Background: Successful total knee arthroplasty (TKA) includes accurate alignment. Controversy remains as to whether computer-navigated TKA improves the overall result and clinical outcome. Our aim is to compare the limb alignment and prosthesis positioning according to the pre- and postoperative computed tomography (CT) scans with the data collected from the navigation system.
Methods: We compared the pre- and postoperative limb alignments and prosthesis alignment provided by the Orthopilot navigation system, Aesculap®, with CT scans measured by the Traumacad® software of 70 TKAs.
Results: A positive correlation with statistical significance (P=0.00001, r=0.874) between the navigation system data and the CT images was found. Mean femoral cut was five degrees (valgus), and mean tibial cut was one degree (varus). Our study revealed that the navigation system assisted the surgeon to implant the prosthesis at a good acceptable alignment.
Conclusion: We found that the navigation system is accurate and correlates to the pre- and postoperative CT scans. Furthermore, the navigation system can assist the surgeon to achieve good limb alignment and cutting planes of the prosthesis.
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http://dx.doi.org/10.1016/j.knee.2017.03.006 | DOI Listing |
Database (Oxford)
January 2025
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India.
Amidst the global challenge of extreme poverty, the livestock sector can significantly contribute to global sustainable development goals by enhancing resilience, smallholder productivity, and market participation. The Indian livestock sector is one of the largest in the world with a total livestock population of 535.82 million, ∼10.
View Article and Find Full Text PDFJ Marital Fam Ther
January 2025
Department of Counseling and Family Sciences, Loma Linda University, Loma Linda, CA, USA.
In the United States, socioeconomic disparities are a reality that shapes the challenges many communities of color experience. Throughout the globe, community-based initiatives have been explored as a way to reduce several barriers that contribute to social inequalities. One in particular, the Promotora framework, has been widely used to improve health outcomes.
View Article and Find Full Text PDFSurg Innov
January 2025
Department of Surgery, Show Chwan Memorial Hospital, Changhua, Taiwan.
This study evaluates the feasibility of Apple Vision Pro goggles as an augmented reality (AR) surgical navigation tool for laparoscopic-assisted ultrasound-guided radiofrequency ablation (RFA) of liver tumors. Traditional RFA is effective but challenging due to the integration of multiple imaging modalities. The primary aim of this research is to assess how Vision Pro goggles can enhance the surgical navigation process during RFA, improving tumor localization and the overall effectiveness of the procedure.
View Article and Find Full Text PDFNeurol Int
December 2024
Santa Lucia Foundation, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy.
Background/objectives: Drug development involves multiple stages, spanning from initial discovery to clinical trials. This intricate process entails understanding disease mechanisms, identifying potential drug targets, and evaluating the efficacy and safety of candidate drugs. Clinical trials are designed to assess the effects of drugs on humans, focusing on determining safety profiles, appropriate modes of administration, and comparative efficacy against placebos.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.
The integration of artificial intelligence into daily life significantly enhances the autonomy and quality of life of visually impaired individuals. This paper introduces the Visual Impairment Spatial Awareness (VISA) system, designed to holistically assist visually impaired users in indoor activities through a structured, multi-level approach. At the foundational level, the system employs augmented reality (AR) markers for indoor positioning, neural networks for advanced object detection and tracking, and depth information for precise object localization.
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