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Article

Comparison of Performance of Micro-Computed Tomography (Micro-CT) and Synchrotron Radiation CT in Assessment of Coronary Stenosis Caused by Calcified Plaques

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03 July 2023

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04 July 2023

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Abstract
Synchrotron radiation computed tomography (SRCT) allows more accurate calcified plaque and coronary stenosis assessment as a result of its superior spatial resolution, however, typical micro-computed tomography (micro-CT) systems have even higher resolution. The purpose of this study was to compare performance of high-resolution micro-CT with SRCT in the assessment of calcified plaques and a previously published dataset of coronary stenosis assessment. This experimental study involved micro-CT scanning of three-dimensional printed coronary artery models with calcification in situ used in our previously published SRCT study on coronary stenosis assessment. Measurements of coronary stenosis utilizing both modalities were compared using a paired sample t-test. The degrees of stenosis measured on all but one micro-CT dataset were statistically significantly lower than the corresponding SRCT measurements reported in our previous paper (p<0.0005-0.05). This indicates that the superior spatial resolution of micro-CT was able to further reduce over-estimation of stenosis caused by extensive calcification of coronary arteries and hence false positive results. This study shows that high-resolution micro-CT outperforms SRCT in both calcified plaque and coronary stenosis assessment. This finding will become clinically important for cardiovascular event prediction and enable reclassification of individuals with low and intermediate risk into appropriate risk categories when the technical challenges of micro-CT in clinical practice such as the small field of view and demanding on image processing power are addressed.
Keywords: 
3D printing; accuracy; calcification; cardiovascular disease; computed tomography; coronary artery disease; coronary stenosis; micro-computed tomography; plaque; synchrotron radiation
Subject: 
Medicine and Pharmacology  -   Cardiac and Cardiovascular Systems

1. Introduction

Coronary computed tomography angiography (CCTA) is commonly used for coronary artery disease (CAD) diagnosis because it is a less-invasive imaging modality and performs well in coronary stenosis assessment and cardiac event prediction [1,2,3]. For low to intermediate coronary stenosis, CCTA has very high negative predictive value as a result of its ability to exclude significant stenosis [4]. Nonetheless, CCTA has high false positive results in patients with extensive calcified plaques in the coronary arteries by causing blooming artifact which exaggerates plaque size and hence affects diagnostic value. Previous studies have shown that its specificity and positive predictive value (PPV) in calcification is only 18%-53% [5,6].
Various approaches have been investigated for improving CCTA performance in calcification such as the use of image post-processing and iterative reconstruction (IR) to reduce blooming artifact [6,7,8,9], inclusion of the left coronary bifurcation angle in analysis [10,11,12], and through use of thinner slices (230 μm high-resolution computed tomography (CT)) [13]. However, spatial resolution of synchrotron radiation CT (SRCT, 19×19×19 μm3) is much higher than that of conventional CT [14] as demonstrated in our previous study [15].
Nonetheless, typical micro-CT systems have spatial resolutions as low as 0.5×0.5×0.5 μm3 which are far better than that of SRCT and hence should improve diagnostic performance of calcified plaque evaluation [15,16]. To the best of our knowledge, no study has been conducted to compare the performance of these two imaging modalities in the assessment of coronary arterial lumen loss and calcification. The purpose of this study was to compare the performance of high-resolution micro-CT with the SRCT in the calcified plaques and coronary stenosis assessment. We hypothesized that the superior resolution of micro-CT allowed for an improvement in assessment of coronary stenosis in the presence of calcified plaques.

