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DOI:10.2214/AJR.05.0908
AJR 2006; 187:119-126
© American Roentgen Ray Society


Original Research

Coronary CT Angiography with 64-MDCT: Assessment of Vessel Visibility

Harpreet K. Pannu1, Jill E. Jacobs2, Shenghan Lai3 and Elliot K. Fishman1

1 The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, MD; and Department of Radiology, Johns Hopkins Outpatient Center, JHOC 3235, 601 N Caroline St., Baltimore, MD 21287.
2 Department of Radiology, New York University Medical Center, New York, NY.
3 Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD.

Received May 27, 2005; accepted after revision August 2, 2005.

 
Supported in part by the National Institutes of Health, grants DA1277 and DA15020.

Address correspondence to H. K. Pannu.


Abstract
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. The objective of our study was to evaluate the image quality of 64-MDCT for coronary angiography.

SUBJECTS AND METHODS. Fifty consecutive CT coronary angiograms obtained on a 64-MDCT scanner were independently reviewed by two reviewers. Segments were scored as showing no motion (score of 1), minimal motion (2), moderate motion (3), respiratory motion (4), or vessel blurring (5). Opacification was graded as good (score of 1) or limited (2). Segments < 2 mm were graded as well seen; or as poorly seen or not seen. The scores for motion artifact, opacification, and visibility were combined for overall vessel assessment. Segments with a motion score of 1 or 2 that had good opacification and were well seen were judged to be assessable.

RESULTS. A total of 714 segments were analyzed in 50 patients. Seven hundred segments were assessed in all patients (segments 1-3, 11-20, 4, or 27), and a ramus intermedius segment was evaluated in 14 patients. Combining the scores for both reviewers, the average motion score was 1 for 619 segments (86.7%), the average motion score for all segments in an individual patient was 1.14 (range, 1-3.35), and the average opacification score for all segments in a patient was 1.02 (range, 1-1.38). A total of 374 segments were less than 2 mm in diameter. Combining the scores for both reviewers, an average of 36 segments (5.0% of 714) could not be identified by the reviewers, 319.5 segments (85.4%) were well seen, and 18.5 segments (4.9%) were poorly seen. Overall, an average of 637 segments (89.2%) were judged assessable by the reviewers. On a perpatient basis, 10 or more vessel segments were judged assessable in 47 patients (94%).

CONCLUSION. On 64-MDCT, 89% of coronary artery segments are assessable. Ten or more vessel segments are assessable in 94% of patients.

Keywords: angiography • cardiac imaging • coronary arteries • CT • MDCT


Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Recently, 64-MDCT scanners, with higher spatial and temporal resolution, have become available. These technical improvements have the potential to improve visualization of the coronary arteries. Image quality is dependent on the amount of vessel blurring resulting from motion artifact that occurs as the vessels are displaced during systole and diastole. To minimize the effect of cardiac motion on the study, the ECG trace is simultaneously recorded as the scan is acquired and the images are retrospectively reconstructed during diastole. As the temporal resolution of the scanner improves, reconstruction can be completed in a shorter amount of time, thereby minimizing the effect of cardiac motion that can blur the edges of the vessel or the entire artery.

The ability to diagnose noncalcified plaque and stenosis depends on adequate visualization of the coronary arteries without motion artifact. Previously, when evaluating the sensitivity and specificity of CT for the detection of coronary artery disease, segments have been excluded because of suboptimal visualization. For vessels > 2 mm in diameter, 68-90% were judged assessable using a 4-MDCT scanner and approximately 70% were assessable with a 16-MDCT scanner [1]. The purpose of this study was to determine the diagnostic quality of images of coronary artery segments obtained on a 64-MDCT scanner.


Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Patient Population
CT coronary angiograms obtained on a 64-MDCT scanner (Sensation 64, Siemens Medical Solutions) between November 2004 and January 2005 in 55 consecutive patients without a history of cardiac or mediastinal intervention were included in the study. All 10 reconstruction increments in the cardiac cycle from 0-90% were available for review in 50 of the patients and were analyzed for the study. All reconstructions were not available for the remaining five patients, so they were excluded. Patients were referred for CT coronary angiography to evaluate for coronary artery disease as part of a National Institutes of Health (NIH)-funded research study (n = 39) or were referred because of clinical findings (n = 11). Studies performed for clinical indications were for evaluation of a coronary artery anomaly (n = 1), coronary artery disease (n = 7), and an aortic root abnormality (n = 3). Review of the studies was approved by the institutional review board.


Figure 1
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Fig. 1 Coronary arteries with no motion artifact, score of 1. Oblique maximum-intensity-projection image from above heart shows left main, left anterior descending, and circumflex coronary arteries without motion artifact.

 


Figure 2
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Fig. 2 Coronary arteries with minimal motion artifact, score of 2. Oblique maximum-intensity-projection image from above heart shows stairstep artifact (arrow) in circumflex coronary artery.

 


Figure 3
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Fig. 3A Coronary arteries with moderate motion artifact, score of 3. Oblique maximum-intensity-projection image of first diagonal branch shows two areas of stairstep artifact (arrowheads).

 


Figure 4
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Fig. 3B Coronary arteries with moderate motion artifact, score of 3. Oblique maximum-intensity-projection image of first obtuse marginal branch shows two areas of stairstep artifact (arrowheads) and minimal blurring of vessel edge (arrow).

 


Figure 5
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Fig. 4A Coronary arteries with blurring of vessel due to motion artifact, score of 5. Axial maximum-intensity-projection image of right coronary artery (RCA) shows significant displacement (arrowheads) of artery due to cardiac motion.

 


Figure 6
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Fig. 4B Coronary arteries with blurring of vessel due to motion artifact, score of 5. Coronal maximum-intensity-projection image of RCA shows blurring of vessel (arrows) due to motion artifact.

 
Thirty-seven patients were male, and 13 patients were female, with a mean age of 46.8 years (range, 16-77 years). Patients with heart rates of more than 65 beats per minute (bpm) were given oral and, if needed, IV ß-blockers for the study. The oral dose was 50 mg of metoprolol, and the IV dose was up to 15 mg of metoprolol. The mean heart rate for the patient group was 57.8 ± 9.4 (SD) bpm (range, 39-84 bpm).

Scanning Protocol
The scans were obtained with retrospective ECG gating, 120 kVp, 850 effective mAs, 0.6-mm detector collimation, 0.33- to 0.37-sec gantry rotation time, and 0.75-mm-thick slices reconstructed at 0.4-mm intervals. The scan delay was determined by injecting a test bolus of 20 mL of contrast material, measuring the time to peak attenuation in the ascending aorta, and adding 6 sec to that delay. Then, 80 mL of nonionic isosmolar contrast material (Visipaque 320 [iodixanol], GE Healthcare) was injected at 4 mL/sec followed by a 40-mL flush of saline. Ten sets of images were reconstructed through the cardiac cycle from 0% to 90% of the R-R interval.

Image Interpretation
The images were independently evaluated by two reviewers on a workstation to assess for quality. The reviewers were blinded to the indications for the study. A combination of axial, multiplanar reconstruction, maximum-intensity-projection, and volume-rendered images was used to assess the vessels. The image set reconstructed with a relative delay of 70% was initially viewed by both reviewers. If artifacts were noted in vessel segments, additional reconstructions were analyzed. The score for a vessel segment was based on the reconstruction that displayed the vessel with the least artifact.

