Clinical Research Directory

Pre-Op THA Modelling

Replacing diseased hip joints with prosthetic implants in a procedure called total hip arthroplasty (THA) is associated with high rates of patient satisfaction, pain relief, and functional improvement when the implant is appropriately placed. Incorrect implant size or placement may lead to a breadth of negative outcomes, which could result in the need for implant revision. It is difficult to assess the precise orientation of patient hips on the operating table, with one study revealing that only 26% of acetabular cups placed without technological assistance are correctly positioned. Using computer navigation as a guide to achieve optimal implant alignment may improve successful placement rates. The additional incorporation of real-time modeling software may further help realize higher rates of successful implant placement. This study, therefore, aims to investigate a computer navigation system coupled with real-time modeling software to establish the benefit of such technology in the operating room, and further improve positive patient outcomes following THA. We hypothesize that including technological assistance in THAs will yield better patient outcomes compared to surgeries performed freehand.

Intraoperative Rapid Diagnosis of Glioma Based on Fusion of Magnetic Resonance and Ultrasound Imaging

The aim of this observational study is to enable rapid diagnosis of molecular biomarkers in patients during surgery by medical imaging and artificial intelligence models, to help clinicians with strategies to maximize safe resection of gliomas. The main questions it aims to answer are: 1. To solve the current clinical shortcomings of intraoperative molecular diagnosis, which is time-consuming and complex, and enables rapid and automated molecular diagnosis of glioma, thus providing the possibility of personalized tumor resection plans. 2. To implement a neuro-navigation platform that combines preoperative magnetic resonance images, intraoperative ultrasound signals and intraoperative ultrasound images to address real-time molecular boundary visualisation and molecular diagnosis for glioma, providing an approach to improve glioma treatment. Participants will read an informed consent agreement before surgery and voluntarily decide whether or not to join the experimental group. they will undergo preoperative magnetic resonance imaging, intraoperative ultrasound, and postoperative genotype identification. Their imaging data, genotype data, clinical history data, and pathology data will be used for the experimental study. The data collection process will not interrupt the normal surgical process.