2. Materials and Methods

We used previously developed three-dimensional (3D) printed coronary models with simulation of calcified plaques to explore the hypothesis given the long scanning time of micro-CT and the limited field of view [15,17]. 3D printed heart and vascular models derived from CT or magnetic resonance images can replicate anatomical structures and pathologies with a high degree of accuracy, thus serving as a useful tool for understanding complex cardiac anatomy and simulating surgical or interventional procedures [18,19,20,21,22,23,24,25]. Our models were created based on CCTA datasets of three patients with different degrees of coronary artery stenosis caused by calcified plaques. A Stratasys Objet500 Connex3 multi-material (Polyjet) 3D printer (Objective 3D, Melbourne, Victoria, Australia) was used to print coronary artery walls and calcifications with TangoPlus (83 Hounsfield unit (HU)) and VeroWhite (136 HU) materials, respectively [26]. These printing materials were chosen because their attenuation properties matched those of the corresponding structures which are around 89 HU (artery wall) and at least 130 HU (calcified plaque) [27,28,29]. A summary of the anatomical characteristics of these three models is shown below. Further details of the CCTA datasets, patients and 3D printing involved in this experimental study were given in our previous publication [15]. Ethics approval was not required in this study as only 3D-printed coronary artery models were used (Figure 1).
  • Model 1: >90% and <50% stenosis in left main stem (LM) and left anterior descending (LAD) coronary artery respectively.
  • Model 2: >90% and 70% stenosis in LAD and left circumflex (LCx) respectively.
  • Model 3: >90% and 70% stenosis in proximal LCx and middle LCx respectively.
Skyscan 1176 micro-CT system (Bruker Corporation, Billerica, MA, USA) available at Australian National Imaging Facility in Centre for Microscopy, Characterisation and Analysis (CMCA) at Harry Perkins Institute of Medical Research was used to scan the three models at its highest spatial resolution (8.7×8.7×8.7 μm3) and lowest tube voltage (40 kV) settings. The selection of the lowest tube voltage was based on our previous SRCT findings that a lower beam energy (30 keV) provided better visualization of coronary artery walls and calcified plaques as a result of the materials used; TangoPlus and VeroWhite which have low x-ray attenuation properties [15,30,31,32,33]. Figure 2 shows the micro-CT scan setup.
Axial micro-CT images of the three models in tagged image file format (TIFF) were
converted to Analyze 7.5 file format by the open-source image processing program, ImageJ (v1.52a, National Institutes of Health, Bethesda, MD, USA) for importing into the Analyze 12 software package (AnalyzeDirect, Inc., Lexana, KS, USA) with multi-dimensional image display, processing, and measurement capabilities on an image processing workstation (Hewlett-Packard Z4 G4 [Palo Alto, CA, USA] with Intel Xeon W-2255 3.7 GHz central processing unit [Santa Clara, CA, USA], 512 GB random access memory and Nvidia RTX A6000 48 GB graphics processing unit [Santa Clara, CA, USA]). The degree of coronary lumen stenosis was measured on 2-dimensional (2D) axial images of the three models by one observer with more than 20 years of CCTA image interpretation experience. Three measurements were performed for each stenotic area with their average value used as the final value, to minimize intra-observer variation. Intra-observer agreement was determined by randomly selecting images of each model and repeating the measurements by the same observer after two weeks. Good intra-observer reliability between these measurements was found (r=0.835, p<0.01). Details of the measurement approach were given in our previous reports [31,32,34,35,36].
SPSS Statistics 28 (International Business Machines Corporation, Armonk, NY, USA) was used for statistical analysis. Mean and standard deviation were calculated for continuous variables. The measurements of coronary lumen stenosis on the micro-CT images of the three models were compared with the corresponding measurements performed on SRCT acquired with a beam energy of 30 keV reported previously using a paired sample t-test to determine the modality able to provide better coronary stenosis assessment [15]. A p-value less than 0.05 represented statistical significance.

