Custom implants are used to treat patients with large acetabular bone defects. To quantify the bone defect and to initialize the implant design, a virtual anatomical reconstruction of the bone needs to be performed. Our SSM-based reconstruction approach was used to overcome the limitations of the mirrored contralateral method and improves upon other SSM reconstruction techniques. The reconstruction errors for the acetabular direction, the hip joint center and the acetabular radius were, respectively: [Formula: see text], 2.6 mm and 0.7 mm. We believe that our method can be an essential tool in the planning and the design of custom implants.
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http://dx.doi.org/10.1080/10255842.2016.1265110 | DOI Listing |
Multimed Man Cardiothorac Surg
January 2025
New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom.
Robotic-assisted thoracic surgery has become increasingly utilized in recent years. Complex lung cancer resection surgery can be performed using a robotic approach. It facilitates 3-dimentional visualization of structures, enhanced manipulation of tissues and precise movements.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
December 2024
Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya, Japan.
We present a case of robot-assisted complex anatomical segmentectomy utilizing Resection Process Map (RPM) software. RPM enables the confirmation of internal structures obscured by lung parenchyma, thereby reducing the risk of injury or misidentification to essential structures. It facilitates an accurate understanding of anatomy beyond processed vessels, fostering collaboration among the surgical team and informed discussions.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
Center for Interdisciplinary Digital Sciences (CIDS), Department Information Services and High-Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany.
Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. In this study, using an in-silico analysis, we aim to improve predictive power for TTR by considering the role of (i) prognostically relevant information available through diagnostics used in the current SoC, (ii) advanced image-based information not currently part of the standard diagnostic workup, such as tumor-normal tissue interface (edge) features and quantitative data specific to biopsy positions within the tumor, and (iii) information on tumor-associated macrophages.
View Article and Find Full Text PDFRadiography (Lond)
January 2025
UniSA Allied Health & Human Performance, University of South Australia, Adelaide, SA 5001, Australia.
Introduction: Radiographers support the multidisciplinary team by facilitating medical imaging within the operating theatre environment. This project aimed to enhance student readiness for clinical competency in operative theatre imaging by implementing an authentic C-arm simulator for students to use prior to attending clinical placement.
Methods: This study followed a pre-post, quantitative study design.
Sci Rep
January 2025
Department of Oral and Maxillofacial Surgery, RWTH Aachen University Hospital, Pauwelsstraße 30, 52074, Aachen, Germany.
Background And Objectives: For the planning of surgical procedures involving the bony reconstruction of the mandible, the autologous iliac crest graft, along with the fibula graft, has become established as a preferred donor region. While computer-assisted planning methods are increasingly gaining importance, the necessary preparation of geometric data based on CT imaging remains largely a manual process. The aim of this work was to develop and test a method for the automated segmentation of the iliac crest for subsequent reconstruction planning.
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