Literature DB >> 34853256

Plaque Characterization with Computed Tomography Angiography Based on a Diluted-contrast Injection Protocol.

Yasuhisa Nakao1, Kazuki Yoshida2, Shinji Inaba1, Yuki Tanabe2, Akira Kurata2, Teruyoshi Uetani1, Teruhito Kido2, Katsuji Inoue1, Teruhito Mochizuki2, Osamu Yamaguchi1.   

Abstract

Objective Coronary plaques with low attenuation on computed tomography (CT) angiography may indicate vulnerable plaques. However, plaque CT attenuation is reported to be significantly affected by intracoronary attenuation. Recently, the diluted-contrast injection protocol was established to facilitate more uniform intracoronary attenuation than can be achieved with the generally used body-weight-adjusted protocol. We validated the relationship between low-attenuation plaque on CT and lipid-rich plaque using integrated backscatter-intravascular ultrasound (IB-IVUS) as the standard reference. Methods Plaques were divided into tertiles (T1, T2, and T3) according to the plaque CT attenuation, calculated as the average of five intra-plaque regions of interest, and compared with the plaque characteristics noted on IB-IVUS. Patients Patients who underwent both CT angiography using a diluted-contrast injection protocol and IB-IVUS were retrospectively analyzed. Results Thirty-nine plaques in 32 patients were analyzed by CT angiography and IB-IVUS. The median plaque CT attenuation (Hounsfield units) of each tertile was 30 (T1), 48 (T2), and 68 (T3). Although no significant difference was noted in conventional quantitative IVUS parameters (e.g. plaque burden), the T1 with lowest plaque CT attenuation had the highest percentage lipid area by IB-IVUS [75.1% (T1), 57.8% (T2), and 50.8% (T3), respectively, p<0.01]. Furthermore, the plaque CT attenuation had a significant negative correlation with the percentage lipid area (r=-0.59, p<0.01). Conclusion CT angiography-based plaque characterization using a diluted-contrast injection protocol may aid in the quantitative detection of lipid-rich plaque.

Entities:  

Keywords:  atherosclerosis; computed tomography; coronary artery disease; coronary plaque; intravascular ultrasound

Mesh:

Year:  2021        PMID: 34853256      PMCID: PMC8710393          DOI: 10.2169/internalmedicine.6683-20

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


Introduction

Computed tomography (CT) angiography is a widely used noninvasive tool for assessing coronary artery stenosis. In addition to facilitating anatomical evaluations, CT has been used increasingly frequently during the last decade for CT-based coronary plaque characterization (1,2). In fact, several studies have shown that low-attenuation coronary plaque on CT angiography was associated with vulnerable plaque morphology and could predict future cardiovascular events (3,4). However, CT-based plaque characterization is unreliable, as plaque CT attenuation is significantly affected by intracoronary attenuation (5). Recently, Kawaguchi et al. established a diluted-contrast injection protocol, which affords more homogeneous analysis of plaque CT attenuation with higher reproducibility than a conventional body-weight-adjusted protocol (6). Previous research groups have shown that integrated backscatter-intravascular ultrasound (IB-IVUS) enabled robust tissue characterization of coronary atherosclerotic plaques in in vivo studies (7,8). IB-IVUS provides useful information about plaque characterization associated with cardiovascular events (9-11). The present study therefore validated the use of an optimized diluted-contrast injection protocol for characterizing coronary plaque using IB-IVUS as a standard reference.

