|
1
|
Dudas K, Björck L, Jernberg T, Lappas G,
Wallentin L and Rosengren A: Differences between acute myocardial
infarction and unstable angina: A longitudinal cohort study
reporting findings from the register of information and knowledge
about swedish heart intensive care admissions (RIKS-HIA). BMJ Open.
3(e002155)2013.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Benjamin EJ, Virani SS, Callaway CW,
Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling
FN, Deo R, et al: Heart disease and stroke statistics-2018 update:
A Report from the american heart association. Circulation.
137:e67–e492. 2018.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Koskinas KC, Ughi GJ, Windecker S, Tearney
GJ and Räber L: Intracoronary imaging of coronary atherosclerosis:
Validation for diagnosis, prognosis and treatment. Eur Heart J.
37(524-535a-c)2016.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Grech ED and Ramsdale DR: Acute coronary
syndrome: Unstable angina and non-ST segment elevation myocardial
infarction. BMJ. 326:1259–1261. 2003.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Meier D, Skalidis I, De Bruyne B, Qanadli
SD, Rotzinger D, Eeckhout E, Collet C, Muller O and Fournier S:
Ability of FFR-CT to detect the absence of hemodynamically
significant lesions in patients with high-risk NSTE-ACS admitted in
the emergency department with chest pain, study design and
rationale. Int J Cardiol Heart Vasc. 27(100496)2020.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Ahmadi A, Stone GW, Leipsic J, Serruys PW,
Shaw L, Hecht H, Wong G, Nørgaard BL, O'Gara PT, Chandrashekhar Y
and Narula J: Association of coronary stenosis and plaque
morphology with fractional flow reserve and outcomes. JAMA Cardiol.
1:350–357. 2016.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Ciccarelli G, Barbato E, Toth GG, Gahl B,
Xaplanteris P, Fournier S, Milkas A, Bartunek J, Vanderheyden M,
Pijls N, et al: Angiography versus hemodynamics to predict the
natural history of coronary stenoses: fractional flow reserve
versus angiography in multivessel evaluation 2 substudy.
Circulation. 137:1475–1485. 2018.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Ahmed W, Schlett CL, Uthamalingam S,
Truong QA, Koenig W, Rogers IS, Blankstein R, Nagurney JT, Tawakol
A, Januzzi JL and Hoffmann U: Single resting hsTnT level predicts
abnormal myocardial stress test in acute chest pain patients with
normal initial standard troponin. JACC Cardiovasc Imaging. 6:72–82.
2013.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Raza S and Efstathiou M: CT coronary
angiogram with FFR CT-A revolution in the diagnostic flow of
coronary artery disease. J Ayub Med Coll Abbottabad. 33:376–381.
2021.PubMed/NCBI
|
|
10
|
De Bruyne B, Fearon WF, Pijls NH, Barbato
E, Tonino P, Piroth Z, Jagic N, Mobius-Winckler S, Rioufol G, Witt
N, et al: Fractional flow reserve-guided PCI for stable coronary
artery disease. N Engl J Med. 371:1208–1217. 2014.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Fairbairn TA, Nieman K, Akasaka T,
Nørgaard BL, Berman DS, Raff G, Hurwitz-Koweek LM, Pontone G,
Kawasaki T, Sand NP, et al: Real-world clinical utility and impact
on clinical decision-making of coronary computed tomography
angiography-derived fractional flow reserve: Lessons from the
ADVANCE registry. Eur Heart J. 39:3701–3711. 2018.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Thygesen K, Alpert JS, Jaffe AS, Chaitman
BR, Bax JJ, Morrow DA and White HD: Executive Group on behalf of
the Joint European Society of Cardiology (ESC)/American College of
Cardiology (ACC)/American Heart Association (AHA)/World Heart
Federation (WHF) Task Force for the Universal Definition of
Myocardial Infarction. Fourth universal definition of myocardial
infarction (2018). J Am Coll Cardiol. 72:2231–2264. 2018.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Collet JP, Thiele H, Barbato E, Barthélémy
O, Bauersachs J, Bhatt DL, Dendale P, Dorobantu M, Edvardsen T,
Folliguet T, et al: 2020 ESC guidelines for the management of acute
coronary syndromes in patients presenting without persistent
ST-segment elevation. Eur Heart J. 42:1289–1367. 2021.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Matsumura-Nakano Y, Kawaji T, Shiomi H,
Kawai-Miyake K, Kataoka M, Koizumi K, Matsuda A, Kitano K, Yoshida
M, Watanabe H, et al: Optimal cutoff value of fractional flow
reserve derived from coronary computed tomography angiography for
predicting hemodynamically significant coronary artery disease.
Circ Cardiovasc Imaging. 12(e008905)2019.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Dey D, Achenbach S, Schuhbaeck A,
Pflederer T, Nakazato R, Slomka PJ, Berman DS and Marwan M:
Comparison of quantitative atherosclerotic plaque burden from
coronary CT angiography in patients with first acute coronary
syndrome and stable coronary artery disease. J Cardiovasc Comput
Tomogr. 8:368–374. 2014.PubMed/NCBI View Article : Google Scholar
|
|
16
|
DeLong ER, DeLong DM and Clarke-Pearson
DL: Comparing the areas under two or more correlated receiver
operating characteristic curves: A nonparametric approach.
