Article Text
Abstract
Objective: To evaluate the impact of heart rate on the diagnostic accuracy of coronary angiography by multislice spiral computed tomography (MSCT).
Design: Prospective observational study.
Patients: 78 patients who underwent both conventional and MSCT coronary angiography for suspicion of de novo coronary artery disease (n=53) or recurrent coronary artery disease after percutaneous intervention (n=25).
Setting: Tertiary referral centre.
Methods: Intravenously contrast enhanced MSCT coronary angiography was done during a single breath hold, and ECG synchronised images were reconstructed retrospectively. All coronary segments of ≥ 2.0 mm without stents were evaluated by two investigators and compared with quantitative coronary angiography. Patients were classified according to the average heart rate (mean (SD)) into three equally sized groups: group 1, 55.8 (4.1) beats/min; group 2, 66.6 (2.8) beats/min; group 3, 81.7 (8.8) beats/min.
Results: Image quality was sufficient for analysis in 78% of the coronary segments in patients in group 1, 73% in group 2, and 54% in group 3 (p < 0.01). The sensitivity and specificity for detecting significant stenoses (≥ 50% lumen reduction) in these assessable segments were: 97% (95% confidence interval (CI) 84% to 100%) and 96% in group 1; 74% (52% to 89%) and 94% in group 2; and 67% (33% to 90%) and 94% in group 3 (p < 0.05). Accounting for all segments of ≥ 2.0 mm, including lesions in non-assessable segments as false negatives, the sensitivity decreased to 82% (28/34 lesions, 95% CI 69% to 91%), 61% (14/23 lesions, 42% to 77%), and 32% (6/19 lesions, 15% to 50%), respectively (p < 0.01).
Conclusions: MSCT allows reliable coronary angiography in patients with low heart rates.
- spiral computed tomography
- coronary artery disease
- heart rate
- EBCT, electron beam computed tomography
- MSCT; enhanced multislice spiral computed tomography
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Contrast enhanced multislice spiral computed tomography (MSCT) is a promising non-invasive technique for the detection, visualisation, and characterisation of stenotic coronary artery disease.1–4 However, MSCT has relatively poor temporal resolution compared with other methods of non-invasive coronary imaging such as electron beam computed tomography (EBCT) and magnetic resonance imaging.5–7 Therefore MSCT remains sensitive to cardiac motion artefacts.1,2,8
We investigated the impact of average heart rate during acquisition of the MSCT angiograms on the accuracy of the technique for detecting stenotic coronary artery disease.
METHODS
Population
MSCT angiography was undertaken in 78 patients (mean (SD) age 56.9 (10.1) years; 57 men, 21 women). They were suspected of having coronary artery disease (n = 53) or presented with recurrent symptoms after percutaneous coronary interventions (n = 25) (table 1). Exclusion criteria were: not being in sinus rhythm, having an allergy to iodine containing contrast media, renal failure (serum creatinine > 100 μmol/l), pregnancy, respiratory impairment, or pronounced cardiac failure.
The study was approved by the local ethics committee, and informed consent was obtained from all patients.
Data acquisition
Contrast enhanced MSCT examinations were done in the supine position during a single breath hold (Somatom Plus 4 VolumeZoom, Siemens AG, Forchheim, Germany). A fixed delay of 20 seconds was instituted between the start of the intravenous contrast injection (150 ml of Iomeprol (350 mgI/ml), given at a rate of 3.5–4.0 ml/s) and the onset of the scan. An ECG was recorded during the continuous CT data acquisition. A 4 × 1.0 mm scan protocol was applied at a table increment of 1.5 mm per gantry rotation (rotation time 500 ms) for heart rates of < 80 beats/min. At faster heart rates (≥ 80 beats/min) the table feed could be increased to 2.0 mm per rotation. A tube voltage of 120 kV and a current of 300 mA were typically applied. Depending on the cardiac dimensions and table feed, the scan time varied between 25–45 seconds.
Image reconstruction
After acquisition of the raw spiral CT data, retrospective ECG synchronised slices were reconstructed. A detailed description of ECG gated image reconstruction can be found elsewhere.9 In summary, a single slice can be reconstructed from the CT data from a 180° x ray tube rotation, acquired in 250 ms at a rotation time of 500 ms. When the heart rate is above 65 beats/min, data from consecutive cycles are combined, which improves the effective temporal resolution.
Depending on the instantaneous heart rate, the slice reconstruction time varies between 125–250 ms (fig 1). Because data were acquired continuously, the reconstruction window can be positioned at any point within the cardiac cycle. Routinely, at least three datasets with reconstruction windows starting at 300 ms, 400 ms, and 500 ms before the onset of the next R wave were reconstructed. Other window positions within the diastolic phase were reconstructed if no satisfactory result was achieved. In a side by side comparison of the axial slices, the dataset with least motion artefacts was then selected for further analysis.
Typically a dataset at around 400 ms reconstruction showed the best result, but at higher heart rates the most optimal window was positioned closer towards 300 ms before the next R wave. Besides retrospective ECG gating, spiral scanning also allows selection of an image reconstruction increment (0.5 mm) below the effective slice thickness (1.25 mm). As a result of the overlapping slice reconstruction, near-isotropic voxel dimensions are created (0.3 × 0.3 × 0.5 mm).
Image processing
The image datasets were processed on a separate workstation and analysed using multiplanar reconstruction, thin slab maximum intensity projections, and volume rendering, in addition to the axial source images. Blinded for the conventional coronary angiography findings, two investigators assessed each coronary artery segment (according to the American Heart Association guidelines) and a final decision was reached by consensus.10 Depending on the image quality, each vessel segment was classified as either assessable or not. Because of metal artefacts, coronary segments containing stents were excluded from assessment. Vessel segments with a diameter of ≥ 2.0 mm, according to quantitative coronary angiography, were screened for the presence of ≥ 50% lumen diameter reduction and compared with the results of the conventional angiographic examination.
