Fully automated assessment of the knee alignment on long leg radiographs following corrective knee osteotomies in patients with valgus or varus deformities.

INTRODUCTION: The assessment of the knee alignment on long leg radiographs (LLR) postoperative to corrective knee osteotomies (CKOs) is highly dependent on the reader's expertise. Artificial Intelligence (AI) algorithms may help automate and standardise this process. The study aimed to analyse the reliability of an AI-algorithm for the evaluation of LLRs following CKOs. MATERIALS AND METHODS: In this study, we analysed a validation cohort of 110 postoperative LLRs from 102 patients. All patients underwent CKO, including distal femoral (DFO), high tibial (HTO) and bilevel osteotomies. The agreement between manual measurements and the AI-algorithm was assessed for the mechanical axis deviation (MAD), hip knee ankle angle (HKA), anatomical-mechanical-axis-angle (AMA), joint line convergence angle (JLCA), mechanical lateral proximal femur angle (mLPFA), mechanical lateral distal femoral angle (mLDFA), mechanical medial proximal tibia angle (mMPTA) and mechanical lateral distal tibia angle (mLDTA), using the intra-class-correlation (ICC) coefficient between the readers, each reader and the AI and the mean of the manual reads and the AI-algorithm and Bland-Altman Plots between the manual reads and the AI software for the MAD, HKA, mLDFA and mMPTA. RESULTS: In the validation cohort, the AI software showed excellent agreement with the manual reads (ICC: 0.81-0.99). The agreement between the readers (Inter-rater) showed excellent correlations (ICC: 0.95-0. The mean difference in the DFO group for the MAD, HKA, mLDFA and mMPTA were 0.50 mm, - 0.12°, 0.55° and 0.15°. In the HTO group the mean difference for the MAD, HKA, mLDFA and mMPTA were 0.36 mm, - 0.17°, 0.57° and 0.08°, respectively. Reliable outputs were generated in 95.4% of the validation cohort. CONCLUSION:  he application of AI-algorithms for the assessment of lower limb alignment on LLRs following CKOs shows reliable and accurate results. LEVEL OF EVIDENCE: Diagnostic Level III.

Anatomic Double-Bundle Reinsertion After Acute Proximal Anterior Cruciate Ligament Injury Using Knotless PushLock Anchors.

Direct anterior cruciate ligament (ACL) repair has been described with different suture techniques after acute ACL injury, but these procedures showed high failure rates. Recent studies, however, led to a better understanding of the biology of primary ACL healing. This article describes a novel technique combining the "healing response technique" with primary anatomic double-bundle ACL reinsertion after an acute proximal ACL tear using nonabsorbable No. 2 FiberWire (Arthrex, Naples, FL) and PushLock knotless suture anchors (Arthrex). We recommend this technique for patients with acute proximal avulsion-type ACL injuries. Postoperatively, we recommend a knee brace locked in full extension for at least 4 weeks to ensure adequate immobilization and then to increase knee flexion slowly over the next 4 weeks for subsequent healing of the ACL repair. Our technique combines anatomic positioning and reinsertion of the ACL bundles with microfracturing of the region delivering stem cells and growth factors to the repaired ACL, creating optimal conditions for the healing period. In certain cases this technique might be an alternative to conventional ACL reconstruction with autograft or allograft tendons.