Materials and Methods

Study population and study protocol

This was a single-center retrospective observational study for coronary plaques in patients with unstable angina pectoris (UAP) or stable angina pectoris (SAP) (12,13). UAP was defined as the onset of severe, progressive, or resting angina suggestive of an acute coronary syndrome (ACS) coinciding with appropriate objective evidence of myocardial ischemia in coronary angiography, demonstrating 50% epicardial coronary stenosis. SAP was defined as no change in the frequency, duration, or intensity of chest pain. We retrospectively analyzed 64 patients who underwent coronary CT angiography using a diluted-contrast injection protocol and IB-IVUS within 3 months of each other between May 2012 and March 2016. The diluted diluted-contrast injection protocol was clinically implemented as an institutional standard protocol, except in cases with a certain specific cardiovascular disease or history (e.g., post-coronary artery bypass grafting, aortic stenosis before trans-aortic valve intervention). We excluded 32 patients [12 with severe calcified plaques, 9 with no IVUS data before percutaneous coronary intervention (PCI), 5 with in-stent restenosis lesions, 2 with poor CT images due to motion artifacts, 3 with chronic total occlusion (CTO) lesions and 1 with a small coronary plaque lesion]. Ultimately, 32 patients were registered in the present study. The investigation conforms with the principles outlined in the Declaration of Helsinki and was approved by the research ethics committee of our hospital.

CT angiography using a diluted-contrast injection protocol

CT angiography was performed by a personalized-contrast injection protocol using the diluted-contrast material (CM) previously reported by Kawaguchi et al. (6). A 256-slice multi-detector row CT scanner (Brilliance iCT; Phillips Healthcare, Cleveland, USA) and an automatic dual injector (Stellant DualFlow; Bayer Yakuhin, Osaka, Japan) were used. At 5 min prior to the timing bolus scan, 0.6 mg of nitroglycerin spray (Myocor; Astellas Pharma, Tokyo, Japan) was sublingually administered to all patients, and 0.125 mg/kg of landiolol hydrochloride (Corebeta; Ono Pharmaceutical, Tokyo, Japan) was intravenously administered when the heart rate was >60 beats/min. Either iohexol (Omnipaque 350 mg iodine/mL; Daiichi Sankyo, Tokyo, Japan) or iopamidol (Iopamiron 370 mg iodine/mL; Bayer Yakuhin) was used. The timing bolus scan was performed with 20% CM dilution at the same injection rate and volume as that of the main scan (5 mL/s, 50 mL), followed by a saline chaser (5 mL/s, 40 mL) to estimate the optimal scan timing and the CM dilution rate to obtain the target arterial attenuation (350 Hounsfield units; HU). The time-attenuation curve (TAC) at the level of the ascending aorta was created with a series of axial CT images. Aortic attenuation was measured at the baseline (before the upslope) and 3 seconds before time-to-peak enhancement of the TAC in the timing bolus scan. For the target arterial attenuation of 350 HU, the optimal CM dilution rate for the main scan was calculated using the following formula: A (%)=20%×(350-baseline attenuation)/(attenuation 3 seconds before time-to-peak enhancement of the TAC-baseline attenuation) The CM dilution rate was individually calculated using the above two entries in the cardiac CT database. This calculation was automatically performed when the required information was fed into the coronary CT angiography database, and the optimal CM dilution rate for the real scan was adjusted with an automatic dual injector at intervals of 5% for clinical use. Subsequently, the main scan was performed with the individually optimized CM injection protocol (A%, 5 mL/s and 50 mL), followed by a saline chaser. When a CM dilution rate over 100% was suggested, the injection duration was prolonged according to the increase of the necessary iodine dose at the same injection rate of 5 mL/s. Scan parameters were as follows: prospective or retrospective electrocardiogram (ECG) gated scan mode with dose modulation targeting a phase of 75% RR interval in ECG at a scan heart rate of <65 or ≥65 beats/min, respectively; tube voltage, 120 kVp; effective tube current, 210 (102-210) mAs or 1,064 (800-1,339) mAs/slice; gantry rotation time, 0.27 s/rotation; pitch factor, 0.14; collimation, 2×128×0.625 mm with a dynamic z-focal spot, 250 mm display field of view, and a 512×512 image matrix.

