1
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Sugimoto D, Micheli LJ, Meehan WP. Lower Extremity Strength Relative to Body Mass in Pediatric Female Athletes: Implications for Anterior Cruciate Ligament Injury. Clin Pediatr (Phila) 2024; 63:1239-1246. [PMID: 38053390 DOI: 10.1177/00099228231216316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
This study compared lower extremity (LE) muscular strength by 3 groups of female athletes using chronological age and consideration of age of peak height velocity (PHV). Isometric quadriceps, hamstrings, and hip abductors strength were assessed from physically active, pediatric females. The body mass normalized isometric strength (N m/kg) was compared by the 3 age groups. There were 388 young female athletes (<10 years [14.2%], 11-14 years [48.7%], and 15-18 years [37.1%]). The body mass normalized LE strength was lower in 11-14 years compared with <10 years (quadriceps [P = .001], hamstrings [P = .001], and hip abductors [P = .037]) as well as in 15-18 years relative to <10 years in quadriceps (P = .001) and hamstrings (P = .001). The analysis results were consistent with both chronological age alone and incorporating effects of age of PHV. In short, body mass normalized LE strength (quadriceps, hamstrings, and hip abductors) of 11-14 years females was lower than <10 years females.
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Affiliation(s)
- Dai Sugimoto
- Faculty of Sport Sciences, Waseda University, Tokyo, Japan
- The Micheli Center for Sports Injury Prevention, Waltham, MA, USA
| | - Lyle J Micheli
- The Micheli Center for Sports Injury Prevention, Waltham, MA, USA
- Department of Orthopaedics and Sports Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - William P Meehan
- The Micheli Center for Sports Injury Prevention, Waltham, MA, USA
- Department of Orthopaedics and Sports Medicine, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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2
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Butcher AJ, Ward S, Clissold T, Richards J, Hébert-Losier K. Maturation and biomechanical risk factors associated with anterior cruciate ligament injury: Is there a link? A systematic review. Phys Ther Sport 2024; 68:31-50. [PMID: 38908221 DOI: 10.1016/j.ptsp.2024.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/09/2024] [Accepted: 06/10/2024] [Indexed: 06/24/2024]
Abstract
OBJECTIVE To establish the potential link between sex-specific maturation and biomechanical factors associated with ACL injury during dynamic tasks. DESIGN Systematic review. LITERATURE SEARCH Five databases (CINHAL®, Cochrane Library, PubMed®, Scopus®, and SPORTDiscus) were searched and monitored until 27 May 2024. STUDY SELECTION CRITERIA Cross-sectional, cohort, case-control, or interventional studies reporting one or more biomechanical variable linked with ACL injury and which assessed participants across two or more maturation phases were considered eligible. DATA SYNTHESIS Studies were assessed for risk of bias using a modified version of the Newcastle Ottawa Scale and overall quality of evidence was rated using GRADE. Metrics and effect sizes were presented where available. RESULTS Eighteen included studies examined 400 males, 1377 females, and 315 participants of undefined sex across various maturation phases. The methodological quality of most studies (n = 16) was considered good, and satisfactory for two. Knee abduction angle, knee abduction moment, knee flexion angle, and ground reaction forces were most commonly reported. Knee abduction angles and moments and knee flexion angles were greater in late and post-pubertal females than males and pre-pubertal females during both landing and cutting tasks. When normalised for body mass, ground reaction forces were generally greater in males compared to females overall and for less mature participants for both sexes. Overall quality of evidence was low or medium across the four biomechanical measures. CONCLUSION Sex-specific maturation considerations are important in the targeted development and implementation of ACL injury risk identification and prevention strategies.
