Letters To The Editor Open Access
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Cardiol. Apr 26, 2013; 5(4): 115-118
Published online Apr 26, 2013. doi: 10.4330/wjc.v5.i4.115
Evaluation of myocardial infarction patients after coronary revasculation by dual-phase multi-detector computed tomography: Now and in future
Chung-Pin Liu, Shoa-Lin Lin, Department of Internal Medicine, Yuan’s General Hospital, Kaohsiung 802, Taiwan
Yen-Hung Lin, Mao-Shin Lin, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 112, Taiwan
Wei-Chun Huang, Division of Cardiology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 802, Taiwan
Wei-Chun Huang, Shoa-Lin Lin, School of Medicine, National Yang-Ming University, Taipei 112, Taiwan
Shoa-Lin Lin, Department of Internal Medicine, National Defense Medicine College, Taipei 114, Taiwan
Author contributions: Liu CP reviewed the literature and wrote the manuscript; Lin YH, Lin MS and Huang WC discussed the topic; Lin SL revised the manuscript and supervised the preparation of this commentary.
Correspondence to: Shoa-Lin Lin, MD, Department of Internal Medicine, Yuan’s General Hospital, Kaohsiung City, No. 162, Cheng-gong 1st Road, Lingya Dist., Kaohsiung 802, Taiwan. lingoodman@yahoo.com.tw
Telephone: +886-7-3351121 Fax: +886-7-2691506
Received: December 19, 2012
Revised: February 19, 2013
Accepted: March 21, 2013
Published online: April 26, 2013

Abstract

Multidetector-row computed tomography (MDCT) has become one of the major tools in diagnosing and evaluating patients with coronary artery disease in recent years. In selected patients, MDCT has been shown to provide more reliable accuracy in detection of stent patency than invasive coronary angiography. Chiou et al reported a delicate infarcted myocardium at-risk score. According to their results, the MDCT-based myocardium at-risk score had a good correlation with the thallium 201 ST-segment elevation myocardial infarction-based summed difference score (r = 0.841, P < 0.001). They claimed that dual-phase MDCT is useful in detecting different patterns of obstructive lesions and the extent of myocardium at risk. In this commentary, we discuss the current status of the clinical application of MDCT in patients with myocardial infarction in relation to evaluating the myocardial perfusion defect, detecting reversible myocardial ischemia, assessing myocardial viability, estimating target lesion restenosis, and calculating of fractional flow reserve from MDCT.

Key Words: Coronary artery disease, Fractional flow reserve, Multidetector-row computed tomography, Myocardial infarction

Core tip: Chiou et al reported that dual-phase multidetector-row computed tomography (MDCT) is useful in detecting different patterns of obstructive lesions and the extent of myocardium at risk. In this commentary, we discuss the current status of the clinical application of MDCT in patients with myocardial infarction in relation to evaluating the myocardial perfusion defect, detecting reversible myocardial ischemia, assessing myocardial viability, estimating target lesion restenosis, and calculating of fractional flow reserve from MDCT.



TO THE EDITOR

We have read the recent published article by Chiou et al[1] which reported that the dual-phase multidetector-row computed tomography (MDCT) is useful in detecting different patterns of obstructive lesions and the extent of myocardium at risk in patients with ST-segment elevation myocardial infarction (STEMI). We think that this article is interesting and would strongly recommend it to readers.

With its rapid advancement in recent years, MDCT has become one of the major tools in diagnosing and evaluating patients with coronary artery disease. The high negative predictive rate has made MDCT a powerful tool in excluding occlusive coronary lesions in symptomatic patients with low probability of disease[2,3]. In selected patients, MDCT has also been shown to provide more reliable accuracy in detection of stent patency than invasive coronary angiography[4]. Chiou et al[1] reported a delicate infarcted myocardium at-risk score. According to their results from 135 ST-segment elevation myocardial infarction (STEMI) patients with recurrent symptoms 9 mo after revascularization and analysis of 1966 segments, the myocardium at-risk score has higher sensitivity, specificity, and positive- and negative-predictive values (98.7%, 76.1%, 87.5%, and 97.2% respectively) than analysis from stress-redistribution thallium-201 SPECT plus invasive coronary angiography. In 124 (91.9%) patients in whom all segments were assessable, the MDCT-based myocardium at-risk score had a good correlation with the SPECT-based summed difference score (SDS) (r = 0.841, P < 0.001). With a cutoff value of 2.68, the area under the receiver operating characteristic curve was 0.874 (95%CI: 0.805-0.942) for the MDCT-based infarcted myocardium at-risk score[1]. Although additional studies with a larger population are required, MDCT-based risk stratification has been shown to be a promising noninvasive tool with good correlation to the current standard for evaluating obstructive lesions and the severity of the myocardium at risk in patients with STEMI who develop recurrent symptoms.

