Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: Coron Artery Dis. 2018 Jan;29(1):23–29. doi: 10.1097/MCA.0000000000000546

Multicenter AIDS Cohort Study (MACS) Quantitative Coronary Plaque Progression Study: Rationale and Design

Rine Nakanishi 1, Wendy S Post 2,7, Kazuhiro Osawa 1, Eranthi Jayawardena 1, Michael Kim 1, Nasim Sheidaee 1, Negin Nezarat 1, Sina Rahmani 1, Nicholas Kim 1, Nicolai Hathiramani 1, Shriraj Susarla 1, Frank Palella 3, Mallory Witt 4, Michael J Blaha 2,5, Todd T Brown 5, Lawrence Kingsley 6, Sabina A Haberlen 7, Christopher Dailing 1, Matthew J Budoff 1
PMCID: PMC5722668  NIHMSID: NIHMS892627  PMID: 28777120

Abstract

Background and Aims

The association of human immunodeficiency virus (HIV) with coronary atherosclerosis has been established; however, the progression of coronary atherosclerosis over time among participants with HIV is not well known. The Multicenter AIDS Cohort Study (MACS) Quantitative Coronary Plaque Progression Study is a large prospective multicenter study quantifying progression of coronary plaque assessed by serial coronary computed tomography angiography (CTA).

Design

HIV-infected and uninfected men who were enrolled in the MACS Cardiovascular substudy were eligible to complete a follow-up contrast coronary CTA 3–6 years after baseline. We measured coronary plaque volume and characteristics (calcified and non-calcified plaque including fibrous, fibrous fatty and low attenuation) and vulnerable plaque among HIV infected and uninfected men using semi-automated plaque software to investigate the progression of coronary atherosclerosis over time.

Summary

We describe a novel, large prospective multicenter study investigating incidence, transition of characteristics, and progression in coronary atherosclerosis quantitatively assessed by serial coronary CTAs among HIV infected and uninfected men.

Keywords: Coronary artery disease, plaque progression, vulnerable plaque, coronary computed tomographic angiography, human immunodeficiency virus

INTRODUCTION

Recent advances in human immunodeficiency virus (HIV) treatment, such as highly active antiretroviral therapy (HAART), have extended life expectancy in HIV infected individuals. HIV is no longer considered a fatal disease and instead has become a chronic disease condition. However, due to immune activation and inflammation from the HIV virus, metabolic abnormalities (i.e. dyslipidemia and insulin resistance) due to antiretroviral medications, and a high prevalence of traditional cardiovascular disease (CVD) risk factors, HIV infected individuals are more likely to have subclinical coronary artery disease (CAD) than those without HIV infection1. This could potentially result in an increase in future CVD risk. There have been a few studies reporting plaque progression measured by carotid ultrasound assessed intima media thickness and focal plaque 2, 3, but we are unaware of any large-scale studies assessing progression of coronary atherosclerotic quantitative plaque volume and composition in HIV-infected and uninfected participants over time.

Coronary computed tomography angiography (CTA) can non-invasively identify the presence, extent and severity of coronary atherosclerosis with high accuracy 4, 5. Recent advances in coronary CTA technology allow extensive detail in regards to coronary atherosclerosis such as plaque characteristics and volumes, which can provide further insight into the pathophysiology of coronary atherosclerosis and its association with future CVD risk 6, 7. We are conducting the MACS Quantitative Coronary Plaque Progression Study to explore the association between HIV and the progression of coronary atherosclerosis in a large, well-characterized study population.

Materials and Methods

Study design

The Multicenter AIDS Cohort Study (MACS) is an ongoing prospective cohort study of the natural and treated histories of HIV infection, conducted at four sites in the U.S (Baltimore, Maryland/Washington D.C.; Chicago, Illinois; Pittsburgh, Pennsylvania; and Los Angeles, California). Begun in 1984, the MACS has enrolled gay and bisexual men with and without HIV infection who are followed through semi-annual study visits. Study visits include standardized interviews, physical examinations, and the collection of blood and other biologic samples. MACS participants underwent baseline coronary CT scans from 2010–2013 in the MACS cardiovascular CT study1. The present study will determine differences in the presence, extent and severity of coronary artery disease (CAD) progression over time by HIV serostatus, among participants who undergo a follow-up CTA between 2015 and 2017 (Figure 1). Each institution obtained Institutional Review Board approval. All participants provided informed consent.

