Publications by authors named "Pierre Putzeys"
Article Synopsis
- The study aims to improve total hip arthroplasty (THA) stability by developing an AI algorithm that predicts impingement based on individual spinopelvic mechanics and patient characteristics.
- Conducted across two centers with 157 adults, the research utilized robotic technology to assess impingement during specific movements and employed the Light Gradient-Boosting Machine (LGBM) for prediction analysis.
- The results showed LGBM's prediction accuracy for impingement at 70.2%, with notable performance in estimating direction (85%) and type (72.9%), highlighting the potential of AI in enhancing THA outcomes.
Background: The objective of this study was to evaluate the correlation in measurements of the lower-limb coronal alignment between long-leg radiographs (LLRs) and computed tomography (CT) scanograms that were made during preoperative planning for robotic-arm-assisted knee arthroplasty. On the basis of published evidence demonstrating a good correlation between these imaging modalities in measuring the lower-limb mechanical axis, we hypothesized that there would be no significant differences between the 2 in the present study.
Methods: This multicenter cohort study across 3 tertiary centers included 300 patients undergoing primary robotic-arm-assisted total knee arthroplasty (TKA) or unicompartmental knee arthroplasty (UKA) for whom LLRs and CT scanograms were available preoperatively.
Hip, spine, and pelvis function as a unified kinetic chain. Any spinal pathology, results in compensatory changes in the other components to accommodate for the reduced spinopelvic motion. The complex relationship between spinopelvic mobility and component positioning in total hip arthroplasty presents a challenge in achieving functional implant positioning.
View Article and Find Full Text PDFArticle Synopsis
- Accurate implant positioning in Total Hip Arthroplasty (THA) is crucial for patient stability and range of motion, and should be personalized due to variations in each patient's biomechanics and spinopelvic mobility.
- The manuscript discusses challenges related to spinopelvic imbalance and introduces a systematic method for achieving functional-component positioning in surgery.
- Results from robotic-assisted THA indicate that using this technology improves planning accuracy, preserves important anatomical parameters, and enhances patient satisfaction and clinical outcomes.
Robotic-arm-assisted total hip arthroplasty (RoTHA) offers the opportunity to improve the implant positioning and restoration of native hip mechanics. The concept of individualised, functional implant positioning and how it relates to spinopelvic imbalance is an important yet rather novel consideration in THA. There is mounting evidence that a significant percentage of dislocations occur within the perceived "safe zones"; hence, in the challenging subset of patients with a stiff spinopelvic construct, it is imperative to employ individualised component positioning based on the patients' phenotype.
View Article and Find Full Text PDF