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Affiliation(s)
- Anna J Butcher
- Division of Health, Engineering, Computing and Science, Te Huataki Waiora School of Health, University of Waikato, Adams Centre for High Performance, 52 Miro Street, 3116, Tauranga, New Zealand.
| | - Sarah Ward
- Department of Exercise Sciences, University of Auckland, Suiter Street, Newmarket, New Zealand. https://twitter.com/sarahward_nz
| | - Tracey Clissold
- Toi Ohomai Institute of Technology, 70 Windermere Drive, Poike, 3112, Tauranga, New Zealand
| | - Jim Richards
- Allied Health Research Unit, University of Central Lancashire, Preston, England, United Kingdom. https://twitter.com/ProfJimRichards
| | - Kim Hébert-Losier
- Division of Health, Engineering, Computing and Science, Te Huataki Waiora School of Health, University of Waikato, Adams Centre for High Performance, 52 Miro Street, 3116, Tauranga, New Zealand. https://twitter.com/KimHebertLosier
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3
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Bertozzi F, Fischer PD, Hutchison KA, Zago M, Sforza C, Monfort SM. Associations Between Cognitive Function and ACL Injury-Related Biomechanics: A Systematic Review. Sports Health 2023; 15:855-866. [PMID: 36680310 PMCID: PMC10606969 DOI: 10.1177/19417381221146557] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
CONTEXT Does lower baseline cognitive function predispose athletes to ACL injury risk, especially when performing unplanned or dual-task movements? OBJECTIVE To evaluate the association between cognitive function and biomechanics related to ACL injuries during cognitively challenging sports movements. DATA SOURCES PubMed (MEDLINE), Web of Science, Scopus, and SciELO databases were searched; additional hand searching was also conducted. STUDY SELECTION The following inclusion criteria had to be met: participants completed (1) a neurocognitive test, (2) a cognitively challenging sport-related task involving lower limbs, and (3) a biomechanical analysis. The following criteria determined exclusion from the review: studies involving participants with (1) recent or current musculoskeletal injuries; (2) recent or current concussion; (3) ACL surgical reconstruction, reviews of the literature, commentary or opinion articles, and case studies. STUDY DESIGN Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) statement and registered at the International Prospective Register of Systematic Reviews (PROSPERO). LEVEL OF EVIDENCE Level 3. DATA EXTRACTION Two of authors independently extracted data and assessed the methodological quality of the articles with the Downs and Black and ROBINS-I checklists, to assess methodological quality and risk of bias, respectively. RESULTS Six studies with different methodologies and confounding factors were included in this review. Of these 6 studies, 3 were ranked as high-quality, 3 demonstrated a low risk of bias, 2 a moderate risk, and 1 a severe risk. Five studies found a cognitive-motor relationship, with worse cognitive performance associated with increased injury risk, with 1 study reporting the opposite directionality for 1 variable. One study did not identify any interaction between cognitive function and biomechanical outcomes. CONCLUSION Worse cognitive performance is associated with an increased injury risk profile during cognitively challenging movements.
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Affiliation(s)
- Filippo Bertozzi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
- Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy
- E4Sport Laboratory, Politecnico di Milano, Milan, Italy
| | - Patrick D. Fischer
- Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana
| | | | - Matteo Zago
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Chiarella Sforza
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy
| | - Scott M. Monfort
- Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana
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Heering T, Rolley TL, Lander N, Fox A, Barnett LM, Duncan MJ. Identifying modifiable risk factors and screening strategies associated with anterior cruciate ligament injury risk in children aged 6 to 13 years: A systematic review. J Sports Sci 2023; 41:1337-1362. [PMID: 37930935 DOI: 10.1080/02640414.2023.2268900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/03/2023] [Indexed: 11/08/2023]
Abstract
Growing anterior cruciate ligament (ACL) injury incidence is reported in countries across Europe, North America and in Australia for 5-14-year-olds, yet research on injury risk reduction predominantly focuses on populations aged > 13 years. For injury risk reduction, it is crucial to understand (i) which modifiable risk factors are associated with ACL injury in children (6-13 years) and (ii) how these risk factors are assessed. Articles were grouped according to sex/gender and/or maturational/age differences and examined modifiable risk factors during different physical screening tasks. The included articles (n = 40) predominantly examined intrinsic risk factors in girls aged 10-13 years. Factors mechanically linked to increased ACL loading at this age included increased peak knee adductor moments, knee valgus angles, hip and knee extension, and ground reaction forces. Assessment focused on laboratory-based assessments (e.g., motion capture, force plates). This review concluded that modifiable risk factors are present in children aged 6-13 years and that injury risk reduction strategies should be implemented as early as possible regardless of sex/gender. Further, screening strategies need updating to be childhood specific and feasible for the wide community. Additional research on extrinsic risk factors, norm values and children aged 6-9 years could allow for more targeted risk reduction strategies.