Figure 1.

Figure 1

Schema of the study

Abbreviations: CT-Computed tomography

Study objectives

Primary objective

The MACS cardiovascular CT study previously demonstrated that HIV infected men have a greater prevalence and extent of coronary plaque, particularly non-calcified plaque, compared to HIV uninfected participants 1. The primary objective of the MACS Quantitative Coronary Plaque Progression Study is to investigate whether HIV-infected men have a greater progression of total plaque volumes, both calcified and non-calcified coronary atherosclerosis including fibrous, fibrous-fatty and low attenuation plaque, than HIV uninfected men over a 3–6-year follow-up period. We will evaluate coronary atherosclerosis through the use of semi-automated plaque analysis software, which is a novel method to more accurately identify the characteristics of non-calcified plaque and overall volumes in coronary atherosclerosis 811.

Secondary objective

The secondary objectives of this study are to determine whether HIV infected men have (1) a greater incidence of new non-calcified plaque and/or slower rates of transition from non-calcified to calcified plaque on a per-patient, per-vessel and per-segment basis, and (2) a greater prevalence and incidence of high-risk vulnerable plaques compared to HIV uninfected men. Vulnerable plaque will be defined as plaques with low attenuation, positive remodeling, and spotty calcification. Using the routine data collected during MACS semi-annual research examinations, we will also investigate whether clinical risk factors and medical treatments, such as specific HIV medications or statins, influence the characteristics, incidence and progression of coronary atherosclerosis over time.

Study eligibility

Participant eligibility

Details regarding inclusion and exclusion criteria for the MACS cardiovascular sub-study were described in a prior report 1. In brief, all men were aged between 40 and 70 years, weighing <136kg (300 pounds), and did not have histories of cardiac surgery or coronary interventions at the time of their baseline cardiac CT scan. The CTA had additional exclusion criteria: atrial fibrillation, chronic kidney disease as defined by an estimated glomerular filtration rate <60 mL/min/1.73m2 or allergy to contrast agents. A total of 1006 (n=621 HIV-infected/385 HIV-uninfected) men underwent a ≥ 64-slice non-contrast CT study for CAC scanning between January 2010-November 2013, 765 (453 HIV-infected/312 HIV-uninfected) of whom also completed contrast coronary CTA scanning 1,12. Impaired kidney function was the primary reason for exclusion from CTA at baseline, and the differences in the participants with and without CTA scanning have been described1. Participants with a baseline CTA scan were eligible to undergo a follow-up ≥64-slice coronary CTA scan from 2015–2017 if their estimated glomerular filtration rate was ≥60 mL/min/1.73m2 and they had not experienced a contrast dye allergy. Considering study attrition, deaths, refusals, and incident renal insufficiency, we estimate that ~75% of participants will complete a follow-up coronary CTA, for an anticipated sample size of ~574 men (340 HIV-infected/234 HIV-uninfected).

Participant follow-up

Each site sent recruitment letters to eligible study participants ~3–5 years after their baseline CT scans. A trained MACS research assistant explained the CT progression study during a routine MACS study visit, determined eligibility, answered questions, and obtained informed consent, or recruitment took place by telephone with consent obtain at the CT study visit.

Details regarding collection of participant data on clinical variables has been described previously 1.1. Briefly, clinical demographics, HIV clinical variables (i.e. HIV RNA viral load levels, CD4+ T-cell counts, history of an AIDS-defining cancer or opportunistic infection, and duration of highly active antiretroviral therapy) and blood samples (i.e. fasting glucose, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglyceride and creatinine) were collected every 6 months for general MACS research visits. Serum creatinine was also measured within 30 days of each coronary CTA study to determine scan contrast coronary CTA eligibility. All data is managed at the data center at Johns Hopkins University School of Medicine, Baltimore, Maryland.

