Reporting trends and clinical impact of high-risk coronary plaques on cardiac CT angiography in CAD-RADS

Naghavi M, Libby P, Falk E et al (2003) From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I. Circulation 108:1664–1672

Google Scholar 

Stefanadis C, Antoniou CK, Tsiachris D, Pietri P (2017) Coronary atherosclerotic vulnerable plaque: current perspectives. J Am Heart Assoc 6:e005543

Google Scholar 

Virmani R, Burke AP, Farb A, Kolodgie FD (2006) Pathology of the vulnerable plaque. J Am Coll Cardiol 47:C13–C18

CAS  Google Scholar 

Virmani R, Kolodgie FD, Burke AP, Farb A, Schwartz SM (2000) Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions. Arterioscler Thromb Vasc Biol 20:1262–1275

CAS  Google Scholar 

Bom MJ, van der Heijden DJ, Kedhi E et al (2017) Early detection and treatment of the vulnerable coronary plaque: can we prevent acute coronary syndromes? Circ Cardiovasc Imaging 10:e005973

Google Scholar 

Batty JA, Subba S, Luke P, Gigi LWC, Sinclair H, Kunadian V (2016) Intracoronary imaging in the detection of vulnerable plaques. Curr Cardiol Rep 18:28

Google Scholar 

Koskinas KC, Ughi GJ, Windecker S, Tearney GJ, Räber L (2016) Intracoronary imaging of coronary atherosclerosis: validation for diagnosis, prognosis and treatment. Eur Heart J 37:524–535a-c

Google Scholar 

Fujii K, Hao H, Shibuya M et al (2015) Accuracy of OCT, grayscale IVUS, and their combination for the diagnosis of coronary TCFA: an ex vivo validation study. JACC Cardiovasc Imaging 8:451–460

Google Scholar 

Tzimas G, Gulsin GS, Takagi H et al (2022) Coronary CT angiography to guide percutaneous coronary intervention. Radiol Cardiothorac Imaging 4:e210171

Google Scholar 

Shaw LJ, Blankstein R, Bax JJ et al (2021) Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging—expert consensus document on coronary CT imaging of atherosclerotic plaque. J Cardiovasc Comput Tomogr 15:93–109

Google Scholar 

Ferencik M, Mayrhofer T, Bittner DO et al (2018) Use of high-risk coronary atherosclerotic plaque detection for risk stratification of patients with stable chest pain: a secondary analysis of the PROMISE randomized clinical trial. JAMA Cardiol 3:144–152

Google Scholar 

Williams MC, Kwiecinski J, Doris M et al (2020) Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction: results from the multicenter SCOT-HEART trial (Scottish Computed Tomography of the HEART). Circulation 141:1452–1462

CAS  Google Scholar 

Puchner SB, Liu T, Mayrhofer T et al (2014) High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. J Am Coll Cardiol 64:684–692

Google Scholar 

Cury RC, Leipsic J, Abbara S et al (2022) CAD-RADS™ 2.0—2022 Coronary Artery Disease-Reporting and Data System: an expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr 16:536–557

Google Scholar 

Williams MC, Moss AJ, Dweck M et al (2019) Coronary artery plaque characteristics associated with adverse outcomes in the SCOT-HEART study. J Am Coll Cardiol 73:291–301

Google Scholar 

Finck T, Stojanovic A, Will A et al (2020) Long-term prognostic value of morphological plaque features on coronary computed tomography angiography. Eur Heart J Cardiovasc Imaging 21:237–248

Google Scholar 

Takigami AK, Thondapu V, Goiffon RJ et al (2021) Coronary Artery Disease Reporting and Data System (CAD-RADS) adoption: analysis of local trends in a large academic medical center. Radiol Cardiothorac Imaging 3:e210016

Google Scholar 

Tomaniak M, Katagiri Y, Modolo R et al (2020) Vulnerable plaques and patients: state-of-the-art. Eur Heart J 41:2997–3004

Google Scholar 

Cury RC, Abbara S, Achenbach S et al (2016) CAD-RADS(TM) Coronary Artery Disease-Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr 10:269–281

Google Scholar 

Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15:827–832.

