Literature DB >> 33293869

Comparative Study of Auto Plan and Manual Plan for Nasopharyngeal Carcinoma Intensity-Modulated Radiation Therapy.

Xin Xin1, Chuandong Cheng1, Churong Li1, Jie Li1, Pei Wang1, Gang Yin1, Jinyi Lang1.   

Abstract

PURPOSE AND
OBJECTIVE: Auto planning might reduce the manual time required for the optimization and could also potentially improve the overall plan quality. The aim of this study is to demonstrate the statistical comparison of automatic (AU) and manually (MA) generated nasopharyngeal carcinoma (NPC) intensity-modulated radiation therapy (IMRT) plans.
MATERIALS AND METHODS: The study included 105 nasopharyngeal carcinoma patients, admitted to our hospital. The patients underwent IMRT treatments. The clinically delivered plans were performed with Eclipse (Version 11.0) using manual optimization. The same plans were optimized successively in PinnacleTM3 (version 9.10) treatment planning system using the auto plan software package module. D95 (dose of 95% volume) and D98 (dose of 98% volume) were calculated for the targets and maximum dose (Dmax) and mean dose (Dmean) for the organ at risks (OARs); moreover, the average doses of each target and OARs for 105 patients were evaluated.
RESULTS: There is no significant difference in the homogeneity of the target between AU and MA treatment plans, while a significant difference is observed for what is concerning the OARs or most of OARs in 105 patients, OAR doses were significantly reduced in AU plan. For OARs which have no significant difference between AU and MA plans are highlighted, the mean dose of OARs in AU plans was at least not higher than MA plans.
CONCLUSION: Nasopharyngeal carcinoma IMRT plans made by an automatic planning tool met the clinical requirements for target prescription dose; moreover, the dose of normal tissues was lower than in MA plans. Clinical physicists' time can be saved and the influence of factors such as the lack of experience in treatment planning can be avoided.
© 2020 Xin et al.

Entities:  

Keywords:  auto planning; manual planning; nasopharyngeal carcinoma

Year:  2020        PMID: 33293869      PMCID: PMC7719327          DOI: 10.2147/CMAR.S226495

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


  14 in total

1.  Intensity-modulated radiation therapy with or without chemotherapy for nasopharyngeal carcinoma: radiation therapy oncology group phase II trial 0225.

Authors:  Nancy Lee; Jonathan Harris; Adam S Garden; William Straube; Bonnie Glisson; Ping Xia; Walter Bosch; William H Morrison; Jeanne Quivey; Wade Thorstad; Christopher Jones; K Kian Ang
Journal:  J Clin Oncol       Date:  2009-06-29       Impact factor: 44.544

2.  A methodology for automatic intensity-modulated radiation treatment planning for lung cancer.

Authors:  Xiaodong Zhang; Xiaoqiang Li; Enzhuo M Quan; Xiaoning Pan; Yupeng Li
Journal:  Phys Med Biol       Date:  2011-06-08       Impact factor: 3.609

3.  Increased organ sparing using shape-based treatment plan optimization for intensity modulated radiation therapy of pancreatic adenocarcinoma.

Authors:  Steven F Petit; Binbin Wu; Michael Kazhdan; André Dekker; Patricio Simari; Rachit Kumar; Russel Taylor; Joseph M Herman; Todd McNutt
Journal:  Radiother Oncol       Date:  2011-06-15       Impact factor: 6.280

4.  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

5.  [Feasibility of Automatic Treatment Planning in Intensity-modulated Radiotherapy of Nasopharyngeal Carcinoma].

Authors:  Yinbo He; Longbin Zhang; Jianghong Xiao; Baofeng Duan
Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi       Date:  2015-12

6.  Quality of life after parotid-sparing IMRT for head-and-neck cancer: a prospective longitudinal study.

Authors:  Alexander Lin; Hyungjin M Kim; Jeffrey E Terrell; Laura A Dawson; Jonathan A Ship; Avraham Eisbruch
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-09-01       Impact factor: 7.038

7.  Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans.

Authors:  Christian Rønn Hansen; Anders Bertelsen; Irene Hazell; Ruta Zukauskaite; Niels Gyldenkerne; Jørgen Johansen; Jesper G Eriksen; Carsten Brink
Journal:  Clin Transl Radiat Oncol       Date:  2016-09-19

8.  Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?

Authors:  Juanqi Wang; Weigang Hu; Zhaozhi Yang; Xiaohui Chen; Zhiqiang Wu; Xiaoli Yu; Xiaomao Guo; Saiquan Lu; Kaixuan Li; Gongyi Yu
Journal:  Radiat Oncol       Date:  2017-05-22       Impact factor: 3.481

9.  Automatic planning of head and neck treatment plans.

Authors:  Irene Hazell; Karl Bzdusek; Prashant Kumar; Christian R Hansen; Anders Bertelsen; Jesper G Eriksen; Jørgen Johansen; Carsten Brink
Journal:  J Appl Clin Med Phys       Date:  2016-01-08       Impact factor: 2.102

10.  Automated IMRT planning with regional optimization using planning scripts.

Authors:  Ilma Xhaferllari; Eugene Wong; Karl Bzdusek; Michael Lock; Jeff Chen
Journal:  J Appl Clin Med Phys       Date:  2013-01-07       Impact factor: 2.102

View more
  1 in total

1.  Evaluation of auto-planning in VMAT for locally advanced nasopharyngeal carcinoma.

Authors:  Chen Jihong; Chen Kaiqiang; Dai Yitao; Zhang Xiuchun; Chen Yanyu; Bai Penggang
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.