossRef][Medline] [Order article via Infotrieve]

49. Ritman EL. Myocardial capillary permeability to iohexol. Evaluation with fast x-ray computed tomography. Invest Radiol. 1994; 29: 612–617.[CrossRef][Medline] [Order article via Infotrieve]

50. Liu YH, Bahn RC, Ritman EL. Microvascular blood volume-to-flow relationships in porcine heart wall: whole body CT evaluation in vivo. Am J Physiol. 1995; 269: H1820–H1826.[Medline] [Order article via Infotrieve]

51. Wu XS, Ewert DL, Liu YH, Ritman EL. In vivo relation of intramyocardial blood volume to myocardial perfusion. Evidence supporting microvascular site for autoregulation. Circulation. 1992; 85: 730–737.[Abstract/Free Full Text]

52. Flohr TG, McCollough CH, Bruder H, Petersilka M, Gruber K, Subeta C, Grasruck M, Stierstorfer K, Krauss B, Raupach R, Primak AN, Kuttner A, Achenbach S, Becker C, Kopp A, Ohnesorge BM. First performance evaluation of a dual-source CT (DSCT) system. Eur Radiol. 2006; 16: 256–268.[CrossRef][Medline] [Order article via Infotrieve]

53. Scheffel H, Alkadhi H, Plass A, Vachenauer R, Desbiolles L, Gaemperli O, Schepis T, Frauenfelder T, Schertler T, Husmann L, Grunenfelder J, Genoni M, Kaufmann PA, Marincek B, Leschka S. Accuracy of dual-source CT coronary angiography: first experience in a high pre-test probability population without heart rate control. Eur Radiol. In press.

54. Morin RL, Gerber TC, McCollough CH. Radiation dose in computed tomography of the heart. Circulation. 2003; 107: 917–922.[Free Full Text]

55. Achenbach S, Ropers D, Kuettner A, Flohr T, Ohnesorge B, Bruder H, Theessen H, Karakaya M, Daniel WG, Bautz W, Kalender WA, Anders K. Contrast-enhanced coronary artery visualization by dual-source computed tomography-initial experience. Eur J Radiol. 2006; 57: 331–335.[CrossRef][Medline] [Order article via Infotrieve]

56. Johnson TR, Nikolaou K, Wintersperger BJ, Leber AW, von Ziegler F, Rist C, Buhmann S, Knez A, Reiser MF, Becker CR. Dual-source CT cardiac imaging: initial experience. Eur Radiol. 2006; 16: 1409–1415.[CrossRef][Medline] [Order article via Infotrieve]





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