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This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts. This 3D model is rapid-prototyped and coregistered with patient images and a reported surgical navigation system, establishing a clear link between the printed model and surgical navigation. This methodology highlights the potential for advanced neurosurgical preparation, which can begin before the patient enters the operation theatre. Moreover, the work presented here demonstrates the workflow developed at the National University Hospital of Iceland, Landspitali, focusing on the processes of anatomy segmentation, fiber tract extrapolation, MRI/CT registration, and 3D printing. Furthermore, we present a qualitative and quantitative assessment for fiber tract generation in a case study where these processes are applied in the preparation of brain tumor resection surgery.
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http://dx.doi.org/10.1155/2017/1439643 | DOI Listing |
J Robot Surg
September 2025
Department of CSE, United Institute of Technology, Coimbatore, India.
J Robot Surg
September 2025
ORSI Academy, Melle, Belgium.
This Letter to the Editor responds to the recent publication by Patel et al. (J Robot Surg. Jul 11;19(1):370, 2025), which outlines a framework and recommendations for telesurgery.
View Article and Find Full Text PDFJ Robot Surg
September 2025
Department of Urology/School of Clinical Medicine, North Sichuan Medical College/Affiliated Hospital of North Sichuan Medical College, No. 1, South Maoyuan Road, Shunqing District, Nanchong City, 63700, Sichuan Province, China.
Renal transplantation is the best option for end-stage renal disease, and in this study, patients who underwent robotic-assisted renal transplantation (RAKT) and open renal transplantation (OKT) were selected to compare their intraoperative and postoperative clinical outcomes: including Operation Time, Length of Stay, WIT (warm ischaemia time), CIT (cold ischaemia time), Estimated Blood Loss, Post 1 month Creatinine, Incision Length, Rewarming Time, Wound infection. The study was registered in PROSPERO with CRD code: CRD420251061084. We searched in Web of Science, Pubmed, Wiely, Elsevier databases, screened according to inclusion and exclusion criteria and finally included 7 papers.
View Article and Find Full Text PDFExp Clin Transplant
August 2025
>From the University of Maryland School of Medicine, Baltimore, Maryland, USA.
The development of non-Hodgkin lymphoma following liver transplant is rare. We present an unusual case of a 40-year-old female patient with morbid obesity who had undergone a deceased donor liver transplant for an unresectable neuroendocrine tumor of the liver 12 years ago. She presented with a lesion in the tail of pancreas that was suggestive of a recurrent neuroendocrine tumor.
View Article and Find Full Text PDFBMC Musculoskelet Disord
September 2025
Department of Clinical Sciences at Danderyds Hospital, Department of Orthopedic Surgery, Karolinska Institutet, Stockholm, 182 88, Sweden.
Background: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Methods: A retrospective analysis of 5,367 radiograph exams visualizing the elbow from adult patients (2002-2016) was conducted using a deep neural network. Radiographs were manually categorized according to the 2018 AO/OTA system by orthopedic surgeons.