Predictive models in knee surgery

Abstract

Reconstructive knee surgery is the definitive option for patients with knee pathology which causes irreconcilable functional deficit, or which is otherwise unacceptable without direct intervention. There are many factors which affect patient outcomes post-operatively, whether they are patient-specific factors, or intraoperative decision making. This thesis aimed to frame and generate predictive models which could guide clinical and intraoperative decision making with regards to two reconstructive procedures in knee surgery: total knee arthroplasty (TKA) and anterior cruciate ligament reconstruction (ACLR).