Acquisition and interpretation of coronary CTA

All participants in the current serial coronary CTA study underwent ≥ 64 slice coronary CTA at baseline (Lightspeed VCT, GE Healthcare, Milwaukee, WI; Somatom Sensation and Definition CT, Siemens, Forchheim, Germany; Aquilion One, Toshiba, Otawara, Japan) and follow-up (Lightspeed VCT or REVOLUSION, GE Healthcare, Milwaukee, WI; Somatom Sensation and Definition CT, Siemens, Forchheim, Germany; Aquilion One, Toshiba, Otawara, Japan) and non-contrast CT for coronary artery calcium (CAC). If required, an oral and/or intravenous beta-blocker or a calcium channel blocker was administered in order to reach a target heart rate <65 beats/minute. Sublingual nitroglycerin was also administrated prior to IV contrast injection, unless contraindicated.

Scan parameters for non-contrast CT are obtained as follows: prospective electrocardiogram-triggering, 512×512 matrix size, and peak tube voltage of 120 kVp. The contrast cardiac CTA scanning protocols have been previously reported 1, 12. Scanning parameters included: < 1mm slice thickness, ≤ 20mm field of view, 512×512 matrix size, and tube voltage of 120, 100 or 80 kVp (100 or 80 kVp used in participants with a body mass index <25kg/m2). Prospective or retrospective electrocardiogram-triggering is employed.

Coronary CTA image analysis for coronary plaque type and volume

CT images are transferred to the core CT reading center (Harbor UCLA Medical Center, Torrance, California, USA) and analyzed by trained, experienced readers blinded to participant characteristics and HIV serostatus. Coronary CTA scans are assessed using a 17-segment American Heart Association coronary tree model in accordance with the Society of Cardiovascular Computed Tomography guidelines 13. Experienced readers evaluate coronary CTAs for the presence, characteristics and volume in coronary plaques using a semi-automated quantitative plaque analysis software (QAngioCT Research Edition version 3.0.37, Medis medical imaging systems, Leiden, The Netherlands) (Figures 24). The software automatically extracts centerlines and performs automated detection of the inner lumen and vessel wall contours from the ostium to the distal end of each artery and straightens the multiplanar reformatted images. The contours for the coronary lumen or vessel are manually modified when necessary. In order to visualize the lumen, vessel and plaque, 740 and 220 Hounsfield units (HU) are used for window and width levels 14. Vessel and plaque volumes are measured in segments with sufficient image quality and with a lumen diameter ≥1.5 mm. Vessel length is defined as the length of coronary arteries in measured segments. If participants underwent coronary intervention during follow-up, segments with stents are excluded from the analyses. Since the attenuation of coronary plaque is influenced by lumen contrast intensity, coronary plaque including non-calcified plaque (fibrous, fibrous-fatty and low attenuation plaque [LAP]) and calcified plaque are defined based upon plaque densities, which are adjusted to lumen contrast intensity 15.

Figure 2.

Figure 2

Sample of the new plaque formation in the right coronary artery. No plaque was detected at baseline on straightened multi-planar reformat (A) and cross-sectional images (B). Five years later, new plaque was formed in the proximal segment on straightened multi-planar reformat (C) and cross-sectional images (D).

Figure 4.

Figure 4

Sample of the vulnerable plaque overtime in the right coronary artery. Positive remodeling and large area of plaque were detected at baseline on straightened multi-planar reformat (A) and cross-sectional images (B). In 5 years, the characteristics and volumes in plaques at the proximal segment were slightly changed overtime [straightened multi-planar reformat (C) and cross-sectional images (D]).