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Affiliation(s)
- Theresa Heering
- Centre of Physical Activity, Sport and Exercise Science, Coventry University, Coventry, UK
- School of Health and Social Development, Deakin University, Victoria, Australia
| | - Tess L Rolley
- School of Exercise and Nutrition Science, Deakin University, Victoria, Australia
| | - Natalie Lander
- Institute for Physical Activity and Nutrition, Deakin University, Victoria, Australia
| | - Aaron Fox
- School of Exercise and Nutrition Science, Deakin University, Victoria, Australia
| | - Lisa M Barnett
- School of Health and Social Development, Deakin University, Victoria, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Victoria, Australia
| | - Michael J Duncan
- Centre of Physical Activity, Sport and Exercise Science, Coventry University, Coventry, UK
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5
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Lloyd DG, Saxby DJ, Pizzolato C, Worsey M, Diamond LE, Palipana D, Bourne M, de Sousa AC, Mannan MMN, Nasseri A, Perevoshchikova N, Maharaj J, Crossley C, Quinn A, Mulholland K, Collings T, Xia Z, Cornish B, Devaprakash D, Lenton G, Barrett RS. Maintaining soldier musculoskeletal health using personalised digital humans, wearables and/or computer vision. J Sci Med Sport 2023:S1440-2440(23)00070-1. [PMID: 37149408 DOI: 10.1016/j.jsams.2023.04.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 05/08/2023]
Abstract
OBJECTIVES The physical demands of military service place soldiers at risk of musculoskeletal injuries and are major concerns for military capability. This paper outlines the development new training technologies to prevent and manage these injuries. DESIGN Narrative review. METHODS Technologies suitable for integration into next-generation training devices were examined. We considered the capability of technologies to target tissue level mechanics, provide appropriate real-time feedback, and their useability in-the-field. RESULTS Musculoskeletal tissues' health depends on their functional mechanical environment experienced in military activities, training and rehabilitation. These environments result from the interactions between tissue motion, loading, biology, and morphology. Maintaining health of and/or repairing joint tissues requires targeting the "ideal" in vivo tissue mechanics (i.e., loading and strain), which may be enabled by real-time biofeedback. Recent research has shown that these biofeedback technologies are possible by integrating a patient's personalised digital twin and wireless wearable devices. Personalised digital twins are personalised neuromusculoskeletal rigid body and finite element models that work in real-time by code optimisation and artificial intelligence. Model personalisation is crucial in obtaining physically and physiologically valid predictions. CONCLUSIONS Recent work has shown that laboratory-quality biomechanical measurements and modelling can be performed outside the laboratory with a small number of wearable sensors or computer vision methods. The next stage is to combine these technologies into well-designed easy to use products.
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Affiliation(s)
- David G Lloyd
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia.
