Literature DB >> 32828389

Automated Radiation Treatment Planning for Cervical Cancer.

Dong Joo Rhee1, Anuja Jhingran2, Kelly Kisling3, Carlos Cardenas4, Hannah Simonds5, Laurence Court4.   

Abstract

The radiation treatment-planning process includes contouring, planning, and reviewing the final plan, and each component requires substantial time and effort from multiple experts. Automation of treatment planning can save time and reduce the cost of radiation treatment, and potentially provides more consistent and better quality plans. With the recent breakthroughs in computer hardware and artificial intelligence technology, automation methods for radiation treatment planning have achieved a clinically acceptable level of performance in general. At the same time, the automation process should be developed and evaluated independently for different disease sites and treatment techniques as they are unique from each other. In this article, we will discuss the current status of automated radiation treatment planning for cervical cancer for simple and complex plans and corresponding automated quality assurance methods. Furthermore, we will introduce Radiation Planning Assistant, a web-based system designed to fully automate treatment planning for cervical cancer and other treatment sites.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32828389      PMCID: PMC7446764          DOI: 10.1016/j.semradonc.2020.05.006

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  40 in total

1.  Automated radiation therapy treatment plan workflow using a commercial application programming interface.

Authors:  Lindsey A Olsen; Clifford G Robinson; Guangrong R He; H Omar Wooten; Sridhar Yaddanapudi; Sasa Mutic; Deshan Yang; Kevin L Moore
Journal:  Pract Radiat Oncol       Date:  2013-12-19

2.  Management and Care of Women With Invasive Cervical Cancer: ASCO Resource-Stratified Clinical Practice Guideline.

Authors:  Linus T Chuang; Sarah Feldman; Carolyn Nakisige; Sarah Temin; Jonathan S Berek
Journal:  J Clin Oncol       Date:  2016-07-05       Impact factor: 44.544

3.  Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015.

Authors:  Patrik F Raudaschl; Paolo Zaffino; Gregory C Sharp; Maria Francesca Spadea; Antong Chen; Benoit M Dawant; Thomas Albrecht; Tobias Gass; Christoph Langguth; Marcel Lüthi; Florian Jung; Oliver Knapp; Stefan Wesarg; Richard Mannion-Haworth; Mike Bowes; Annaliese Ashman; Gwenael Guillard; Alan Brett; Graham Vincent; Mauricio Orbes-Arteaga; David Cárdenas-Peña; German Castellanos-Dominguez; Nava Aghdasi; Yangming Li; Angelique Berens; Kris Moe; Blake Hannaford; Rainer Schubert; Karl D Fritscher
Journal:  Med Phys       Date:  2017-04-21       Impact factor: 4.071

Review 4.  Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies.

Authors:  Shalini K Vinod; Michael G Jameson; Myo Min; Lois C Holloway
Journal:  Radiother Oncol       Date:  2016-10-08       Impact factor: 6.280

5.  Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems.

Authors:  Benjamin E Nelms; Greg Robinson; Jay Markham; Kyle Velasco; Steve Boyd; Sharath Narayan; James Wheeler; Mark L Sobczak
Journal:  Pract Radiat Oncol       Date:  2012-01-10

6.  Prospective clinical validation of independent DVH prediction for plan QA in automatic treatment planning for prostate cancer patients.

Authors:  Yibing Wang; Ben J M Heijmen; Steven F Petit
Journal:  Radiother Oncol       Date:  2017-10-20       Impact factor: 6.280

7.  Atlas ranking and selection for automatic segmentation of the esophagus from CT scans.

Authors:  Jinzhong Yang; Benjamin Haas; Raymond Fang; Beth M Beadle; Adam S Garden; Zhongxing Liao; Lifei Zhang; Peter Balter; Laurence Court
Journal:  Phys Med Biol       Date:  2017-11-14       Impact factor: 3.609

8.  Data-driven approach to generating achievable dose-volume histogram objectives in intensity-modulated radiotherapy planning.

Authors:  Binbin Wu; Francesco Ricchetti; Giuseppe Sanguineti; Michael Kazhdan; Patricio Simari; Robert Jacques; Russell Taylor; Todd McNutt
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-08-26       Impact factor: 7.038

9.  Automated contouring error detection based on supervised geometric attribute distribution models for radiation therapy: a general strategy.

Authors:  Hsin-Chen Chen; Jun Tan; Steven Dolly; James Kavanaugh; Mark A Anastasio; Daniel A Low; H Harold Li; Michael Altman; Hiram Gay; Wade L Thorstad; Sasa Mutic; Hua Li
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

10.  The Impact of Clinical Trial Quality Assurance on Outcome in Head and Neck Radiotherapy Treatment.

Authors:  Haoyu Zhong; Kuo Men; Jiazhou Wang; Johan van Soest; David Rosenthal; Andre Dekker; Zhen Zhang; Ying Xiao
Journal:  Front Oncol       Date:  2019-08-21       Impact factor: 6.244

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  2 in total

1.  Significance of ovarian transposition in the preservation of ovarian function for young cervical cancer patients undergoing postoperative volumetric modulated radiotherapy.

Authors:  Hanzi Xu; Chang Guo; Xiuming Zhang; Yaqin Wu; Biqing Zhu; Emei Lu; Zhihua Sun; Dan He; Fei Deng; Juan Lv; Zhen Gong
Journal:  Ann Transl Med       Date:  2021-12

2.  Development and validation of a checklist for use with automatically generated radiotherapy plans.

Authors:  Kelly A Nealon; Laurence E Court; Raphael J Douglas; Lifei Zhang; Eun Young Han
Journal:  J Appl Clin Med Phys       Date:  2022-06-30       Impact factor: 2.243

  2 in total

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