Correct identification of flow-limiting coronary artery stenosis is the cornerstone of interventional treatment in patients with ischemic angina[5]. However, the correlation of morphological severity with myocardial blood flow reduction is low[6].

Functional studies with nuclear myocardial imaging, including SPECT and positron emission tomography, are the current major modalities[7], but attenuation artifacts, high radiation dose and prolonged examination time limit the clinical benefits. Several computed tomography (CT) techniques have been developed to evaluate the myocardial blood supply[5]. During the early phase of contrast medium passage through the myocardium, perfusion defects can be delineated by analysis of reconstruction images based on systolic and diastolic cycles[8,9] and optimal timing of first-pass scans[10]. Dual source CT reduces beam-hardening artifacts significantly by use of monochromatic image handling technology, and further improves the accuracy of myocardial perfusion quantification[11]. Dynamic time phases may be useful in prediction of myocardial perfusion defects[12], which may be related to left ventricular functional recovery in patients with acute myocardial infarction[13]. Injection of adenosine before scanning has also been an well-accepted pharmacological stress method for detecting reversible myocardial ischemia[14].

The other important action during the planning of coronary revascularization is to estimate myocardial viability and predict the possible recovery of ventricular function[15]. Differential contrast enhancement of infarcted myocardial tissue was initially recognized on CT images and was also reported for gadolinium-enhanced cardiac magnetic resonance imaging (MRI). In the normal condition, the iodinated and gadolinium contrast medium distribute through the cardiac extracellular space but are excluded from healthy myocardial cells. After ischemic injury, differences in distribution volume occurring after loss of myocardial membrane integrity enable delayed gadolinium-enhanced MRI to define the periinfarction area of edema and the central core of necrosis[16,17]. In a study of preoperative evaluation before coronary artery bypass surgery, the extent of delayed transmural hyperenhancement in MRI images has been shown to have strong correlation with the recovery of regional ventricular function after 6 mo[18]. In the acute myocardial infarction, delayed-enhancement MRI also provides prediction of recovery of function after successful primary angioplasty by analysis of microvascular obstruction[19]. Assessment of myocardial viability using MDCT has been validated by a number of studies. The detection of periinfarction edema[20] and nonreperfused area[21] in the setting of acute myocardial infarction was shown to have good correlation with MRI imaging and myocardial histological staining. In a recent study, myocardial contrast delayed enhancement of MDCT was shown to be well correlated with nonviable myocardium and a significant independent predictor of clinical outcome[22]. The viability evaluation of myocardium by CT is still under verification. However, CT warrants a future role in this area as it is less time-consuming and patient-limiting than MRI[5].

Recently, a novel method of calculation of fractional flow reserve (FFR) from MDCT has been reported[23]. FFR is the ratio of the mean coronary pressure distal to a stenotic coronary lesion to the mean aortic pressure, as measured during invasive coronary angiography[24]. FFR has been shown to have greater accuracy than exercise electrocardiography, myocardial perfusion scintigraphy, and stress echocardiography in determination of hemodynamically significant stenoses[25]. Advancement of technology has enables calculation of FFR from MDCT without additional imaging, change of MDCT protocols, or pharmacological administration[23,26]. In other words, FFR derived from coronary computed tomography is a noninvasive method for diagnosis of lesion-specific ischemia. From the initial data published to date[19,27], use of noninvasive FFR from MDCT for patients with suspected coronary artery disease improves diagnostic accuracy in comparison with MDCT alone. In a recently published multicenter international study, FFR from MDCT showed a diagnostic accuracy, sensitivity, specificity value of 73%, 90%, and 54%, respectively, on a per-patient basis compared to traditionally invasive FFR[23]. In another study, a good correlation was shown between per-vessel FFR from MDCT and invasive FFR values (Spearman’s rank correlation = 0.717, P < 0.0001; Pearson’s correlation coefficient = 0.678, P <0.0001)[28]. Calculations of FFRs from MDCT were performed by computational fluid dynamic modeling after semiautomated segmentation of coronary arteries and left ventricular mass. This process currently requires approximately 6 h per case[23]. With further improvement of the computation technology, we believe that the processing time will be much shorter, making it feasible for clinical use in the near future.

