Literature DB >> 29708544

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

Laurence E Court1, Kelly Kisling2, Rachel McCarroll2, Lifei Zhang2, Jinzhong Yang2, Hannah Simonds3, Monique du Toit3, Chris Trauernicht3, Hester Burger4, Jeannette Parkes4, Mike Mejia5, Maureen Bojador5, Peter Balter2, Daniela Branco2, Angela Steinmann2, Garrett Baltz2, Skylar Gay2, Brian Anderson2, Carlos Cardenas2, Anuja Jhingran6, Simona Shaitelman6, Oliver Bogler7, Kathleen Schmeller8, David Followill2, Rebecca Howell2, Christopher Nelson2, Christine Peterson9, Beth Beadle10.   

Abstract

The Radiation Planning Assistant (RPA) is a system developed for the fully automated creation of radiotherapy treatment plans, including volume-modulated arc therapy (VMAT) plans for patients with head/neck cancer and 4-field box plans for patients with cervical cancer. It is a combination of specially developed in-house software that uses an application programming interface to communicate with a commercial radiotherapy treatment planning system. It also interfaces with a commercial secondary dose verification software. The necessary inputs to the system are a Treatment Plan Order, approved by the radiation oncologist, and a simulation computed tomography (CT) image, approved by the radiographer. The RPA then generates a complete radiotherapy treatment plan. For the cervical cancer treatment plans, no additional user intervention is necessary until the plan is complete. For head/neck treatment plans, after the normal tissue and some of the target structures are automatically delineated on the CT image, the radiation oncologist must review the contours, making edits if necessary. They also delineate the gross tumor volume. The RPA then completes the treatment planning process, creating a VMAT plan. Finally, the completed plan must be reviewed by qualified clinical staff.

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Year:  2018        PMID: 29708544      PMCID: PMC5933447          DOI: 10.3791/57411

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  3 in total

1.  Overview of national guidelines for infrastructure and staffing of radiotherapy. ESTRO-QUARTS: work package 1.

Authors:  Ben J Slotman; Brian Cottier; Sören M Bentzen; Germaine Heeren; Yolande Lievens; Walter van den Bogaert
Journal:  Radiother Oncol       Date:  2004-12-23       Impact factor: 6.280

2.  Radiation therapy infrastructure and human resources in low- and middle-income countries: present status and projections for 2020.

Authors:  Niloy R Datta; Massoud Samiei; Stephan Bodis
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-04-18       Impact factor: 7.038

3.  European Federation of Organisations for Medical Physics (EFOMP) policy statement 12.1: Recommendations on medical physics education and training in Europe 2014.

Authors:  C J Caruana; S Christofides; G H Hartmann
Journal:  Phys Med       Date:  2014-06-20       Impact factor: 2.685

  3 in total
  18 in total

1.  Towards Estimating the Uncertainty Associated with Three-Dimensional Geometry Reconstructed from Medical Image Data.

Authors:  Marc Horner; Stephen M Luke; Kerim O Genc; Todd M Pietila; Ross T Cotton; Benjamin A Ache; Zachary H Levine; Kevin C Townsend
Journal:  J Verif Valid Uncertain Quantif       Date:  2019

2.  Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms.

Authors:  Kai Huang; Dong Joo Rhee; Rachel Ger; Rick Layman; Jinzhong Yang; Carlos E Cardenas; Laurence E Court
Journal:  J Appl Clin Med Phys       Date:  2021-03-29       Impact factor: 2.102

3.  Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant.

Authors:  Adenike Olanrewaju; Laurence E Court; Lifei Zhang; Komeela Naidoo; Hester Burger; Sameera Dalvie; Julie Wetter; Jeannette Parkes; Christoph J Trauernicht; Rachel E McCarroll; Carlos Cardenas; Christine B Peterson; Kathryn R K Benson; Monique du Toit; Ricus van Reenen; Beth M Beadle
Journal:  Pract Radiat Oncol       Date:  2021-02-25

4.  Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics.

Authors:  Kelly Kisling; Lifei Zhang; Hannah Simonds; Nazia Fakie; Jinzhong Yang; Rachel McCarroll; Peter Balter; Hester Burger; Oliver Bogler; Rebecca Howell; Kathleen Schmeler; Mike Mejia; Beth M Beadle; Anuja Jhingran; Laurence Court
Journal:  J Glob Oncol       Date:  2019-01

5.  Automatic detection of graticule isocenter and scale from kV and MV images.

Authors:  Raymond Fang; Jinzhong Yang; Weiliang Du; Laurence Court
Journal:  J Appl Clin Med Phys       Date:  2019-03-06       Impact factor: 2.102

6.  Automated treatment planning of postmastectomy radiotherapy.

Authors:  Kelly Kisling; Lifei Zhang; Simona F Shaitelman; David Anderson; Tselane Thebe; Jinzhong Yang; Peter A Balter; Rebecca M Howell; Anuja Jhingran; Kathleen Schmeler; Hannah Simonds; Monique du Toit; Christoph Trauernicht; Hester Burger; Kobus Botha; Nanette Joubert; Beth M Beadle; Laurence Court
Journal:  Med Phys       Date:  2019-07-09       Impact factor: 4.071

7.  Automation and integration of a novel restricted single-isocenter stereotactic body radiotherapy (a-RESIST) method for synchronous two lung lesions.

Authors:  Lana Sanford Critchfield; Justin Visak; Mark E Bernard; Marcus E Randall; Ronald C McGarry; Damodar Pokhrel
Journal:  J Appl Clin Med Phys       Date:  2021-05-25       Impact factor: 2.102

8.  Automatic detection of contouring errors using convolutional neural networks.

Authors:  Dong Joo Rhee; Carlos E Cardenas; Hesham Elhalawani; Rachel McCarroll; Lifei Zhang; Jinzhong Yang; Adam S Garden; Christine B Peterson; Beth M Beadle; Laurence E Court
Journal:  Med Phys       Date:  2019-09-26       Impact factor: 4.071

9.  Automatic contouring system for cervical cancer using convolutional neural networks.

Authors:  Dong Joo Rhee; Anuja Jhingran; Bastien Rigaud; Tucker Netherton; Carlos E Cardenas; Lifei Zhang; Sastry Vedam; Stephen Kry; Kristy K Brock; William Shaw; Frederika O'Reilly; Jeannette Parkes; Hester Burger; Nazia Fakie; Chris Trauernicht; Hannah Simonds; Laurence E Court
Journal:  Med Phys       Date:  2020-10-09       Impact factor: 4.071

10.  Support Vector Machine Model Predicts Dose for Organs at Risk in High-Dose Rate Brachytherapy of Cervical Cancer.

Authors:  Ping Zhou; Xiaojie Li; Hao Zhou; Xiao Fu; Bo Liu; Yu Zhang; Sheng Lin; Haowen Pang
Journal:  Front Oncol       Date:  2021-07-15       Impact factor: 6.244

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