CT data analyses

Axial CT data were reconstructed with a slice thickness of 0.8 mm and a section interval of 0.4 mm using a medium-smooth cardiac kernel (XCB; Philips Healthcare) and filtered back projection or hybrid iterative reconstruction (iDose level 4; Philips Healthcare). Single CT images with a high image quality at the best phase were selected from the obtained dataset reconstructed in 5% increments. CT data analyses were performed by two experienced radiologists (with 5 and 11 years of experience in cardiac imaging) who were blinded to all information of the IB-IVUS. All CT datasets were analyzed with a commercially dedicated workstation (Synapse Vincent; Fuji Medical Systems, Tokyo, Japan). We defined the target plaque in the cross-sectional image that presented the minimum lumen area (MLA) and calculated the mean attenuation of 5 regions of interest (ROIs; size, 0.2-1.0 mm2) placed uniformly around the target plaque as the representative intra-plaque CT attenuation. We defined the normal reference site appearing as a normal vessel in a cross-sectional image proximal to the MLA site. We measured the intracoronary CT attenuation at the normal reference and MLA site by averaging the three ROIs manually placed at the center of the coronary lumen in the cross-sectional images.

IVUS data analyses

We analyzed IVUS data obtained using a 40-MHz, 5-Fr IVUS imaging catheter (ViewIT; Terumo, Tokyo, Japan) at an automatic pullback of 0.5 mm/s using a dedicated software program (VISIATLAS; Terumo). The cross-sectional area (CSA) of the external elastic membrane (EEM), lumen, plaque and media (P+M; calculated as EEM-lumen), and plaque burden [calculated as (P+M)/EEM] were measured at the MLA site. To ensure that the same coronary sections were compared by IB-IVUS and CT angiography, we first defined the MLA site in coronary CT angiography (CTA) cross-sectional image and identified the anatomical location using the distances from the bifurcation points and side branches as references. In addition, we identified the corresponding coronary sections in IVUS using the reference information by CTA for the frame-level matching carefully. For qualitative IVUS morphologic analyses, plaque attenuation was defined as the absence of an ultrasound signal behind a plaque that was either hypoechoic or isoechoic to the reference adventitia (14), attenuated plaque was defined as plaque with a maximum attenuation angle of >90°, positive remodeling was defined as CSA of the EEM at MLA site greater than the mean CSA of the reference EEM (15), and spotty calcification was defined as plaque containing only small calcium deposits within a 90° arc (16). Coronary plaques in the corresponding sections assessed by IB-IVUS and CT were classified into lipid pool and fibrous by the IB values based on previous IB-IVUS studies (10,11). The percentages of the lipid area and fibrous area were automatically calculated by the IB-IVUS system. An example of a plaque assessment by CT angiography and IVUS is shown in Fig. 1.
Figure 1.

Example of plaque assessments performed by CT angiography and IVUS. A: Cross-sectional image of CT angiography (left panel) using the diluted-contrast injection protocol. Average plaque CT attenuation was calculated with five intra-plaque ROIs (right panel). B: Grayscale IVUS image (left panel) and IB-IVUS image (right panel) corresponding to the CT section. The blue color (asterisk) indicates the large lipid pool, and the green color indicates the fibrous area on IB-IVUS. CT: computed tomography, HU: Hounsfield units, IB: integrated backscatter, IVUS: intravascular ultrasound, ROI: region of interest

Example of plaque assessments performed by CT angiography and IVUS. A: Cross-sectional image of CT angiography (left panel) using the diluted-contrast injection protocol. Average plaque CT attenuation was calculated with five intra-plaque ROIs (right panel). B: Grayscale IVUS image (left panel) and IB-IVUS image (right panel) corresponding to the CT section. The blue color (asterisk) indicates the large lipid pool, and the green color indicates the fibrous area on IB-IVUS. CT: computed tomography, HU: Hounsfield units, IB: integrated backscatter, IVUS: intravascular ultrasound, ROI: region of interest

Definition of high-risk plaque

A grayscale-derived high-risk plaque was defined by having at least one of the following known rupture-prone vulnerable plaque morphologies: attenuated plaque, positive remodeling, and spotty calcification. An IB-derived high-risk plaque causing ACS was defined by the presence of a lipid area percentage >65%, as previously reported (10).

