Prediction of anterior cruciate ligament injury in basketball players using machine learning
ISRCTN | ISRCTN18009799 |
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DOI | https://doi.org/10.1186/ISRCTN18009799 |
Secondary identifying numbers | USM/JEPeM/22040199 |
- Submission date
- 22/08/2024
- Registration date
- 22/08/2024
- Last edited
- 22/08/2024
- Recruitment status
- No longer recruiting
- Overall study status
- Completed
- Condition category
- Musculoskeletal Diseases
Plain English summary of protocol
Background and study aims
This study aims to find out what factors increase the risk of ACL (anterior cruciate ligament) injuries in young adult basketball players. The ACL is a crucial ligament in the knee, and injuries to it can be serious and often require surgery. The researchers also want to see if machine learning, a type of computer technology, can accurately predict who might get injured. By doing this, they hope to identify important risk factors specific to male basketball players, which could help in creating better injury prevention strategies.
Who can participate?
To participate in this study, you must be:
1. Male
2. At least 18 years old
3. Exercising at least 8 hours per week
4. Playing basketball for at least 3 years
5. Not having a knee injury based on a specific test called the Lachman’s test
What does the study involve?
If you join the study, you will undergo several tests to measure factors related to ACL injuries. After the tests, you will be followed for 12 months to see if you sustain an ACL injury during that time. Your data will help in developing and validating a machine learning model to predict ACL injuries in basketball players.
What are the possible benefits and risks of participating?
By participating, you could help advance understanding of ACL injuries in basketball players and contribute to better injury prevention strategies in the future. There may be minimal risks associated with the physical tests, but these will be conducted by trained professionals to ensure your safety.
Where is the study run from?
The study is being conducted at Hospital Universiti Sains Malaysia
When is the study starting and how long is it expected to run for?
October 2021 to April 2024
Who is funding the study?
Investigator initiated and funded
Who is the main contact?
Guo-Long-fei (guolongfei0422@student.usm.my)
Dr Shazlin Binti Shaharudin (shazlin@usm.my).
Contact information
Principal Investigator
School of Health Sciences,Universiti Sains Malaysia,16150 Kubang Kerian
Kelantan
150000
Malaysia
0000-0001-5583-7631 | |
Phone | +60 9-767 7578 |
shazlin@usm.my |
Public, Scientific
Building 7, Wenxingyuan, Qianbeitun Road
Taiyuan
30000
China
0009-0005-2098-2413 | |
Phone | +86 15536887299 |
guolongfei0422@student.usm.my |
Study information
Study design | Single-center observational cohort study |
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Primary study design | Observational |
Secondary study design | Cohort study |
Study setting(s) | University/medical school/dental school |
Study type | Diagnostic, Prevention, Screening, Efficacy |
Participant information sheet | No participant information sheet available |
Scientific title | Prediction of anterior cruciate ligament (ACL) injuries in basketball players using machine learning algorithms: a prospective study |
Study acronym | B-ACL-ML |
Study objectives | 1. Athlete's profile, Physical function, basketball-specific skills, biomechanics and electromyography are related to ACL injury risk among basketball athletes. 2. The predictive model is valid in distinguishing between male basketball players with and without ACL injuries. |
Ethics approval(s) |
Approved 01/09/2022, Jawatankuasa Etika Penyelidikan Manusia Universiti Sains Malaysia (Universiti Sains Malaysia 16150 Kubang Kerian, Kelantan., Kelantan, 15000, Malaysia; +60 9-7673000; jepem@usm.my), ref: USM/JEPeM/22040199 |
Health condition(s) or problem(s) studied | Prevention of anterior cruciate ligament (ACL) injury in male basketball players |
Intervention | In this study, 104 young adult basketball players volunteer to participate. The athletes' profiles, physical functions, basketball-specific skills, biomechanics, and electromyography (EMG) of seven muscles, including the quadriceps, hamstrings, and gastrocnemius, are measured during unanticipated side-cutting maneuvers. After a 12-month follow-up, these data will be compared between those who sustain injuries and those who remain injury-free. |
Intervention type | Behavioural |
Primary outcome measure | Measured at baseline and 12 months: 1. The athlete's profile (height, weight, age, level of play, playing position), basketball training record, and self-reported injury history for each participant were recorded 2. Balance testing and joint mobility testing were conducted using YBT and FMS, with a duration of half an hour 3. Biomechanical and synchronized electromyography (EMG) experiments were performed, lasting for two hours 4. Trunk testing was conducted using DLH, strength testing was performed with 1-RM weighted squat and deadlift, explosive strength was assessed using countermovement jump (CMJ), squat jump (SJ), and drop jump (DJ), and agility testing was carried out with the Lane Agility Test lasting for two hours |
Secondary outcome measures | There are no secondary outcome measures |
Overall study start date | 07/10/2021 |
Completion date | 03/04/2024 |
Eligibility
Participant type(s) | Healthy volunteer |
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Age group | Adult |
Lower age limit | 18 Years |
Upper age limit | 30 Years |
Sex | Male |
Target number of participants | 120 |
Total final enrolment | 114 |
Key inclusion criteria | 1. Male 2. Age over 18 years 3. Exercising ≥8 hours per week, 4. Having played basketball for at least 3 years 5. Having a negative Lachman's knee examination |
Key exclusion criteria | 1. Exercise-related or neurological disorders 2. Recent hip or knee surgery or trauma 3. Incomplete data not being analyzed |
Date of first enrolment | 02/09/2022 |
Date of final enrolment | 04/04/2023 |
Locations
Countries of recruitment
- China
Study participating centres
Taiyuan
030024
China
Xinzhou
034000
China
Sponsor information
University/education
Health Campus, 16150 Kubang Kerian, Kelantan
Kota Bharu
15000
Malaysia
Phone | +60 09-767 3000 |
---|---|
hospitalusm@usm.my | |
Website | https://hospital.usm.my/ |
https://ror.org/0090j2029 |
Funders
Funder type
Other
No information available
Results and Publications
Intention to publish date | 04/12/2025 |
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Individual participant data (IPD) Intention to share | No |
IPD sharing plan summary | Data sharing statement to be made available at a later date |
Publication and dissemination plan | Planned publication in a peer-reviewed journal |
IPD sharing plan | Individual participant data will not be provided due to privacy concerns |
Editorial Notes
22/08/2024: Trial's existence confirmed by Jawatankuasa Etika Penyelidikan Manusia Universiti Sains Malaysia.