scholarly journals Anterior Cruciate Ligament Knee Injury Detection of Sports Persons using Machine Learning Techniques

ACL is one of most common knee injury in sports person which increases as the participation in sports increases. People participating in basketball, football, hockey and athletics generally faces more weight bearing on hip, knee and ankle which is directly breaking of muscular tissues of ACL. After this it is mandatory to rehabilitate and back to the field for sport person at same pre-injury stage. But it requires mental and physical strength to recover from ACL tear and proper treatment needs health management. In a growing age of Information Technology the use of computer and its applications are extensively used in almost all areas. The main objective of this paper is to check the use of expert system or the use of any computerized equipment while diagnosis Anterior Cruciate Ligament injury. There are many techniques and machines to predict the knee injury grade like MRI but to check the accuracy level computer expert system Machine learning techniques are best for the results.

2021 ◽  
Vol 9 (9) ◽  
pp. 232596712110275
Author(s):  
Iskandar Tamimi ◽  
Joaquin Ballesteros ◽  
Almudena Perez Lara ◽  
Jimmy Tat ◽  
Motaz Alaqueel ◽  
...  

Background: Supervised machine learning models in artificial intelligence (AI) have been increasingly used to predict different types of events. However, their use in orthopaedic surgery has been limited. Hypothesis: It was hypothesized that supervised learning techniques could be used to build a mathematical model to predict primary anterior cruciate ligament (ACL) injuries using a set of morphological features of the knee. Study Design: Cross-sectional study; Level of evidence, 3. Methods: Included were 50 adults who had undergone primary ACL reconstruction between 2008 and 2015. All patients were between 18 and 40 years of age at the time of surgery. Patients with a previous ACL injury, multiligament knee injury, previous ACL reconstruction, history of ACL revision surgery, complete meniscectomy, infection, missing data, and associated fracture were excluded. We also identified 50 sex-matched controls who had not sustained an ACL injury. For all participants, we used the preoperative magnetic resonance images to measure the anteroposterior lengths of the medial and lateral tibial plateaus as well as the lateral and medial bone slope (LBS and MBS), lateral and medial meniscal height (LMH and MMH), and lateral and medial meniscal slope (LMS and MMS). The AI predictor was created using Matlab R2019b. A Gaussian naïve Bayes model was selected to create the predictor. Results: Patients in the ACL injury group had a significantly increased posterior LBS (7.0° ± 4.7° vs 3.9° ± 5.4°; P = .008) and LMS (–1.7° ± 4.8° vs –4.0° ± 4.2°; P = .002) and a lower MMH (5.5 ± 0.1 vs 6.1 ± 0.1 mm; P = .006) and LMH (6.9 ± 0.1 vs 7.6 ± 0.1 mm; P = .001). The AI model selected LBS and MBS as the best possible predictive combination, achieving 70% validation accuracy and 92% testing accuracy. Conclusion: A prediction model for primary ACL injury, created using machine learning techniques, achieved a >90% testing accuracy. Compared with patients who did not sustain an ACL injury, patients with torn ACLs had an increased posterior LBS and LMS and a lower MMH and LMH.


2020 ◽  
Vol 8 (4_suppl3) ◽  
pp. 2325967120S0028
Author(s):  
Lindsay M. Schlichte ◽  
Peter D. Fabricant ◽  
Christine Goodbody ◽  
Daniel W. Green

Background: Pre- and post-operative standing hip to ankle radiography is critical for monitoring potential post-operative growth arrest and resultant length and angular deformities after pediatric anterior cruciate ligament (ACL) reconstruction. During acquisition of pre-operative standing alignment radiographs, it is possible that patients are lacking full extension, not weight bearing comfortably, or leaning resulting in inaccurate measurements. Purpose: This study aims to assess both pre- and post-operative radiographic measurements to assess if the standing pre-operative x-ray is a accurate and reliable source for baseline measurements. Methods: We retrospectively reviewed prospectively collected pre-operative and first post-operative full-length hip-to-ankle radiographs in a cohort of skeletally immature athletes who presented with an acute ACL injury and underwent subsequent surgical reconstruction. Initially, leg length discrepancy for 25 patients was measured by 3 orthopedic surgeons (top of femoral head to center of tibial plafond). The intraclass correlation was almost perfect (ICC (2,1) = .996) therefore, 1 surgeon measured the remaining 94 radiographs. Measurements for both the injured and uninjured legs were obtained for comparison and surgeons were blinded to the injured side. Results: A total of 119 pediatric patients (mean age 13.4, range 7-14 years) were included (83 males and 36 females). Patient were categorized as either having ≥5mm, ≥10mm, or ≥15mm LLD on pre-operative standing x-ray. Sixty-two patients (52%) were found to have a pre-operative LLD ≥ 5mm. Forty-one (66%) of these patients tore their ACL on the limb measuring shorter. At 6 month post-operative standing x-ray, 35 patients (56%) resolved to ≤5mm LLD. Eighteen patients had a pre-operative LLD of ≥ 10mm. At 6 month post-operative standing x-ray, 13 (72%) patients resolved to ≤5mm LLD. Five patients had a pre-operative LLD of ≥ 15mm. At 6 month post-operative standing x-ray, 4 (80%) resolved ≤5mm. All patients with a pre-operative LLD of ≥ 13mm had sustained an ACL injury on the limb measuring shorter Conclusion: Of the pediatric ACL patients initially presenting with a pre-operative LLD of ≥ 10mm, 72% demonstrated apparent correction of their LLD on their 6 month standing x-ray. This high rate of LLD pre-operatively but not post operatively calls into question the accuracy of pre-operative standing alignment radiographs for patients after an ACL tear. Surgeons and radiology technicians should be aware of injured patients potentially lacking full extension, leaning, or not weight bearing comfortably, and should consider delaying preoperative radiographic length and alignment analysis until after the patient is able to fully straighten the injured knee and weight bear comfortably.


