Reverse Anterolateral Drawer Test schneidet am besten ab

2021 ◽  
Vol 25 (01) ◽  
pp. 5-5
Author(s):  
Arne Vielitz

Li Q, Tu Y, Chen J et al. Reverse Anterolateral Drawer Test Is More Sensitive and Accurate for Diagnosing Chronic Anterior Talofibular Ligament Injury. Knee Surg Sports Traumatol Arthrosc 2020; 28: 55–62. doi: 10.1007/s00167-019-05705-x

2021 ◽  
Vol 11 (1) ◽  
pp. 84-94
Author(s):  
Israel Casado-Hernández ◽  
Ricardo Becerro-de-Bengoa-Vallejo ◽  
Marta Elena Losa-Iglesias ◽  
Fernando Santiago-Nuño ◽  
Victoria Mazoteras-Pardo ◽  
...  

2019 ◽  
Vol 28 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Qianru Li ◽  
Yingchun Tu ◽  
Jun Chen ◽  
Jieling Shan ◽  
Patrick Shu-Hang Yung ◽  
...  

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zong-chen Hou ◽  
Xin Miao ◽  
Ying-fang Ao ◽  
Yue-lin Hu ◽  
Chen Jiao ◽  
...  

Abstract Purpose Muscle strength training is a common strategy for treating chronic ankle instability (CAI), but the effectiveness decreases for mechanical ankle instability (MAI) patients with initial severe ligament injuries. The purpose of this study was to investigate the characteristics and the potential predictors of muscle strength deficit in MAI patients, with a view to proposing a more targeted muscle strength training strategy. Methods A total of 220 MAI patients with confirmed initial lateral ankle ligament rupture and a postinjury duration of more than 6 months were included. All patients underwent a Biodex isokinetic examination of the ankle joints of both the affected and unaffected sides. Then, the associations between the limb symmetry index (LSI) (mean peak torque of the injury side divided by that of the healthy side) and the patients’ sex, body mass index, postinjury duration, presence of intra-articular osteochondral lesions, presence of osteophytes and ligament injury pattern (i.e., isolated anterior talofibular ligament (ATFL) injury or combined with calcaneofibular ligament injury) were analysed. Results There was significantly weaker muscle strength on the affected side than on the unaffected side in all directions (p < 0.05). The LSI in plantar flexion was significantly lower than that in dorsiflexion at 60°/s (0.87 vs 0.98, p < 0.001). A lower LSI in eversion was significantly correlated with female sex (0.82 vs 0.94, p = 0.016) and isolated ATFL injury (0.86 vs 0.95, p = 0.012). No other factors were found to be associated with muscle strength deficits. Conclusion MAI patients showed significant muscle strength deficits on the affected side, especially in plantar flexion. There were greater strength deficits in eversion in females and individuals with an isolated ATFL injury. Thus, a muscle strength training programme for MAI patients was proposed that focused more on plantar flexion training and eversion training for females and those with an isolated ATFL injury.


2012 ◽  
Vol 24 (1) ◽  
pp. 115-117 ◽  
Author(s):  
Takashi Fukuhara ◽  
Masaaki Sakamoto ◽  
Rie Nakazawa ◽  
Kazuo Kato

2017 ◽  
Vol 2 (3) ◽  
pp. 2473011417S0002
Author(s):  
Seung Yeol Lee ◽  
Soon-Sun Kwon ◽  
Moon Seok Park ◽  
Ki Hyuk Sung ◽  
Seungbum Koo ◽  
...  

