Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage.
Saved in:
| Title: | Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage. |
|---|---|
| Authors: | Eskelinen, Atte S. A.1 (AUTHOR) attees@uef.fi, Mononen, Mika E.1 (AUTHOR), Venäläinen, Mikko S.2 (AUTHOR), Korhonen, Rami K.1,3 (AUTHOR), Tanska, Petri1 (AUTHOR) |
| Source: | Biomechanics & Modeling in Mechanobiology. Jun2019, Vol. 18 Issue 3, p753-778. 26p. |
| Subjects: | Articular cartilage, Cartilage, Shear strain, Disease progression, Algorithms |
| Abstract: | Post-traumatic osteoarthritis (PTOA) is a common disease, where the mechanical integrity of articular cartilage is compromised. PTOA can be a result of chondral defects formed due to injurious loading. One of the first changes around defects is proteoglycan depletion. Since there are no methods to restore injured cartilage fully back to its healthy state, preventing the onset and progression of the disease is advisable. However, this is problematic if the disease progression cannot be predicted. Thus, we developed an algorithm to predict proteoglycan loss of injured cartilage by decreasing the fixed charge density (FCD) concentration. We tested several mechanisms based on the local strains or stresses in the tissue for the FCD loss. By choosing the degeneration threshold suggested for inducing chondrocyte apoptosis and cartilage matrix damage, the algorithm driven by the maximum shear strain showed the most substantial FCD losses around the lesion. This is consistent with experimental findings in the literature. We also observed that by using coordinate system-independent strain measures and selecting the degeneration threshold in an ad hoc manner, all the resulting FCD distributions would appear qualitatively similar, i.e., the greatest FCD losses are found at the tissue adjacent to the lesion. The proposed strain-based FCD degeneration algorithm shows a great potential for predicting the progression of PTOA via biomechanical stimuli. This could allow identification of high-risk defects with an increased risk of PTOA progression. [ABSTRACT FROM AUTHOR] |
| Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 136338668 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Eskelinen%2C+Atte+S%2E+A%2E%22">Eskelinen, Atte S. A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> attees@uef.fi</i><br /><searchLink fieldCode="AR" term="%22Mononen%2C+Mika+E%2E%22">Mononen, Mika E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Venäläinen%2C+Mikko+S%2E%22">Venäläinen, Mikko S.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Korhonen%2C+Rami+K%2E%22">Korhonen, Rami K.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tanska%2C+Petri%22">Tanska, Petri</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Biomechanics+%26+Modeling+in+Mechanobiology%22">Biomechanics & Modeling in Mechanobiology</searchLink>. Jun2019, Vol. 18 Issue 3, p753-778. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Articular+cartilage%22">Articular cartilage</searchLink><br /><searchLink fieldCode="DE" term="%22Cartilage%22">Cartilage</searchLink><br /><searchLink fieldCode="DE" term="%22Shear+strain%22">Shear strain</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+progression%22">Disease progression</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Post-traumatic osteoarthritis (PTOA) is a common disease, where the mechanical integrity of articular cartilage is compromised. PTOA can be a result of chondral defects formed due to injurious loading. One of the first changes around defects is proteoglycan depletion. Since there are no methods to restore injured cartilage fully back to its healthy state, preventing the onset and progression of the disease is advisable. However, this is problematic if the disease progression cannot be predicted. Thus, we developed an algorithm to predict proteoglycan loss of injured cartilage by decreasing the fixed charge density (FCD) concentration. We tested several mechanisms based on the local strains or stresses in the tissue for the FCD loss. By choosing the degeneration threshold suggested for inducing chondrocyte apoptosis and cartilage matrix damage, the algorithm driven by the maximum shear strain showed the most substantial FCD losses around the lesion. This is consistent with experimental findings in the literature. We also observed that by using coordinate system-independent strain measures and selecting the degeneration threshold in an ad hoc manner, all the resulting FCD distributions would appear qualitatively similar, i.e., the greatest FCD losses are found at the tissue adjacent to the lesion. The proposed strain-based FCD degeneration algorithm shows a great potential for predicting the progression of PTOA via biomechanical stimuli. This could allow identification of high-risk defects with an increased risk of PTOA progression. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Biomechanics & Modeling in Mechanobiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=136338668 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10237-018-01113-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 753 Subjects: – SubjectFull: Articular cartilage Type: general – SubjectFull: Cartilage Type: general – SubjectFull: Shear strain Type: general – SubjectFull: Disease progression Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: Maximum shear strain-based algorithm can predict proteoglycan loss in damaged articular cartilage. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eskelinen, Atte S. A. – PersonEntity: Name: NameFull: Mononen, Mika E. – PersonEntity: Name: NameFull: Venäläinen, Mikko S. – PersonEntity: Name: NameFull: Korhonen, Rami K. – PersonEntity: Name: NameFull: Tanska, Petri IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 16177959 Numbering: – Type: volume Value: 18 – Type: issue Value: 3 Titles: – TitleFull: Biomechanics & Modeling in Mechanobiology Type: main |
| ResultId | 1 |