To accurately assess serial coronary CTAs for the determination of plaque progression, we match the location and length of each segment between baseline and follow-up to compare the progression in coronary atherosclerosis at a per-patient, per-vessel and per-segment levels. Vulnerable plaque is defined as fulfilling two of these three criteria: a plaque with remodeling index >1.1, spotty calcification and presence of low attenuation plaque (LAP) 16. As previously reported 16, spotty calcifications are defined as calcifications in non-calcified plaque, with length <3 mm and arc of ≤90 degrees. Coronary arterial remodeling is defined as a remodeling index (lesion diameter/reference diameter) greater than 1.1. Hounsfield Unit (HU) <30 within the non-calcified plaque is manually measured and is used to determine the presence of LAP 16, 17.

Statistical methods

Clinical and demographic characteristics will be compared between HIV- and HIV+ participants, using the Chi-square or Wilcoxon rank-sum tests. Incident plaque progression will be described by HIV serostatus at the individual, vessel, and coronary artery segment level. Per-patient, per-vessel, and per-segment analyses will be conducted to demonstrate the differences in plaque characteristics, volume and change over time. Univariable and multivariable regression analyses will be used to determine if HIV infection is associated with each plaque progression outcome, using Poisson models for incident dichotomous outcomes and linear or generalized Gamma models for continuous outcomes. Analyses will account for inter-scan duration. Per-segment and per-vessel analyses will adjust for correlation within individuals. We will also investigate whether clinical risk factors and medical treatments influence the characteristics, incidence and progression of coronary atherosclerosis over time, as covariates in the multivariable regression models. Sensitivity analyses will be conducted to assess the robustness of the associations between HIV and plaque progression under varying assumptions.

DISCUSSION

The MACS Quantitative Coronary Plaque Progression Study is a novel, prospective multicenter study investigating the progression of coronary atherosclerosis among HIV-infected compared to uninfected men. We have enrolled >540 participants who have returned 3–6 years after their baseline scan to undergo a second coronary CTA. This is the largest study, to our knowledge, of coronary CTA in a cohort that includes both HIV+ and HIV− participants who undergo serial coronary CTA examinations.

Recent advances in coronary CTA software have applied time-saving, accurate methods to evaluate coronary plaque volume by semi-automated quantitative CT analysis. Studies demonstrate accurate evaluations of plaque volume between readers, and also when compared to intravenous ultrasound (IVUS) 811. Coronary CTA is a non-invasive modality that can illustrate the entire heart with a 3-dimentional image, allowing visualization of all coronary arteries with immense detail in order to determine overall atherosclerosis burden, as well as its progression over time. IVUS is generally utilized for measuring limited coronary segments, and is generally utilized in high risk patients who clinically require invasive coronary angiography. Serial IVUS studies performed for research purposes are not usually performed in low CVD risk research participants.

Recent studies indicate that clinical risk factors are associated with overall plaque volume on coronary CTA quantitatively measured by semi-automated software 18 as well as progression in plaque characteristics and volume 19. Also, changes in plaque volume and characteristics on serial coronary CTA studies associated with pharmacologic therapies have been reported 2023. These studies suggest that non-invasive assessment by coronary CTA scans may be an alternative and more practical method for the identification of plaque progression and characteristics than IVUS. In this regard, the assessment in plaque volume by coronary CTAs could potentially aid in monitoring risk factors and therapies to stabilize coronary atherosclerosis 14.

The current study will also analyze longitudinal effects of HIV medications, statins and clinical factors on coronary atherosclerosis and plaque composition. These data may help to determine effective CVD prevention approaches in HIV patients. In a recent small study of 40 HIV patients, statin therapy reduced non-calcified plaque volume and high risk plaque features measured by coronary CTA scans over time 24. The current primary prevention guidelines for the general population suggest that statin therapy is appropriate for consideration in asymptomatic patients with 10 year atherosclerotic cardiovascular disease risk >7.5% 25. Although adverse side effects of statins are infrequent, it still remains unclear whether statins should be routinely prescribed to the HIV population, as the prevalence of statin hepatotoxicity is not well documented, especially in those with liver dysfunction, and statin medications have the potential to interact with some anti-retroviral therapies. The Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE) is ongoing to examine whether statin use reduces the risk of CVD events in HIV-infected patients and will also include a longitudinal coronary CT substudy (ClinicalTrials.gov. NCT02344290). The goal of the MACS Quantitative Coronary Plaque Progression Study is to provide insight regarding the association between HIV, its clinical risk factors and progression in coronary atherosclerosis. These results may help to understand the underlying pathophysiology, as well as identify potentially effective treatments for future study in HIV patients to help prevent future CVD events.

