Full title
CORI 2D-3D Hip Pre-Op Planner: Relating 3D Volume with 2D Projection Space Cohort Observation Study
Background
There are over one million hip replacement surgeries per year globally. It is one of the most effective treatments for end-stage hip joint disease. Accurate preoperative (before surgery) planning can lead to an improved fit of the bone and the hip implant.
Currently, this preoperative planning tends to use 2D x-ray images of the hip. As with any 2D image, this offers a flat view of the length and width of the bone. A 3D image would provide extra depth, offering a better picture of the hip. Therefore, the accuracy of 3D preoperative planning is considered to be better than 2D planning. However, 3D software requires a long training time, and the preoperative planning steps are sometimes very complex and not widely used in many hospitals.
This study will assess whether a new 3D planning system (Artificial Intelligence-CORI HIP software) can improve the accuracy of preoperative planning and whether training with synthetic data (information and images that are artificially generated) closely matches real-world x-rays.
What we are doing
We are inviting eligible patients on the waiting list for a primary total hip replacement at The James Cook University Hospital at South Tees Hospitals NHS Foundation Trust to take part.
We will be collecting a maximum of 4 x-rays (2 standing and 2 sitting) and 1 CT scan, alongside some basic patient questionnaires.
After the hip surgeries, information from these patient x-rays and scans will be added to the 3D software. The results of this will be compared with the images used for the surgery to see how well the 3D software would have performed in planning these surgeries.
This software will not be used to plan the hip surgeries of any patient that takes part in this study.
Chief investigator
Mr Craig White
Sponsor
South Tees Hospitals NHS Foundation Trust
Funder
Smith and Nephew
Current status
Open