Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images
<i>Background and Objectives</i>: Osteoarthritis (OA) of the knee is a degenerative disorder characterized by damage to the joint cartilage, pain, swelling, and walking disability. The purpose of this study was to assess whether demographic and radiologic parameters (knee diameters and k...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Medicina |
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| Online Access: | https://www.mdpi.com/1648-9144/59/1/27 |
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| author | Elias Primetis Dionysios Drakopoulos Dominik Sieron Hugo Meusburger Karol Szyluk Paweł Niemiec Verena C. Obmann Alan A. Peters Adrian T. Huber Lukas Ebner Georgios Delimpasis Andreas Christe |
| author_facet | Elias Primetis Dionysios Drakopoulos Dominik Sieron Hugo Meusburger Karol Szyluk Paweł Niemiec Verena C. Obmann Alan A. Peters Adrian T. Huber Lukas Ebner Georgios Delimpasis Andreas Christe |
| author_sort | Elias Primetis |
| collection | DOAJ |
| description | <i>Background and Objectives</i>: Osteoarthritis (OA) of the knee is a degenerative disorder characterized by damage to the joint cartilage, pain, swelling, and walking disability. The purpose of this study was to assess whether demographic and radiologic parameters (knee diameters and knee cross-sectional area from magnetic resonance (MR) images) could be used as surrogate biomarkers for the prediction of OA. <i>Materials and Methods</i>: The knee diameters and cross-sectional areas of 481 patients were measured on knee MR images, and the corresponding demographic parameters were extracted from the patients’ clinical records. The images were graded based on the modified Outerbridge arthroscopic classification that was used as ground truth. Receiver-operating characteristic (ROC) analysis was performed on the collected data. <i>Results</i>: ROC analysis established that age was the most accurate predictor of severe knee cartilage degeneration (corresponding to Outerbridge grades 3 and 4) with an area under the curve (AUC) of the specificity–sensitivity plot of 0.865 ± 0.02. An age over 41 years was associated with a sensitivity and specificity for severe degeneration of 82.8% (CI: 77.5–87.3%), and 76.4% (CI: 70.4–81.6%), respectively. The second-best degeneration predictor was the normalized knee cross-sectional area, with an AUC of 0.767 ± 0.04), followed by BMI (AUC = 0.739 ± 0.02), and normalized knee maximal diameter (AUC = 0.724 ± 0.05), meaning that knee degeneration increases with increasing knee diameter. <i>Conclusions</i>: Age is the best predictor of knee damage progression in OA and can be used as surrogate marker for knee degeneration. Knee diameters and cross-sectional area also correlate with the extent of cartilage lesions. Though less-accurate predictors of damage progression than age, they have predictive value and are therefore easily available surrogate markers of OA that can be used also by general practitioners and orthopedic surgeons. |
| first_indexed | 2024-03-09T11:45:16Z |
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| id | doaj.art-30c5d12755dd4d4cba80dbaf8052a409 |
| institution | Directory Open Access Journal |
| issn | 1010-660X 1648-9144 |
| language | English |
| last_indexed | 2024-03-09T11:45:16Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Medicina |
| spelling | doaj.art-30c5d12755dd4d4cba80dbaf8052a4092023-11-30T23:23:20ZengMDPI AGMedicina1010-660X1648-91442022-12-015912710.3390/medicina59010027Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance ImagesElias Primetis0Dionysios Drakopoulos1Dominik Sieron2Hugo Meusburger3Karol Szyluk4Paweł Niemiec5Verena C. Obmann6Alan A. Peters7Adrian T. Huber8Lukas Ebner9Georgios Delimpasis10Andreas Christe11Department of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, SwitzerlandDepartment of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, SwitzerlandDepartment of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, SwitzerlandDepartment of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, SwitzerlandDepartment of Physiotherapy, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 Katowice, PolandDepartment of Biochemistry and Medical Genetics, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, 40-752 Katowice, PolandDepartment of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandDepartment of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, SwitzerlandDepartment of Radiology SLS, Inselgroup, Bern University Hospital, University of Bern, Freiburgstrasse 10, 3010 Bern, Switzerland<i>Background and Objectives</i>: Osteoarthritis (OA) of the knee is a degenerative disorder characterized by damage to the joint cartilage, pain, swelling, and walking disability. The purpose of this study was to assess whether demographic and radiologic parameters (knee diameters and knee cross-sectional area from magnetic resonance (MR) images) could be used as surrogate biomarkers for the prediction of OA. <i>Materials and Methods</i>: The knee diameters and cross-sectional areas of 481 patients were measured on knee MR images, and the corresponding demographic parameters were extracted from the patients’ clinical records. The images were graded based on the modified Outerbridge arthroscopic classification that was used as ground truth. Receiver-operating characteristic (ROC) analysis was performed on the collected data. <i>Results</i>: ROC analysis established that age was the most accurate predictor of severe knee cartilage degeneration (corresponding to Outerbridge grades 3 and 4) with an area under the curve (AUC) of the specificity–sensitivity plot of 0.865 ± 0.02. An age over 41 years was associated with a sensitivity and specificity for severe degeneration of 82.8% (CI: 77.5–87.3%), and 76.4% (CI: 70.4–81.6%), respectively. The second-best degeneration predictor was the normalized knee cross-sectional area, with an AUC of 0.767 ± 0.04), followed by BMI (AUC = 0.739 ± 0.02), and normalized knee maximal diameter (AUC = 0.724 ± 0.05), meaning that knee degeneration increases with increasing knee diameter. <i>Conclusions</i>: Age is the best predictor of knee damage progression in OA and can be used as surrogate marker for knee degeneration. Knee diameters and cross-sectional area also correlate with the extent of cartilage lesions. Though less-accurate predictors of damage progression than age, they have predictive value and are therefore easily available surrogate markers of OA that can be used also by general practitioners and orthopedic surgeons.https://www.mdpi.com/1648-9144/59/1/27Outerbridgechondromalaciaagingbody mass indexdegenerationmagnetic resonance imaging |
| spellingShingle | Elias Primetis Dionysios Drakopoulos Dominik Sieron Hugo Meusburger Karol Szyluk Paweł Niemiec Verena C. Obmann Alan A. Peters Adrian T. Huber Lukas Ebner Georgios Delimpasis Andreas Christe Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images Medicina Outerbridge chondromalacia aging body mass index degeneration magnetic resonance imaging |
| title | Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images |
| title_full | Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images |
| title_fullStr | Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images |
| title_full_unstemmed | Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images |
| title_short | Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images |
| title_sort | knee diameter and cross sectional area as biomarkers for cartilage knee degeneration on magnetic resonance images |
| topic | Outerbridge chondromalacia aging body mass index degeneration magnetic resonance imaging |
| url | https://www.mdpi.com/1648-9144/59/1/27 |
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