Publications by authors named "J Vigdorchik"

(1) Background: Imageless computer navigation systems have the potential to improve the accuracy of acetabular cup position in total hip arthroplasty (THA). Popular imageless navigation methods include locating the patient in a three-dimensional space (registration method) while using a baseline to angle the acetabular cup (reference plane). This study aims to compare the accuracy of different methods for determining postoperative acetabular cup positioning in THA via the direct anterior approach.

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Background: Spinopelvic mechanics are critical in total hip arthroplasty; however, there is no established consensus for adjusting acetabular component positioning based on spinopelvic parameters. This study aimed to (1) validate a recently developed Patient-Specific acetabular safe-zone calculator that factors in spinopelvic parameters and (2) compare differences with hip-spine classification targets.

Methods: A total of 3750 patients underwent primary total hip arthroplasty across 3 academic referral centers, with 33 (0.

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Article Synopsis
  • Understanding spinopelvic mechanics is essential for successful total hip arthroplasty (THA) as it affects prosthetic positioning and reduces dislocation risk.
  • The review focuses on addressing individual variability, postoperative changes, and the integration of advanced technologies and imaging techniques to improve surgical outcomes.
  • It emphasizes the need for personalized care through accurate predictions of spinopelvic mechanics and suggests the use of artificial intelligence to tailor treatments to individual patients.
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Introduction: Pelvic incidence - lumbar lordosis (PI-LL) mismatch is often considered when assessing spinopelvic alignment in the sagittal plane. The mismatch is conventionally obtained by measuring 2 separate angles on lateral spinopelvic radiographs. This study describes a simplified approach for assessing spinopelvic mobility and measuring the PI-LL mismatch through the evaluation of the L1-spinopelvis angle (L1SP).

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Background: Robotic-assisted arthroplasty is a growing alternative to conventionally instrumented arthroplasty; however, the incidence of adverse events (AEs) associated with this technology reported to the United States Food and Drug Administration (FDA) remains poorly quantified. The objective of this study was to categorize AEs associated with robotic-assisted arthroplasty and calculate their annual incidence as reported to the FDA.

Methods: The FDA's Manufacturer and User Facility Device Experience database was queried for AEs from January 1, 2017 to December 31, 2021 associated with the most prevalent robotic-arthroplasty system.

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