Noninvasive identification of the patency of culprit vessels remains a challenging issue in patients of STEMI. We and others have reported that MDCT could accurately and safely identify occluded culprit lesions in patients early after acute myocardial infarction (AMI), which may provide important information to aid in risk stratification[29,30]. In patients with acute coronary syndrome sowing ambiguous ST segment changes on electrocardiogram, MDCT adds diagnostic accuracy and helps to exclude pulmonary embolism, aortic dissection, and other thoracic disease[31]. For patients with complex coronary artery disease who require bypass surgery, the 3D-image reconstruction from MDCT also provides additional details to operators[32]. Furthermore, it has been reported that the myocardial viability assessment derived from MDCT after primary revascularization may help to predict the clinical outcome in patients with AMI[22].

In summary, the evaluation of STEMI patients with recurrence of chest symptoms remains a challenge. Utilization of state-of-the-art MDCT for delayed myocardial enhancement and calculation of infarcted myocardium at-risk score helps therapeutic planning and risk stratification. In the near future, we believe that the FFR obtained from MDCT may also contribute to coronary ischemia assessment.

Footnotes

P- Reviewers Wang QK, Sochman J S- Editor Zhai HH L- Editor Hughed D E- Editor Zhang DN

References
1.  Chiou KR, Peng NJ, Hsiao SH, Huang YL, Cheng CC, Pan HB, Wu MT. CT of coronary heart disease: Part 2, Dual-phase MDCT evaluates late symptom recurrence in ST-segment elevation myocardial infarction patients after revascularization. AJR Am J Roentgenol. 2012;198:548-562.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 3]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
2.  Taylor AJ, Cerqueira M, Hodgson JM, Mark D, Min J, O’Gara P, Rubin GD, Kramer CM, Berman D, Brown A. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use 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. J Am Coll Cardiol. 2010;56:1864-1894.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 727]  [Cited by in F6Publishing: 685]  [Article Influence: 48.9]  [Reference Citation Analysis (0)]
3.  Arbab-Zadeh A, Hoe J. Quantification of coronary arterial stenoses by multidetector CT angiography in comparison with conventional angiography methods, caveats, and implications. JACC Cardiovasc Imaging. 2011;4:191-202.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 76]  [Cited by in F6Publishing: 78]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
4.  Carrabba N, Schuijf JD, de Graaf FR, Parodi G, Maffei E, Valenti R, Palumbo A, Weustink AC, Mollet NR, Accetta G. Diagnostic accuracy of 64-slice computed tomography coronary angiography for the detection of in-stent restenosis: a meta-analysis. J Nucl Cardiol. 2010;17:470-478.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 52]  [Cited by in F6Publishing: 38]  [Article Influence: 2.7]  [Reference Citation Analysis (0)]
5.  Vliegenthart R, Henzler T, Moscariello A, Ruzsics B, Bastarrika G, Oudkerk M, Schoepf UJ. CT of coronary heart disease: Part 1, CT of myocardial infarction, ischemia, and viability. AJR Am J Roentgenol. 2012;198:531-547.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 38]  [Cited by in F6Publishing: 42]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
6.  Kern MJ, Samady H. Current concepts of integrated coronary physiology in the catheterization laboratory. J Am Coll Cardiol. 2010;55:173-185.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 222]  [Cited by in F6Publishing: 203]  [Article Influence: 14.5]  [Reference Citation Analysis (0)]
7.  Klocke FJ, Baird MG, Lorell BH, Bateman TM, Messer JV, Berman DS, O’Gara PT, Carabello BA, Russell RO, Cerqueira MD. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging--executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (ACC/AHA/ASNC Committee to Revise the 1995 Guidelines for the Clinical Use of Cardiac Radionuclide Imaging). Circulation. 2003;108:1404-1418.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 462]  [Cited by in F6Publishing: 498]  [Article Influence: 23.7]  [Reference Citation Analysis (0)]