| | - David J Saxby
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Claudio Pizzolato
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Matthew Worsey
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Laura E Diamond
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Dinesh Palipana
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Medicine, Dentistry and Health, Griffith University, Australia
| | - Matthew Bourne
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Ana Cardoso de Sousa
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Malik Muhammad Naeem Mannan
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Azadeh Nasseri
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Nataliya Perevoshchikova
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Jayishni Maharaj
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Claire Crossley
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Alastair Quinn
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Kyle Mulholland
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Tyler Collings
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Zhengliang Xia
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia
| | - Bradley Cornish
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
| | - Daniel Devaprakash
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; VALD Performance, Australia
| | | | - Rodney S Barrett
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland and Advanced Design and Prototyping Technologies Institute, Australia; School of Health Sciences and Social Work, Griffith University, Australia
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6
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Menghini D, Kaushal SG, Flannery SW, Ecklund K, Murray MM, Fleming BC, Kiapour AM. Three-dimensional magnetic resonance imaging analysis shows sex-specific patterns in changes in anterior cruciate ligament cross-sectional area along its length. J Orthop Res 2023; 41:771-778. [PMID: 35803594 PMCID: PMC9825677 DOI: 10.1002/jor.25413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 06/29/2022] [Accepted: 07/02/2022] [Indexed: 02/04/2023]
Abstract
Smaller anterior cruciate ligament (ACL) size in females has been hypothesized to be a key contributor to a higher incidence of ACL tears in that population, as a lower cross-sectional area (CSA) directly corresponds to a larger stress on the ligament for a given load. Prior studies have used a mid-length CSA measurement to quantify ACL size. In this study, we used magnetic resonance imaging to quantify the CSA along the entire length of the intact ACL. We hypothesized that changes in the ACL CSA along its length would have different patterns in males and females. We also hypothesized that changes in ACL CSA along its length would be associated with body size or knee size with different associations in females and males. MR images of contralateral ACL-intact knees of 108 patients (62 females, 13-35 years) undergoing ACL surgery were used to measure the CSA along the ACL length, using a custom program. For both females and males, the largest CSA was located at 37%-39% of ACL length from the tibial insertion. Compared to females, males had a significantly larger CSA only within the distal 41% of the ACL (p < 0.001). ACL CSA was associated with patient height and weight in males (r > 0.3; p < 0.05), whereas it was associated with intercondylar notch width in females (r > 0.3; p < 0.05). These findings highlight the importance of standardizing the location of measurement of ACL CSA.
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Affiliation(s)
- Danilo Menghini
- Department of Orthopaedic Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
- Department of Health Sciences and Technology, ETH Zurich, CH-8092 Zurich, Switzerland
| | - Shankar G. Kaushal
- Department of Orthopaedic Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Sean W. Flannery
- Department of Orthopaedics, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence RI 02818
| | - Kirsten Ecklund
- Department of Radiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Martha M. Murray
- Department of Orthopaedic Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
| | - Braden C. Fleming
- Department of Orthopaedics, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence RI 02818
| | - Ata M. Kiapour
- Department of Orthopaedic Surgery, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115
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7
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Nasseri A, Akhundov R, Bryant AL, Lloyd DG, Saxby DJ. Limiting the Use of Electromyography and Ground Reaction Force Data Changes the Magnitude and Ranking of Modelled Anterior Cruciate Ligament Forces. Bioengineering (Basel) 2023; 10:bioengineering10030369. [PMID: 36978760 PMCID: PMC10045248 DOI: 10.3390/bioengineering10030369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/09/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
Neuromusculoskeletal models often require three-dimensional (3D) body motions, ground reaction forces (GRF), and electromyography (EMG) as input data. Acquiring these data in real-world settings is challenging, with barriers such as the cost of instruments, setup time, and operator skills to correctly acquire and interpret data. This study investigated the consequences of limiting EMG and GRF data on modelled anterior cruciate ligament (ACL) forces during a drop–land–jump task in late-/post-pubertal females. We compared ACL forces generated by a reference model (i.e., EMG-informed neural mode combined with 3D GRF) to those generated by an EMG-informed with only vertical GRF, static optimisation with 3D GRF, and static optimisation with only vertical GRF. Results indicated ACL force magnitude during landing (when ACL injury typically occurs) was significantly overestimated if only vertical GRF were used for either EMG-informed or static optimisation neural modes. If 3D GRF were used in combination with static optimisation, ACL force was marginally overestimated compared to the reference model. None of the alternative models maintained rank order of ACL loading magnitudes generated by the reference model. Finally, we observed substantial variability across the study sample in response to limiting EMG and GRF data, indicating need for methods incorporating subject-specific measures of muscle activation patterns and external loading when modelling ACL loading during dynamic motor tasks.
