scholarly journals Patient-specific, multiscale, myocardial blood flow simulation for coronary artery disease

2020 ◽  
Vol 23 (sup1) ◽  
pp. S218-S220
Author(s):  
L. Papamanolis ◽  
H. J. Kim ◽  
C. Jaquet ◽  
M. Sinclair ◽  
M. Schaap ◽  
...  
Author(s):  
Lazaros Papamanolis ◽  
Hyun Jin Kim ◽  
Clara Jaquet ◽  
Matthew Sinclair ◽  
Michiel Schaap ◽  
...  

AbstractPatient-specific models of blood flow are being used clinically to diagnose and plan treatment for coronary artery disease. A remaining challenge is bridging scales from flow in arteries to the micro-circulation supplying the myocardium. Previously proposed models are descriptive rather than predictive and have not been applied to human data. The goal here is to develop a multiscale patient-specific model enabling blood flow simulation from large coronary arteries to myocardial tissue. Patient vasculatures are segmented from coronary computed tomography angiography data and extended from the image-based model down to the arteriole level using a space-filling forest of synthetic trees. Blood flow is modeled by coupling a 1D model of the coronary arteries to a single-compartment Darcy myocardium model. Simulated results on five patients with non-obstructive coronary artery disease compare overall well to [$$^{15}$$ 15 O]$$\text {H}_{{2}}$$ H 2 O PET exam data for both resting and hyperemic conditions. Results on a patient with severe obstructive disease link coronary artery narrowing with impaired myocardial blood flow, demonstrating the model’s ability to predict myocardial regions with perfusion deficit. This is the first report of a computational model for simulating blood flow from the epicardial coronary arteries to the left ventricle myocardium applied to and validated on human data.


Circulation ◽  
1995 ◽  
Vol 91 (5) ◽  
pp. 1381-1388 ◽  
Author(s):  
Ernest L. Fallen ◽  
Claude Nahmias ◽  
Anita Scheffel ◽  
Geoff Coates ◽  
Rob Beanlands ◽  
...  

Author(s):  
Jenifer M Brown ◽  
Wunan Zhou ◽  
Brittany Weber ◽  
Sanjay Divakaran ◽  
Leanne Barrett ◽  
...  

Abstract Aims The transition from hypertension to heart failure (HF) remains poorly understood. We hypothesized that insufficient perfusion to match global metabolic demand, reflected by a low ratio of myocardial blood flow to global myocardial mass, may be a HF risk marker. Methods and results A retrospective cohort (n = 346) of patients with hypertension who underwent clinical positron emission tomography (PET) myocardial perfusion imaging for chest pain and/or dyspnoea at Brigham and Women’s Hospital (Boston, MA, USA) were studied. Patients without obstructive coronary artery disease by history or PET perfusion (summed stress score <3), HF, cardiomyopathy, or ejection fraction (EF) <40% were followed for HF hospitalization (primary outcome), all-cause death, and their composite. Myocardial blood flow, left ventricular (LV) mass, volumes, and EF were obtained from PET, and a ‘flow/mass ratio’ was determined as hyperaemic myocardial blood flow over LV mass indexed to body surface area. A lower flow/mass ratio was independently associated with larger end-diastolic (β = −0.44, P < 0.001) and end-systolic volume (β = −0.48, P < 0.001) and lower EF (β = 0.33, P < 0.001). A flow/mass ratio below the median was associated with an adjusted hazard ratio of 2.47 [95% confidence interval (CI) 1.24–4.93; P = 0.01] for HF hospitalization, 1.95 (95% CI 1.12–3.41; P = 0.02) for death, and 2.20 (95% CI 1.39–3.49; P < 0.001) for the composite. Conclusion An integrated physiological measure of insufficient myocardial perfusion to match global metabolic demand identifies subclinical hypertensive heart disease and elevated risk of HF and death in symptomatic patients with hypertension but without flow-limiting coronary artery disease.


The Lancet ◽  
2000 ◽  
Vol 356 (9226) ◽  
pp. 310-311 ◽  
Author(s):  
James A Arrighi ◽  
Matthew Burg ◽  
Ira S Cohen ◽  
Alexander H Kao ◽  
Steven Pfau ◽  
...  

2020 ◽  
Vol 41 (2) ◽  
pp. 133-138 ◽  
Author(s):  
Jouke J. Boer ◽  
Johan J.J.S. Kappelhof ◽  
Friso M. van der Zant ◽  
Maurits Wondergem ◽  
Hans(J) B.R.M. de Swart ◽  
...  

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