CAS  Google Scholar 

Genders TS, Steyerberg EW, Alkadhi H et al (2011) A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension. Eur Heart J 32:1316–1330

Google Scholar 

Task Force M, Montalescot G, Sechtem U et al (2013) 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J 34:2949–3003

Google Scholar 

Suh YJ, Kim YJ, Hong SR et al (2013) Combined use of automatic tube potential selection with tube current modulation and iterative reconstruction technique in coronary CT angiography. Radiology 269:722–729

Google Scholar 

Thygesen K, Alpert JS, Jaffe AS et al (2018) Fourth universal definition of myocardial infarction (2018). Circulation 138:e618–e651

Google Scholar 

Osborne-Grinter M, Kwiecinski J, Doris M et al (2022) Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial. Eur Heart J Cardiovasc Imaging 23:1210–1221

Google Scholar 

Budoff MJ, Mayrhofer T, Ferencik M et al (2017) Prognostic value of coronary artery calcium in the PROMISE study (prospective multicenter imaging study for evaluation of chest pain). Circulation 136:1993–2005

CAS  Google Scholar 

Basha MAA, Aly SA, Ismail AAA, Bahaaeldin HA, Shehata SM (2019) The validity and applicability of CAD-RADS in the management of patients with coronary artery disease. Insights Imaging 10:117

Google Scholar 

Maroules CD, Hamilton-Craig C, Branch K et al (2018) Coronary artery disease reporting and data system (CAD-RADS(TM)): inter-observer agreement for assessment categories and modifiers. J Cardiovasc Comput Tomogr 12:125–130

Google Scholar 

Abdel Razek AAK, Elrakhawy MM, Yossof MM, Nageb HM (2018) Inter-observer agreement of the Coronary Artery Disease Reporting and Data System (CAD-RADSTM) in patients with stable chest pain. Pol J Radiol 83:e151–e159

Google Scholar 

Nishimura RA, Otto CM, Bonow RO et al (2014) 2014 AHA/ACC guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 129:2440–2492

Google Scholar 

Beach JM, Mihaljevic T, Svensson LG et al (2013) Coronary artery disease and outcomes of aortic valve replacement for severe aortic stenosis. J Am Coll Cardiol 61:837–848

Google Scholar 

Höllriegel R, Linke A, Hochadel M et al (2013) Impact of coronary artery disease on in-hospital mortality in patients with aortic valve disease. Results from the German ALKK registry. Herz 38:387–390

Google Scholar 

Arbab-Zadeh A, Fuster V (2019) From detecting the vulnerable plaque to managing the vulnerable patient: JACC state-of-the-art review. J Am Coll Cardiol 74:1582–1593

Google Scholar 

Kato K, Yonetsu T, Kim SJ et al (2012) Nonculprit plaques in patients with acute coronary syndromes have more vulnerable features compared with those with non-acute coronary syndromes: a 3-vessel optical coherence tomography study. Circ Cardiovasc Imaging 5:433–440

Google Scholar 

Rioufol G, Finet G, Ginon I et al (2002) Multiple atherosclerotic plaque rupture in acute coronary syndrome: a three-vessel intravascular ultrasound study. Circulation 106:804–808

CAS  Google Scholar 

Cha MJ, Kim WD, Won H et al (2022) Nationwide trends of gatekeeper to invasive coronary angiography in suspected coronary artery disease. Korean Circ J 52:814–825

Google Scholar 

Chang HJ, Lin FY, Gebow D et al (2019) Selective referral using CCTA versus direct referral for individuals referred to invasive coronary angiography for suspected CAD: a randomized, controlled, open-label trial. JACC Cardiovasc Imaging 12:1303–1312

Google Scholar 

Ahmadi A, Leipsic J, Ovrehus KA et al (2018) Lesion-specific and vessel-related determinants of fractional flow reserve beyond coronary artery stenosis. JACC Cardiovasc Imaging 11:521–530

Google Scholar 

Kim C, Hong SJ, Ahn CM et al (2018) Clinical implications of moderate coronary stenosis on coronary computed tomography angiography in patients with stable angina. Yonsei Med J 59:937–944

Google Scholar 

Lee SE, Chang HJ, Sung JM et al (2018) Effects of statins on coronary atherosclerotic plaques: the PARADIGM study. JACC Cardiovasc Imaging 11:1475–1484

Google Scholar 

Hattori K, Ozaki Y, Ismail TF et al (2012) Impact of statin therapy on plaque characteristics as assessed by serial OCT, grayscale and integrated backscatter-IVUS. JACC Cardiovasc Imaging 5:169–177

Google Scholar 

Park HB, Arsanjani R, Sung JM et al (2023) Impact of statins based on high-risk plaque features on coronary plaque progression in mild stenosis lesions: results from the PARADIGM study. Eur Heart J Cardiovasc Imaging 24:1536–1543

Google Scholar 

Comments (0)

No login
gif