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Affiliation(s)
- Azadeh Nasseri
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia
- Correspondence:
| | - Riad Akhundov
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia
| | - Adam L. Bryant
- Centre for Health, Exercise & Sports Medicine, University of Melbourne, Melbourne, VIC 3010, Australia
| | - David G. Lloyd
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia
| | - David J. Saxby
- Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia
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Cadens M, Planas-Anzano A, Peirau-Terés X, Benet-Vigo A, Fort-Vanmeerhaeghe A. Neuromuscular and Biomechanical Jumping and Landing Deficits in Young Female Handball Players. BIOLOGY 2023; 12:biology12010134. [PMID: 36671826 PMCID: PMC9855848 DOI: 10.3390/biology12010134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/09/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023]
Abstract
Neuromuscular and biomechanical imbalances that exist in jumping and landing actions should be examined in order to intervene to decrease the risk of ACL injury. The main aim of this study was to analyse and compare, by chronological age, jumping and landing deficits in young female handball players using the Tuck Jump Assessment (TJA). A secondary aim was to relate the qualitative asymmetry values detected using the TJA to the quantitative asymmetry values detected starting from the single leg countermovement jump (SL-CMJ). Sixty-one young female handball players (age: 14.3 ± 1.5 years) were distributed into three groups: U12, U14 and U16 and performed the TJA test and the single leg countermovement jump (SL-CMJ). The female U12 category players obtained the highest scores in the TJA and there were significant differences between the U12 (12.11 ± 1.97) and U14 (10.89 ± 1.74) categories (p = 0.017; ES = 0.374). In the U12 category, the female players presented larger interlimb asymmetry magnitudes in the SL-CMJ test; they also obtained higher scores in the qualitative criteria of the TJA test that referred to asymmetry (r = 0.43; p = 0.027). The analysis of the jumping and landing pattern using TJA allowed us to identify that the lower extremity valgus at landing, foot contact timing not equal and landing contact noise are the main biomechanical deficits in young female handball players. Furthermore, the asymmetry values assessed qualitatively (TJA) are associated with the asymmetry values assessed quantitatively (difference in jump achieved with each limb in the SL-CMJ test) in younger categories.
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Affiliation(s)
- Maria Cadens
- Research Group into Human Movement, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain
- Correspondence:
| | - Antoni Planas-Anzano
- Research Group into Human Movement, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain
| | - Xavier Peirau-Terés
- Research Group into Human Movement, National Institute of Physical Education of Catalonia (INEFC), University of Lleida (UdL), 25192 Lleida, Spain
| | - Ariadna Benet-Vigo
- Department of Sports Sciences, FCS Blanquerna, Ramon Llull University, 08022 Barcelona, Spain
| | - Azahara Fort-Vanmeerhaeghe
- Department of Sports Sciences, FPCEE and FCS Blanquerna, Ramon Llull University, 08022 Barcelona, Spain
- Segle XXI Female Basketball Team, Catalan Federation of Basketball, 08950 Esplugues de Llobregat, Spain
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9
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Menghini D, Kaushal SG, Flannery SW, Ecklund K, Murray MM, Fleming BC, Kiapour AM, Proffen B, Sant N, Portilla G, Sanborn R, Freiberger C, Henderson R, Barnett S, Yen YM, Kramer DE, Micheli LJ. Changes in the Cross-Sectional Profile of Treated Anterior Cruciate Ligament Within 2 Years After Surgery. Orthop J Sports Med 2022; 10:23259671221127326. [PMID: 36263311 PMCID: PMC9575446 DOI: 10.1177/23259671221127326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/02/2022] [Indexed: 11/07/2022] Open
Abstract
Background: The cross-sectional area (CSA) of the anterior cruciate ligament (ACL) and
reconstructed graft has direct implications on its strength and knee
function. Little is known regarding how the CSA changes along the ligament
length and how those changes vary between treated and native ligaments over
time. Hypothesis: It was hypothesized that (1) the CSA of reconstructed ACLs and restored ACLs
via bridge-enhanced ACL restoration (BEAR) is heterogeneous along the
length. (2) Differences in CSA between treated and native ACLs decrease over
time. (3) CSA of the surgically treated ACLs is correlated significantly
with body size (ie, height, weight, body mass index) and knee size (ie,
bicondylar and notch width). Study Design: Cohort study; Level of evidence, 2. Methods: Magnetic resonance imaging scans of treated and contralateral knees of 98
patients (n = 33 ACL reconstruction, 65 BEAR) at 6, 12, and 24 months
