Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review
Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the knee joint, diminishing the ability of patients to perform daily physical activities. Unfortunately, there is no cure for this nearly irreversible musculoskeletal disorder. Nowadays, many researchers aim f...
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| Format: | Article |
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MDPI AG
2021-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/23/11440 |
| _version_ | 1797508094822973440 |
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| author | Alexander Paz Gustavo A. Orozco Rami K. Korhonen José J. García Mika E. Mononen |
| author_facet | Alexander Paz Gustavo A. Orozco Rami K. Korhonen José J. García Mika E. Mononen |
| author_sort | Alexander Paz |
| collection | DOAJ |
| description | Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the knee joint, diminishing the ability of patients to perform daily physical activities. Unfortunately, there is no cure for this nearly irreversible musculoskeletal disorder. Nowadays, many researchers aim for in silico-based methods to simulate personalized risks for the onset and progression of OA and evaluate the effects of different conservative preventative actions. Finite element analysis (FEA) has been considered a promising method to be developed for knee OA management. The FEA pipeline consists of three well-established phases: pre-processing, processing, and post-processing. Currently, these phases are time-consuming, making the FEA workflow cumbersome for the clinical environment. Hence, in this narrative review, we overviewed present-day trends towards clinical methods for subject-specific knee OA studies utilizing FEA. We reviewed studies focused on understanding mechanisms that initiate knee OA and expediting the FEA workflow applied to the whole-organ level. Based on the current trends we observed, we believe that forthcoming knee FEAs will provide nearly real-time predictions for the personalized risk of developing knee OA. These analyses will integrate subject-specific geometries, loading conditions, and estimations of local tissue mechanical properties. This will be achieved by combining state-of-the-art FEA workflows with automated approaches aided by machine learning techniques. |
| first_indexed | 2024-03-10T04:57:27Z |
| format | Article |
| id | doaj.art-a288b59880cb4cb88d87384f9ee27306 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T04:57:27Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a288b59880cb4cb88d87384f9ee273062023-11-23T02:08:14ZengMDPI AGApplied Sciences2076-34172021-12-0111231144010.3390/app112311440Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature ReviewAlexander Paz0Gustavo A. Orozco1Rami K. Korhonen2José J. García3Mika E. Mononen4Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandEscuela de Ingeniería Civil y Geomática, Universidad del Valle, Cali 76001, ColombiaDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandOsteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the knee joint, diminishing the ability of patients to perform daily physical activities. Unfortunately, there is no cure for this nearly irreversible musculoskeletal disorder. Nowadays, many researchers aim for in silico-based methods to simulate personalized risks for the onset and progression of OA and evaluate the effects of different conservative preventative actions. Finite element analysis (FEA) has been considered a promising method to be developed for knee OA management. The FEA pipeline consists of three well-established phases: pre-processing, processing, and post-processing. Currently, these phases are time-consuming, making the FEA workflow cumbersome for the clinical environment. Hence, in this narrative review, we overviewed present-day trends towards clinical methods for subject-specific knee OA studies utilizing FEA. We reviewed studies focused on understanding mechanisms that initiate knee OA and expediting the FEA workflow applied to the whole-organ level. Based on the current trends we observed, we believe that forthcoming knee FEAs will provide nearly real-time predictions for the personalized risk of developing knee OA. These analyses will integrate subject-specific geometries, loading conditions, and estimations of local tissue mechanical properties. This will be achieved by combining state-of-the-art FEA workflows with automated approaches aided by machine learning techniques.https://www.mdpi.com/2076-3417/11/23/11440osteoarthritisknee jointarticular cartilagefinite element analysis |
| spellingShingle | Alexander Paz Gustavo A. Orozco Rami K. Korhonen José J. García Mika E. Mononen Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review Applied Sciences osteoarthritis knee joint articular cartilage finite element analysis |
| title | Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review |
| title_full | Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review |
| title_fullStr | Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review |
| title_full_unstemmed | Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review |
| title_short | Expediting Finite Element Analyses for Subject-Specific Studies of Knee Osteoarthritis: A Literature Review |
| title_sort | expediting finite element analyses for subject specific studies of knee osteoarthritis a literature review |
| topic | osteoarthritis knee joint articular cartilage finite element analysis |
| url | https://www.mdpi.com/2076-3417/11/23/11440 |
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