Current Status of Cardiac CT for Nuclear Medicine Professionals: Coronary Artery Disease Evaluation

Roth GA, Huffman MD, Moran AE, Feigin V, Mensah GA, Naghavi M, et al. Global and regional patterns in cardiovascular mortality from 1990 to 2013. Circulation. 2015;132:1667–78.

Cury RC, Leipsic J, Abbara S, Berman D, Bittencourt M, Budoff M, et al. 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. 2022;16:536–57.

Sirajuddin A, Mirmomen SM, Kligerman SJ, Groves DW, Burke AP, Kureshi F, et al. Ischemic heart disease: noninvasive imaging techniques and findings. Radiographics. 2021;41:990–1021.

Article  PubMed  Google Scholar 

Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, AHA/ACC/ASE/CHEST et al. /SAEM/SCCT/SCMR Guideline for the evaluation and diagnosis of chest pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2021;78:e187–285.

Rodriguez-Granillo GA. Delayed enhancement cardiac computed tomography for the assessment of myocardial infarction: from bench to bedside. Cardiovasc Diagn Ther. 2017;7:159–70.

Article  PubMed  PubMed Central  Google Scholar 

Hecht HS. Coronary artery calcium scanning: past, present, and future. JACC Cardiovasc Imaging. 2015;8:579–96.

Article  PubMed  Google Scholar 

Budoff MJ, Hokanson JE, Nasir K, Shaw LJ, Kinney GL, Chow D, et al. Progression of coronary artery calcium predicts all-cause mortality. JACC Cardiovasc Imaging. 2010;3:1229–36.

Article  PubMed  Google Scholar 

Grandhi GR, Mirbolouk M, Dardari ZA, Al-Mallah MH, Rumberger JA, Shaw LJ, et al. Interplay of coronary artery calcium and risk factors for predicting CVD/CHD mortality: the CAC Consortium. JACC Cardiovasc Imaging. 2020;13:1175–86.

Article  PubMed  Google Scholar 

Greenland P, Blaha MJ, Budoff MJ, Erbel R, Watson KE. Coronary calcium score and cardiovascular risk. J Am Coll Cardiol. 2018;72:434–47.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Blaha M, Budoff MJ, Shaw LJ, Khosa F, Rumberger JA, Berman D, et al. Absence of coronary artery calcification and all-cause mortality. JACC Cardiovasc Imaging. 2009;2:692–700.

Article  PubMed  Google Scholar 

Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, et al. 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. J Am Coll Cardiol. 2008;52:1724–32.

Article  PubMed  Google Scholar 

Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008;52:2135–44.

Article  PubMed  Google Scholar 

Machida H, Tanaka I, Fukui R, Shen Y, Ishikawa T, Tate E, et al. Current and novel imaging techniques in coronary CT. Radiographics. 2015;35:991–1010.

Article  PubMed  Google Scholar 

Taylor AJ, Cerqueira M, Hodgson JM, Mark D, Min J, O’Gara, ASE/ASNC/NASCI/SCAI/, et al. SCMR 2010 appropriate use criteria for cardiaccomputed tomography. A report of the American College of Cardiology Foundation AppropriateUse Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and interventions, and the Society for Cardiovascular Magnetic Resonance. Circulation. 2010;122:e525–55.

PubMed  Google Scholar 

Members TF, Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, et al. 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. 2013;34:2949–3003.

Article  Google Scholar 

Moss AJ, Williams MC, Newby DE, Nicol ED. The updated NICE guidelines: cardiac CT as the first-line test for coronary artery disease. Curr Cardiovasc Imaging Rep. 2017;10:15.

Article  PubMed  PubMed Central  Google Scholar 

Gaur S, Øvrehus KA, Dey D, Leipsic J, Bøtker HE, Jensen JM, et al. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions. Eur Heart J. 2016;37:1220–27.

Article  PubMed  PubMed Central  Google Scholar 

Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F. van’ t Veer M, Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med. 2009;360:213–24.

Park HB, Heo R, ó Hartaigh B, Cho I, Gransar H, Nakazato R, et al. Atherosclerotic plaque characteristics by CT angiography identify coronary lesions that cause ischemia: a direct comparison to fractional flow reserve. JACC Cardiovasc Imaging. 2015;8:1–10.

Article  PubMed  PubMed Central  Google Scholar 

Nakazato R, Shalev A, Doh JH, Koo BK, Gransar H, Gomez MJ, et al. Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity. J Am Coll Cardiol. 2013;62:460–7.

Article  PubMed  Google Scholar 

Driessen RS, Stuijfzand WJ, Raijmakers PG, Danad I, Min JK, Leipsic JA, et al. Effect of plaque burden and morphology on myocardial blood flow and fractional flow reserve. J Am Coll Cardiol. 2018;71:499–509.

