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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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