2010 ◽  
Vol 45 (1) ◽  
pp. 87-97 ◽  
Author(s):  
Joseph M. Hart ◽  
Brian Pietrosimone ◽  
Jay Hertel ◽  
Christopher D. Ingersoll

Abstract Context: Arthrogenic muscle inhibition is an important underlying factor in persistent quadriceps muscle weakness after knee injury or surgery. Objective: To determine the magnitude and prevalence of volitional quadriceps activation deficits after knee injury. Data Sources: Web of Science database. Study Selection: Eligible studies involved human participants and measured quadriceps activation using either twitch interpolation or burst superimposition on patients with knee injuries or surgeries such as anterior cruciate ligament deficiency (ACLd), anterior cruciate ligament reconstruction (ACLr), and anterior knee pain (AKP). Data Extraction: Means, measures of variability, and prevalence of quadriceps activation (QA) failure (<95%) were recorded for experiments involving ACLd (10), ACLr (5), and AKP (3). Data Synthesis: A total of 21 data sets from 18 studies were initially identified. Data from 3 studies (1 paper reporting data for both ACLd and ACLr, 1 on AKP, and the postarthroscopy paper) were excluded from the primary analyses because only graphical data were reported. Of the remaining 17 data sets (from 15 studies), weighted mean QA in 352 ACLd patients was 87.3% on the involved side, 89.1% on the uninvolved side, and 91% in control participants. The QA failure prevalence ranged from 0% to 100%. Weighted mean QA in 99 total ACLr patients was 89.2% on the involved side, 84% on the uninvolved side, and 98.5% for the control group, with prevalence ranging from 0% to 71%. Thirty-eight patients with AKP averaged 78.6% on the involved side and 77.7% on the contralateral side. Bilateral QA failure was commonly reported in patients. Conclusions: Quadriceps activation failure is common in patients with ACLd, ACLr, and AKP and is often observed bilaterally.


2018 ◽  
Vol 46 (12) ◽  
pp. 2851-2858 ◽  
Author(s):  
Eric Hamrin Senorski ◽  
Eleonor Svantesson ◽  
Kurt P. Spindler ◽  
Eduard Alentorn-Geli ◽  
David Sundemo ◽  
...  

Background: Factors relating to the patient and anterior cruciate ligament (ACL) reconstruction may help to identify prognostic factors of long-term outcome after reconstruction. Purpose: To determine 10-year risk factors for inferior knee function after ACL reconstruction. Study Design: Cohort study; Level of evidence, 2. Methods: Prospectively collected data from the Swedish National Knee Ligament Register were extracted for patients who underwent ACL reconstruction between January 2005 and December 2006. Patients who had no data at the 10-year follow-up for the Knee injury and Osteoarthritis Outcome Score (KOOS) were excluded. Multivariable proportional odds regression modeling was used to assess 10-year patient- and surgery-related risk factors across all the KOOS subscales and the KOOS4 (mean score of 4 subscales: pain, knee-related symptoms, function in sport and recreation, and knee-related quality of life). Results: A total of 874 (41%) patients were included (male, 51.5%; median age at the time of ACL reconstruction, 27.5 years [range, 11.2-61.5 years]). An increase in the severity of concomitant articular cartilage injuries resulted in a reduced KOOS on 4 subscales (odds ratio, 0.64-0.80; P < .05). A higher preoperative KOOS pain score increased the odds of a higher score on the pain, symptoms, and sport subscales and the KOOS4. In addition, a higher preoperative body mass index was a significant risk factor for lower scores on 3 KOOS subscales and the KOOS4. No patient- or surgery-related predictor was significant across all KOOS subscales. Conclusion: This 10-year risk factor analysis identified several factors that can affect long-term knee function after ACL reconstruction. Most risk factors were related to preoperative patient-reported outcome and potentially modifiable. On the other hand, most of the surgery-related risk factors were nonmodifiable. Nevertheless, this information may be helpful to physicians and physical therapists counseling patients on their expectations of outcome after ACL reconstruction.


Author(s):  
Megan L. Killian ◽  
Roger C. Haut ◽  
Tammy L. Haut Donahue

Traumatic impaction is known to cause acute cell death and macroscopic damage to cartilage and menisci in vitro1,2,3. It is understood that damage to the menisci can lead to chronic problems associated with excessive cartilage wear and the eventual onset of osteoarthritis (OA)4. Additionally, cartilage fissuring, subchondral bone bruising, and chondrocyte death are also believed to lead to the rapid progression of joint degeneration5. Such injuries, along with posterolateral meniscal tearing, are often observed after traumatic impaction and anterior cruciate ligament (ACL) rupture6–9. Therefore, understanding how the menisci and cartilage respond acutely to impaction may help guide future therapies following traumatic knee injury in order to prevent the development of OA.


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