3. Results

Table 1 and Table 2 show the micro-CT stenosis assessment performances for all six plaques in the three 3D printed coronary artery models. The degrees of stenosis measured on the micro-CT images of the models (except the one caused by plaque 2 in model 3) were statistically significantly lower than the corresponding SRCT measurements reported in our previous paper (p<0.0005-0.05) [15]. This indicates that the superior spatial resolution of micro-CT was able to further suppress the blooming artifact caused by the extensive calcification. Nonetheless, the degrees of stenosis measured on the micro-CT images of plaques 1 and 2 of models 1 and 2 were lower than the ground truths (degrees of stenosis calculated based on the true sizes of simulated plaques and models).
Figure 3, Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8 show the micro-CT and SRCT images of plaques 1 and 2 in models 1-3 that were used for the stenosis assessments. For the micro-CT (0.009 mm slice thickness) images, only the stenotic areas were illustrated due to the processing power limit of the workstation for handling data with a very large matrix (7872×7872). The micro-CT (0.009 mm slice thickness) images were able to clearly demonstrate patent areas between the calcification and the left coronary arterial walls, especially in severe stenosis compared with SRCT (0.095-0.491 mm slice thickness) images (Figure 3, Figure 4 and Figure 5 with >90% stenosis).

4. Discussion

To the best of our knowledge, this is the first study to compare the performance of high-resolution micro-CT with SRCT in calcified plaque and coronary stenosis assessment. Our findings show that the superior resolution of micro-CT allows for statistically significant improvements (p<0.0005-0.05) in the assessment of stenosis in the presence of calcified plaques (except plaque 2 within model 3) with regard to blooming artifact suppression, hence minimizing over-estimation when compared with the corresponding results of our previous SRCT study [15]. This potentially reduces the false positive rate and improves specificity and PPV if the micro-CT is applied to clinical practice for addressing the well-known weakness of the CCTA in the assessment of coronary stenosis with extensive calcification [5,6,37,38].
Although micro-CT seems to outperform SRCT for blooming artifact suppression, Table 1 and Table 2 reveal that the degree of stenosis measured on the micro-CT images of plaques 1 and 2 of models 1 and 2 were obviously lower than the ground truths, representing under-estimation of the stenoses. Similar findings were also noted in the results of our previous study where higher SRCT beam energies such as 50 keV, were able to further reduce blooming artifact but affected visualization of coronary artery walls and calcified plaques [15]. Use of a higher beam energy (tube potential) is one of the well-known strategies to suppress blooming artifact because the calcified plaque is a high-density material which can easily attenuate radiation with lower energies [33]. However, a higher tube potential is deemed unsuitable for soft tissue visualization such as coronary arteries because its density is lower than that of the calcification. Unfortunately, the lowest tube potential available on the Skyscan 1176 micro-CT scanner is 40 kV.
Another issue of micro-CT is its small field of view (FOV). As shown in Figure 1, the scan table is just large enough to accommodate the 3D printed coronary artery models and therefore not applicable for clinical use. However, micro-CT scanners with greater FOVs such as 43.2×43.2 cm2 have become available more recently [39]. This may make it possible to manufacture a clinical CT scanner with superior spatial resolution matching micro-CT performance in the future. Nevertheless, it is still a challenge for current image processing workstations to handle high-resolution CT images with large matrix size. For example, each model dataset in this study had around 10000 images with 7872×7872 pixels and bit depth of 16 (2 bytes), and hence every dataset size was about 1 TB (7872×7872 pixels × 2 bytes x 10000 images). Also, the long scanning time of micro-CT needs to be addressed so it may take some years for micro-CT technology to be applied in clinical practice. This would be similar to the previous CT system development that took decades for implementing iterative reconstruction into clinical practice since its emergence in 1970s due to the previous processing power limit of computers which also affected its scanning time and spatial resolution improvements [40,41,42].
When the aforementioned issues of micro-CT are addressed, it will be useful for cardiovascular event prediction by reclassifying individuals with low and intermediate risk categories to the appropriate risk categories and therefore safer clinical management along a spectrum where high-risk individuals often undergo interventional treatment whereas low risk are usually followed up without any need for treatment [43,44]. If the use of micro-CT is combined with other blooming artifact suppression approaches such as the latest deep learning image reconstruction strategy, this may enable CT to become the imaging modality with a diagnostic performance matching the current gold standard of invasive coronary angiography. This has significant implications for interventional risks, radiation and healthcare costs [8,9].
Although it is currently impossible to use micro-CT in patient imaging, findings of this study highlight the importance of using high-resolution imaging for the improvement of assessing calcified coronary plaques and a reduction in false positive rates. Compared to the current medical CT scanners with 0.5x0.5x0.5 mm spatial resolution, photon-counting CT represents the latest technological advancement with ultra-high resolution of 0.2 mm, excellent image quality and further reduction in blooming artifact caused by the severe calcification or coronary stents [45,46,47,48,49]. Recent studies based on phantom experiments showed that photon-counting CT has improved quantification of coronary stenosis with reduced blooming artifact, independent of heart rates when compared to the standard CCTA (0.2 mm vs 0.4 mm slice thickness) [45,46]. This is also confirmed by patient studies using the photon-counting CT. Si-Mohamed et al. reported their initial experience with photon-counting CT in patients with 100% improvement in overall image quality in calcification [47]. Hagar et al. analyzed imaging of 68 patients showing that photon-counting CT had 96% sensitivity, 84% specificity and 88% accuracy in the assessment of significant CAD. Even in patients with severe calcification (Agatston score of at least 1000), photon-counting CT still had a high performance with 93% sensitivity, 70% specificity and 83% accuracy [48]. Soschynski et al. in their multi-center study consisting of 92 patients further validated these findings with a high diagnostic performance: 92% sensitivity, 96% specificity and 95% accuracy (Figure 9) [49]. Photon-counting CT is likely to make significant contributions to the improvement of diagnostic assessment of calcified coronary plaques in future.
This study has several limitations. Only one tube potential and one slice thickness were used for the micro-CT image acquisition. Comparison of high-resolution micro-CT with use of different resolutions such as 0.1-0.4 mm deserves to be investigated as this is close to the CT resolution available in clinical practice. There were no thoracic structures surrounding the coronary models, and contrast medium was not used. However, these should not affect the assessment of calcified plaques and coronary stenosis as evident in Figure 3, Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8 that the margins of vessel walls and plaques demonstrated on the micro-CT images as sharp as those on the SRCT images or even better [15]. Although plaques of differing degree and location were simulated, only six were present in this study and clinical variation of arterial diameter, degree of disease, location and number of plaques is wider. Most importantly, plaques can still be heterogeneous even when calcified, and this has implications on interpretation of detailed images [17].