Limitation

The clinical indications for coronary CTA in asymptomatic individuals is still unclear. Although a few studies have indicated the clinical utility of coronary CTA for assessing risk in asymptomatic patients 26, 27, its routine use is uncertain. However, there have been no studies conducted to investigate if coronary plaque characteristics, burden and its change are associated with future adverse cardiac events, which as a result may potentially provide further insight into the identification of risk among the asymptomatic high risk population. In addition, this study includes radiation exposure, generally <6 milliseiverts (mSv) for total of contrast and noncontrast cardiac CT scans; however, current advances in technology have allowed coronary CTA scans to reach low radiation doses within 1–2 mSv, and even <1mSv 28, which is equal or even lower than that for non-contrast CT in evaluating CAC among asymptomatic individuals. Lastly, we use a manual method for identifying LAP to determine vulnerable plaque as reported previously17. The quantitative identification of LAP by automated software may more accurately determine vulnerable plaque; however, this technology is not currently available.

Conclusion

The MACS Quantitative Coronary Plaque Progression Study is designed to explore the association between HIV, clinical characteristics and the progression in coronary atherosclerosis. This large cohort study including HIV-infected and uninfected men who undergo serial coronary CTA scans can provide pathophysiological insights about coronary atherosclerosis in HIV participants.

New Knowledge Gained

The current study examining the association between coronary plaque characteristics, burden and its change could potentially provide further insight into the mechanisms of cardiovascular risk among the asymptomatic HIV population.

Figure 3.

Figure 3

Sample of the change in plaque characteristics in the left circumflex. Non-calcified plaque including fibrous, fibrous fatty and low attenuation was detected in the proximal segment at baseline on straightened multi-planar reformat (A) and cross-sectional images (B). Four years later, the non-calcified plaque converted to more calcified plaque [straightened multi-planar reformat (C) and cross-sectional images (D]).

Acknowledgments

We thank Dr. Indre Ceponiene, Dr. Mitsuru Kanisawa, Amit Johanis, Dinah D’Silva, Badiha Fatima, Iliana Golub, Alexander Johnson, and Dr. Dev Patel for their assistance with measurements and data management.

This study was funded by the National Heart, Lung, and Blood Institute (R01 HL095129 and R01HL125053 to Dr. Post), with additional support from the National Center for Advancing Translational Sciences, a component of the National Institutes of Health and National Institutes of Health Roadmap for Medical Research (grant UL1 RR 025005). The MACS is funded by the National Institute of Allergy and Infectious Disease, with additional supplemental funding from the National Cancer Institute (grants UO1-AI-35042, UL1-RR025005, UM1-AI-35043, UO1-AI-35039, UO1-AI-3540 and UO1-AI-35041).

Abbreviations

Coronary CTA

Coronary computed tomographic angiography

CAD

Coronary artery disease

CVD

Cardiovascular disease

HIV

Human immunodeficiency virus

Footnotes

Conflict of Interest disclosure statement

Dr. Matthew Budoff receives grant support from General Electric. Dr. Palella is a consultant and Speakers Bureau for Gilead Sciences, Janssen Pharmaceuticals, Merck and Bristol Myers Squibb. Dr. Jacobson receives grant support from National Institute of Health. Dr. Post receives grant support from National Institute of Health. The other authors have no conflict of interest.

