A5072140983- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Prostate Cancer Diagnosis and Treatment
- Radiation Therapy and Dosimetry
- Radiation Dose and Imaging
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Prostate Cancer Treatment and Research
- Effects of Radiation Exposure
- Advances in Oncology and Radiotherapy
- Statistical Methods in Clinical Trials
- Glioma Diagnosis and Treatment
- Radiation Effects and Dosimetry
- Lung Cancer Diagnosis and Treatment
- Cancer Immunotherapy and Biomarkers
- Radiopharmaceutical Chemistry and Applications
- Health Systems, Economic Evaluations, Quality of Life
- Colorectal Cancer Surgical Treatments
- Mathematical Biology Tumor Growth
- Pancreatic and Hepatic Oncology Research
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
- Brain Metastases and Treatment
- MRI in cancer diagnosis
- Immunotherapy and Immune Responses
The University of Western Australia
2016-2025
Sir Charles Gairdner Hospital
2016-2025
University of Wisconsin–Madison
2023-2025
Heidelberg University
2012-2024
Centre for Cancer Biology
2024
University Hospital Heidelberg
2012-2024
University Medical Centre Mannheim
2012-2024
Odense University Hospital
2024
University of Wollongong
2018-2023
Claremont Colleges
2020-2021
The Global Quality Assurance of Radiation Therapy Clinical Trials Harmonization Group (GHG) is a collaborative group (RTQA) Groups harmonizing and improving RTQA for multi-institutional clinical trials. objective the GHG OAR Working was to unify contouring guidance across groups by compiling single reference list OARs in line with AAPM TG 263 ASTRO, together peer-reviewed, anatomically defined integration into trial protocols independent radiation therapy delivery technique.The comprised 22...
Abstract Objective . Clinical implementation of synthetic CT (sCT) from cone-beam (CBCT) for adaptive radiotherapy necessitates a high degree anatomical integrity, Hounsfield unit (HU) accuracy, and image quality. To achieve these goals, vision-transformer anatomically sensitive loss functions are described. Better quantification quality is achieved using the alignment-invariant Fréchet inception distance (FID), uncertainty estimation sCT risk prediction implemented in scalable plug-and-play...
Cell survival following exposure to spatially modulated beams, as created by intensity-modulated radiotherapy (IMRT), is investigated. In vitro experiments were performed using malignant melanoma cells (MM576) exposed a therapeutic megavoltage photon beam. We compared cell in fields with uniform control fields. Three different spatial modulations of the field used: 'uniform' which all flask uniformly exposed; 'quarter' 25% at one end and 'striped' three parallel stripes. The both shielded...
This study examined the variation of dose–volume histogram (DVH) data sourced from multiple radiotherapy treatment planning systems (TPSs). Treatment plan exports were obtained 33 Australian and New Zealand centres during a dosimetry study. Plan information, including DVH data, was exported TPS at each centre reviewed in digital review system (SWAN). The then used to produce an independent calculation information for delineated structure. relationships between DVHs extracted independently...
Abstract Introduction Aging skeletal muscle is associated with not only a reduction in size and strength but also quality which reflects an increase fatty infiltration of muscle. In men prostate cancer, androgen deprivation therapy ( ADT ) accelerates this loss strength, it unknown if adversely affected. Therefore, we examined the effects on attenuation, indirect measure intramuscular lipid content, as well cross‐sectional area CSA cancer. Methods Pre‐ post‐CT scans pelvis 39 aged 49–78...
Bio-medical image segmentation models typically attempt to predict one that resembles a ground-truth structure as closely possible. However, medical images are not perfect representations of anatomy, obtaining this ground truth is A surrogate commonly used have multiple expert observers define the same for dataset. When on there can be significant differences depending structure, quality/modality and region being defined. It often desirable estimate type aleatoric uncertainty in model help...
This study aimed to develop and assess an automated segmentation framework based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga]Ga-PSMA-11 PET/CT images the purpose of extracting patient-level prognostic biomarkers.Three hundred thirty-seven were retrieved from a cohort biochemically recurrent PCa patients. A fully 3D convolutional neural network (CNN) is proposed which self-configuring nnU-Net framework, was trained subset these scans, with independent...
Introduction Glioblastoma is the most common aggressive primary central nervous system cancer in adults characterised by uniformly poor survival. Despite maximal safe resection and postoperative radiotherapy with concurrent adjuvant temozolomide-based chemotherapy, tumours inevitably recur. Imaging O-(2-[ 18 F]-fluoroethyl)-L-tyrosine (FET) positron emission tomography (PET) has potential to impact (RT) planning, distinguish between treatment-induced pseudoprogression versus tumour...
Background and purposeThe [18]F-fluoroethyl-L-tyrosine (FET) PET in Glioblastoma (FIG) study is an Australian prospective, multi-centre trial evaluating FET for newly diagnosed glioblastoma management. The Radiation Oncology credentialing program aimed to assess the feasibility Oncologist (RO) derivation of standard-of-care (MR) hybrid (MR + FET) target volumes, which incorporated pre-defined biological tumour volumes (BTVs).Materials methodsCentral review analysis MR-derived (TVMR)...
Abstract Prostate cancer is a significant global health issue due to its high incidence and poor outcomes in metastatic disease. This study aims develop models predicting overall survival for patients with biochemically recurrent prostate cancer, potentially helping identify high-risk enabling more tailored treatment options. A multi-centre cohort of 180 such underwent [ 68 Ga]Ga-PSMA-11 PET/CT scans, lesions semi-automatically segmented radiomic features extracted from lesions. The analysis...