Statistical analysis
Continuous variables are expressed as mean (SD). Descriptive statistics, sensitivity, specificity, negative predictive value, and positive predictive value, using a 95% confidence interval (CI), were stratified according to average heart rate in three equally sized groups. A χ2 test was used to compare dichotomous variables. The diagnostic value was given for assessable segments, all segments of ≥ 2.0 mm, and per patient. For analyses that include both assessable and non-assessable segments, the undetected lesions were classified as false negative results. Conventional (quantitative) coronary angiography was regarded as the gold standard.
RESULTS
The mean (SD) data acquisition time was 36.9 (3.8) seconds. Overall, 505 (68%) of 741 coronary segments could be assessed. In patients with a lower average heart rate, more segments of ≥ 2.0 mm were assessable (fig 2). In all, 48 of 57 significant stenoses (84%) and 424 of 448 normal and non-significantly narrowed segments (98%) were correctly identified in the assessable segments (fig 3). The positive and negative predictive value were 67% and 98%, respectively. Including stenotic lesions in non-assessable segments, the overall sensitivity decreased to 64% (48 of 76 lesions). Misinterpretations, both false positive and negative, were caused by calcification and motion artefacts.
The total group of 78 patients was divided into three groups of 26 patients according to their heart rate ranking from low to high. The quality of the MSCT images of patients in group 1, with the lowest heart rate (mean (SD) 55.8 (4.1) beats/min, range 49–62), was sufficient for analysis in 78% of the coronary segments. For patients in group 2 (66.6 (2.8) beats/min, range 63–72) and group 3 (81.7 (8.8) beats/min, range 73–104), 73% and 54% of the segments, respectively, were assessable (p < 0.01). The sensitivity and specificity for detecting significant stenoses in the assessable segments were 97% (28/29) and 96%, 74% (14/19) and 94%, and 67% (6/9) and 94%, for groups 1, 2, and 3, respectively (p < 0.05). Accounting for all segments of ≥ 2.0 mm, including lesions in non-assessable segments as false negatives, the sensitivity decreased to 82% (28/34), 61% (14/23), and 32% (6/19), respectively (p < 0.01).
Complete and accurate results were achieved more often in patients in group 1 (73%) than in those in group 2 (54%) or group 3 (42%). Only at high heart rates (group 3) were significantly more right coronary artery segments classified as non-assessable in comparison with left anterior descending coronary artery segments—58% and 35%, respectively (p < 0.01). These findings are amplified in table 1 and illustrated by representative cases in fig 4. The interobserver and intraobserver variability (the latter based on 19 randomly selected patients) for detecting stenosis were reasonably good, with κ values of 0.69 and 0.64, respectively.
From the recorded ECGs of 10 randomly selected patients we calculated the averaged relative heart rate variation during the scan. Initially, a brief deceleration can be observed; after approximately 20 seconds, however, the heart rate progressively increases (fig 5).
DISCUSSION
Residual cardiac motion artefacts remain a major cause of image degradation in MSCT coronary angiography.2,3,8 The right coronary artery appears particularly vulnerable because of its extensive motion radius and short motion-free period.11 In a recently published study, an inverse relation between heart rate and the image quality of MSCT coronary angiography was reported.12 However, that study did not investigate the consequences for diagnostic accuracy because there was no comparison with a gold standard (conventional angiography).
MSCT image reconstruction takes place during the diastolic phase when motion is relatively sparse.11 The length of this motion-free period is inversely related to the heart rate. Conversely, there is a direct relation between the length of the reconstruction interval—that is, the temporal resolution—and the occurrence of cardiac motion artefacts. The temporal resolution depends on the gantry rotation time, which, owing to mechanical constraints, is currently limited to a maximum of 500 ms. Thus, by using a standard 180° rotation reconstruction algorithm, the temporal resolution is 250 ms. For comparison, EBCT has a temporal resolution of 100 ms and most magnetic resonance coronary angiography sequences use acquisition windows of between 100–150 ms.6,7 At low heart rates a sufficiently long motion-free window is usually available during the mid-diastolic phase. Because this window narrows at higher heart rates, an algorithm has been developed that combines data from consecutive heart cycles and thereby potentially reduces the reconstruction time per cycle down to 125 ms. Optimal performance with this bisegmental algorithm can only be achieved at certain favourable heart rates. Furthermore, this potential reduction of motion artefacts comes at the price of a higher radiation exposure because the algorithm requires a relatively low table speed.
Besides motion artefacts, other factors such as the presence of high density material (stents or coronary calcifications), adjacent contrast filled cavities and veins, and incomplete breath holding complicate the assessment of the coronary arteries. Extensive calcium deposition causes high density artefacts that prevent proper luminal assessment. In our group with the lowest heart rates, calcifications were the most common cause of assessment limitation and lesion misinterpretation. Patients with advanced coronary atherosclerosis do not currently benefit from MSCT angiography, and non-enhanced computed tomography, which detects extensive calcium deposition, can be helpful in identifying these patients.
Despite the optimisation of the temporal resolution at higher heart rates, we have shown that the assessability and diagnostic accuracy are significantly higher at lower heart rates, and deteriorate at higher heart rates. A temporary reduction in heart rate by giving short acting oral or intravenous β receptor blocking agents before the data acquisition can be expected to improve image quality. A reduction in the total scan time, either by faster gantry rotation or by more slices, will reduce the heart rate acceleration towards the end of the breath hold. A short scan time will also be beneficial in respect of venous contrast enhancement and patient motion.