Projects
18F-PSMA-1007 PET/MR imaging, quantification and radiomics in the primary staging of prostate cancer and response prediction after neoadjuvant hormonal therapy KU Leuven
Prostate-specific membrane antigen (PSMA) is a cell-surface glycoprotein overexpressed on prostate cancer (PCa) cells. At present, PSMA PET is the gold standard to localize disease in patients with biochemically recurrent PCa and guides treatment in this clinical scenario. However, the role of PSMA PET in primary staging and its effect on patient management and outcome has only been studied in a limited number of mostly retrospective studies. ...
The use of radiomics in breast cancer screening for high risk patients KU Leuven
It is well known that the risk to develop breast cancer is different for different groups of women. In this project, we will focus on a specific sub group, namely the women with higher than normal risk to develop cancer. One factor that determines the risk to develop cancer is the amount of glandular tissue in the breast, known as breast glandularity. The breasts are typically categorized into BIRADS categorized. However, many other factors ...
Development of deep learning and radiomics techniques for contrast enhanced mammography: in silico testing with synthetic images to encompass less common cancer subtypes KU Leuven
The difficulty of detecting and/or characterizing less common breast cancer subtypes from medical images has long been recognized. The combination of advances in x-ray imaging and artificial intelligence (AI) open up new avenues for this problem. This project will build and validate a combined deep learning and handcrafted radiomics solution for contrast enhanced mammography (CEM). The new tool will offer decision support for detection and ...
Development of deep learning and radiomics techniques for contrast enhanced mammography: in silico testing with synthetic images to encompass less common cancer subtypes KU Leuven
The difficulty of detecting and/or characterizing less common breast cancer subtypes from medical images has long been recognized. The combination of advances in x-ray imaging and artificial intelligence (AI) open up new avenues for this problem. This project will build and validate a combined deep learning and handcrafted radiomics solution for contrast enhanced mammography (CEM). The new tool will offer decision support for detection and ...
Accurate patient-individual prediction of proton therapy benefit in thoracic cancers using 3D dose maps and radiomics KU Leuven
State-of-the-art curative radiotherapy for thoracic cancers comes with a considerable risk of radiation-induced toxicity, mostly related to incidental radiation dose to the lungs and the heart. Proton therapy (PT) is an innovative treatment modality that exploits the physical properties of protons to more accurately deposit dose. Promising PT results have been published, showing low extraneous dose and limited toxicity. The high cost of PT ...
Development of deep learning and radiomics techniques for contrast enhanced mammography: in silico testing with synthetic images to encompass less common cancer subtypes KU Leuven
The difficulty of detecting and/or characterizing less common breast cancer subtypes from medical images has long been recognized. The combination of advances in x-ray imaging and artificial intelligence (AI) open up new avenues for this problem. This project will build and validate a combined deep learning and handcrafted radiomics solution for contrast enhanced mammography (CEM). The new tool will offer decision support for detection and ...
Short term changes in "Radiomic" features predict long-term treatment effectiveness Hasselt University
The role of oral microbiota on the development of oral radiomucositis Ghent University
Critical normal tissue reactions in head and neck cancer patients treated with radio(chemo)therapy are mucosal
injury (radiomucositis) and associated swallowing problems (dysphagia). Radio(chemo)therapy induces
radiomucositis in all patients and up to 50% may need percutaneous endoscopic gastrostomy (PEG) tube
feeding. Patients in dose-intensification protocols show increased risk of poorly healing mucosal injury, often ...