References

  • 1.Post WS, Budoff M, Kingsley L, Palella FJ, Jr, Witt MD, Li X, George RT, Brown TT, Jacobson LP. Associations between HIV infection and subclinical coronary atherosclerosis. Ann Intern Med. 2014;160:458–67. doi: 10.7326/M13-1754. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hsue PY, Scherzer R, Hunt PW, Schnell A, Bolger AF, Kalapus SC, Maka K, Martin JN, Ganz P, Deeks SG. Carotid Intima-Media Thickness Progression in HIV-Infected Adults Occurs Preferentially at the Carotid Bifurcation and Is Predicted by Inflammation. J Am Heart Assoc. 2012 Apr;1(2) doi: 10.1161/JAHA.111.000422. pii: jah3-e000422. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Lucas GM, Atta MG, Fine DM, McFall AM, Estrella MM, Zook K, Stein JH. HIV, Cocaine Use, and Hepatitis C Virus: A Triad of Nontraditional Risk Factors for Subclinical Cardiovascular Disease. Arterioscler Thromb Vasc Biol. 2016;36:2100–7. doi: 10.1161/ATVBAHA.116.307985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, Scherer M, Bellinger R, Martin A, Benton R, Delago A, Min JK. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. Journal of the American College of Cardiology. 2008;52:1724–32. doi: 10.1016/j.jacc.2008.07.031. [DOI] [PubMed] [Google Scholar]
  • 5.Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, Nieman K, van Werkhoven JM, Pundziute G, Weustink AC, de Vos AM, Pugliese F, Rensing B, Jukema JW, Bax JJ, Prokop M, Doevendans PA, Hunink MG, Krestin GP, de Feyter PJ. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. Journal of the American College of Cardiology. 2008;52:2135–44. doi: 10.1016/j.jacc.2008.08.058. [DOI] [PubMed] [Google Scholar]
  • 6.Motoyama S, Ito H, Sarai M, Kondo T, Kawai H, Nagahara Y, Harigaya H, Kan S, Anno H, Takahashi H, Naruse H, Ishii J, Hecht H, Shaw LJ, Ozaki Y, Narula J. Plaque Characterization by Coronary Computed Tomography Angiography and the Likelihood of Acute Coronary Events in Mid-Term Follow-Up. Journal of the American College of Cardiology. 2015;66:337–46. doi: 10.1016/j.jacc.2015.05.069. [DOI] [PubMed] [Google Scholar]
  • 7.Kristensen TS, Kofoed KF, Kuhl JT, Nielsen WB, Nielsen MB, Kelbaek H. Prognostic implications of nonobstructive coronary plaques in patients with non-ST-segment elevation myocardial infarction: a multidetector computed tomography study. Journal of the American College of Cardiology. 2011;58:502–9. doi: 10.1016/j.jacc.2011.01.058. [DOI] [PubMed] [Google Scholar]
  • 8.Dey D, Cheng VY, Slomka PJ, Nakazato R, Ramesh A, Gurudevan S, Germano G, Berman DS. Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography. Journal of cardiovascular computed tomography. 2009;3:372–82. doi: 10.1016/j.jcct.2009.09.004. [DOI] [PubMed] [Google Scholar]
  • 9.Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. Radiology. 2010;257:516–22. doi: 10.1148/radiol.10100681. [DOI] [PubMed] [Google Scholar]
  • 10.Park HB, Lee BK, Shin S, Heo R, Arsanjani R, Kitslaar PH, Broersen A, Dijkstra J, Ahn SG, Min JK, Chang HJ, Hong MK, Jang Y, Chung N. Clinical Feasibility of 3D Automated Coronary Atherosclerotic Plaque Quantification Algorithm on Coronary Computed Tomography Angiography: Comparison with Intravascular Ultrasound. European radiology. 2015;25:3073–83. doi: 10.1007/s00330-015-3698-z. [DOI] [PubMed] [Google Scholar]