8.  Hoffmann U, Millea R, Enzweiler C, Ferencik M, Gulick S, Titus J, Achenbach S, Kwait D, Sosnovik D, Brady TJ. Acute myocardial infarction: contrast-enhanced multi-detector row CT in a porcine model. Radiology. 2004;231:697-701.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 115]  [Cited by in F6Publishing: 123]  [Article Influence: 6.2]  [Reference Citation Analysis (0)]
9.  Nagao M, Matsuoka H, Kawakami H, Higashino H, Mochizuki T, Murase K, Uemura M. Quantification of myocardial perfusion by contrast-enhanced 64-MDCT: characterization of ischemic myocardium. AJR Am J Roentgenol. 2008;191:19-25.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 48]  [Cited by in F6Publishing: 50]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
10.  Bischoff B, Bamberg F, Marcus R, Schwarz F, Becker HC, Becker A, Reiser M, Nikolaou K. Optimal timing for first-pass stress CT myocardial perfusion imaging. Int J Cardiovasc Imaging. 2013;29:435-442.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  So A, Hsieh J, Imai Y, Narayanan S, Kramer J, Procknow K, Dutta S, Leipsic J, Min JK, Labounty T. Prospectively ECG-triggered rapid kV-switching dual-energy CT for quantitative imaging of myocardial perfusion. JACC Cardiovasc Imaging. 2012;5:829-836.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 62]  [Cited by in F6Publishing: 65]  [Article Influence: 5.9]  [Reference Citation Analysis (0)]
12.  Ko SM, Kim YW, Han SW, Seo JB. Early and delayed myocardial enhancement in myocardial infarction using two-phase contrast-enhanced multidetector-row CT. Korean J Radiol. 2007;8:94-102.  [PubMed]  [DOI]  [Cited in This Article: ]
13.  Koyama Y, Matsuoka H, Mochizuki T, Higashino H, Kawakami H, Nakata S, Aono J, Ito T, Naka M, Ohashi Y. Assessment of reperfused acute myocardial infarction with two-phase contrast-enhanced helical CT: prediction of left ventricular function and wall thickness. Radiology. 2005;235:804-811.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 81]  [Cited by in F6Publishing: 86]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
14.  Rocha-Filho JA, Blankstein R, Shturman LD, Bezerra HG, Okada DR, Rogers IS, Ghoshhajra B, Hoffmann U, Feuchtner G, Mamuya WS. Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography. Radiology. 2010;254:410-419.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 196]  [Cited by in F6Publishing: 204]  [Article Influence: 14.6]  [Reference Citation Analysis (0)]
15.  Arai AE. The cardiac magnetic resonance (CMR) approach to assessing myocardial viability. J Nucl Cardiol. 2011;18:1095-1102.  [PubMed]  [DOI]  [Cited in This Article: ]
16.  Wendland MF, Saeed M, Arheden H, Gao DW, Canet E, Bremerich J, Dae MW, Higgins CB. Toward necrotic cell fraction measurement by contrast-enhanced MRI of reperfused ischemically injured myocardium. Acad Radiol. 1998;5 Suppl 1:S42-S44; discussion S42-S44.  [PubMed]  [DOI]  [Cited in This Article: ]
17.  Ordovas KG, Higgins CB. Delayed contrast enhancement on MR images of myocardium: past, present, future. Radiology. 2011;261:358-374.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 113]  [Cited by in F6Publishing: 151]  [Article Influence: 11.6]  [Reference Citation Analysis (0)]
18.  Selvanayagam JB, Kardos A, Francis JM, Wiesmann F, Petersen SE, Taggart DP, Neubauer S. Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization. Circulation. 2004;110:1535-1541.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 263]  [Cited by in F6Publishing: 236]  [Article Influence: 11.8]  [Reference Citation Analysis (0)]
19.  Baks T, van Geuns RJ, Biagini E, Wielopolski P, Mollet NR, Cademartiri F, van der Giessen WJ, Krestin GP, Serruys PW, Duncker DJ. Effects of primary angioplasty for acute myocardial infarction on early and late infarct size and left ventricular wall characteristics. J Am Coll Cardiol. 2006;47:40-44.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 101]  [Cited by in F6Publishing: 108]  [Article Influence: 5.7]  [Reference Citation Analysis (0)]
20.  Mahnken AH, Bruners P, Bornikoel CM, Krämer N, Guenther RW. Assessment of myocardial edema by computed tomography in myocardial infarction. JACC Cardiovasc Imaging. 2009;2:1167-1174.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 25]  [Article Influence: 1.8]  [Reference Citation Analysis (0)]
