Return to Play Prediction Accuracy of the MLG-R Classification System for Hamstring Injuries in Football Players: A Machine Learning Approach.
Xavier ValleSandra MechóEduard Alentorn-GeliTero A H JärvinenLasse LempainenRicard PrunaJoan C MonllauGil RodasJaime Isern-KebschullMourad GhrairiXavier YanguasRamon BaliusAdrian Martinez-De la TorrePublished in: Sports medicine (Auckland, N.Z.) (2022)
The main determinant for a long return to play after a hamstring injury is the injury affecting the connective tissue structures of the hamstring. We developed a reliable hamstring muscle injury classification system based on magnetic resonance imaging that showed excellent results in terms of reliability, prognosis capability and objectivity. It is easy to use in clinical daily practice, and can be further adapted to future knowledge. The adoption of this system by the medical community would allow a uniform diagnosis leading to better injury management.