Statistical analyses

Categorical variables were presented as n (%) and continuous variables were expressed as median and interquartile range. The inter-observer reliability in the representative intra-plaque CT attenuation was assessed by interclass correlation coefficients (ICCs). The correlation between the average plaque CT attenuation and percentage of lipid/fibrous area was tested using Spearman's correlation coefficient. Plaques were divided into tertiles based on the average plaque CT attenuation. Categorical variables were compared using Fisher's exact test. Continuous variables were compared using a non-parametric Kruskal-Wallis test, and Bonferroni's test was applied as a follow-up post-hoc analysies. P values <0.05 were considered statistically significant. Statistical analyses were performed using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan) (17). ICCs were used in the assessment of inter-observer reliability for the measurement of the average plaque CT attenuation and calculated using the SPSS software program (version 23.0, SPSS, Chicago, USA).

Results

Clinical and plaque characteristics

The clinical and plaque characteristics of 32 patients are shown in Table 1. The median age of the patients was 66 years old, and 91% were men. Of the 32 patients, 11 (34%) had an unstable clinical presentation.
Table 1.

Baseline Clinical and Lesion Features.

Patient characteristics (n=32 patients)
Age, years old66 [60, 73]
Male, sex29 (91%)
Body weight, kg69 [57, 76]
Body mass index, kg/m224 [22, 27]
Clinical presentation
Stable angina pectoris21 (66%)
Unstable angina pectoris11 (34%)
Coronary risk factors
Hypertension20 (63%)
Diabetes12 (38%)
Dyslipidemia16 (50%)
Smoking history21 (66%)
Family history of coronary artery disease11 (34%)
Lesion characteristics (n=39 lesions)
Target vessel
Right coronary artery6 (15%)
Left anterior descending artery28 (72%)
Left circumflex artery4 (10%)
Left main coronary artery1 (3%)

Values are expressed as median [IQR] or percentage (number of observations/total number of patients).

Baseline Clinical and Lesion Features. Values are expressed as median [IQR] or percentage (number of observations/total number of patients).

CT angiography and IVUS analyses

CT angiography and IVUS analyses of the 39 plaques are summarized in Table 2. The median value of intracoronary CT attenuation at the proximal portion of the plaque was 348 [314-372] HU, which was very close to the target CT attenuation of 350 HU. In contrast, the median value of intracoronary CT attenuation at the MLA site was 278 HU. The median CM volume for this protocol was 50 [46-60] ml. The median radiation dose was 8.2 [3.7-14.3] mSv. The ICC for the inter-observer reliability was 0.78 with a 95% confidence interval of 0.62 to 0.88, p<0.01. We found that the reliability was satisfactory (ICC >0.70).
Table 2.

Computed Tomography Angiography and Intravascular Ultrasound Analysis.

Overall 39 lesions
Computed tomographic angiography analysis
Average plaque CT attenuation, HU48 [33, 64]
Intra-coronary CT attenuation, HU (MLA site)278 [241, 335]
Intra-coronary CT attenuation, HU (proximal of the plaque)348 [314, 372]
Intravascular ultrasound analysis at MLA site
Quantitative analysis
EEM CSA, mm212.3 [10.0, 17.0]
Lumen CSA, mm22.1 [1.8, 2.7]
Plaque & media CSA, mm29.4 [7.7, 14.6]
%Plaque burden, %82.6 [74.4, 85.9]
Qualitative analysis
Plaque attenuation, %17 (44%)
Attenuation arc, degree82 [0, 173]
Positive remodeling, %11 (28%)
Spotty calcification, %10 (26%)
Lipid area, mm25.9 [4.3, 7.0]
Percentage of lipid area, %63.5 [49.8, 74.6]
Fibrous area, mm23.3 [1.8, 4.9]
Percentage of fibrous area, %31.2 [22.7, 41.8]

Values are expressed as median [IQR] or percentage (number of observations/total number of lesions). CSA: cross-sectional area, CT: computed tomography, HU: Hounsfield units, EEM: external elastic membrane, MLA: minimum lumen area

Computed Tomography Angiography and Intravascular Ultrasound Analysis. Values are expressed as median [IQR] or percentage (number of observations/total number of lesions). CSA: cross-sectional area, CT: computed tomography, HU: Hounsfield units, EEM: external elastic membrane, MLA: minimum lumen area The relationships between the average plaque CT attenuation and plaque components are shown in Fig. 2. The average plaque CT attenuation had a significant negative correlation with the percentage lipid area by IB-IVUS and a significant positive correlation with the percentage fibrous area by IB-IVUS.
Figure 2.

