A Web-Based Prediction Tool to Improve Identification of Patients With Undersized Hamstring Tendon Autograft in Anterior Cruciate Ligament Reconstruction

• Published in: The American journal of sports medicine 2023-11, Vol.51 (13), p.3480-3492
• Main Authors: Xu, Wennan, Liu, Chengxiao, Peng, Huaming, Wang, Jingsong, Zhang, Zhengzheng, Song, Bin, Li, Weiping, Jiang, Chuan
• Format: Article
• Language: English
• Subjects: Sports medicine
• ISSN: 0363-5465; 1552-3365
• DOI: 10.1177/03635465231205304

Background: An undersized hamstring tendon (HT) autograft is significantly associated with a higher graft failure rate in anterior cruciate ligament reconstruction (ACLR) surgery. The ability to accurately predict inadequate HT graft diameter is critical, as it could assist surgeons in making better graft choices and surgical plans. Purpose: To develop a web-based prediction tool to better assess the size of HT autograft and to help clinicians accurately identify patients with potentially undersized HT grafts in order to make appropriate clinical decisions. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A total of 588 patients who received primary arthroscopic single-bundle ACLR surgery with gracilis tendon (GT) and semitendinosus tendon (ST) autograft were retrospectively reviewed. According to the size of 4-strand HT graft, patients were divided into diameter ≥8 mm and 65%, the sensitivity and specificity of predicting 4-strand HT graft diameter ≥8 mm were 86.7% and 90.2%, respectively. Conclusion: As a useful supplementary prediction tool, the HTD model could accurately predict the diameter of HT autograft during preoperative planning.