5. Conclusions

This study shows that the high-resolution micro-CT outperforms SRCT in calcified plaques and coronary stenosis assessment with regard to blooming artifact reduction. This finding will become clinically important for cardiovascular risk prediction and allow reclassification of individuals with low and intermediate risk into the appropriate risk categories when the technical challenges of using micro-CT in clinical practice such as small FOV and highly demanding image processing power are addressed. Potentially, this will lead to optimal clinical management according to accurate risk prediction in a disease process where intervention carries risks and minimization of unnecessary coronary angiography and treatment must be paramount.

Author Contributions

Conceptualization, C.K.C.N., Z.S. and S.J.; methodology, C.K.C.N., Z.S. and S.J.; software, Z.S.; validation, C.K.C.N., Z.S. and S.J.; formal analysis, C.K.C.N. and Z.S.; investigation, C.K.C.N. and Z.S.; resources, C.K.C.N. and Z.S.; data curation, C.K.C.N. and Z.S.; writing—original draft preparation, C.K.C.N., Z.S. and S.J.; writing—review and editing, C.K.C.N., Z.S. and S.J.; visualization, Z.S.; project administration, C.K.C.N. and Z.S.; funding acquisition, C.K.C.N., Z.S. and S.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Curtin Medical School Seed Grants 2022, Curtin University, Australia.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data is available upon request.