Relationship between the average plaque CT attenuation and plaque components: (A) percentage lipid area and (B) percentage fibrous area. CT: computed tomography, IVUS: intravascular ultrasound

Relationship between the average plaque CT attenuation and plaque components: (A) percentage lipid area and (B) percentage fibrous area. CT: computed tomography, IVUS: intravascular ultrasound When 39 plaques were divided into tertiles according to the average plaque CT attenuation, the median average plaque CT attenuation of each tertile was 30, 48, and 68 HU, respectively (Fig. 3A); in contrast, intracoronary CT attenuation at the non-stenotic site was similar among the tertiles (345, 348, and 365 HU, respectively) (Fig. 3B). The clinical presentation and IVUS plaque analysis according to the tertile of average CT attenuation are shown in Table 3. Although no significant difference was noted, target plaques responsible for the unstable clinical presentation tended to be most common in the first tertile, followed by the second tertile. A qualitative IVUS analysis showed a significant increase in the frequency of attenuated plaque from the third to first tertiles, along with an increase in the attenuation arc. Similar trends were observed in other vulnerable plaque morphologies (e.g. positive remodeling and spotty calcification). Furthermore, the percentage lipid area measured by IB-IVUS was highest in the first tertile (Fig. 3C). Conversely, the percentage fibrous area measured by IB-IVUS was lowest in the first tertile (Fig. 3D). No significant difference was seen among the tertiles in quantitative IVUS analyses (e.g., EEM CAS, lumen CSA, plaque & media CSA, and plaque burden).
Figure 3.

CT angiography analysis results and IB-IVUS findings according to the tertile of average plaque CT attenuation. A: Distribution of average plaque CT attenuation in each tertile. B: A comparison of non-stenotic intracoronary CT attenuation. C, D: A comparison of the percentage lipid area (C) and fibrous area (D). *Box and whiskers plot showing the range and quartiles. CT: computed tomography, IB-IVUS: integrated backscatter-intravascular ultrasound

Table 3.

Clinical Presentation and Intravascular Ultrasound Analysis According to Tertile of Average CT Value.

Tertile 1 (n=13)Tertile 2 (n=13)Tertile 3 (n=13)p value
Clinical presentation
Target lesion responsible for unstable clinical presentation7 (54%)4 (31%)2 (15%)0.14
Intravascular ultrasound analysis at MLA site
Quantitative analysis
EEM CSA, mm210.8 [9.4, 17.1]12.5 [11.6, 13.0]11.9 [8.3, 18.7]0.80
Lumen CSA, mm22.0 [1.8, 2.7]2.4 [2.1, 3.2]1.9 [1.8, 2.2]0.18
Plaque & media CSA, mm28.8 [6.6, 14.7]9.4 [8.4, 10.9]9.9 [6.2, 16.4]0.92
%Plaque burden, %81.3 [74.5, 85.8]82.6 [74.1, 84.3]83.7 [75.1, 87.7]0.61
Qualitative analysis
Plaque attenuation, %10 (77%)6 (46%)1 (8%)<0.01
Attenuation arc, degree149 [110, 211]86 [0, 172]0 [0, 0]<0.01
Positive remodeling, %5 (38%)4 (31%)2 (15%)0.55
Spotty calcification, %5 (38%)3 (23%)2 (15%)0.54

Values are expressed as median [IQR] or percentage (number of observations/total number of lesions). CSA: cross-sectional area, CT: computed tomography, EEM: external elastic membrane, MLA: minimum lumen area

