Intelligent detection of knee injury in MRI exam

2022 ◽  
Author(s):  
Sanjana Gupta ◽  
Pranav M. Pawar ◽  
P. S. Tamizharasan
Keyword(s):  
Knee Injury ◽  
Intelligent Detection

Bilateral Floating Knee Injury—Management of a Complex Injury

2019 ◽  
Vol 29 (1) ◽  
pp. 1-6
Author(s):  
Alexandros P. Apostolopoulos ◽  
Stavros Angelis ◽  
Salma E. Elamin ◽  
Glenn Clewer
Keyword(s):  
Knee Injury ◽  
Injury Management ◽  
Complex Injury ◽  
Floating Knee Injury

scholarly journals What Does the Future Hold? Health-Related Quality of Life 3–12 Years Following a Youth Sport-Related Knee Injury

2021 ◽  
Vol 18 (13) ◽  
pp. 6877
Author(s):  
Christina Y. Le ◽  
Clodagh M. Toomey ◽  
Carolyn A. Emery ◽  
Jackie L. Whittaker
Keyword(s):  
Quality Of Life ◽  
Knee Injury ◽  
Youth Sport ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Knee Trauma ◽  
Strenuous Physical Activity ◽  
Eq Vas

Knee trauma can lead to poor health-related quality of life (HRQoL) and osteoarthritis. We aimed to assess HRQoL 3–12 years following youth sport-related knee injury considering HRQoL and osteoarthritis determinants. Generic (EQ-5D-5L index, EQ-VAS) and condition-specific (Knee injury and Osteoarthritis Outcome Score quality of life subscale, KOOS QOL) HRQoL were assessed in 124 individuals 3–12 years following youth sport-related knee injury and 129 uninjured controls of similar age, sex, and sport. Linear regression examined differences in HRQoL outcomes by injury group. Multivariable linear regression explored the influence of sex, time-since-injury, injury type, body mass index, knee muscle strength, Intermittent and Constant Osteoarthritis Pain (ICOAP) score, and Godin Leisure-Time Exercise Questionnaire (GLTEQ) moderate-to-strenuous physical activity. Participant median (range) age was 23 years (14–29) and 55% were female. Injury history was associated with poorer KOOS QOL (−8.41; 95%CI −10.76, −6.06) but not EQ-5D-5L (−0.0074; −0.0238, 0.0089) or EQ-VAS (−3.82; −8.77, 1.14). Injury history (−5.14; −6.90, −3.38), worse ICOAP score (−0.40; −0.45, −0.36), and anterior cruciate ligament tear (−1.41; −2.77, −0.06) contributed to poorer KOOS QOL. Worse ICOAP score contributed to poorer EQ-5D-5L (−0.0024; −0.0034, −0.0015) and higher GLTEQ moderate-to-strenuous physical activity to better EQ-VAS (0.10; 0.03, 0.17). Knee trauma is associated with poorer condition-specific but not generic HRQoL 3–12 years post-injury.

scholarly journals An Investigation of Knee Injury Profiles among Iranian Elite Karatekas: Observations from a Cross-Sectional Study

2021 ◽  
Vol 18 (13) ◽  
pp. 6888
Author(s):  
Hamidreza Naserpour ◽  
Julien S. Baker ◽  
Amir Letafatkar ◽  
Giacomo Rossettini ◽  
Frédéric Dutheil
Keyword(s):  
Knee Injury ◽  
Cruciate Ligament ◽  
Knee Injuries ◽  
Cross Sectional Study ◽  
Lower Extremity Injury ◽  
Sectional Study ◽  
Positive Health ◽  
Sports Activity ◽  
Cross Sectional ◽  
National Team

Karate training, despite the many positive health benefits, carries a risk of injury for participants. The current cross-sectional study aimed to investigate knee injury profiles among Iranian elite karatekas. Participants who attended the national team qualifiers, which included 390 male Kumite karatekas (age 24 ± 3 years old and weight 63 ± 12 kg), participated in this study. Information on knee injuries (injury history, type of injury mechanisms, and effects of knee symptoms on the ability to perform daily activities and recreational activities) were obtained using the Knee Outcome Survey (KOS). Using Pearson’s correlation coefficient, the study examined the relationships between different variables, including KOS subscales and levels of self-reported knee joint function. Our findings indicated that 287 karatekas (73.6%) experienced knee injuries. The anterior cruciate ligament (ACL) rupture (6.9%), articular cartilage (5.4%), and meniscus damage (3.8%) were the main typology of injury. In addition, there were no differences in knee injuries between the non-dominant and dominant legs. Most injuries occurred during the preparatory period (n = 162, 50%), especially during training periods. The KOS subscales scores (Mean ± Sd) for activities of daily living (ADL) and sports activity (SAS) were, respectively, 89 ± 11 and 91 ± 9. The self-reported scores for both the ADL and SAS subscales were, respectively, 89 ± 11 and 90 ± 10. Pearson coefficients of ADL and SAS subscales with their self-reported score were r = 0.761 (p < 0.0001) and r = 0.782 and (p < 0.0001), respectively. The profile of knee injuries in the current investigation is similar to previous surveys that reported lower extremity injury patterns. The findings of this study could be adopted to inform practice aimed at planning interventions for the reduction and prevention of knee injuries among karatekas.