Conflicts of Interest

The funder had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Three-dimensional printed coronary models with simulation of calcified plaques (arrows) in the left coronary arteries. Reprint from Sun et al. [15] with permission.
Figure 1. Three-dimensional printed coronary models with simulation of calcified plaques (arrows) in the left coronary arteries. Reprint from Sun et al. [15] with permission.
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Figure 2. Micro-computed tomography scan with model 2 placed on the scan table.
Figure 2. Micro-computed tomography scan with model 2 placed on the scan table.
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Figure 3. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 1 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 3. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 1 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 4. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 2 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 4. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 2 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 5. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 3 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 5. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 1 in model 3 causing >90% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 6. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 1 causing <50% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 6. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 1 causing <50% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 7. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 2 causing 70% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 7. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 2 causing 70% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 8. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 3 causing 70% stenosis (reprint of synchrotron radiation CT images with permission [15]).
Figure 8. Two-dimensional micro-computed tomography (micro-CT) (0.009 mm slice thickness) and synchrotron radiation CT (0.095-0.491 mm slice thickness) images of plaque 2 in model 3 causing 70% stenosis (reprint of synchrotron radiation CT images with permission [15]).
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Figure 9. Coronary computed tomography angiography images of a 75-year-old male patient with atypical angina pectoris. Total Agatston score was 589. All coronary segments were diagnostic. Despite a high plaque burden, all calcified plaques were assessable with <50% stenosis and hence significant coronary stenosis could be excluded with high certainty. Reprint from Soschynski et al. with permission under open access Creative Commons CC BY 4.0 license [49].
Figure 9. Coronary computed tomography angiography images of a 75-year-old male patient with atypical angina pectoris. Total Agatston score was 589. All coronary segments were diagnostic. Despite a high plaque burden, all calcified plaques were assessable with <50% stenosis and hence significant coronary stenosis could be excluded with high certainty. Reprint from Soschynski et al. with permission under open access Creative Commons CC BY 4.0 license [49].
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Table 1. Comparison of micro-computed tomography (micro-CT) and synchrotron radiation CT (SRCT) performance in measuring left coronary stenosis in plaque 1 >90% stenosis [15].
Table 1. Comparison of micro-computed tomography (micro-CT) and synchrotron radiation CT (SRCT) performance in measuring left coronary stenosis in plaque 1 >90% stenosis [15].
Model Degree of Lumen Stenosis (%) p-value
Micro CT SRCT
0.009 mm
ST
0.095 mm
ST
0.208 mm
ST
0.302 mm
ST
0.491 mm
ST
1 86.2±0.033 99.1±0.004 98.8±0.003 99.1±0.004 100±0.000 <0.005
2 80.0±0.044 97.2±0.025 97.8±0.022 96.4±0.012 96.4±0.010 <0.0005
3 94.4±0.000 99.2±0.005 97.2±0.009 97.8±0.005 100±0.000 <0.0005
CT, computed tomography; ST, slice thickness.
Table 2. Comparison of micro-computed tomography (micro-CT) and synchrotron radiation CT (SRCT) performance in measuring left coronary stenosis in plaque 2: <50% stenosis (model 1), and 70% stenosis (models 2 and 3) [15].
Table 2. Comparison of micro-computed tomography (micro-CT) and synchrotron radiation CT (SRCT) performance in measuring left coronary stenosis in plaque 2: <50% stenosis (model 1), and 70% stenosis (models 2 and 3) [15].
Model Degree of Lumen Stenosis (%) p-value
Micro CT SRCT
0.009 mm
ST
0.095 mm
ST
0.208 mm
ST
0.302 mm
ST
0.491 mm
ST
1 46.4±0.035 47.4±0.007 47.3±0.001 48.6±0.022 55.1±0.036 <0.05
2 60.0±0.031 70.0±0.003 71.7±0.022 77.8±0.011 84.8±0.008 <0.0005
3 75.0±0.000 71.5±0.011 75.2±0.017 74.7±0.021 85.1±0.078 0.091
CT, computed tomography; ST, slice thickness.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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