Biometrics. 44:837–845. 1988.PubMed/NCBI
|
|
17
|
Hoffmann U, Bamberg F, Chae CU, Nichols
JH, Rogers IS, Seneviratne SK, Truong QA, Cury RC, Abbara S,
Shapiro MD, et al: Coronary computed tomography angiography for
early triage of patients with acute chest pain: The ROMICAT (rule
out myocardial infarction using computer assisted tomography)
trial. J Am Coll Cardiol. 53:1642–1650. 2009.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Hollander JE, Chang AM, Shofer FS, Collin
MJ, Walsh KM, McCusker CM, Baxt WG and Litt HI: One-year outcomes
following coronary computerized tomographic angiography for
evaluation of emergency department patients with potential acute
coronary syndrome. Acad Emerg Med. 16:693–698. 2009.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Rubinshtein R, Halon DA, Gaspar T, Jaffe
R, Karkabi B, Flugelman MY, Kogan A, Shapira R, Peled N and Lewis
BS: Usefulness of 64-slice cardiac computed tomographic angiography
for diagnosing acute coronary syndromes and predicting clinical
outcome in emergency department patients with chest pain of
uncertain origin. Circulation. 115:1762–1768. 2007.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Chang HJ, Lin FY, Lee SE, Andreini D, Bax
J, Cademartiri F, Chinnaiyan K, Chow BJW, Conte E, Cury RC, et al:
Coronary atherosclerotic precursors of acute coronary syndromes. J
Am Coll Cardiol. 71:2511–2522. 2018.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Tonino PAL, De Bruyne B, Pijls NH, Siebert
U, Ikeno F, van 't Veer M, Klauss V, Manoharan G, Engstrøm T,
Oldroyd KG, et al: Fractional flow reserve versus angiography for
guiding percutaneous coronary intervention. N Engl J Med.
360:213–224. 2009.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Williams MC, Kwiecinski J, Doris M,
McElhinney P, D'Souza MS, Cadet S, Adamson PD, Moss AJ, Alam S,
Hunter A, et al: 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.
2020.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Si N, Shi K, Li N, Dong X, Zhu C, Guo Y,
Hu J, Cui J, Yang F and Zhang T: Identification of patients with
acute myocardial infarction based on coronary CT angiography: The
value of pericoronary adipose tissue radiomics. Eur Radiol.
32:6868–6877. 2022.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Lin A, Kolossváry M, Yuvaraj J, Cadet S,
McElhinney PA, Jiang C, Nerlekar N, Nicholls SJ, Slomka PJ,
Maurovich-Horvat P, et al: Myocardial infarction associates with a
distinct pericoronary adipose tissue radiomic phenotype: A
prospective case-control study. JACC Cardiovasc Imaging.
13:2371–2383. 2020.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Benton SM Jr, Tesche C, De Cecco CN,
Duguay TM, Schoepf UJ and Bayer RR II: Noninvasive derivation of
fractional flow reserve from coronary computed tomographic
angiography: A review. J Thorac Imaging. 33:88–96. 2018.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Tang CX, Wang YN, Zhou F, Schoepf UJ,
Assen MV, Stroud RE, Li JH, Zhang XL, Lu MJ, Zhou CS, et al:
Diagnostic performance of fractional flow reserve derived from
coronary CT angiography for detection of lesion-specific ischemia:
A multi-center study and meta-analysis. Eur J Radiol. 116:90–97.
2019.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Zhuang B, Wang S, Zhao S and Lu M:
Computed tomography angiography-derived fractional flow reserve
(CT-FFR) for the detection of myocardial ischemia with invasive
fractional flow reserve as reference: Systematic review and
meta-analysis. Eur Radiol. 30:712–725. 2020.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Liu X, Wang Y, Zhang H, Yin Y, Cao K, Gao
Z, Liu H, Hau WK, Gao L, Chen Y, et al: Evaluation of fractional
flow reserve in patients with stable angina: Can CT compete with
angiography? Eur Radiol. 29:3669–3677. 2019.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Liu X, Mo X, Zhang H, Yang G, Shi C and
Hau WK: A 2-year investigation of the impact of the computed
tomography-derived fractional flow reserve calculated using a deep
learning algorithm on routine decision-making for coronary artery
disease management. Eur Radiol. 31:7039–7046. 2021.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Arena M, Caretta G, Gistri R, Tonelli G,
Scardigli V, Rezzaghi M, Ragazzini A and Menozzi A: Fractional flow
reserve in patients with type 1 or type 2 non-ST elevation acute
myocardial infarction. J Cardiovasc Med (Hagerstown). 23:119–126.
2022.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Tesche C, De Cecco CN, Albrecht MH, Duguay
TM, Bayer RR II, Litwin SE, Steinberg DH and Schoepf UJ: Coronary
CT angiography-derived fractional flow reserve. Radiology.
285:17–33. 2017.PubMed/NCBI View Article : Google Scholar
|
