Repair of only anterior talofibular ligament resulted in similar outcomes to those of repair of both anterior talofibular and calcaneofibular ligaments.

PURPOSE: To compare the surgical outcomes of the two different ankle stabilization techniques. METHODS: This randomized controlled trial aimed to compare the outcomes of the modified Broström procedure with [calcaneofibular ligament (CFL) group] or without CFL repair [anterior talofibular ligament (ATFL) only group]. Of the 50 patients randomly assigned to two groups, 43 were followed up prospectively for ≥ 2 years (CFL group: 22 patients, 36.6 ± 13.1 months; ATFL Only group: 21 patients, 35.3 ± 11.9 months). Functional outcomes were assessed using the Karlsson-Peterson and Tegner activity level scoring systems. Anterior talar translation (ATT), talar tilt angle (TTA), and degrees of displacement of the calcaneus against the talus on stress radiographs were measured. All parameters were compared between the two groups. Multiple regression analysis setting the postoperative Karlsson-Peterson score as the dependent variable was performed to determine the significant variable. RESULTS: There were no significant differences between the two groups in functional (Karlsson-Peterson and Tegner activity level) scores at the last follow-up and their changes. There were no significant differences between the two groups in the ATT, TTA, their differences compared with the contralateral ankles, and degrees of displacement of the calcaneus against the talus at the last follow-up. Osteochondral lesion of the talus rather than CFL repair was the significant variable related to functional outcome. CONCLUSION: The modified Broström procedure with additional CFL repair did not result in a significant advantage in any measured outcome at 3 years. LEVEL OF EVIDENCE: Randomized controlled trial, Level I.

Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning.

BACKGROUND AND OBJECTIVE: Rotator cuff muscle tear is one of the most frequent reason of operations in orthopedic surgery. There are several clinical indicators such as Goutallier grade and occupation ratio in the diagnosis and surgery of these diseases, but subjective intervention of the diagnosis is an obstacle in accurately detecting the correct region. METHODS: Therefore, in this paper, we propose a fully convolutional deep learning algorithm to quantitatively detect the fossa and muscle region by measuring the occupation ratio of supraspinatus in the supraspinous fossa. In the development and performance evaluation of the algorithm, 240 patients MRI dataset with various disease severities were included. RESULTS: As a result, the pixel-wise accuracy of the developed algorithm is 0.9984 ± 0.073 in the fossa region and 0.9988 ± 0.065 in the muscle region. The dice coefficient is 0.9718 ± 0.012 in the fossa region and 0.9463 ± 0.047 in the muscle region. CONCLUSIONS: We expect that the proposed convolutional neural network can improve the efficiency and objectiveness of diagnosis by quantifying the index used in the orthopedic rotator cuff tear.