post-operation were used to measure the ligament CSA at 1% increments along
the ACL length (tibial insertion, 0%; femoral insertion, 100%). Statistical
parametric mapping was used to evaluate the differences in CSA between 6 and
24 months. Correlations between body and knee size and treated ligament CSA
along its length were also assessed. Results: Hamstring autografts had larger CSAs than native ACLs at all time points
(P < .001), with region of difference decreasing
from proximal 95% of length (6 months) to proximal 77% of length (24
months). Restored ACLs had larger CSAs than native ACLs at 6 and 12 months,
with larger than native CSA only along a small midsubstance region at 24
months (P < .001). Graft CSA was correlated
significantly with weight (6 and 12 months), bicondylar width (all time
points), and notch width (24 months). Restored ACL CSA was significantly
correlated with bicondylar width (6 months) and notch width (6 and 12
months). Conclusion: Surgically treated ACLs remodel continuously within the first 2 years after
surgery, leading to ligaments/grafts with heterogeneous CSAs along the
length, similar to the native ACL. While reconstructed ACLs remained
significantly larger, the restored ACL had a CSA profile comparable with
that of the contralateral native ACL. In addition to size and morphology
differences, there were fundamental differences in factors contributing to
CSA profile between the ACL reconstruction and BEAR procedures. Registration: NCT 02664545 (ClinicalTrials.gov
identifier).
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Affiliation(s)
| | | | | | | | | | | | | | - Ata M. Kiapour
- Ata M. Kiapour PhD, MMSc, Department of Orthopedic Surgery,
Boston Children’s Hospital, Harvard Medical School, 300 Longwood Avenue, Boston,
MA 02115, USA (
)
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10
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Shi B, Barzan M, Nasseri A, Carty CP, Lloyd DG, Davico G, Maharaj JN, Diamond LE, Saxby DJ. Development of predictive statistical shape models for paediatric lower limb bones. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 225:107002. [PMID: 35882107 DOI: 10.1016/j.cmpb.2022.107002] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 06/24/2022] [Accepted: 07/01/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE Accurate representation of bone shape is important for subject-specific musculoskeletal models as it may influence modelling of joint kinematics, kinetics, and muscle dynamics. Statistical shape modelling is a method to estimate bone shape from minimal information, such as anatomical landmarks, and to avoid the time and cost associated with reconstructing bone shapes from comprehensive medical imaging. Statistical shape models (SSM) of lower limb bones have been developed and validated for adult populations but are not applicable to paediatric populations. This study aimed to develop SSM for paediatric lower limb bones and evaluate their reconstruction accuracy using sparse anatomical landmarks. METHODS We created three-dimensional models of 56 femurs, 29 pelves, 56 tibias, 56 fibulas, and 56 patellae through segmentation of magnetic resonance images taken from 29 typically developing children (15 females; 13 ± 3.5 years). The SSM for femur, pelvis, tibia, fibula, patella, haunch (i.e., combined femur and pelvis), and shank (i.e., combined tibia and fibula) were generated from manual segmentation of comprehensive magnetic resonance images to describe the shape variance of the cohort. We implemented a leave-one-out cross-validation method wherein SSM were used to reconstruct novel bones (i.e., those not included in SSM generation) using full- (i.e., full segmentation) and sparse- (i.e., anatomical landmarks) input, and then compared these reconstructions against bones segmented from magnetic resonance imaging. Reconstruction performance was evaluated using root mean squared errors (RMSE, mm), Jaccard index (0-1), Dice similarity coefficient (DSC) (0-1), and Hausdorff distance (mm). All results reported in this abstract are mean ± standard deviation. RESULTS Femurs, pelves, tibias, fibulas, and patellae reconstructed via SSM using full-input had RMSE between 0.89 ± 0.10 mm (patella) and 1.98 ± 0.38 mm (pelvis), Jaccard indices between 0.77 ± 0.03 (pelvis) and 0.90 ± 0.02 (tibia), DSC between 0.87 ± 0.02 (pelvis) and 0.95 ± 0.01 (tibia), and Hausdorff distances between 2.45 ± 0.57 mm (patella) and 9.01 ± 2.36 mm (pelvis). Reconstruction using sparse-input had RMSE ranging from 1.33 ± 0.61 mm (patella) to 3.60 ± 1.05 mm (pelvis), Jaccard indices ranging from 0.59 ± 0.10 (pelvis) to 0.83 ± 0.03 (tibia), DSC ranging from 0.74 ± 0.08 (pelvis) to 0.90 ± 0.02 (tibia), and Hausdorff distances ranging from 3.21 ± 1.19 mm (patella) to 12.85 ± 3.24 mm (pelvis). CONCLUSIONS The SSM of paediatric lower limb bones showed reconstruction accuracy consistent with previously developed SSM and outperformed adult-based SSM when used to reconstruct paediatric bones.