  • 11.Papadopoulou SL, Garcia-Garcia HM, Rossi A, Girasis C, Dharampal AS, Kitslaar PH, Krestin GP, de Feyter PJ. Reproducibility of computed tomography angiography data analysis using semiautomated plaque quantification software: implications for the design of longitudinal studies. The international journal of cardiovascular imaging. 2013;29:1095–104. doi: 10.1007/s10554-012-0167-5. [DOI] [PubMed] [Google Scholar]
  • 12.Hacioglu Y, Gupta M, Choi TY, George RT, Deible CR, Jacobson LP, Witt MD, Palella FJ, Post WS, Budoff MJ. Use of cardiac CT angiography imaging in an epidemiology study - the Methodology of the Multicenter AIDS Cohort Study cardiovascular disease substudy. Anadolu Kardiyol Derg. 2013;13:207–14. doi: 10.5152/akd.2013.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GJ, Nieman K, Pontone G, Raff GL. SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee. Journal of cardiovascular computed tomography. 2014;8:342–58. doi: 10.1016/j.jcct.2014.07.003. [DOI] [PubMed] [Google Scholar]
  • 14.Papadopoulou SL, Neefjes LA, Garcia-Garcia HM, Flu WJ, Rossi A, Dharampal AS, Kitslaar PH, Mollet NR, Veldhof S, Nieman K, Stone GW, Serruys PW, Krestin GP, de Feyter PJ. Natural history of coronary atherosclerosis by multislice computed tomography. JACC Cardiovascular imaging. 2012;5:S28–37. doi: 10.1016/j.jcmg.2012.01.009. [DOI] [PubMed] [Google Scholar]
  • 15.de Graaf MA, Broersen A, Kitslaar PH, Roos CJ, Dijkstra J, Lelieveldt BP, Jukema JW, Schalij MJ, Delgado V, Bax JJ, Reiber JH, Scholte AJ. Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology. The international journal of cardiovascular imaging. 2013;29:1177–90. doi: 10.1007/s10554-013-0194-x. [DOI] [PubMed] [Google Scholar]
  • 16.Motoyama S, Kondo T, Sarai M, Sugiura A, Harigaya H, Sato T, Inoue K, Okumura M, Ishii J, Anno H, Virmani R, Ozaki Y, Hishida H, Narula J. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. Journal of the American College of Cardiology. 2007;50:319–26. doi: 10.1016/j.jacc.2007.03.044. [DOI] [PubMed] [Google Scholar]
  • 17.Motoyama S, Kondo T, Anno H, Sugiura A, Ito Y, Mori K, Ishii J, Sato T, Inoue K, Sarai M, Hishida H, Narula J. Atherosclerotic plaque characterization by 0.5-mm-slice multislice computed tomographic imaging. Circulation journal: official journal of the Japanese Circulation Society. 2007;71:363–6. doi: 10.1253/circj.71.363. [DOI] [PubMed] [Google Scholar]
  • 18.Rodriguez K, Kwan AC, Lai S, Lima JA, Vigneault D, Sandfort V, Pattanayak P, Ahlman MA, Mallek M, Sibley CT, Bluemke DA. Coronary Plaque Burden at Coronary CT Angiography in Asymptomatic Men and Women. Radiology. 2015;277:73–80. doi: 10.1148/radiol.2015142551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Nakanishi R, Ceponiene I, Osawa K, Luo Y, Kanisawa M, Megowan N, Nezarat N, Rahmani S, Broersen A, Kitslaar PH, Dailing C, Budoff MJ. Plaque progression assessed by a novel semi-automated quantitative plaque software on coronary computed tomography angiography between diabetes and non-diabetes patients: A propensity-score matching study. Atherosclerosis. 2016;255:73–79. doi: 10.1016/j.atherosclerosis.2016.11.004. [DOI] [PubMed] [Google Scholar]