CT angiography analysis results and IB-IVUS findings according to the tertile of average plaque CT attenuation. A: Distribution of average plaque CT attenuation in each tertile. B: A comparison of non-stenotic intracoronary CT attenuation. C, D: A comparison of the percentage lipid area (C) and fibrous area (D). *Box and whiskers plot showing the range and quartiles. CT: computed tomography, IB-IVUS: integrated backscatter-intravascular ultrasound Clinical Presentation and Intravascular Ultrasound Analysis According to Tertile of Average CT Value. Values are expressed as median [IQR] or percentage (number of observations/total number of lesions). CSA: cross-sectional area, CT: computed tomography, EEM: external elastic membrane, MLA: minimum lumen area

High-risk plaque

The frequency of high-risk plaques according to the tertile in the average CT attenuation is shown in Fig. 4. The detection rate of high-risk plaque defined by either grayscale- or IB-IVUS was highest in the first tertile (the detection rate of high-risk plaque in each tertile was 92%, 77%, and 31%, respectively, p<0.01 for grayscale IVUS; 77%, 31%, and 31%, respectively, p<0.05 for IB-IVUS).
Figure 4.

Frequency of high-risk plaque defined by (A) grayscale and (B) IB-IVUS according to the tertile of average plaque CT attenuation. CT: computed tomography, IB-IVUS: integrated backscatter-intravascular ultrasound

Frequency of high-risk plaque defined by (A) grayscale and (B) IB-IVUS according to the tertile of average plaque CT attenuation. CT: computed tomography, IB-IVUS: integrated backscatter-intravascular ultrasound

Discussion

The main findings of the current study are as follows: 1) the CT values of intracoronary attenuation using the diluted-contrast injection protocol were uniform; 2) the average plaque CT attenuation correlated with grayscale IVUS-plaque attenuation; 3) the average plaque CT attenuation correlated with the lipid-rich component on IB-IVUS, although no significant differences in conventional quantitative IVUS parameters were noted; and 4) IVUS-derived high-risk plaques were associated with a low average plaque CT attenuation evaluated by the diluted-contrast injection protocol. In this study, intracoronary CT attenuation by a diluted-contrast injection protocol was uniform around the target attenuation. Our data showed that the intra-coronary CT attenuation in the non-stenotic reference site (median 348 HU, inter-quantile 314-372 HU) was comparable to that in the previous study by Kawaguchi et al. (346.1±23.9 HU) (6). Therefore, this protocol may have clinical significance for assessing the efficacy of medication on coronary plaque progression and/or regression. Generally, IVUS has been used to evaluate the effects of lipid-lowering therapy on the plaque progression because it has a higher reliability than conventional CT angiography (18,19). Indeed, serial grayscale IVUS studies have shown that statin therapy could reduce coronary plaque volume, regardless of the clinical presentation (20,21). Furthermore, the GLAGOV trial revealed incremental benefits on plaque regression by adding evolocumab, a proprotein convertase subtilisin kexin type 9 inhibitor, to statin treated-patients (22). Furthermore, serial IB-IVUS and near infrared spectroscopy (NIRS)-IVUS studies revealed that even relatively short-term statin therapy could reduce the lipid component, despite no change in the plaque volume (23,24). As a direct link between plaque progression and the clinical outcome was proven by Nicholls et al., evaluating the efficacy of medication on plaque progression has clinical importance (25). However, because IVUS is an invasive approach, the noninvasive assessment of coronary plaque by reproducible CT angiography is desirable. Grayscale IVUS features of plaque attenuation, positive remodeling, and spotty calcification can detect vulnerable plaques responsible for periprocedural myocardial infarction after PCI or future ACS occurrence. Among these features, plaque CT attenuation has shown a correlation with IVUS-derived plaque attenuation in the present study. Previous IVUS studies have demonstrated that IVUS-attenuated plaques were associated with ACS presentation and the no-reflow phenomenon during PCI (14,26). In addition, a pathological study proved that an IVUS-attenuated plaque was the most reliable surrogate marker of high-risk plaque (27). Similarly, a lipid-rich plaque is also considered a key contributing factor to plaque rupture following ACS events. Sano et al. demonstrated the direct relationship between lipid-rich plaque detected by IB-IVUS and future ACS events (10). In the present study, the lipid component detected by IB-IVUS had a significant negative correlation with plaque CT attenuation. Taken together, our findings suggested that the low plaque CT attenuation using this contrast-injection protocol might be able to detect high-risk plaques responsible for future ACS. Similarly, Motoyama et al. showed that CT-based low attenuation plaque was able to predict future ACS events, and the cut-off attenuation value was 30 HU (4). In addition, Harada et al. reported that plaque characterization by CT might be useful for coronary risk stratification (28). However, there is some concern that the CT attenuation of the plaque might be influenced by ununiform intracoronary iodine attenuation. Therefore, the measurement of plaque CT attenuation with the diluted-contrast injection protocol may be more useful for detecting high-risk plaques than other protocols.

