Publications by authors named "J Bayouth"
Purpose: Integrated MRI and linear accelerator systems (MR-Linacs) provide superior soft tissue contrast, and the capability of adapting radiotherapy plans to changes in daily anatomy. In this dataset, serial MRIs of the abdomen of patients undergoing radiotherapy were collected and the luminal gastro-intestinal tract was segmented to support an online segmentation algorithm competition. This dataset may be further utilized by radiation oncologists, medical physicists, and data scientists to further improve auto segmentation algorithms.
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- Four-dimensional computed tomography (4DCT) is crucial for radiation therapy but can suffer from motion artifacts that hinder accurate imaging.
- A deep learning algorithm using a U-net convolutional neural network was created to identify various artifact types in 4DCT images, trained on over 23,000 slices from 98 scans.
- The model outperformed previous methods with a sensitivity of 78%, specificity of 99%, and an ROC AUC of 0.99, showing it can effectively detect multiple artifacts in a single image.
Article Synopsis
- * Key quality assurance procedures include checking user interface settings, consistency in treatment planning and delivery systems, and verifying dose calculations and segmentation accuracy.
- * Results show that no major discrepancies occurred post-upgrade, with dose calculations remaining accurate within 1% and a 99.9% agreement between the treatment planning and delivery systems.
A Phase 2 Randomized Clinical Trial Evaluating 4-Dimensional Computed Tomography Ventilation-Based Functional Lung Avoidance Radiation Therapy for Non-Small Cell Lung Cancer.
Int J Radiat Oncol Biol Phys
August 2024
Purpose: To determine whether 4-dimensional computed tomography (4DCT) ventilation-based functional lung avoidance radiation therapy preserves pulmonary function compared with standard radiation therapy for non-small cell lung cancer (NSCLC).
Methods And Materials: This single center, randomized, phase 2 trial enrolled patients with NSCLC receiving curative intent radiation therapy with either stereotactic body radiation therapy or conventionally fractionated radiation therapy between 2016 and 2022. Patients were randomized 1:1 to standard of care radiation therapy or functional lung avoidance radiation therapy.
Characterization of mechanical and radiation isocenter on an MR-guided radiotherapy (MRgRT) Linac.
J Appl Clin Med Phys
November 2023
Background And Purpose: In the emerging paradigm of stereotactic radiosurgery being proposed for MR-guided radiotherapy (MRgRT), assessment of mechanical geometric accuracy is critical for the implementation of stereotactic delivery. We benchmarked the mechanical accuracy of an MR Linac system that lacks an onboard detector/array. Our mechanical tests utilize a half beam block (HBB) geometry that takes advantage of the sensitivity of a partially occluded detector.
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