Publications by authors named "P W Greer"
The aim of this work was to evaluate results of a remote electronic portal imaging based dosimetric auditing method using Task-Group 218 clinical gamma evaluation criteria (3%,2 mm, 10% dose threshold). For intensity modulated radiation therapy the results were (mean ± 1 SD) 97.9 ± 4.
View Article and Find Full Text PDFRecurrent acute and chronic pancreatitis (RAP, CP) are complex, progressive inflammatory diseases with variable pain experiences impacting patient function and quality of life. The genetic variants and pain pathways in patients contributing to most severe pain experiences are unknown. We used previously genotyped individuals with RAP/CP from the North American Pancreatitis Study II (NAPS2) of European Ancestry for nested genome-wide associated study (GWAS) for pain-severity, chronicity, or both.
View Article and Find Full Text PDFEvaluation of an improved picket fence style test for routine MLC positional QA.
J Appl Clin Med Phys
November 2024
Purpose: The aim was to develop and evaluate an EPID-based MLC positional test that addresses known weaknesses of the picket fence test and has sufficient accuracy so that the AAPM MPPG 8.b. MLC position action limit of ± 0.
View Article and Find Full Text PDFArticle Synopsis
- * The SPARK trial was a phase II study involving 48 patients that utilized KIM technology to monitor real-time tumor movements and evaluate the accuracy of cancer targeting during radiotherapy.
- * The publicly available dataset includes a variety of imaging and treatment data, stored at the University of Sydney eScholarship Repository, which can be used for further research and analysis in the field of radiotherapy.
Article Synopsis
- This observational study explores the use of x-ray images of chemoembolisation deposits for real-time image-guided radiation therapy in patients with hepatocellular carcinoma.
- The study involves 50 patients who have undergone or will undergo stereotactic ablative radiation therapy, analyzing their imaging data and developing a deep learning method for motion tracking.
- The goal is to demonstrate that the deep learning software can accurately track the placement of chemoembolisation materials, improving targeting accuracy without needing invasive procedures for fiducial markers.