Limitations

Several limitations associated with the present study warrant mention. First, this study was a retrospective single-center study with a relatively small sample size. This might influence the impact of the present findings on clinical practice. Second, the present study included some institution and selection biases. We set the CT-based MLA site and target plaque by frame-level matching and excluded heavily calcified plaques, which are difficult to evaluate on CT. The present results therefore might not reflect plaque characteristics as a whole. Third, the evaluation of plaque CT attenuation is not feasible for heavily calcified plaques, and such assessments might not reflect the characteristics of the entire plaque, as the evaluation was only performed at the MLA site. Fourth, given that CT has a limited spatial resolution compared to IVUS, it might be difficult to evaluate distal portions of the plaque. Fifth, we lacked a sufficient number of patients who underwent coronary CT angiography using other contrast injection protocols, since our initial study demonstrated the feasibility of the diluted-contrast injection protocol with regard to the homogeneity of intra-coronary CT attenuation compared to the body-weight-based contrast injection protocol (6). Sixth, there are some concerns about radiation exposure with CT. A 2013 survey in Japan showed that the coronary CT angiography radiation dose was higher than that with routine chest CT (29). The implementation of strategies to reduce CT radiation exposure (e.g. low-tube voltage scanning, retrospective ECG-gated scanning with dose modulation, prospective ECG-gated scanning, and the iterative reconstruction technique) is thus desirable. Finally, we have no direct evidence supporting the relationship between plaque CT attenuation determined by this protocol and future ACS events. To address the issue, longitudinal follow-up studies are needed.

Conclusions

The diluted-contrast injection protocol allows for robust homogenous CT-based plaque characterization. This protocol may be useful in not only the detection but also the management of high-risk plaques non-invasively. The authors state that they have no Conflict of Interest (COI). Yasuhisa Nakao and Kazuki Yoshida contributed equally to this work.
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1.  Insights into echo-attenuated plaques, echolucent plaques, and plaques with spotty calcification: novel findings from comparisons among intravascular ultrasound, near-infrared spectroscopy, and pathological histology in 2,294 human coronary artery segments.

Authors:  Jun Pu; Gary S Mintz; Sinan Biro; Jin-Bae Lee; Stephen T Sum; Sean P Madden; Allen P Burke; Pei Zhang; Ben He; James A Goldstein; Gregg W Stone; James E Muller; Renu Virmani; Akiko Maehara
Journal:  J Am Coll Cardiol       Date:  2014-03-26       Impact factor: 24.094

2.  Development of integrated backscatter intravascular ultrasound for tissue characterization of coronary plaques.

Authors:  Munenori Okubo; Masanori Kawasaki; Yoshiyuki Ishihara; Urara Takeyama; Tomoki Kubota; Takahiko Yamaki; Shinsuke Ojio; Kazuhiko Nishigaki; Genzou Takemura; Masanao Saio; Tsuyoshi Takami; Shinya Minatoguchi; Hisayoshi Fujiwara
Journal:  Ultrasound Med Biol       Date:  2008-02-20       Impact factor: 2.998

Review 3.  Coronary atherosclerosis imaging by coronary CT angiography: current status, correlation with intravascular interrogation and meta-analysis.