Category: Ankle, Sports Introduction/Purpose: We hypothesized that the bony configuration of the ankle could also be associated with ankle stress radiographs, in addition to ligament injury of the ankle. Therefore, this study aimed to investigate the relationship between bone morphology and injured ligament on imaging studies and laxity on ankle stress radiographs in patients with lateral ankle instability. Methods: In total, 115 patients who had undergone ankle MRI, ankle radiography, and stress radiography were included. Distal tibial articular surface angle, bimalleolar tilt, medial and lateral malleolar relative length, medial malleolar slip angle, anterior inclination of the tibia, and fibular position were measured on ankle radiographs. Tibiotalar tilt angle and anterior translation of the talus were measured on ankle stress radiographs. Degree of ligament injury was evaluated on ankle MRIs. Multiple regression analysis was performed using the following independent variables: age, sex, and factors significantly associated with ankle stress view on univariate linear regression analysis. Results: Age (p = 0.041), sex (p = 0.014), degree of anterior talofibular ligament injury (p < 0.001), and bimalleolar tilt (p = 0.016) were correlated with tibiotalar tilt angle (Table). Younger patients demonstrated a larger tibiotalar tilt angle than older patients, and the angle decreased by 0.07° per year of age. Tibiotalar tilt angle in female patients was 2.2° larger than that in male patients. Fibular position and degree of posterior talofibular ligament injury were factors significantly related to anterior translation of the talus. Conclusion: Differences in patient characteristics might predispose ankle stress radiograph results. Comparison of both ankles on stress radiographs is superior to applying fixed numerical values to the injured side, in order to reduce the influence of patient factors.


2021 ◽  
Author(s):  
Wen Yan ◽  
Xianghong Meng ◽  
Jinglai Sun ◽  
Hui Yu ◽  
Zhi Wang

Abstract Background: There is a high incidence of injury to the lateral ligament of the ankle in daily living and sports activities. The anterior talofibular ligament (ATFL) is the most frequent types of ankle injuries. It is of great clinical significance to achieve intelligent localization and injury evaluation of ATFL due to its vulnerability.Methods: According to the specific characteristics of bones in different slices, the key slice was extracted by image segmentation and characteristic analysis. Then, the talus and fibula in the key slice were segmented by distance regularized level set evolution (DRLSE), and the curvature of their contour pixels was calculated to find useful feature points including the neck of talus, the inner edge of fibula, and the outer edge of fibula. ATFL area can be located using these feature points so as to quantify its first-order gray features and second-order texture features. Support vector machine (SVM) was performed for evaluation of ATFL injury.Results: Data were collected retrospectively from 158 patients who underwent MRI, and were divided into normal (68) and tear (90) group. The positioning accuracy and Dice coefficient were used to measure the performance of ATFL localization, and the mean values are 87.7% and 77.1%, respectively, which is helpful for the following feature extraction. SVM gave a good prediction ability with accuracy of 93.8%, sensitivity of 88.9%, specificity of 100%, precision of 100%, and F1 score of 94.2% in the test set.Conclusion: Experimental results indicate that the proposed method is reliable in diagnosing ATFL injury. This study may provide a potentially viable method for aided clinical diagnoses of some ligament injury.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wen Yan ◽  
Xianghong Meng ◽  
Jinglai Sun ◽  
Hui Yu ◽  
Zhi Wang

Abstract Background There is a high incidence of injury to the lateral ligament of the ankle in daily living and sports activities. The anterior talofibular ligament (ATFL) is the most frequent types of ankle injuries. It is of great clinical significance to achieve intelligent localization and injury evaluation of ATFL due to its vulnerability. Methods According to the specific characteristics of bones in different slices, the key slice was extracted by image segmentation and characteristic analysis. Then, the talus and fibula in the key slice were segmented by distance regularized level set evolution (DRLSE), and the curvature of their contour pixels was calculated to find useful feature points including the neck of talus, the inner edge of fibula, and the outer edge of fibula. ATFL area can be located using these feature points so as to quantify its first-order gray features and second-order texture features. Support vector machine (SVM) was performed for evaluation of ATFL injury. Results Data were collected retrospectively from 158 patients who underwent MRI, and were divided into normal (68) and tear (90) group. The positioning accuracy and Dice coefficient were used to measure the performance of ATFL localization, and the mean values are 87.7% and 77.1%, respectively, which is helpful for the following feature extraction. SVM gave a good prediction ability with accuracy of 93.8%, sensitivity of 88.9%, specificity of 100%, precision of 100%, and F1 score of 94.2% in the test set. Conclusion Experimental results indicate that the proposed method is reliable in diagnosing ATFL injury. This study may provide a potentially viable method for aided clinical diagnoses of some ligament injury.


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