Custom designed 3D printed implants offer a solution in patients where other reconstruction options are not available. For the design and fabrication of these implants, we collaborate with different companies. A 41 year old female suffered a combination of a large acetabular and a subtotal femoral defect, due to a chronic low grade periprosthetic joint infection of a revision total hip replacement. The final procedure included reconstruction of the pelvis with an OSSIS® AceOs plus custom acetabular implant. Femoral reconstruction was performed using a MUTARS® proximal femoral replacement with a custom MUTARS C-fit 3D printed joint sparing fixation, preserving the native knee joint and with this preventing the necessity for total femoral replacement.
Patient specific 3D printed hip implants offer a novel method to reconstruct large pelvic defects. Patients with such defects are in general not ambulatory and have large disabilities. These custom designed implants offer a solution in patients where other reconstruction options are not available. For the design and fabrication of these implants, we collaborate with OSSIS, a New Zealand based company.
A multi center study is on going to study the fixation of these implants using Radiostereometry.
Current techniques for producing tablets are mostly incapable of filling the gap between ‘one size fits all’ and individualized pharmaceutical treatment options. 3D printing allows the small-scale production of tailored dosage forms, precision dosing, polypills and optimized drug delivery. At the Department of Clinical Pharmacy and Toxicology, 3D-printed tablets are produced. With our research, patients can hopefully benefit from this novel personalized treatment as soon as possible.
Medical imaging has a pivotal role in clinical management of oncology patients. Over the past years, the ability to characterize cancer lesions has improved with the advent of hybrid imaging techniques, where X-ray computed tomography (CT) and magnetic resonance (MR) imaging are combined with PET and or SPECT. An important aspect of this characterization is the accuracy, precision and repeatability of imaging features under different imaging conditions. Simulation of different imaging conditions is typically achieved by performing standardized experiments using phantoms. We designed and developed a multimodality imaging phantom to allow testing of features in hybrid imaging. Our research showed that the fantom permits the simulation of heterogeneous uptake and enhancement patterns in the most commonly used tomographic imaging modalities in hybrid imaging and provided insight differences in image quantification between modalities.
To investigate new image-guided surgery technology for a minimal invasive robotic setting, phantoms are created that are compatible with various forms of medical imaging and allow for the surgical robotic platform to be docked, simulating the eventual surgical application.
Biomedical imaging enables us to literally see inside the human body. It allows us to visualise and understand diseases on different scales: from molecule to cell to tissue to man. During this half minor, organised by the Department of Radiology, (medicine) students learn more about advanced imaging technologies, including ultrasound, image guided interventions, advanced microscopic methods, as well as the application of such imaging with 3D models, artificial intelligence, surgical navigation and image-guided surgery.
The Imaging Services Group (ISG) at the department of Radiology, Leiden University Medical Center, is a specialized image processing group responsible for extracting relevant information from medical images for diagnosis and image-guided treatment decisions. This includes virtual surgical planning for liver resections, radiological reporting for oncological follow-up, and creation of 3D reconstructions for orthopaedic cases. The ISG is responsible for delivering high quality information to radiologists by using state-of-the art image processing software (including AI) that can be used for radiological reporting in clinical routine. Furthermore, the ISG is involved in many different research projects focusing on the development and introduction of new innovations in the field of imaging, as well as determining their added value in clinical practice.
Computer Assisted Reconstructive Surgery (CARS) represents a combination of computer assisted technologies that are used to improve reconstructive surgery of bones. In general these technologies consist of: preoperative planning; pre- and intraoperative (3D) imaging; patient specific implant selection (or manufacturing) and surgical navigation.
In this course the student will be trained in all aspects of computer assisted reconstructive surgery, including pre- and intraoperative imaging, preoperative planning, implant selection and design, and intraoperative navigation.
This course (Coursecode TM11008) is part of the interdisciplinary joint-degree Master programme in Technical Medicine.
The aim of this study was to engineer ‘click-on’ fluorescence detectors that transform standard robotic instruments into molecular sensing devices that enable the surgeon to detect near-infrared fluorescence signals in tissue grasped during every part of the surgical procedure. When used in combination with fluorescent tracers, this allows for a first step towards tissue characterisation via the surgical instruments themselves.
The education programmes Clinical Technology (BSc) and Technical Medicine (MSc) is a collaboration between the Technical University of Delft (TU Delft), Leiden University (LUMC) and Erasmus University Rotterdam (Erasmus MC). These three centers are collaborating within the Medical Delta.
The 3D-Lab+ contributes to these education programmes by giving lectures, practicums and providing and guiding clinical internships.