Authors:  Szilard Voros; Sarah Rinehart; Zhen Qian; Parag Joshi; Gustavo Vazquez; Collin Fischer; Pallavi Belur; Edward Hulten; Todd C Villines
Journal:  JACC Cardiovasc Imaging       Date:  2011-05

4.  Intravascular ultrasound-derived measures of coronary atherosclerotic plaque burden and clinical outcome.

Authors:  Stephen J Nicholls; Amy Hsu; Kathy Wolski; Bo Hu; Ozgur Bayturan; Andrea Lavoie; Kiyoko Uno; E Murat Tuzcu; Steven E Nissen
Journal:  J Am Coll Cardiol       Date:  2010-05-25       Impact factor: 24.094

5.  2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes.

Authors:  Juhani Knuuti; William Wijns; Antti Saraste; Davide Capodanno; Emanuele Barbato; Christian Funck-Brentano; Eva Prescott; Robert F Storey; Christi Deaton; Thomas Cuisset; Stefan Agewall; Kenneth Dickstein; Thor Edvardsen; Javier Escaned; Bernard J Gersh; Pavel Svitil; Martine Gilard; David Hasdai; Robert Hatala; Felix Mahfoud; Josep Masip; Claudio Muneretto; Marco Valgimigli; Stephan Achenbach; Jeroen J Bax
Journal:  Eur Heart J       Date:  2020-01-14       Impact factor: 29.983

6.  Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study.

Authors:  Shoichi Ehara; Yoshiki Kobayashi; Minoru Yoshiyama; Kenei Shimada; Yoshihisa Shimada; Daiju Fukuda; Yasuhiro Nakamura; Hajime Yamashita; Hiroyuki Yamagishi; Kazuhide Takeuchi; Takahiko Naruko; Kazuo Haze; Anton E Becker; Junichi Yoshikawa; Makiko Ueda
Journal:  Circulation       Date:  2004-11-22       Impact factor: 29.690

7.  Effect of intensive statin therapy on regression of coronary atherosclerosis in patients with acute coronary syndrome: a multicenter randomized trial evaluated by volumetric intravascular ultrasound using pitavastatin versus atorvastatin (JAPAN-ACS [Japan assessment of pitavastatin and atorvastatin in acute coronary syndrome] study).

Authors:  Takafumi Hiro; Takeshi Kimura; Takeshi Morimoto; Katsumi Miyauchi; Yoshihisa Nakagawa; Masakazu Yamagishi; Yukio Ozaki; Kazuo Kimura; Satoshi Saito; Tetsu Yamaguchi; Hiroyuki Daida; Masunori Matsuzaki
Journal:  J Am Coll Cardiol       Date:  2009-07-21       Impact factor: 24.094

8.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
Journal:  Bone Marrow Transplant       Date:  2012-12-03       Impact factor: 5.483

9.  Assessment of vulnerable plaques causing acute coronary syndrome using integrated backscatter intravascular ultrasound.

Authors:  Keiji Sano; Masanori Kawasaki; Yoshiyuki Ishihara; Munenori Okubo; Kunihiko Tsuchiya; Kazuhiko Nishigaki; Xiangrong Zhou; Shinya Minatoguchi; Hiroshi Fujita; Hisayoshi Fujiwara
Journal:  J Am Coll Cardiol       Date:  2006-01-26       Impact factor: 24.094

10.  Attenuated plaque detected by intravascular ultrasound: clinical, angiographic, and morphologic features and post-percutaneous coronary intervention complications in patients with acute coronary syndromes.

Authors:  Sung Yun Lee; Gary S Mintz; Seok-Yeon Kim; Young Joon Hong; Sang Wook Kim; Teruo Okabe; Augusto D Pichard; Lowell F Satler; Kenneth M Kent; William O Suddath; Ron Waksman; Neil J Weissman
Journal:  JACC Cardiovasc Interv       Date:  2009-01       Impact factor: 11.195

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