Vessel segments were assessed for motion artifact, quality of opacification, and visibility for segments less than 2 mm in diameter. For the assessment of motion artifact, to facilitate comparison with 16-MDCT, vessel segments were scored using the scale provided by Kuettner et al. [1]. A score of 1 indicated no motion artifact (Fig. 1), a score of 2 indicated minimal motion artifact (one stairstep artifact) (Fig. 2), a score of 3 indicated moderate motion artifact (> 1 stairstep artifact or minimal blurring of vessel edge but the vessel was assessable) (Figs. 3A and 3B), and a score of 5 indicated the vessel was blurred and could not be assessed (Figs. 4A and 4B). Respiratory motion artifact was given a score of 4. Opacification of the vessels was graded as good (score of 1) or limited (score of 2) (Figs. 5A and 5B). Vessel segments less than 2 mm were graded as well seen; or as poorly seen (Figs. 6A and 6B) or not seen.


Figure 7
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Fig. 5A Examples of good and poor opacification of coronary arteries. Oblique maximum-intensity-projection image of circumflex coronary artery shows good opacification.

 

Figure 8
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Fig. 5B Examples of good and poor opacification of coronary arteries. Oblique maximum-intensity-projection image of circumflex coronary artery shows poor opacification.

 

Figure 9
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Fig. 6A Visualization of vessels smaller than 2 mm. Axial maximum-intensity-projection image of distal right coronary artery shows posterior descending artery (arrow) is well visualized.

 

Figure 10
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Fig. 6B Visualization of vessels smaller than 2 mm. Oblique maximum-intensity-projection image from above heart shows poor visualization of small first diagonal branch (arrow).

 
An overall evaluation was performed to determine the number of assessable vessel segments. Vessel segments that were well seen with a motion score of 1 or 2 and good opacification were judged to be assessable.

Vessel segments were classified using the BARI (Bypass Angioplasty Revascularization Investigation) classification system [2] (Fig. 7). A total of 14 segments were analyzed per patient, with the ramus intermedius being an additional segment, if present. Note was made of vessel segments that were not seen.


Figure 11
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Fig. 7 Illustration shows coronary artery segments. Segments 1, 2, 3 = right coronary artery; segment 4 = right posterior descending artery; segment 11 = left main artery; segments 12, 13, 14, 15, 16 = left anterior descending artery and diagonal branches; segment 28 = ramus intermedius; segments 18, 19, 19a = circumflex artery; segment 20 = first obtuse marginal branch; segment 21 = second obtuse marginal branch; segment 29 = third diagonal branch.

 

The reviewers also noted which reconstructions of the percentage of the R-R cycle were reviewed for analyzing each vessel. The optimal reconstruction for each vessel was also recorded.


Results
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
A total of 714 segments were analyzed in the 50 patients. Seven hundred segments were assessed in all patients (segments 1-3, 11-20, 4, or 27), and 14 patients had a ramus intermedius segment. Thirty-two segments (4.5%) could not be identified by reviewer 1, and 40 segments (5.6%) could not be identified by reviewer 2.

Motion and Opacification Data
The distributions of motion and opacification scores for each reviewer are shown in Table 1. The scores for each vessel segment for both reviewers are presented in Table 2. For reviewer 1, the average motion score for all segments in an individual patient was 1.15 ± 0.43 (SD) (range, 1-3.35). For reviewer 2, the average motion score for all segments in a patient was 1.14 ± 0.39 (range, 1-2.78). For reviewer 1, the average opacification score for all segments in a patient was 1.01 ± 0.03 (range, 1-1.15). For reviewer 2, the average opacification score for all segments in a patient was 1.04 ± 0.07 (range, 1-1.38).


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TABLE 1: Distribution of Motion and Opacification Scores of 714 Total Segments for Both Reviewers

 

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TABLE 2: Results of Motion Artifact and Opacification Analysis per Segment

 

Visibility of Small Vessel Segments
A total of 374 segments were less than 2 mm in diameter. Reviewer 1 graded 334 segments (89.3%) as well seen and eight segments (2.1%) as poorly seen and this receiver could not identify 32 segments (8.5%) (Table 3). Three hundred five segments (81.5%) were well seen, 29 segments (7.7%) were poorly seen, and 40 segments (10.7%) could not be identified by reviewer 2.