21.  Buecker A, Katoh M, Krombach GA, Spuentrup E, Bruners P, Günther RW, Niendorf T, Mahnken AH. A feasibility study of contrast enhancement of acute myocardial infarction in multislice computed tomography: comparison with magnetic resonance imaging and gross morphology in pigs. Invest Radiol. 2005;40:700-704.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 58]  [Cited by in F6Publishing: 61]  [Article Influence: 3.4]  [Reference Citation Analysis (0)]
22.  Sato A, Nozato T, Hikita H, Akiyama D, Nishina H, Hoshi T, Aihara H, Kakefuda Y, Watabe H, Hiroe M. Prognostic value of myocardial contrast delayed enhancement with 64-slice multidetector computed tomography after acute myocardial infarction. J Am Coll Cardiol. 2012;59:730-738.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 49]  [Cited by in F6Publishing: 34]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
23.  Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, Erglis A, Lin FY, Dunning AM, Apruzzese P. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012;308:1237-1245.  [PubMed]  [DOI]  [Cited in This Article: ]
24.  Pijls NH, De Bruyne B. Coronary pressure measurement and fractional flow reserve. Heart. 1998;80:539-542.  [PubMed]  [DOI]  [Cited in This Article: ]
25.  Pijls NH, De Bruyne B, Peels K, Van Der Voort PH, Bonnier HJ, Bartunek J Koolen JJ, Koolen JJ. Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses. N Engl J Med. 1996;334:1703-1708.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1629]  [Cited by in F6Publishing: 1537]  [Article Influence: 54.9]  [Reference Citation Analysis (0)]
26.  Kim HJ, Vignon-Clementel IE, Coogan JS, Figueroa CA, Jansen KE, Taylor CA. Patient-specific modeling of blood flow and pressure in human coronary arteries. Ann Biomed Eng. 2010;38:3195-3209.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 365]  [Cited by in F6Publishing: 346]  [Article Influence: 24.7]  [Reference Citation Analysis (0)]
27.  Min JK, Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning AM, Defrance T, Lansky A. Usefulness of noninvasive fractional flow reserve computed from coronary computed tomographic angiograms for intermediate stenoses confirmed by quantitative coronary angiography. Am J Cardiol. 2012;110:971-976.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 60]  [Cited by in F6Publishing: 68]  [Article Influence: 5.7]  [Reference Citation Analysis (0)]
28.  Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, Dunning A, DeFrance T, Lansky A, Leipsic J. 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;58:1989-1997.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 825]  [Cited by in F6Publishing: 884]  [Article Influence: 68.0]  [Reference Citation Analysis (0)]
29.  Huang WC, Chiou KR, Liu CP, Lin SK, Huang YL, Mar GY, Lin SL, Wu MT. Multidetector row computed tomography can identify and characterize the occlusive culprit lesions in patients early (within 24 hours) after acute myocardial infarction. Am Heart J. 2007;154:914-922.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7]  [Cited by in F6Publishing: 9]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
30.  Shabestari AA, Akhlaghpoor S, Tayebivaljozi R, Fattahi Masrour F. Prevalence of Congenital Coronary Artery Anomalies and Variants in 2697 Consecutive Patients Using 64-Detector Row Coronary CTAngiography. Iran J Radiol. 2012;9:111-121.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 16]  [Cited by in F6Publishing: 15]  [Article Influence: 1.3]  [Reference Citation Analysis (0)]
31.  Takakuwa KM, Halpern EJ. Evaluation of a “triple rule-out” coronary CT angiography protocol: use of 64-Section CT in low-to-moderate risk emergency department patients suspected of having acute coronary syndrome. Radiology. 2008;248:438-446.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 138]  [Cited by in F6Publishing: 141]  [Article Influence: 8.8]  [Reference Citation Analysis (0)]
32.  Tresoldi S, Mezzanzanica M, Campari A, Salerno Uriarte D, Cornalba G. The role of computed tomography coronary angiography in the management of coronary anomalies. J Card Surg. 2013;28:33-36.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 5]  [Cited by in F6Publishing: 6]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]