CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease
Peripheral arterial disease (PAD), a condition caused by atherosclerosis, poses significant cardiovascular risks by disrupting blood flow. Computational fluid dynamics offers insights into vascular remodeling mechanisms, leveraging patient-specific anatomical data from computed tomography angiograph...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Malaysia Pahang
2025
|
| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/45579/ |
| _version_ | 1848827455725371392 |
|---|---|
| author | Ukasyah Zulfaqar, Shahrulakmar Nasrul Hadi, Johari Nadarajan, Chandran Guo, Baolei |
| author_facet | Ukasyah Zulfaqar, Shahrulakmar Nasrul Hadi, Johari Nadarajan, Chandran Guo, Baolei |
| author_sort | Ukasyah Zulfaqar, Shahrulakmar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Peripheral arterial disease (PAD), a condition caused by atherosclerosis, poses significant cardiovascular risks by disrupting blood flow. Computational fluid dynamics offers insights into vascular remodeling mechanisms, leveraging patient-specific anatomical data from computed tomography angiography (CTA) to enhance the accuracy of blood flow analysis. This study aims to evaluate the capability of an idealized arterial model in simulating hemodynamic parameters and blood flow patterns by comparing it with patient-specific geometries. Additionally, the study investigates the impact of stenosis at different locations within the femoral artery: upstream, downstream, and at the Profunda on flow disturbances and downstream regions. Blood flow was modeled as a Newtonian fluid, assuming a constant viscosity independent of shear rate, which is a reasonable approximation for femoral arteries where shear rates are typically high. Both an idealized PAD geometry and a patient-specific model derived from CTA data were employed for simulations. Results showed elevated blood velocities at bifurcations, notably at the superficial femoral artery (SFA) and profunda femoral artery, with peak velocities exceeding 1.90 m/s. Regions of low wall shear stress (WSS) were identified at key branching points and along arteries such as the popliteal and tibial arteries. The idealized model effectively replicated patient-specific flow patterns. Upstream stenosis caused severe flow disturbances, with velocities up to 3.9 m/s and Reynolds numbers (Re) of 1272 in the mainstream region, disrupting flow recovery. Downstream stenosis caused severe disturbances, with Re of 1835 beyond the bifurcations, whereas profunda stenosis had minimal effect, maintaining Re below 1000. This study emphasizes the importance of patient-specific anatomical factors in predicting stenosis and highlights the utility of idealized models for generating hemodynamic profiles. These findings enhance the pre-treatment planning and management methods for PAD patients. |
| first_indexed | 2025-11-15T04:00:59Z |
| format | Article |
| id | ump-45579 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T04:00:59Z |
| publishDate | 2025 |
| publisher | Penerbit Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-455792025-09-04T01:40:51Z https://umpir.ump.edu.my/id/eprint/45579/ CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease Ukasyah Zulfaqar, Shahrulakmar Nasrul Hadi, Johari Nadarajan, Chandran Guo, Baolei RC Internal medicine RD Surgery TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Peripheral arterial disease (PAD), a condition caused by atherosclerosis, poses significant cardiovascular risks by disrupting blood flow. Computational fluid dynamics offers insights into vascular remodeling mechanisms, leveraging patient-specific anatomical data from computed tomography angiography (CTA) to enhance the accuracy of blood flow analysis. This study aims to evaluate the capability of an idealized arterial model in simulating hemodynamic parameters and blood flow patterns by comparing it with patient-specific geometries. Additionally, the study investigates the impact of stenosis at different locations within the femoral artery: upstream, downstream, and at the Profunda on flow disturbances and downstream regions. Blood flow was modeled as a Newtonian fluid, assuming a constant viscosity independent of shear rate, which is a reasonable approximation for femoral arteries where shear rates are typically high. Both an idealized PAD geometry and a patient-specific model derived from CTA data were employed for simulations. Results showed elevated blood velocities at bifurcations, notably at the superficial femoral artery (SFA) and profunda femoral artery, with peak velocities exceeding 1.90 m/s. Regions of low wall shear stress (WSS) were identified at key branching points and along arteries such as the popliteal and tibial arteries. The idealized model effectively replicated patient-specific flow patterns. Upstream stenosis caused severe flow disturbances, with velocities up to 3.9 m/s and Reynolds numbers (Re) of 1272 in the mainstream region, disrupting flow recovery. Downstream stenosis caused severe disturbances, with Re of 1835 beyond the bifurcations, whereas profunda stenosis had minimal effect, maintaining Re below 1000. This study emphasizes the importance of patient-specific anatomical factors in predicting stenosis and highlights the utility of idealized models for generating hemodynamic profiles. These findings enhance the pre-treatment planning and management methods for PAD patients. Penerbit Universiti Malaysia Pahang 2025-09-01 Article PeerReviewed pdf en cc_by_nc_4 https://umpir.ump.edu.my/id/eprint/45579/1/CFD%20analysis%20of%20patient-specific%20and%20idealized%20models%20for%20predicting%20stenosis%20locations.pdf Ukasyah Zulfaqar, Shahrulakmar and Nasrul Hadi, Johari and Nadarajan, Chandran and Guo, Baolei (2025) CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease. International Journal of Automotive and Mechanical Engineering (IJAME), 22 (3). pp. 12627 -12639. ISSN 2180-1606. (Published) https://doi.org/10.15282/ijame.22.3.2025.8.0965 https://doi.org/10.15282/ijame.22.3.2025.8.0965 https://doi.org/10.15282/ijame.22.3.2025.8.0965 |
| spellingShingle | RC Internal medicine RD Surgery TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Ukasyah Zulfaqar, Shahrulakmar Nasrul Hadi, Johari Nadarajan, Chandran Guo, Baolei CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title | CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title_full | CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title_fullStr | CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title_full_unstemmed | CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title_short | CFD analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| title_sort | cfd analysis of patient-specific and idealized models for predicting stenosis locations and hemodynamic disturbances in peripheral arterial disease |
| topic | RC Internal medicine RD Surgery TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | https://umpir.ump.edu.my/id/eprint/45579/ https://umpir.ump.edu.my/id/eprint/45579/ https://umpir.ump.edu.my/id/eprint/45579/ |