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TABLE 3: Results of Visualization of 374 Vessels Smaller Than 2 mm

 

Overall Assessment of Vessel Visualization
Overall assessment of the vessel segments is shown in Table 4. Segments with a motion score of 1 or 2 that had good opacification and were well seen were judged to be assessable. Six hundred fifty segments (91%) were judged assessable by reviewer 1 and 624 segments (87.3%) by reviewer 2. On a per-patient basis, all 14 segments were judged assessable in 24 patients (48%) by reviewer 1 and in 15 patients (30%) by reviewer 2 (Fig. 8). Thirteen segments were assessable in 15 patients according to reviewer 1 and in 14 patients for reviewer 2. In these patients, the single unassessable segment was the posterior descending artery; distal right coronary artery (RCA); or second diagonal, distal circumflex, or first diagonal branch. The second diagonal segment was unassessable in 11 patients for reviewer 1 and in five patients for reviewer 2. Thirteen or more vessel segments were assessable in 39 patients (78%) for reviewer 1 and in 29 patients (58%) for reviewer 2. Ten or more vessel segments were judged assessable in 48 patients (96%) by reviewer 1 and in 46 patients (92%) by reviewer 2. The proximal segments were assessable in 46 patients.


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TABLE 4: Motion Score Distribution for Vessel Segments with Good Opacification That Were Well Seen

 

Figure 12
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Fig. 8 Bar graph shows number of assessable segments per patient for reviewer 1 (black bars) and reviewer 2 (white bars).

 

In one patient, the proximal circumflex segment was < 2 mm and was not well opacified, but the remaining proximal segments were assessable. In three patients, all proximal segments were not assessable because of motion artifact; the heart rate in those patients was 73 or 74 bpm. Of the 50 patients, there were six with a mean heart rate of > 70 bpm and the proximal segments were assessable in the other three patients.

Data on Percentages of the R-R Interval Assessed By Both Reviewers
The 70% reconstruction was judged best for assessing the coronary arteries for most patients by both reviewers. The data are as follows: 70% was the best for assessment of the left main coronary artery in 45 patients for both reviewers, 70% was best for the left anterior descending (LAD) artery in 43 patients for reviewer 1 and 39 patients for reviewer 2, 70% was best for the circumflex artery in 43 patients for reviewer 1 and 44 patients for reviewer 2, and 70% was best for the RCA in 39 patients for reviewer 1 and 35 patients for reviewer 2.

The 70% reconstruction alone was sufficient for assessing the vessels in most patients for both reviewers. The data are as follows: the 70% reconstruction alone was used for assessing the left main artery in 40 patients, the LAD artery in 39 patients, the circumflex artery in 39 patients, and the RCA in 34 patients by reviewer 1. The 70% reconstruction alone was used for assessing the left main artery in 44 patients, the LAD artery in 36 patients, the circumflex artery in 43 patients, and the RCA in 30 patients by reviewer 2.

Comparison with 16-MDCT Article
Table 5 compares the findings of our results with a 16-MDCT study for motion artifacts using a similar image quality grading scale [1]. The number of segments with no, minor, or moderate motion artifacts and the number that appeared blurred are shown. The blurred (motion score of 5) and poorly seen segments are combined for comparison. In the study by Kuettner et al. [1], 6.7% of the segments were limited by heavy calcium, and these segments are not included in Table 5.


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TABLE 5: Comparison of 64-MDCT Results with 16-MDCT Article Using a Similar Image Quality Grading Scale [1]

 


Discussion
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Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
We reviewed 50 consecutive studies obtained on a 64-MDCT scanner to evaluate the effect of thinner slices and faster gantry rotation times on the visualization of the coronary arteries. A scoring scale similar to that in a recent article about coronary 16-MDCT was used to facilitate comparison [1]. When compared with the results of Kuettner et al. [1], our results showed a shift of the number of vessel segments from the minor and moderate artifact categories to the category with no motion artifacts. We found that a much higher percentage of vessel segments had excellent image quality in our study than in the study by Kuettner et al. (84% vs 35%, respectively). This improvement is likely because of a combination of slightly improved temporal and spatial resolution and lower heart rate. The temporal resolution in the study by Kuettner et al. was 188 msec compared with 165-185 msec for our study. The average heart rate in our patient group was also slightly lower—57.8 bpm compared with 64.1 bpm for their study. The opacification of the visualized segments was also good, with the average opacification score for both reviewers being close to 1. Vessel segments that were less than 2 mm in diameter were well seen in approximately 80% of cases. We did not include calcified plaque as a limiting factor because it is a patient-dependent variable and the purpose of the study was to assess the technical capability of the scanner.

In other articles about the image quality of coronary 16-MDCT, Nieman et al. [3] reported 69% of vessels were well seen; 23%, adequately seen; and 7%, poorly seen. Vessels 2 mm or larger were evaluated, and the average heart rate of the patients was 56 bpm. Our study included small vessels and showed improved visibility for vessel segments. The results of our study are compared with articles in the literature in Table 6. The number of segments with no or minimal motion artifact is given as assessable, and segments limited by heavy calcification are excluded from the data in Table 6 if this information is available from the literature.


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TABLE 6: Comparison of 64-MDCT Results with Published Results for 16- and 4-MDCTa

 

Previously, segments with moderate artifacts but in which the lumen could be evaluated were included as assessable; however, in our study we included only segments with no or minimal artifacts as assessable to determine the highest quality achievable with MDCT. Using this criterion, a high percentage of 85-90% of vessel segments were assessable with 64-MDCT, which is greater than the percentages of assessable vessel segments reported for studies of 16-MDCT in which similar information is available. The articles by Maruyama et al. [6] on 10 patients and by Hoffmann et al. [7] reported a high percentage of vessel segments as being assessable. However, the number of segments with no, minimal, or moderate artifacts is not specified in those studies. Our study also included segments smaller than 2 mm in diameter, which were excluded in most prior studies.

Vessel visibility with the 64-MDCT scanner is also higher than with the 4-MDCT scanner (Table 6). On axial analysis of 940 segments using 4-MDCT, Schroeder et al. [12] found that 25.9% segments were incompletely visualized. Approximately 5% of the segments in our series were not visualized. These segments may have been anatomically absent or may have been too small to visualize because of the spatial resolution of the scanner. Anatomic variation is recognized on angiography with vessels being classified as large, medium, small, or absent [2].

On a per-patient basis, all segments were assessable in 30-48% of the patients in our study. This result is similar to those reported in the literature; however, whether similar criteria were used in other studies for judging vessel segments as assessable is not known. Achenbach et al. [11] reported that in 19 (30%) of 64 patients, all arteries were assessable with 4-MDCT [11]. Similarly, Giesler et al. [13] reported all segments were assessable with 4-MDCT in 39% of patients. Ropers et al. [14] found that in 57 (74%) of 77 patients all arteries were assessable with 16-MDCT. We excluded segments with moderate artifacts from the group of segments considered to be assessable, and this may account for the similarity in our results with those obtained by researchers using 4-MDCT and 16-MDCT. Small segments, such as the second diagonal branch, distal RCA, and distal circumflex artery, accounted for most of the cases in which single segments were unassessable in patients. In more than 90% of the patients in our study, 10 or more vessel segments were assessable.

Seventy percent of the R-R interval was found to be the best reconstruction increment for assessing vessels in most patients. This finding is similar to that of a prior report in which 60% of the R-R interval was found to be the best reconstruction window for patients with a heart rate of less than 70 bpm [15].

