LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,518
تعداد مشاهده مقاله45,416,129
تعداد دریافت فایل اصل مقاله11,291,857
Sadeghian, Mohammad, Mohammadi, Vahid, Shafiee, Akbar, Babakhani, Hamidreza. (1400). Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images. سامانه مدیریت نشریات علمی, 11(6), 685-692. doi: 10.31661/jbpe.v0i0.1160
Mohammad Sadeghian; Vahid Mohammadi; Akbar Shafiee; Hamidreza Babakhani. "Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images". سامانه مدیریت نشریات علمی, 11, 6, 1400, 685-692. doi: 10.31661/jbpe.v0i0.1160
Sadeghian, Mohammad, Mohammadi, Vahid, Shafiee, Akbar, Babakhani, Hamidreza. (1400). 'Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images', سامانه مدیریت نشریات علمی, 11(6), pp. 685-692. doi: 10.31661/jbpe.v0i0.1160
Sadeghian, Mohammad, Mohammadi, Vahid, Shafiee, Akbar, Babakhani, Hamidreza. Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images. سامانه مدیریت نشریات علمی, 1400; 11(6): 685-692. doi: 10.31661/jbpe.v0i0.1160

Non-Invasive Flow Ratio (NiFR) Measurement based on Angiography Images

Journal of Biomedical Physics and Engineering
مقاله 3، دوره 11، شماره 6، اسفند 2021، صفحه 685-692    اصل مقاله (811.22 K)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.1160
نویسندگان
Mohammad Sadeghian1؛ Vahid Mohammadi1؛ Akbar Shafiee2؛ Hamidreza Babakhani* 3
1MD, Department of Cardiology, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
2MD, Department of Cardiovascular Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
3MSc, Department of Mechanical Engineering, Tarbiat Modarres University, Tehran, Iran
چکیده
Background: Fractional flow reserve (FFR) is a gold standard to assess the impact of stenosis on the blood flow. The FFR method enhances diagnostic accuracy, lessens the need for stenting, and reduces costs. However, FFR is used in less than 10% of percutaneous coronary intervention (PCI) procedures because it needs pressure wires to measure the distal and proximal pressures and adenosine to create hyperemic conditions. Pressure-wire-based FFR measurement is, therefore, expensive and invasive.
Objective: This study aims to introduce a new approach on the basis of 3D coronary angiography and the Thrombolysis in Myocardial Infarction (TIMI) frame count for fast computation of FFR in patients with coronary artery disease.
Material and Methods: In this simulation study, we herein introduce Non-Invasive Flow Ratio drawing upon CFD to measure FFR based on coronary angiography images with less run time. In this study, 3D geometry was created based on coronary angiography images. The mean volumetric flow rate was calculated using the TIMI frame count. FFR calculated based on CFD was compared with pressure-wire-based FFR and NiFR was calculated in 85 patients.
Results: The NiFR (r = 0.738, p < 0.001) exhibited a strong correlation with pressure-wire-based FFR. The result indicated that FFR was higher than 0.8 in the arteries with non-signif­icant stenosis and lower than 0.8 in the arter­ies with significant stenosis.
Conclusion: The computational simulation of FFR and hemodynamic parameters such as pressure drop is a safe, efficient, and cost-effective method to evaluate the severity of coronary stenosis.
کلیدواژه‌ها
Fractional Flow Reserve, Myocardial؛ Coronary angiography؛ Coronary Artery Disease
سایر فایل های مرتبط با مقاله
مراجع
  1. Pijls NH, Fearon WF, Tonino PA, Siebert U, Ikeno F, Bornschein B, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study. J Am Coll Cardiol. 2010;56:177-84. doi: 10.1016/j.jacc.2010.04.012. PubMed PMID: 20537493.
  2. 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. doi: 10.1001/2012.jama.11274. PubMed PMID: 22922562. PubMed PMCID: PMC4281479.