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Affiliation(s)
- Beichen Shi
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia.
| | - Martina Barzan
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia
| | - Azadeh Nasseri
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia
| | - Christopher P Carty
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; Department of Orthopaedic Surgery, Children's Health Queensland Hospital and Health Service, Brisbane, QLD, Australia
| | - David G Lloyd
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia; Queensland and Advanced Design and Prototyping Technologies Institute, Griffith University, Gold Coast, QLD, Australia
| | - Giorgio Davico
- Department of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy; Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy
| | - Jayishni N Maharaj
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia
| | - Laura E Diamond
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia
| | - David J Saxby
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Australia; School of Health Sciences and Social Work, Griffith University, Gold Coast Campus, Parklands Dr Southport, Gold Coast, QLD, Australia
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Akhundov R, Bryant AL, Sayer T, Paterson K, Saxby DJ, Nasseri A. Effects of Footwear on Anterior Cruciate Ligament Forces during Landing in Young Adult Females. Life (Basel) 2022; 12:1119. [PMID: 35892920 PMCID: PMC9332041 DOI: 10.3390/life12081119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/20/2022] [Accepted: 07/23/2022] [Indexed: 11/23/2022] Open
Abstract
Rates of anterior cruciate ligament (ACL) rupture in young people have increased markedly over the past two decades, with females experiencing greater growth in their risk compared to males. In this study, we determined the effects of low- and high-support athletic footwear on ACL loads during a standardized drop-land-lateral jump in 23 late-/post-pubertal females. Each participant performed the task unshod, wearing low- (Zaraca, ASICS) or high- (Kayano, ASICS) support shoes (in random order), and three-dimensional body motions, ground-reaction forces, and surface electromyograms were synchronously acquired. These data were then used in a validated computational model of ACL loading. One-dimensional statistical parametric mapping paired t-tests were used to compare ACL loads between footwear conditions during the stance phase of the task. Participants generated lower ACL forces during push-off when shod (Kayano: 624 N at 71-84% of stance; Zaraca: 616 N at 68-86% of stance) compared to barefoot (770 N and 740 N, respectively). No significant differences in ACL force were observed between the task performed wearing low- compared to high-support shoes. Compared to barefoot, both shoe types significantly lowered push-off phase peak ACL forces, potentially lowering risk of ACL injury during performance of similar tasks in sport and recreation.
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Affiliation(s)
- Riad Akhundov
- Griffith Centre for Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia; (R.A.); (A.N.)
| | - Adam L. Bryant
- Centre for Health, Exercise & Sports Medicine, University of Melbourne, Melbourne, VIC 3010, Australia; (A.L.B.); (T.S.); (K.P.)
| | - Tim Sayer
- Centre for Health, Exercise & Sports Medicine, University of Melbourne, Melbourne, VIC 3010, Australia; (A.L.B.); (T.S.); (K.P.)
| | - Kade Paterson
- Centre for Health, Exercise & Sports Medicine, University of Melbourne, Melbourne, VIC 3010, Australia; (A.L.B.); (T.S.); (K.P.)
| | - David J. Saxby
- Griffith Centre for Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia; (R.A.); (A.N.)
| | - Azadeh Nasseri
- Griffith Centre for Biomedical and Rehabilitation Engineering (GCORE), Menzies Health Institute Queensland, Griffith University, Southport, QLD 4222, Australia; (R.A.); (A.N.)
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