Cargando…

Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images

Background and Objectives: 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...

Descripción completa

Detalles Bibliográficos
Autores principales: Primetis, Elias, Drakopoulos, Dionysios, Sieron, Dominik, Meusburger, Hugo, Szyluk, Karol, Niemiec, Paweł, Obmann, Verena C., Peters, Alan A., Huber, Adrian T., Ebner, Lukas, Delimpasis, Georgios, Christe, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865157/
https://www.ncbi.nlm.nih.gov/pubmed/36676651
http://dx.doi.org/10.3390/medicina59010027
_version_ 1784875766269345792
author Primetis, Elias
Drakopoulos, Dionysios
Sieron, Dominik
Meusburger, Hugo
Szyluk, Karol
Niemiec, Paweł
Obmann, Verena C.
Peters, Alan A.
Huber, Adrian T.
Ebner, Lukas
Delimpasis, Georgios
Christe, Andreas
author_facet Primetis, Elias
Drakopoulos, Dionysios
Sieron, Dominik
Meusburger, Hugo
Szyluk, Karol
Niemiec, Paweł
Obmann, Verena C.
Peters, Alan A.
Huber, Adrian T.
Ebner, Lukas
Delimpasis, Georgios
Christe, Andreas
author_sort Primetis, Elias
collection PubMed
description Background and Objectives: 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. Materials and Methods: 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. Results: 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. Conclusions: 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.
format Online
Article
Text
id pubmed-9865157
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98651572023-01-22 Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images Primetis, Elias Drakopoulos, Dionysios Sieron, Dominik Meusburger, Hugo Szyluk, Karol Niemiec, Paweł Obmann, Verena C. Peters, Alan A. Huber, Adrian T. Ebner, Lukas Delimpasis, Georgios Christe, Andreas Medicina (Kaunas) Article Background and Objectives: 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. Materials and Methods: 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. Results: 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. Conclusions: 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. MDPI 2022-12-23 /pmc/articles/PMC9865157/ /pubmed/36676651 http://dx.doi.org/10.3390/medicina59010027 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Primetis, Elias
Drakopoulos, Dionysios
Sieron, Dominik
Meusburger, Hugo
Szyluk, Karol
Niemiec, Paweł
Obmann, Verena C.
Peters, Alan A.
Huber, Adrian T.
Ebner, Lukas
Delimpasis, Georgios
Christe, Andreas
Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images
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 Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865157/
https://www.ncbi.nlm.nih.gov/pubmed/36676651
http://dx.doi.org/10.3390/medicina59010027
work_keys_str_mv AT primetiselias kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT drakopoulosdionysios kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT sierondominik kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT meusburgerhugo kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT szylukkarol kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT niemiecpaweł kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT obmannverenac kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT petersalana kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT huberadriant kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT ebnerlukas kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT delimpasisgeorgios kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages
AT christeandreas kneediameterandcrosssectionalareaasbiomarkersforcartilagekneedegenerationonmagneticresonanceimages