The Use of Patient-Specific 3D Printed Anatomic Models in Pre-Operative Planning and Patient Engagement to Improve Hip Arthroscopy Outcomes
The Use of Patient-Specific 3D Printed Anatomic Models in Pre-Operative Planning and Patient Engagement to Improve Hip Arthroscopy Outcomes
This study will pilot the use of 3D printed models of the hip, for use in pre-operative planning and patient communication to improve clinical outcomes and patient engagement. This method will be implemented in the setting of femoroacetabular impingement (FAI), with the goal of identifying and measuring specific anatomical pathologies and impingement (range of motion) risks, to communicate a pre-operative plan to both the surgical team, and the patient.
Following a standard of care pre-operative CT scan, a 3D rendering of the CT scan will be completed. The de-identified CT Scan data will be transferred to the Clemson University Bioengineering Department, and a 3D modeling software will convert it to a computer model that will then be 3D printed. During the doctor-patient pre-operative consultation, the 3D Printed model will be used to assist the doctor in describing the patient's pathology and upcoming surgical procedure. In this pilot study, the surgeon will make measurements and estimates of resection for the femoroplasty and acetabuloplasty off of 2D CT scan, MRI, and x-rays. This will then be compared quantitatively to the results of the 3D model/3D printing measurements. Surgeon debriefings will occur postoperatively to determine the benefit of the model and how well it matched up to what the surgeon experienced during the surgery.
FAI involves complex anatomic morphology which can be unique to each patient. A thorough understanding of the type and specifically location of impingement is paramount to successful results if surgery is required. 2D imaging has limitations when analyzing a 3D anatomic lesion. 3D printed hip models have the potential to provide superior preoperative planning and subsequent surgical results. In addition, 3D models can potentially improve patient understanding, expectations, and outcomes.
Inclusion Criteria:
Exclusion Criteria (n/a)