Purpose: Radiation therapy (RT) is essential to managing many pediatric malignancies but can provoke anxiety, fear, and discomfort for children owing to prolonged treatment time, extended course, and restrictive immobilization. Patients younger than 10 years frequently require daily general anesthesia (GA), which is resource intensive, expensive, potentially toxic, and anxiety and fear provoking. Audio-Visual Assisted Therapeutic Ambience in Radiation Therapy (AVATAR), a video streaming device, has been proposed as an alternative to anesthesia in patients aged 3 to 10 years. A pilot study evaluating the efficacy of this novel innovation is accruing, but patients younger than 3 years are ineligible.
Methods And Materials: We simulated a 2-year-old with stage IV Wilms tumor for bilateral whole-lung and left-flank irradiation without GA. Using AVATAR, we attempted to deliver RT to this patient without sedation. Patient anxiety at the time of simulation and at the beginning, middle, and end of the treatment course was characterized using the validated Modified Yale Preoperative Anxiety Score (mYPAS) measurement tool.
Results: Although the patient tolerated computed tomography simulation without GA or AVATAR use, his mYPAS of 14 out of 18 indicated significant anxiety. Using AVATAR, all treatments were delivered without GA; his mYPASs were 5 and 4 (the lowest possible) and 4 at the first, midcourse, and final treatments, indicating no significant anxiety and a decrease from the pre-AVATAR baseline. Without GA, the time to deliver RT decreased by 66% from 90 to 30 minutes.
Conclusions: We describe an expanded, previously unreported indication for AVATAR by demonstrating the feasibility of this approach to reduce or omit anesthesia in appropriate younger patients currently excluded from ongoing trials. The financial and quality-of-life benefits (including decreased stress, anxiety, toxic effects, cost, and appointment time) of AVATAR use may be extendable to a younger patient population than previously thought. In older children, prospective validation is ongoing, but additional study in patients younger than 3 years is needed.
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http://dx.doi.org/10.1016/j.prro.2021.12.009 | DOI Listing |
Sci Rep
December 2024
Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the value of deep learning on CT imaging of metastatic lesions for predicting ICI treatment outcomes in advanced melanoma.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
View Article and Find Full Text PDFActa Otolaryngol
December 2024
Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Background: There is a lack of prognosticators of overall survival (OS) for Oral Squamous Cell Carcinoma (OSCC).
Objectives: We examined collaborative machine learning (cML) in estimating the OS of OSCC patients. The prognostic significance of the clinicopathological parameters was examined.
the evolution of axillary management in breast cancer has witnessed significant changes in recent decades, leading to an overall reduction in surgical interventions. There have been notable shifts in practice, aiming to minimize morbidity while maintaining oncologic outcomes and accurate staging for newly diagnosed breast cancer patients. These advancements have been facilitated by the improved efficacy of adjuvant therapies.
View Article and Find Full Text PDFsurgery for rectal cancer often presents multiple tactical and technical challenges due to factors such as the tumor's extent, limited anatomical space, proximity to the anal sphincter complex, and the use of neoadjuvant radiotherapy. These factors can significantly increase the complexity of surgery and the risk of both immediate and delayed complications, which can occur intraoperatively or postoperatively. Objective: the aim of this study was to retrospectively analyze the causes, diagnostic methods, and management of complications in patients who underwent surgery for rectal cancer.
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