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Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella
Chondromalacia patella (CMP) is abnormal softening of the cartilage of the underside the patella. It is a cause of anterior knee pain. Previous study has demonstrated that the patellar cartilage hypertrophy is correlated with early signs of CMP (Grade 1 or 2). However, no studies have investigated t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443766/ https://www.ncbi.nlm.nih.gov/pubmed/37603532 http://dx.doi.org/10.1097/MD.0000000000034307 |
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author | Cho, Jaeho Yi, Jungmin Song, Yumin Kim, Young Uk |
author_facet | Cho, Jaeho Yi, Jungmin Song, Yumin Kim, Young Uk |
author_sort | Cho, Jaeho |
collection | PubMed |
description | Chondromalacia patella (CMP) is abnormal softening of the cartilage of the underside the patella. It is a cause of anterior knee pain. Previous study has demonstrated that the patellar cartilage hypertrophy is correlated with early signs of CMP (Grade 1 or 2). However, no studies have investigated the clinical cutoff value of patella cartilage hypertrophy. Thus, we devised the patellar cartilage cross-sectional area (PCCSA) as a new predictive parameter for diagnosing the CMP. The purpose of this research was to compare MR measured PCCSA between CMP patients and gender matched healthy controls. The PCCSA samples were collected from 50 patients with CMP, and from 50 healthy controls who underwent knee MRI with no evidence of CMP. The T2-weighted turbo spin echo transverse MRI images were acquired. We measured the PCCSA on MRI using a PACS system. The PCCSA was measured on the axial angled sections through the whole images by drawing outlines. The average PCCSA was 104.28 ± 23.28 mm(2) in the healthy controls and 134.09 ± 26.55 mm(2) in the CMP group. CMP patients had significantly higher PCCSA (P < .001). Regarding the validity of PCCSA as predictors of CMP, Receiver Operating Characteristic curve analysis showed that the best cutoff point for the PCCSA was 116.24 mm(2), with 72.0% sensitivity, 72.0% specificity, and the area under curve (AUC) of 0.79 (0.71–0.88). The PCCSA is a sensitive measurement parameter to predict low grade CMP. Thus, to evaluate CMP patients, the treating physician carefully inspect the PCCSA. |
format | Online Article Text |
id | pubmed-10443766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104437662023-08-23 Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella Cho, Jaeho Yi, Jungmin Song, Yumin Kim, Young Uk Medicine (Baltimore) 7000 Chondromalacia patella (CMP) is abnormal softening of the cartilage of the underside the patella. It is a cause of anterior knee pain. Previous study has demonstrated that the patellar cartilage hypertrophy is correlated with early signs of CMP (Grade 1 or 2). However, no studies have investigated the clinical cutoff value of patella cartilage hypertrophy. Thus, we devised the patellar cartilage cross-sectional area (PCCSA) as a new predictive parameter for diagnosing the CMP. The purpose of this research was to compare MR measured PCCSA between CMP patients and gender matched healthy controls. The PCCSA samples were collected from 50 patients with CMP, and from 50 healthy controls who underwent knee MRI with no evidence of CMP. The T2-weighted turbo spin echo transverse MRI images were acquired. We measured the PCCSA on MRI using a PACS system. The PCCSA was measured on the axial angled sections through the whole images by drawing outlines. The average PCCSA was 104.28 ± 23.28 mm(2) in the healthy controls and 134.09 ± 26.55 mm(2) in the CMP group. CMP patients had significantly higher PCCSA (P < .001). Regarding the validity of PCCSA as predictors of CMP, Receiver Operating Characteristic curve analysis showed that the best cutoff point for the PCCSA was 116.24 mm(2), with 72.0% sensitivity, 72.0% specificity, and the area under curve (AUC) of 0.79 (0.71–0.88). The PCCSA is a sensitive measurement parameter to predict low grade CMP. Thus, to evaluate CMP patients, the treating physician carefully inspect the PCCSA. Lippincott Williams & Wilkins 2023-08-18 /pmc/articles/PMC10443766/ /pubmed/37603532 http://dx.doi.org/10.1097/MD.0000000000034307 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 7000 Cho, Jaeho Yi, Jungmin Song, Yumin Kim, Young Uk Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title | Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title_full | Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title_fullStr | Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title_full_unstemmed | Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title_short | Assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
title_sort | assessment of patellar cartilage cross-sectional area in patients with lower grade chondromalacia patella |
topic | 7000 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443766/ https://www.ncbi.nlm.nih.gov/pubmed/37603532 http://dx.doi.org/10.1097/MD.0000000000034307 |
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