Tomosynthesis for diagnosis of musculoskeletal injuries and diseases: a systematic review

2020 ◽  
Vol 26 (3) ◽  
pp. 432-441
Author(s):  
S.P. Morozov ◽  
◽  
A.V. Vladzimirsky ◽  
A.V. Basarboliev ◽  
V.I. Baryshov ◽  
...  
Author(s):  
Priscila dos Santos Bunn ◽  
Frederico de Oliveira Meireles ◽  
Ravini de Souza Sodré ◽  
Allan Inoue Rodrigues ◽  
Elirez Bezerra da Silva

2017 ◽  
Vol 225 (4) ◽  
pp. e158
Author(s):  
Sherise Epstein ◽  
Bao Ngoc N. Tran ◽  
Qing Z. Ruan ◽  
Dhruv Singhal ◽  
Bernard T. Lee

Author(s):  
Anne-Marie Provencher ◽  
Élizabeth Giguère-Lemieux ◽  
Emilie Croteau ◽  
Stephanie-May Ruchat ◽  
Laurie-Ann Corbin-Berrigan

2018 ◽  
Vol 6 (10) ◽  
pp. 232596711880454 ◽  
Author(s):  
Nicholas N. DePhillipo ◽  
Zachary S. Aman ◽  
Mitchell I. Kennedy ◽  
J.P. Begley ◽  
Gilbert Moatshe ◽  
...  

2020 ◽  
pp. bjsports-2020-102823
Author(s):  
Larissa Santos Pinto Pinheiro ◽  
Juliana Melo Ocarino ◽  
Fernanda Oliveira Madaleno ◽  
Evert Verhagen ◽  
Marco Túlio de Mello ◽  
...  

ObjectiveTo investigate prevalence, incidence and profile of musculoskeletal injuries in para athletes.DesignSystematic review.Data sourcesSearches were conducted in MEDLINE, EMBASE, AMED, SPORTSDiscus, CINAHL and hand searching.Eligibility criteriaStudies were considered if they reported prevalence or incidence of musculoskeletal injuries in para athletes. Study selection, data extraction and analysis followed the protocol. Meta-analyses were conducted to estimate the prevalence and incidence rate among studies and subgroup analyses investigated whether methodological quality and sample size of the studies influenced on the estimated injury prevalence and incidence. The Grading of Recommendations Assessment, Development and Evaluation system determined the strength of evidence.ResultsForty-two studies were included. The prevalence of musculoskeletal injuries was 40.8% (95% CI 32.5% to 49.8%). Because of imprecision, indirectness and inconsistency, the strength of evidence was very low quality. The incidence of musculoskeletal injuries was 14.3 injuries per 1000 athlete-days (95% CI 11.9 to 16.8). The strength of evidence was low quality because of imprecision and indirectness. The subgroup analyses revealed that the sample size influenced on estimated injury prevalence and methodological quality influenced on estimated incidence. Injuries were more prevalent in the shoulder, for non-ambulant para athletes, and in the lower limbs, for ambulant para athletes.Summary/conclusionPara athletes show high prevalence and incidence of musculoskeletal injuries. Current very low-quality and low-quality evidence suggests that future high-quality studies with systematic data collection, larger sample size and specificities of para athletes are likely to change estimates of injury prevalence and incidence in para athletes.PROSPERO registration numberCRD42020147982.


2018 ◽  
Vol 37 (2) ◽  
pp. 131-137 ◽  
Author(s):  
Jacobien H.F. Oosterhoff ◽  
Vincent Gouttebarge ◽  
Maarten Moen ◽  
J. Bart Staal ◽  
Gino M.M.J. Kerkhoffs ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
pp. e000468 ◽  
Author(s):  
Carlos Vicente Andreoli ◽  
Bárbara Camargo Chiaramonti ◽  
Elisabeth Biruel ◽  
Alberto de Castro Pochini ◽  
Benno Ejnisman ◽  
...  

IntroductionBasketball is a contact sport with complex movements that include jumps, turns and changes in direction, which cause frequent musculoskeletal injuries in all regions of the body.ObjectiveThis is an integrative systematic review of the epidemiology of musculoskeletal injuries in basketball.MethodsThis is an integrative review based on the following sources of information: PubMed/MEDLINE, Embase, LILACS, BBO-Biblioteca Brasileira de Odontologia, IBECS-Índice Bibliográfico Espanhol em Ciências da Saúde, nursing journals, dental journals and core clinical journals in the last 10 years with studies addressing the general epidemiology of sports injuries in basketball.ResultsIn total, 268 articles were selected, of which 11 were eligible for the integrative review. A total of 12 960 injuries were observed, most of which occurred in the lower limbs (63.7%), with 2832 (21.9%) ankle injuries and 2305 (17.8%) knee injuries. Injuries in the upper limbs represented 12%–14% of the total injuries. Children and adolescents received head injuries more often compared with the other age and skill categories. In the adult category, there was an increased prevalence of injuries in the trunk and spine. In the upper limbs, hands, fingers and wrists were affected more frequently than the shoulders, arms and forearms. In the masters’ category, there was an increase in the incidence of thigh injuries.ConclusionThe lower limbs were the most affected, with the ankle and knee joints having the highest prevalence of injuries regardless of gender and category. Further randomised studies, increased surveillance and epidemiological data collection are necessary to improve knowledge on sports injuries in basketball and to validate the effectiveness of preventive interventions.


2018 ◽  
Vol 31 (0) ◽  
Author(s):  
Priscila dos Santos Bunn ◽  
Glória de Paula Silva ◽  
Elirez Bezerra da Silva

Abstract Introduction: The Deep Squat Test has been applied in pre-season evaluations of sports teams and in military courses to predict the risk of musculoskeletal injuries. Objective: To evaluate the association of DS performance and the risk of musculoskeletal injuries. Methods: In this systematic review, a search without language or time filters was carried out in MEDLINE, SciELO, SCOPUS, SPORTDiscuss, CINAHL and BVS databases with the following title words: injury prediction, injury risk and deep squat in December 2016. Participants' profile, sample size, classification of musculoskeletal injuries, follow-up time, study design and results were extracted from the studies. Bias risk analysis was performed with the Newcastle-Ottawa Scale. Results: Five studies were included, using different analyzes, whose results varied. Odds ratio ranged from 1.21 to 2.59 (95% CI = 1.01 - 3.28); relative risk was 1.68 (95% CI = 1.50 - 1.87), sensitivity from 3 to 24%, specificity from 90 to 99%, PPV from 42 to 63%, NPV from 72 to 75% and AUC from 51 to 58%. Conclusion: The DS can be a test whose presence of movement dysfunctions is a predictor of the risk of musculoskeletal injuries in individuals who practice physical exercises. However, due to the methodological limitations presented, caution is suggested when interpreting such results. PROSPERO registration: CRD4201706922.


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