Purpose: Accurate alignment and balanced flexion and extension gaps are critical elements in achieving a successful outcome following total knee arthroplasty (TKA). The ability to make accurate and precise bone cuts is essential in the creation of balanced gaps. We sought to determine if one type of modern-day standard surgical instrument using an intramedullary rod and posterior referencing produces accurate and precise distal and posterior femoral bone resections.
Materials And Methods: Seventy-five consecutive patients undergoing TKA were divided into three groups, with 25 patients in each group receiving one of three implant designs: 25 Stryker Triathlon® CR (Stryker, Mahwah, NJ), 25 Zimmer NexGen® Flex CR (Zimmer, Warsaw, IN), and 25 StelKast Proven Gen-FlexTM CR (StelKast, Pittsburgh, PA). Flexion-extension gap matching was determined using only the medial flexion and extension gaps. Accuracy was determined by comparing actual resection thickness to desired resection thickness. "Optimal" accuracy was considered to be within 1.0mm of desired, and "near-optimal" accuracy was considered to be within 2.0mm of the desired resection thickness. Precision was determined by the variability of resection thicknesses within each system.
Results: Data demonstrated a lack of accuracy and precision across all three tested systems, with each system resulting in certain unique tendencies. Only one out of 75 cases resulted in optimal resection accuracy with all three cuts (Zimmer). When lowering the threshold to include both optimal and near-optimal (within 2 mm of error) with all three cuts, only one third of Stryker and Zimmer cases and two thirds of StelKast cases achieved this threshold, representing 44% of cases (33/75).
Conclusions: Improvements in instrumentation to increase accuracy and precision may be warranted. Errors in fixation may be due to the instrumentation itself, and altering instrumentation to include less modularity, provide more stable fixation, and more reliably seal the implant on the femur may be of benefit.
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J Anat
January 2025
Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Digital muscle reconstructions have gained attraction in recent years, serving as powerful tools in both educational and research contexts. These reconstructions can be derived from various 2D and 3D data sources, enabling detailed anatomical analyses. In this study, we evaluate the efficacy of surface scans in accurately reconstructing the volumes of the rotator cuff and teres major muscles across a diverse sample of hominoids.
View Article and Find Full Text PDFSci Rep
January 2025
University of Ghana, P.O. Box 134, Legon-Accra, Ghana.
Sentiment analysis has become a difficult and important task in the current world. Because of several features of data, including abbreviations, length of tweet, and spelling error, there should be some other non-conventional methods to achieve the accurate results and overcome the current issue. In other words, because of those issues, conventional approaches cannot perform well and accomplish results with high efficiency.
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January 2025
Electronics and Communication Engineering Dept. Faculty of Engineering, Horus University, New Damietta, Egypt.
Electric vehicles (EVs) rely heavily on lithium-ion battery packs as essential energy storage components. However, inconsistencies in cell characteristics and operating conditions can lead to imbalanced state of charge (SOC) levels, resulting in reduced capacity and accelerated degradation. This study presents an active cell balancing method optimized for both charging and discharging scenarios, aiming to equalize SOC across cells and improve overall pack performance.
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January 2025
College of Computer and Data Science, Minjiang University, Fuzhou, 350018, China.
This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. We use an encoder network, jump connections, and a modified Convolutional Block Attention Module (CBAM) to detect gauge panels and pointer keypoints in images.
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Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, P. R. China.
Background: Paragangliomas are rare neoplasms arising from extra-adrenal chromaffin cells, with mediastinal paragangliomas representing an exceptionally rare subset. This report details the surgical management of a complex mediastinal paraganglioma case, presenting with refractory hypertension and invasion of critical surrounding structures. A comprehensive review of the current literature is included to underscore existing cases, enhance clinical awareness, and share our insights and experience in the diagnosis and treatment of this challenging condition.
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