scholarly journals Structure Design of Cable-Stayed Bridge Intelligent Detection Robot

2021 ◽  
Vol 632 ◽  
pp. 022061
Author(s):  
Hongyu He ◽  
Guichuan Hu ◽  
Jing Ren ◽  
Jing Hu ◽  
Hang Zhao ◽  
...  
Keyword(s):  
Structure Design ◽  
Cable Stayed Bridge ◽  
Intelligent Detection

Knee Injury Diagnostic Device

2020 ◽  
Author(s):  
Julie E. McKenna ◽  
Tyler R. Hopkins ◽  
Lucas T. Lavallee ◽  
Douglas E. Dow
Keyword(s):  
Knee Injury ◽  
Diagnostic Device

scholarly journals Mapping EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS)

2019 ◽  
Vol 29 (1) ◽  
pp. 265-274
Author(s):  
Ali Kiadaliri ◽  
Monica Hernández Alava ◽  
Ewa M. Roos ◽  
Martin Englund
Keyword(s):  
Disease Severity ◽  
Knee Injury ◽  
Cruciate Ligament ◽  
Simulated Data ◽  
Probit Model ◽  
Original Data ◽  
Cost Utility ◽  
Superior Performance ◽  
Outcome Score ◽  
Mapping Models

Abstract Purpose To develop a mapping model to estimate EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS). Methods The responses to EQ-5D-3L and KOOS questionnaires (n = 40,459 observations) were obtained from the Swedish National anterior cruciate ligament (ACL) Register for patients ≥ 18 years with the knee ACL injury. We used linear regression (LR) and beta-mixture (BM) for direct mapping and the generalized ordered probit model for response mapping (RM). We compared the distribution of the original data to the distributions of the data generated using the estimated models. Results Models with individual KOOS subscales performed better than those with the average of KOOS subscale scores (KOOS5, KOOS4). LR had the poorest performance overall and across the range of disease severity particularly at the extremes of the distribution of severity. Compared with the RM, the BM performed better across the entire range of disease severity except the most severe range (KOOS5 < 25). Moving from the most to the least disease severity was associated with 0.785 gain in the observed EQ-5D-3L. The corresponding value was 0.743, 0.772 and 0.782 for LR, BM and RM, respectively. LR generated simulated EQ-5D-3L values outside the feasible range. The distribution of simulated data generated from the BM model was almost identical to the original data. Conclusions We developed mapping models to estimate EQ-5D-3L from KOOS facilitating application of KOOS in cost-utility analyses. The BM showed superior performance for estimating EQ-5D-3L from KOOS. Further validation of the estimated models in different independent samples is warranted.

scholarly journals Short-term recovery of physical activity and knee function after an acute knee injury

2020 ◽  
Vol 6 (1) ◽  
pp. e000950
Author(s):  
Sanne Fomin ◽  
Håkan Gauffin ◽  
Joanna Kvist
Keyword(s):  
Physical Activity ◽  
Knee Injury ◽  
Knee Injuries ◽  
Acl Injury ◽  
Knee Function ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Acute Knee ◽  
Acute Knee Injury

ObjectivesTo describe self-reported knee function, participation in physical activity and the number of knee surgeries at 3 and 6 months following acute knee injury.MethodsProspective cohort study. Participants, aged 15–40 years with an acute knee injury sustained no more than 6 weeks prior to inclusion, were recruited. There were 279 participants with ACL injury and 101 participants with other acute knee injuries included. Follow-up questionnaires were sent at 3 and 6 months after injury. Demographic information, activity participation, International Knee Documentation Committee subjective knee form (IKDC-SKF) and the Single Assessment Numeric Evaluation (SANE) score were collected. Additional knee injuries were obtained from self-report and medical charts.ResultsThe IKDC-SKF, SANE and physical activity participation were reduced at 3-month and 6-month follow-up. The number of participants who achieved health-promoting physical activity levels was reduced by 50% at 6-month follow-up compared with before injury. Seventeen per cent of participants with ACL injury and 41% of participants with other acute knee injuries had returned to their preinjury physical activity at 6 months. Participants with ACL injury reported worse knee function, lower physical activity participation and had more surgeries (128 surgeries, including 109 ACL-reconstructions) compared with participants with other acute knee injuries (six surgeries).ConclusionAcute knee injuries, including ACL injuries, affected self-reported knee function and physical activity participation for at least 6 months after index injury. More research is needed to understand how best to help people with acute knee injuries return to physical activity and achieve satisfactory knee function.

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