In conclusion, on 64-MDCT, a high percentage (86-90%) of coronary artery segments are assessable with no or minimal motion artifact. These results are higher than those reported for 16- and 4-MDCT. We found that 10 or more vessel segments are assessable on 64-MDCT in 92-96% of patients.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

  1. Kuettner A, Beck T, Drosch T, et al. Diagnostic accuracy of noninvasive coronary imaging using 16-detector slice spiral computed tomography with 188 ms temporal resolution. J Am Coll Cardiol 2005; 45:123 -127[Abstract/Free Full Text]
  2. Scanlon PJ, Faxon DP, Audet AM, et al. ACC/AHA guidelines for coronary angiography: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (Committee on Coronary Angiography)—developed in collaboration with the Society for Cardiac Angiography and Interventions. J Am Coll Cardiol1999; 33:1756 -1824[Free Full Text]
  3. Nieman K, Cademartiri F, Lemos PA, Raaijmakers R, Pattynama PM, de Feyter PJ. Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography. Circulation2002; 106:2051 -2054[Abstract/Free Full Text]
  4. Hoffmann MH, Shi H, Manzke R, et al. Noninvasive coronary angiography with 16-detector row CT: effect of heart rate. Radiology 2005;234 : 86-97[Abstract/Free Full Text]
  5. Kuettner A, Trabold T, Schroeder S, et al. Noninvasive detection of coronary lesions using 16-detector multislice spiral computed tomography technology: initial clinical results. J Am Coll Cardiol 2004; 44:1230 -1237[Abstract/Free Full Text]
  6. Maruyama T, Yoshizumi T, Tamura R, et al. Comparison of eight-versus 16-slice multidetector-row computed tomography for visibility and image quality of coronary segments. Am J Cardiol2004; 94:1539 -1543[Medline]
  7. Hoffmann U, Moselewski F, Cury RC, et al. Predictive value of 16-slice multidetector spiral computed tomography to detect significant obstructive coronary artery disease in patients at high risk for coronary artery disease: patient-versus segment-based analysis. Circulation 2004;110 : 2638-2643[Abstract/Free Full Text]
  8. Kuettner A, Kopp AF, Schroeder S, et al. Diagnostic accuracy of multidetector computed tomography coronary angiography in patients with angiographically proven coronary artery disease. J Am Coll Cardiol 2004; 43:831 -839[Abstract/Free Full Text]
  9. Nieman K, Rensing BJ, van Geuns RJ, et al. Usefulness of multislice computed tomography for detecting obstructive coronary artery disease. Am J Cardiol 2002;89 : 913-918[CrossRef][Medline]
  10. Nieman K, Rensing BJ, van Geuns RJ, et al. Noninvasive coronary angiography with multislice spiral computed tomography: impact of heart rate. Heart 2002; 88:470 -474[Abstract/Free Full Text]
  11. Achenbach S, Giesler T, Ropers D, et al. Detection of coronary artery stenoses by contrast-enhanced, retrospectively electrocardiographically-gated, multislice spiral computed tomography. Circulation 2001;103 : 2535-2538[Abstract/Free Full Text]
  12. Schroeder S, Kopp AF, Kuettner A, et al. Influence of heart rate on vessel visibility in noninvasive coronary angiogravphy using new multislice computed tomography: experience in 94 patients. Clin Imaging 2002; 26:106 -111[CrossRef][Medline]
  13. Giesler T, Baum U, Ropers D, et al. Noninvasive visualization of coronary arteries using contrast-enhanced multidetector CT: influence of heart rate on image quality and stenosis detection. AJR2002; 179:911 -916[Abstract/Free Full Text]
  14. Ropers D, Baum U, Pohle K, et al. Detection of coronary artery stenoses with thin-slice multidetector row spiral computed tomography and multiplanar reconstruction. Circulation2003; 107:664 -666[Abstract/Free Full Text]
  15. Bley TA, Ghanem NA, Foell D, et al. Computed tomography coronary angiography with 370-millisecond gantry rotation time: evaluation of the best image reconstruction interval. J Comput Assist Tomogr2005; 29:1 -5[CrossRef][Medline]

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