Publications by authors named "A R Godley"
Purpose: Daily online adaptive radiation therapy (oART) opens the opportunity to treat gastric mucosa-associated lymphoid tissue (MALT) lymphoma with a reduced margin. This study reports our early experience of cone beam computed tomography (CBCT)-based daily oART treating gastric MALT lymphoma with breath-hold and reduced margins.
Methods And Materials: Ten patients were treated on a CBCT-based oART system.
Background And Purpose: Daily online adaptive radiotherapy (DART) increases treatment accuracy by crafting daily customized plans that adjust to the patient's daily setup and anatomy. The routine application of DART is limited by its resource-intensive processes. This study proposes a novel DART strategy for head and neck squamous cell carcinoma (HNSCC), automizing the process by propagating physician-edited treatment contours for each fraction.
View Article and Find Full Text PDFPurpose: Optimal head-and-neck cancer (HNC) treatment planning requires accurate and feasible planning goals to meet dosimetric constraints and generate robust online adaptive treatment plans. A new x-ray-based adaptive radiotherapy (ART) treatment planning system (TPS) version 2.0 emulator includes novel methods to drive the planning process including the revised intelligent optimization engine algorithm (IOE2).
View Article and Find Full Text PDFArticle Synopsis
- This study focused on developing a multiomics approach that combines radiomics, dosiomics, and delta features to predict treatment responses in brain metastasis (BM) patients receiving PULSAR therapy.
- Using data from 39 BM patients and 69 lesions, the researchers evaluated multiple models to categorize lesions based on a volume reduction of over 20% post-treatment, finding that their ensemble feature selection (EFS) model significantly outperformed individual models.
- The EFS model achieved high performance metrics, including an AUC of 0.979 and accuracy of 0.917, showcasing the potential of this integrated approach for better patient management and treatment optimization in BM cases.
Purpose: Online adaptive radiation therapy (oART) treatment planning requires evaluating the temporal robustness of reference plans and anticipating the potential changes during treatment courses that may even lead to risks unique to the adaptive workflow. This study conducted a risk analysis of the cone beam computed tomography guided adaptive workflow and is the first to assess an adaptive-specific reference planning review that mitigates risk in the planning process to prevent events and treatment deficiencies during adaptation.
Methods And Materials: A quality management team of medical physicists, residents, physicians, and radiation therapists performed a fault tree analysis and failure mode and effects analysis.