  3. Dehmer GJ, Weaver D, Roe MT, Milford-Beland S, Fitzgerald S, Hermann A, et al. A contemporary view of diagnostic cardiac catheterization and percutaneous coronary intervention in the United States: a report from the CathPCI Registry of the National Cardiovascular Data Registry, 2010 through June 2011. J Am Coll Cardiol. 2012;60:2017-31. doi: 10.1016/j.jacc.2012.08.966. PubMed PMID: 23083784.
  4. Tu S, Pyxaras SA, Li Y, Barbato E, Reiber JH, Wijns W. In vivo flow simulation at coronary bifurcation reconstructed by fusion of 3-dimensional X-ray angiography and optical coherence tomography. Circ Cardiovasc Interv. 2013;6:e15-17. doi: 10.1161/CIRCINTERVENTIONS.112.000051. PubMed PMID: 23591422.
  5. Morris PD, Ryan D, Morton AC, Lycett R, Lawford PV, Hose DR, et al. Virtual fractional flow reserve from coronary angiography: modeling the significance of coronary lesions: results from the VIRTU-1 (VIRTUal Fractional Flow Reserve From Coronary Angiography) study. JACC Cardiovasc Interv. 2013;6:149-57. doi: 10.1016/j.jcin.2012.08.024. PubMed PMID: 23428006.
  6. Yong AS, Ng AC, Brieger D, Lowe HC, Ng MK, Kritharides L. Three-dimensional and two-dimensional quantitative coronary angiography, and their prediction of reduced fractional flow reserve. Eur Heart J. 2011;32:345-53. doi: 10.1093/eurheartj/ehq259. PubMed PMID: 20705695.
  7. Carneiro F, Ribeiro VG, Teixeira J, Teixeira S. Numerical study of blood fluid rheology in the abdominal aorta. Design & Nature IV: Comparing Design in Nature with Science and Engineering. 2008;4:169. doi: 10.2495/dn080181.
  8. Vasava P, Jalali P, Dabagh M, Kolari PJ. Finite element modelling of pulsatile blood flow in idealized model of human aortic arch: study of hypotension and hypertension. Comput Math Methods Med. 2012;2012:1-14. doi: 10.1155/2012/861837. PubMed PMID: 22400055. PubMed PMCID: PMC3287084.
  9. Itu L, Sharma P, Ralovich K, Mihalef V, Ionasec R, Everett A, et al. Non-invasive hemodynamic assessment of aortic coarctation: validation with in vivo measurements. Ann Biomed Eng. 2013;41:669-81. doi: 10.1007/s10439-012-0715-0. PubMed PMID: 23232558.
  10. Gibson CM, Cannon CP, Daley WL, et al. TIMI frame count: a quantitative method of assessing coronary artery flow. Circulation. 1996;93(5):879-88. doi: 10.1161/01.cir.93.5.879. PubMed PMID: 8598078.
  11. Kim HJ. Three-dimensional finite element modeling of blood flow in the coronary arteries. United States, California Stanford: University; 2009.
  12. Wilson RF, Wyche K, Christensen BV, Zimmer S, Laxson DD. Effects of adenosine on human coronary arterial circulation. Circulation. 1990;82:1595-606. doi: 10.1161/01.cir.82.5.1595. PubMed PMID: 2225364.
  13. Theodorakakos A, Gavaises M, Andriotis A, Zifan A, Liatsis P, Pantos I, et al. Simulation of cardiac motion on non-Newtonian, pulsating flow development in the human left anterior descending coronary artery. Phys Med Biol. 2008;53:4875-92. doi: 10.1088/0031-9155/53/18/002. PubMed PMID: 18711245.
  14. Torii R, Wood NB, Hadjiloizou N, Dowsey AW, Wright AR, Hughes AD, et al. Fluid–structure interaction analysis of a patient-specific right coronary artery with physiological velocity and pressure waveforms. Communications in Numerical Methods in Engineering. 2009;25:565-80. doi: 10.1002/cnm.1231.
  15. Siogkas PK, Papafaklis MI, Sakellarios AI, Stefanou KA, Bourantas CV, Athanasiou LS, et al. Patient-specific simulation of coronary artery pressure measurements: an in vivo three-dimensional validation study in humans. Biomed Res Int. 2015;2015:1-11. doi: 10.1155/2015/628416. PubMed PMID: 25815328. PubMed PMCID: PMC4359837.
آمار
تعداد مشاهده مقاله: 1,649
تعداد دریافت فایل اصل مقاله: 617


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب