Publications by authors named "E Tryggestad"
Purpose: To evaluate the safety and efficacy of pencil beam scanning (PBS) proton radiation therapy (RT) in trimodality therapy for esophageal cancer.
Methods And Materials: This prospective pilot study was planned to accrue 30 patients with locally advanced esophageal or gastroesophageal junction carcinoma medically suitable for chemoradiation therapy (CRT) followed by esophagectomy. PBS proton RT consisted of 25 fractions, 50 Gy to tumor + 1 cm and 45 Gy to a 3.
Introduction: Manual review of organ at risk (OAR) contours is crucial for creating safe radiotherapy plans but can be time-consuming and error prone. Statistical and deep learning models show the potential to automatically detect improper contours by identifying outliers using large sets of acceptable data (knowledge-based outlier detection) and may be able to assist human reviewers during review of OAR contours.
Methods: This study developed an automated knowledge-based outlier detection method and assessed its ability to detect erroneous contours for all common head and neck (HN) OAR types used clinically at our institution.
Article Synopsis
- The study examines the use of a deep learning (DL) autosegmentation model to speed up organ-at-risk segmentation in radiation therapy for head and neck cancer, aiming to improve treatment access without sacrificing accuracy.
- Expert radiation oncologists created gold standard (GS) contours on CT images, and a custom 3D U-Net DL model was trained to generate contour predictions, which were then compared to contours made by medical dosimetry assistants (MDAs) in a randomized trial.
- Results showed that using the DL model significantly reduced contouring time by 76% overall and 35% specifically in RO revisions, while the accuracy of DL-generated contours was equal or superior to those revised by MDAs, with 76%
Purpose: To evaluate the performance of a new, highly flexible radiofrequency (RF) coil system for imaging patients undergoing MR simulation.
Methods: Volumetric phantom and in vivo images were acquired with a commercially available and prototype RF coil set. Phantom evaluation was performed using a silicone-filled humanoid phantom of the head and shoulders.