Cargando…
Can MRI knee joint measurements predict the population at risk of ACL injury?
BACKGROUND: Anterior cruciate ligament (ACL) injuries have been increasing significantly over time. The relationship between the ACL injury and the knee joint structures is poorly understood. The purpose of this study is to examine whether the measurements of different structures in the knee joint a...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161517/ https://www.ncbi.nlm.nih.gov/pubmed/35655282 http://dx.doi.org/10.1186/s13102-022-00495-1 |
_version_ | 1784719502106165248 |
---|---|
author | Hamdan, Mohammad Haddad, Bassem Alshrouf, Mohammad Ali Azzam, Muayad I. Isleem, Ula Hamasha, Reem Albtoush, Omar M. Alhusban, Muna Tayel Mubarak, Nidaa Alryalat, Saif Aldeen |
author_facet | Hamdan, Mohammad Haddad, Bassem Alshrouf, Mohammad Ali Azzam, Muayad I. Isleem, Ula Hamasha, Reem Albtoush, Omar M. Alhusban, Muna Tayel Mubarak, Nidaa Alryalat, Saif Aldeen |
author_sort | Hamdan, Mohammad |
collection | PubMed |
description | BACKGROUND: Anterior cruciate ligament (ACL) injuries have been increasing significantly over time. The relationship between the ACL injury and the knee joint structures is poorly understood. The purpose of this study is to examine whether the measurements of different structures in the knee joint are linked with ACL injury in affected patients. METHODS: This retrospective case–control study included patients who suffered from ACL tears and underwent magnetic resonance imaging (MRI). A control group of patients with no knee pathologies on MRI was included. Fourteen knee variables, including lateral meniscus (LM) posterior horn height, length, depth, and volume; medial meniscus (MM) posterior horn height, length, depth, and volume; lateral and medial (MFC) femoral condyle sphere diameter; lateral and medial tibial plateau length; and patella tendon horizontal and vertical diameter, were collected. A multivariate logistic regression including LM posterior horn depth, MM posterior horn length, MM volume, MFC sphere diameter, and patella tendon horizontal diameter and receiver operating characteristic curve, was used to compare the two groups. RESULTS: A total of 85 patients were included in our study; 54 suffered from ACL injuries and 31 as a control group with normal knee MRI. Logistic regression revealed that increased LM posterior horn depth (OR = 1.27; 95% CI = 1.03–1.56; p = 0.028), decreased MM posterior horn length (OR = 0.71; 95% CI = 0.55–0.93; p = 0.013), and MFC sphere diameter (OR = 1.20; 95% CI = 1.01–1.43; p = 0.035) were independent risk factors for ACL rupture. The MFC sphere diameter yielded the highest area under the curve: 0.747 (95% CI, 0.632–0.862). No difference was found in the other measurements between the two groups. CONCLUSIONS: Concerning the difference in anatomical variations, the lateral meniscus posterior horn depth and medial femoral condyle sphere diameter were higher, while medial meniscus posterior horn length was lower in patients with an ACL injury. These structural knee measurements could have a possible increase in the likelihood of sustaining an ACL injury and can be used by clinicians to predict ACL injury. |
format | Online Article Text |
id | pubmed-9161517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91615172022-06-03 Can MRI knee joint measurements predict the population at risk of ACL injury? Hamdan, Mohammad Haddad, Bassem Alshrouf, Mohammad Ali Azzam, Muayad I. Isleem, Ula Hamasha, Reem Albtoush, Omar M. Alhusban, Muna Tayel Mubarak, Nidaa Alryalat, Saif Aldeen BMC Sports Sci Med Rehabil Research BACKGROUND: Anterior cruciate ligament (ACL) injuries have been increasing significantly over time. The relationship between the ACL injury and the knee joint structures is poorly understood. The purpose of this study is to examine whether the measurements of different structures in the knee joint are linked with ACL injury in affected patients. METHODS: This retrospective case–control study included patients who suffered from ACL tears and underwent magnetic resonance imaging (MRI). A control group of patients with no knee pathologies on MRI was included. Fourteen knee variables, including lateral meniscus (LM) posterior horn height, length, depth, and volume; medial meniscus (MM) posterior horn height, length, depth, and volume; lateral and medial (MFC) femoral condyle sphere diameter; lateral and medial tibial plateau length; and patella tendon horizontal and vertical diameter, were collected. A multivariate logistic regression including LM posterior horn depth, MM posterior horn length, MM volume, MFC sphere diameter, and patella tendon horizontal diameter and receiver operating characteristic curve, was used to compare the two groups. RESULTS: A total of 85 patients were included in our study; 54 suffered from ACL injuries and 31 as a control group with normal knee MRI. Logistic regression revealed that increased LM posterior horn depth (OR = 1.27; 95% CI = 1.03–1.56; p = 0.028), decreased MM posterior horn length (OR = 0.71; 95% CI = 0.55–0.93; p = 0.013), and MFC sphere diameter (OR = 1.20; 95% CI = 1.01–1.43; p = 0.035) were independent risk factors for ACL rupture. The MFC sphere diameter yielded the highest area under the curve: 0.747 (95% CI, 0.632–0.862). No difference was found in the other measurements between the two groups. CONCLUSIONS: Concerning the difference in anatomical variations, the lateral meniscus posterior horn depth and medial femoral condyle sphere diameter were higher, while medial meniscus posterior horn length was lower in patients with an ACL injury. These structural knee measurements could have a possible increase in the likelihood of sustaining an ACL injury and can be used by clinicians to predict ACL injury. BioMed Central 2022-06-02 /pmc/articles/PMC9161517/ /pubmed/35655282 http://dx.doi.org/10.1186/s13102-022-00495-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hamdan, Mohammad Haddad, Bassem Alshrouf, Mohammad Ali Azzam, Muayad I. Isleem, Ula Hamasha, Reem Albtoush, Omar M. Alhusban, Muna Tayel Mubarak, Nidaa Alryalat, Saif Aldeen Can MRI knee joint measurements predict the population at risk of ACL injury? |
title | Can MRI knee joint measurements predict the population at risk of ACL injury? |
title_full | Can MRI knee joint measurements predict the population at risk of ACL injury? |
title_fullStr | Can MRI knee joint measurements predict the population at risk of ACL injury? |
title_full_unstemmed | Can MRI knee joint measurements predict the population at risk of ACL injury? |
title_short | Can MRI knee joint measurements predict the population at risk of ACL injury? |
title_sort | can mri knee joint measurements predict the population at risk of acl injury? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161517/ https://www.ncbi.nlm.nih.gov/pubmed/35655282 http://dx.doi.org/10.1186/s13102-022-00495-1 |
work_keys_str_mv | AT hamdanmohammad canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT haddadbassem canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT alshroufmohammadali canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT azzammuayadi canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT isleemula canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT hamashareem canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT albtoushomarm canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT alhusbanmunatayel canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT mubaraknidaa canmrikneejointmeasurementspredictthepopulationatriskofaclinjury AT alryalatsaifaldeen canmrikneejointmeasurementspredictthepopulationatriskofaclinjury |