SIGN UP
SIGN IN
RPA HOME
MDANDERSON.ORG
LANGUAGES
English
Español
Portugês
MENU
Sign Up
Sign In
MDAnderson.org
Languages
Español
Portugês
English
ABOUT
OUR SERVICES
PUBLICATIONS
CONTACT US
Access Code
We are currently in a testing period. Access is by invitation only.
SUBMIT
ABOUT
OUR SERVICES
PUBLICATIONS
CONTACT US
Publications
RPA Overview
Click to Expand
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System, Court et al.
This paper provides an overview of the RPA, including instructions for use for the first version of the RPA. Although the system has been significantly updated, this paper does provide an introduction to the overall concept of the RPA.
Click to Expand
A risk assessment of automated treatment planning and recommendations for clinical deployment, Kisling et al.
This paper describes a risk analysis of the automated treatment planning process, including guidelines for safe use.
Cervix Cancer
(figure from the linked manuscript)
Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics, Kisling et al.
This paper describes the algorithms used to automatically create 4-field box plans to treat cervical cancer.
Post-Mastectomy Breast
(figure from the linked manuscript)
Automated treatment planning of postmastectomy radiotherapy, Kisling et al.
This paper describes the algorithms used to generate tangents and supraclavicular fields, including field-in-field optimization.
Head and Neck
Click to Expand
Retrospective Validation and Clinical Implementation of Automated Contouring of Organs at Risk in the Head and Neck: A Step Toward Automated Radiation Treatment Planning for Low- and Middle-Income Countries, McCarroll et al.
This paper describes the testing and clinical deployment of our multi-atlas approach to normal tissue contouring.
Click to Expand
Automatic detection of contouring errors using convolutional neural networks, Rhee et al.
This paper describes the testing of deep learning contouring for head and neck normal tissues, and the automatic detection of contouring errors.
© 2020 The University of Texas MD Anderson Cancer Center