title: A patient-specific predictive model increases preoperative templating accuracy in hip arthroplasty.
abstract: Application of digital radiography during preoperative templating has shown potential to reduce complications in total hip arthroplasty. In this study, we aimed to further improve digital templating by using a predictive model built on patients' specific data. The model was significant in improving the accuracy of templating within ±1 size of acetabular component (χ(2)(1, N=468)=19.314, P<0.0001, Φ=0.604, and odds-ratio: 7.750 (95% CI 2.740-30.220)). We successfully achieved a 99% accuracy within ±2 of templated size. Additionally, patient demographics, such as height and weight, have shown significant effects on the predictive model. The outcome of this study may help reducing the costs of health care in the long term by minimizing implant inventory costs.
authors.affiliation: Memorial Bone & Joint Research Foundation, Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston-Medical School, Houston, Texas.
authors.forename: Amir
authors.initials: A
authors.lastname: Pourmoghaddam
authors.affiliation: Memorial Bone & Joint Research Foundation, Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston-Medical School, Houston, Texas.
authors.forename: Marius
authors.initials: M
authors.lastname: Dettmer
authors.affiliation: Memorial Bone & Joint Research Foundation, Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston-Medical School, Houston, Texas.
authors.forename: Adam M
authors.initials: AM
authors.lastname: Freedhand
authors.affiliation: Memorial Bone & Joint Research Foundation, Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston-Medical School, Houston, Texas.
authors.forename: Brian C
authors.initials: BC
authors.lastname: Domingues
authors.affiliation: Memorial Bone & Joint Research Foundation, Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston-Medical School, Houston, Texas.
authors.forename: Stefan W
authors.initials: SW
authors.lastname: Kreuzer
mesh_terms: D000077:Acetabulum / Q000000981:diagnostic imaging*; D000368:Aged; D019644:Arthroplasty, Replacement, Hip / Q000379:methods*; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009336:Necrosis / Q000601:surgery; D016017:Odds Ratio; D010003:Osteoarthritis / Q000601:surgery; D011856:Radiographic Image Enhancement / Q000379:methods*; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012984:Software
keywords: Traumacad; anterior approach; digital imaging; hip arthroplasty; preoperative templating