Article  PubMed  Google Scholar 

Abdelrahman KM, Chen MY, Dey AK, Virmani R, Finn AV, Khamis RY, et al. Coronary computed tomography angiography from clinical uses to emerging technologies: JACC State-of-the-art review. J Am Coll Cardiol. 2020;76:1226–43.

Article  PubMed  PubMed Central  Google Scholar 

Gould KL, Lipscomb K, Hamilton GW. Physiologic basis for assessing critical coronary stenosis. Instantaneous flow response and regional distribution during coronary hyperemia as measures of coronary flow reserve. Am J Cardiol. 1974;33:87–94.

Article  CAS  PubMed  Google Scholar 

Stillman AE, Oudkerk M, Bluemke DA, de Boer MJ, Bremerich J, Garcia EV, et al. Imaging the myocardial ischemic cascade. Int J Cardiovasc Imaging. 2018;34:1249–63.

Article  PubMed  Google Scholar 

Ko SM, Hwang HK, Kim SM, Cho IH. Multi-modality imaging for the assessment of myocardial perfusion with emphasis on stress perfusion CT and MR imaging. Int J Cardiovasc Imaging. 2015;31(Suppl 1):1–21.

Article  PubMed  Google Scholar 

Yang DH, Kim YH. CT myocardial perfusion imaging: current status and future perspectives. Int J Cardiovasc Imaging. 2017;33:1009–20.

Article  PubMed  Google Scholar 

Dodd JD, Leipsic JA. Evolving developments in cardiac CT. Radiology. 2023;307:e222827.

Article  PubMed  Google Scholar 

Nieman K, Balla S. Dynamic CT myocardial perfusion imaging. J Cardiovasc Comput Tomogr. 2020;14:303–6.

Article  PubMed  Google Scholar 

Lu M, Wang S, Sirajuddin A, Arai AE, Zhao S. Dynamic stress computed tomography myocardial perfusion for detecting myocardial ischemia: a systematic review and meta-analysis. Int J Cardiol. 2018;258:325–31.

Article  PubMed  Google Scholar 

Meinel FG, Pugliese F, Schoepf UJ, Ebersberger U, Wichmann JL, Lo GG, et al. Prognostic value of stress dynamic myocardial perfusion CT in a multicenter population with known or suspected coronary artery disease. AJR Am J Roentgenol. 2017;208:761–9.

Article  PubMed  Google Scholar 

Danad I, Szymonifka J, Schulman-Marcus J, Min JK. Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging. 2016;17:836–44.

Article  PubMed  PubMed Central  Google Scholar 

Ko SM, Choi JW, Song MG, Shin JK, Chee HK, Chung HW, et al. Myocardial perfusion imaging using adenosine-induced stress dual-energy computed tomography of the heart: comparison with cardiac magnetic resonance imaging and conventional coronary angiography. Eur Radiol. 2011;21:26–35.

Article  PubMed  Google Scholar 

Sørgaard MH, Kofoed KF, Linde JJ, George RT, Rochitte CE, Feuchtner G, et al. Diagnostic accuracy of static CT perfusion for the detection of myocardial ischemia. A systematic review and meta-analysis. J Cardiovasc Comput Tomogr. 2016;10:450–7.

Article  PubMed  Google Scholar 

Schuijf JD, Matheson MB, Ostovaneh MR, Arbab-Zadeh A, Kofoed KF, Scholte AJH. Ischemia and no obstructive stenosis (INOCA) at CT angiography, CT myocardial perfusion, invasive coronary angiography, and SPECT: the CORE320 study. Radiology. 2020;294:61–73.

Article  PubMed  Google Scholar 

Sethi P, Panchal HB, Veeranki SP, Ur Rahman Z, Mamudu H, Paul TK. Diagnostic value of noninvasive computed tomography perfusion imaging and coronary computed tomography angiography for assessing hemodynamically significant native coronary artery lesions. Am J Med Sci. 2017;354:291–8.

Article  PubMed  Google Scholar 

De Bruyne B, Pijls NH, Kalesan B, Barbato E, Tonino PA, Piroth Z, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med. 2012;367:991–1001.

Article  PubMed  Google Scholar 

Toth GG, Johnson NP, Jeremias A, Pellicano M, Vranckx P, Fearon WF, et al. Standardization of fractional flow reserve measurements. J Am Coll Cardiol. 2016;68:742–53.

Article  PubMed  Google Scholar 

Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, et al. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (diagnosis of ischemia-causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol. 2011;58:1989–97.

Article  PubMed  Google Scholar 

Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012;308:1237–45.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nørgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, NXT Trial Study Group, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (analysis of Coronary Blood Flow using CT angiography: next steps). J Am Coll Cardiol. 2014;63:1145–55.

Article  PubMed  Google Scholar 

Nørgaard BL, Hjort J, Gaur S, Hansson N, Bøtker HE, Leipsic J

留言 (0)

沒有登入
gif