  • 20.Budoff MJ, Ellenberg SS, Lewis CE, Mohler ER, 3rd, Wenger NK, Bhasin S, Barrett-Connor E, Swerdloff RS, Stephens-Shields A, Cauley JA, Crandall JP, Cunningham GR, Ensrud KE, Gill TM, Matsumoto AM, Molitch ME, Nakanishi R, Nezarat N, Matsumoto S, Hou X, Basaria S, Diem SJ, Wang C, Cifelli D, Snyder PJ. Testosterone Treatment and Coronary Artery Plaque Volume in Older Men With Low Testosterone. JAMA. 2017;317(7):708–716. doi: 10.1001/jama.2016.21043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Matsumoto S, Ibrahim R, Gregoire JC, L’Allier PL, Pressacco J, Tardif JC, Budoff MJ. Effect of treatment with 5-lipoxygenase inhibitor VIA-2291 (atreleuton) on coronary plaque progression: a serial CT angiography study. Clin Cardiol. 2017;40(4):210–215. doi: 10.1002/clc.22646. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Zeb I, Li D, Nasir K, Malpeso J, Batool A, Flores F, Dailing C, Karlsberg RP, Budoff M. Effect of statin treatment on coronary plaque progression - a serial coronary CT angiography study. Atherosclerosis. 2013;231:198–204. doi: 10.1016/j.atherosclerosis.2013.08.019. [DOI] [PubMed] [Google Scholar]
  • 23.Inoue K, Motoyama S, Sarai M, Sato T, Harigaya H, Hara T, Sanda Y, Anno H, Kondo T, Wong ND, Narula J, Ozaki Y. Serial coronary CT angiography-verified changes in plaque characteristics as an end point: evaluation of effect of statin intervention. JACC Cardiovascular imaging. 2010;3:691–8. doi: 10.1016/j.jcmg.2010.04.011. [DOI] [PubMed] [Google Scholar]
  • 24.Lo J, Lu MT, Ihenachor EJ, Wei J, Looby SE, Fitch KV, Oh J, Zimmerman CO, Hwang J, Abbara S, Plutzky J, Robbins G, Tawakol A, Hoffmann U, Grinspoon SK. Effects of statin therapy on coronary artery plaque volume and high-risk plaque morphology in HIV-infected patients with subclinical atherosclerosis: a randomised, double-blind, placebo-controlled trial. The lancet HIV. 2015;2:e52–63. doi: 10.1016/S2352-3018(14)00032-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Stone NJ, Robinson J, Lichtenstein AH, Bairey Merz CN, Lloyd-Jones DM, Blum CB, McBride P, Eckel RH, Schwartz JS, Goldberg AC, Shero ST, Gordon D, Smith SC, Jr, Levy D, Watson K, Wilson PW. ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Journal of the American College of Cardiology. 2013;2013 doi: 10.1016/j.jacc.2013.11.002. [DOI] [PubMed] [Google Scholar]
  • 26.Min JK, Labounty TM, Gomez MJ, Achenbach S, Al-Mallah M, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Cheng V, Chinnaiyan KM, Chow B, Cury R, Delago A, Dunning A, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann P, Kim YJ, Leipsic J, Lin FY, Maffei E, Raff G, Shaw LJ, Villines TC, Berman DS. Incremental prognostic value of coronary computed tomographic angiography over coronary artery calcium score for risk prediction of major adverse cardiac events in asymptomatic diabetic individuals. Atherosclerosis. 2014;232:298–304. doi: 10.1016/j.atherosclerosis.2013.09.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Cho I, Chang HJ, BOH, Shin S, Sung JM, Lin FY, Achenbach S, Heo R, Berman DS, Budoff MJ, Callister TQ, Al-Mallah MH, Cademartiri F, Chinnaiyan K, Chow BJ, Dunning AM, DeLago A, Villines TC, Hadamitzky M, Hausleiter J, Leipsic J, Shaw LJ, Kaufmann PA, Cury RC, Feuchtner G, Kim YJ, Maffei E, Raff G, Pontone G, Andreini D, Min JK. Incremental prognostic utility of coronary CT angiography for asymptomatic patients based upon extent and severity of coronary artery calcium: results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFIRM) study. European heart journal. 2015;36:501–8. doi: 10.1093/eurheartj/ehu358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Achenbach S, Goroll T, Seltmann M, Pflederer T, Anders K, Ropers D, Daniel WG, Uder M, Lell M, Marwan M. Detection of coronary artery stenoses by low-dose, prospectively ECG-triggered, high-pitch spiral coronary CT angiography. JACC Cardiovascular imaging. 2011;4:328–37. doi: 10.1016/j.jcmg.2011.01.012. [DOI] [PubMed] [Google Scholar]

RESOURCES