radiation-planning-assistant-streamlined-fully-automated-radiotherapy

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

The Radiation Planning Assistant (RPA) is a system developed for the fully automated creation of radiotherapy treatment plans, including volume-modulated ...

radiation-planning-assistant-web-based-tool-to-support-high-quality

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Access to radiotherapy worldwide is limited. The Radiation Planning Assistant (RPA) is a fully automated, web-based tool that is being developed to offer ...

Stellenbosch University and Tygerberg Hospital

University Hospitals Plymouth NHS Trust

Very few published studies have dealt with the management of locally advanced cervix carcinoma among human immunodeficiency virus (HIV)-positive patients. The objective of this study was to compare the clinical characteristics, radiation and chemotherapy treatments, and outcomes in a cohort of HIV-positive and HIV-negative women with cervical cancer.

Completion of and early response to chemoradiation among human immunodeficiency virus (HIV)-positive and HIV-negative patients with locally advanced cervical carcinoma in South Africa.

The high-dose rate (HDR) brachytherapy treatment planning workflow for cervical cancer is a labor-intensive, time-consuming, and expertise-driven process. These issues are amplified in low/middle-income countries with large deficits in experienced healthcare professionals. Automation has the ability to substantially reduce bottlenecks in the planning process but often require a high level of expertise to develop.

Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience.

Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time through automation, but the impact of the wide range of hyperparameters to be set during training on model accuracy has not been exhaustively investigated. In the current study, we evaluated the effect of several convolutional neural network architectures and hyperparameters on 2D radiotherapy treatment field delineation.

ArticleTotal : 2	Year
Publication title Cited by 60	2018
Publication title Cited by 6	2023

Article	Year
Completion of and early response to chemoradiation among human immunodeficiency virus (HIV)-positive and HIV-negative patients with locally advanced cervical carcinoma in South Africa. Cancer\| PubMed ID: 22072021	2012
Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience. Journal of applied clinical medical physics\| PubMed ID: 37042449	2023
Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy. Journal of applied clinical medical physics\| PubMed ID: 37670488	2023

Hannah Simonds

Biography

JoVE Journal Publications

Other Publications