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Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_16 | Pages 70 - 70
19 Aug 2024
Heimann AF Kowal JH Lane PM Amundson AJ Tannast M Murphy SB
Full Access

Mixed Reality has the potential to improve accuracy and reduce required dissection for the performance of peri-acetabular osteotomy. The current work assesses initial proof of concept of MR guidance for PAO.

A PAO planning module, based on preoperative computed tomography (CT) imaging, allows for the planning of PAO cut planes and repositioning of the acetabular fragment. 3D files (holograms) of the cut planes and native and planned acetabulum positions are exported with the associated spatial information. The files are then displayed on mixed reality head mounted device (HoloLens2, Microsoft) following intraoperative registration using an FDA-cleared mixed reality application designed primary for hip arthroplasty (HipInsight). PAO was performed on both sides of a bone model (Pacific Research). The osteotomies and acetabular reposition were performed in accordance with the displayed holograms. Post-op CT imaging was performed for analysis. Cutting plane-accuracy was evaluated using a best-fit plane and 2D angles (°) between the planned and achieved supra (SA)- and retroacetabular (RA) osteotomy and retroacetabular and ischial osteotomies (IO) were measured.

To evaluate the accuracy of acetabular reorientation, we digitized the acetabular rim and calculated the acetabular opening plane. Absolute errors of planned and achieved operative inclination and anteversion (°) of the acetabular fragment, as well as 3D lateral-center-edge (LCE) angles were calculated.

The mean absolute difference between the planned and performed osteotomy angles was 3 ± 3°.

The mean absolute error between planned and achieved operative anteversion and inclination was 1 ± 0° and 0 ± 0° respectively. Mean absolute error between planned and achieved 3D LCE angle was 0.5 ± 0.7°.

Mixed-reality guidance for the performance of pelvic osteotomies and acetabular fragment reorientation was feasible and highly accurate. This solution may improve the current standard of care by enabling reliable and precise reproduction of the desired acetabular realignment.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_12 | Pages 40 - 40
1 Oct 2019
Murphy WS Harris S Lin B Cheng T Murphy SB
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Introduction

Total Hip Arthroplasty has been shown to have excellent long term outcomes, yet early reoperation remains a risk. The current study assesses the incidence, causes, and cost associated with early revision following elective primary THA in the US Medicare population.

Methods

The study used the Limited Data Set (LDS) from the Centers for Medicate and Medicaid Services (CMS) to identify all primary THA (DRG 469/470) performed in the US (excluding Maryland) during 2016. All cases were followed for one year after the original date of operation to create a database of readmissions after surgery. These data allowed for the determination of the 1-year incidence and type of reoperation, the timing of reoperation, the admitting diagnosis, hospital utilization, and total cost.


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_13 | Pages 25 - 25
1 Oct 2018
Murphy W Cheng T Murphy SB
Full Access

Introduction

Patient demand for hip and knee arthroplasty continues to rise. Information sources providing data on the volume and cost of Medicare total joint arthroplasty by hospital are of use to patients and healthcare professionals. Data have demonstrated that higher volume surgeons are associated with lower cost, morbidity, and mortality. The current study assesses if the same is true for hospitals.

Methods

The Limited Data Set (LDS) from the Centers for Medicare and Medicaid (CMS) were used for this study. All elective, DRG 470 Total Hip Arthroplasties (THA) reported by CMS from the first quarter of 2013 through the second quarter of 2016 were included. Volume and part A Medicare payments over a 90-day period for the 20 highest volume hospitals in the US were analyzed. Cost associated with initial hospital stay and post discharge skilled nursing, home health, long term acute care, inpatient rehabilitation facilities, and readmission was aggregated and analyzed. For each episode, demographic information (age, sex, and race), geographic location, and Elixhauser comorbidities were calculated to control for major confounding factors in the regression.