The purpose of this study was to investigate if knee anterior laxity, measured with an arthrometer, is a risk factor for traumatic knee injury in sportswomen. To allow a more complete analysis, other, easily measured variables such as anthropometry, lower leg characteristics, sport exposure and menstrual cycle characteristics were also evaluated as possible risk factors. Subjects were Slovenian sportswomen aged between 11 and 41 years participating in basketball, team handball and volleyball (N = 540). Sportswomen were tested in the pre-season and followed for one season. The data collection included: written informed consent, background questionnaire, anthropometric tests, leg dominance assessment, navicular drop test (measurement of foot pronation), passive knee extension assessment and measurement of knee anterior laxity with a KT arthrometer. Several sets of data analysis were performed including logistic regression analysis in order to build a model for predicting traumatic knee injury among sportswomen. Height and average hours of training per week were found to differ significantly (P < 0.05) between injured and uninjured sportswomen. More sportswomen injured their non-dominant leg. Traumatic knee injuries among Slovenian sportswomen participating in basketball, team handball and volleyball are associated with higher amounts of training, greater body height and greater knee anterior laxity. Only 1% of the variability in traumatic knee injuries among sportswomen were explained with those variables suggesting that there are many other variables associated with traumatic knee injuries among sportswomen than were tested in this study.
Thermography for the measurement of surface temperatures is well known in industry, although is not established in medicine despite its safety, lack of pain and invasiveness, easy reproducibility, and low running costs. Promising results have been achieved in nerve entrapment syndromes, although thermography has never represented a real alternative to electromyography. Here an attempt is described to improve the diagnosis of carpal tunnel syndrome with thermography using a computer-based system employing artificial neural networks to analyse the images. Method reliability was tested on 112 images (depicting the dorsal and palmar sides of 26 healthy and 30 pathological hands), with the hand divided into 12 segments and compared relative to a reference. Palmar segments appeared to have no beneficial influence on classification outcome, whereas dorsal segments gave improved outcome with classification success rates near to or over 80%, and finger segments influenced by the median nerve appeared to be of greatest importance. These are preliminary results from a limited number of images and further research will be undertaken as our image database grows.
This study further evaluated a computerbased infrared thermography (IRT) system, which employs artificial neural networks for the diagnosis of carpal tunnel syndrome (CTS) using a large database of 502 thermal images of the dorsal and palmar side of 132 healthy and 119 pathological hands. It confirmed the hypothesis that the dorsal side of the hand is of greater importance than the palmar side when diagnosing CTS thermographically. Using this method it was possible correctly to classify 72.2% of all hands (healthy and pathological) based on dorsal images and > 80% of hands when only severely affected and healthy hands were considered. Compared with the gold standard electromyographic diagnosis of CTS, IRT cannot be recommended as an adequate diagnostic tool when exact severity level diagnosis is required, however we conclude that IRT could be used as a screening tool for severe cases in populations with high ergonomic risk factors of CTS.
Context: Anterior cruciate ligament (ACL)-injury rate is greater among female athletes than among male athletes.Objective: To investigate the rate and risk of ACL injury among Slovenian sportswomen playing professional basketball, team handball, or volleyball.Design: Prospective cohort study. Main Outcome Measure(s): We asked sportswomen and coaches to document the occurrence of every significant traumatic knee injury requiring medical attention. Injury rate and injury risk were calculated for sportswomen in each sport group. To calculate injury rate, we estimated the average exposure of each sportswoman during the research period.Results: During the 2003-2004 season, 585 Slovenian sportswomen sustained 12 ACL injuries. The ACL-injury risk was different in athletes participating in the various sports, with basketball players having the greatest ACLinjury risk and volleyball players having the lowest ACLinjury risk (P 5 .04). The risk of ACL injury among Slovenian sportswomen was 2.1 per 100 athletes (95% confidence interval 5 0.9, 3.2), whereas the rate of ACL injury was 0.037 per 1000 exposure hours (95% confidence interval 5 0.016, 0.06).Conclusions: Overall differences in injury risk were found among sports, but no differences were noted among divisions within sports. No differences for injury rate were observed between or within sports. The rate and risk of ACL injury among Slovenian sportswomen are high, with basketball players having the greatest ACL-injury risk.Key Words: female athletes, cohort study, injury epidemiology, traumatic injuries Key Points N Differences in anterior cruciate ligament injury risk were seen among female Slovenian basketball, team handball, and volleyball players. Basketball players were at greatest risk and volleyball players at lowest risk.N No differences in injury rate were noted among athletes in the 3 sports or among athletes in different divisions of the same sport.
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