Abstract
Precision planning with correct sizing and placement of components is critical to proper execution of total hip arthroplasty. While the desire to achieve excellent outcomes has always been a surgeon's goal, value-based care programs such as the Comprehensive Joint Replacement (CJR) program apportion real expenditures for the cost of treating complications such as fracture or dislocation to the participants. Such accountability accentuates the importance of optimizing the planning and execution of joint replacement surgery. Acetabular component sizing and placement in particular remains the single greatest challenge to surgeons. This is simply due to the fact that the requisite spatial information is not available to the surgeon during conventional surgery. Basing component placement on local anatomical landmarks without knowing the patient-specific nature of those landmarks ensures poor component placement in many cases. As a result, studies demonstrate that at least ½ of all acetabular components placed using conventional methods are malpositioned.
Potential solutions include the using of intra-operative radiographic analysis, traditional navigation and robotics. Unfortunately, measurements of plain radiographs have repeatedly been shown to be inaccurate due to lack of knowledge of and correction for beam center location, magnification, beam divergence, and position of the pelvis itself on the image. As a result, such quantification of unquantifiable images can systematically lead to poor decisions. Intra-operative radiograph measurement methods have been shown to lead to anteversion measurement errors as high as 27 degrees. Similarly, there is a perception that performing total hip arthroplasty through the anterior exposure can result in reliable cup positioning when fluoroscopy is used, but such procedures have also been shown to have a high incidence of cup malposition.
Image-free navigation, image-based navigation, and image-based robotics can potentially lead to accurate component placement. Adoption of these technologies, however, has been limited, possibly due to the increase in time of use, complexity, and cost of these systems. Robotic systems have also proven to be potentially hazardous and inaccurate in routine clinical use. A cloud-based, patient-specific hip surgery planning and smart-tool cup navigation system was developed to address the most common technical problems affecting hip arthroplasty (HipXpert System, Surgical Planning Associates, Boston, MA). The methodology provides the surgeon with a full 3D plan of the surgery including cup size, cup orientation, stem size, head length, femoral anteversion, and planned change in leg length and offset. The application controlling the plan allows the surgeon to instantly change the plan and shows the implants in both 3D and on multiplanar cross-sectional views. The associated smart tool is adjusted specifically for that patient and when docked, provides orientation information to the surgeon.
The system has been proven to be robust, with repeated studies showing accurate cup placement in 100% of cases including by an independent study. This compares to a recent study of robotic methods that measured 88% for inclination and 84% for anteversion.
Cloud-based 3D planning combined with smart mechanical navigation of cup placement offers the optimum combination of accuracy, speed, and simplicity for solving the ubiquitous problems of acetabular component malorientation and provides critical pre-operative information including acetabular and femoral component sizes, planned femoral anteversion, and planned changes in leg length and offset of the surgery.
