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      Compressed Lateral and anteroposterior Anatomical Systematic Sequences «CLASS»: compressed MRI sequences with assessed anatomical femoral and tibial ACL's footprints, a feasibility study

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          Abstract

          Purpose

          This study's main objective is to assess the feasibility of processing the MRI information with identified ACL-footprints into 2D-images similar to a conventional anteroposterior and lateral X-Ray image of the knee. The secondary aim is to conduct specific measurements to assess the reliability and reproducibility. This study is a proof of concept of this technique.

          Methods

          Five anonymised MRIs of a right knee were analysed. A orthopaedic knee surgeon performed the footprints identification. An ad-hoc software allowed a volumetric 3D image projection on a 2D anteroposterior and lateral view. The previously defined anatomical femoral and tibial footprints were precisely identified on these views. Several parameters were measured (e.g. coronal and sagittal ratio of tibial footprint, sagittal ratio of femoral footprint, femoral intercondylar notch roof angle, proximal tibial slope and others). The intraclass correlation coefficient (ICCs), including 95% confidence intervals (CIs), has been calculated to assess intraobserver reproducibility and interobserver reliability.

          Results

          Five MRI scans of a right knee have been assessed (three females, two males, mean age of 30.8 years old). Five 2D-"CLASS" have been created. The measured parameters showed a " substantial" to " almost perfect" reproducibility and an " almost perfect" reliability.

          Conclusion

          This study confirmed the possibility of generating "CLASS" with the localised centroid of the femoral and tibial ACL footprints from a 3D volumetric model. "CLASS" also showed that these footprints were easily identified on standard anteroposterior and lateral X-Ray views of the same patient, thus allowing an individual identification of the anatomical femoral and tibial ACL's footprints.

          Level of evidence

          Level IV diagnostic study

          Related collections

          Most cited references26

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Epidemiology of athletic knee injuries: A 10-year study.

            The knee is an anatomically and biomechanically complex joint. Few studies have been published reporting the type and frequency of knee injuries. However, this information that may help to prevent, diagnose, and treat knee joint injuries. We have documented 17,397 patients with 19,530 sport injuries over a 10-year period of time. 6434 patients (37%) had 7769 injuries (39.8%) related to the knee joint. 68.1% of those patients were men and 31.6% were women. Almost 50% of the patients were between the ages of 20-29 (43.1%) at the time of injury. The injuries documented were ACL lesion (20.3%), medial meniscus lesion (10.8%), lateral meniscus lesion (3.7%), MCL lesion (7.9%), LCL lesion (1.1%), and PCL lesion (0.65%). The activities leading to most injuries were soccer (35%) and skiing (26%). LCL injury was associated with tennis and gymnastics, MCL with judo and skiing, ACL with handball and volleyball, PCL with handball, lateral meniscus with gymnastics and dancing, and medial meniscus with tennis and jogging.
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              Erratum to: Fluid signal changes around the knee on MRI are associated with increased volumes of subcutaneous fat: a case-control study

              Erratum After publication of the original article [1], it became apparent that the family and given names of the corresponding author had been inadvertently switched during production of the manuscript. Trevor Gaunt’s name appears correctly in this erratum, and the author list in the original article has been updated.
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                Author and article information

                Contributors
                g_thuerig@yahoo.de
                raul.panadero@ibv.org
                luca.giovannelli@ibv.org
                franziska.Kocher@h-fr.ch
                joseluis.peris@ibv.upv.es
                moritz.tannast@h-fr.ch
                daniel.petek@h-fr.ch
                Journal
                J Exp Orthop
                J Exp Orthop
                Journal of Experimental Orthopaedics
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                2197-1153
                12 January 2022
                12 January 2022
                December 2022
                : 9
                : 8
                Affiliations
                [1 ]GRID grid.8534.a, ISNI 0000 0004 0478 1713, Department of Orthopaedic Surgery and Traumatology, , Hospital and University of Fribourg, ; CH-1700 Fribourg, Switzerland
                [2 ]GRID grid.157927.f, ISNI 0000 0004 1770 5832, Biomechanics Institute of Valencia, Universitat Politècnica de València, ; Camino de Vera, 46022 Valencia, Spain
                [3 ]GRID grid.157927.f, ISNI 0000 0004 1770 5832, Healthcare Technology Group;Networking Biomedical Research Centre in Bioengineering, Biomaterials and Nanomedicine; Biomechanics Institute of Valencia, , Universitat Politècnica de València, ; Camino de Vera, 4602 Valencia, Spain
                Author information
                http://orcid.org/0000-0003-1164-3426
                Article
                445
                10.1186/s40634-022-00445-3
                8755866
                35020070
                1ff6eea8-7b54-4851-9430-fc6f120024eb
                © The Author(s) 2022

                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/.

                History
                : 27 September 2021
                : 7 January 2022
                Categories
                Original Paper
                Custom metadata
                © The Author(s) 2022

                knee,acl footprints,mri
                knee, acl footprints, mri

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