Literature DB >> 28770294

Automated IMRT planning in Pinnacle : A study in head-and-neck cancer.

J M A M Kusters1, K Bzdusek2, P Kumar3, P G M van Kollenburg4, M C Kunze-Busch4, M Wendling4, T Dijkema4, J H A M Kaanders4.   

Abstract

PURPOSE: This study evaluates the performance and planning efficacy of the Auto-Planning (AP) module in the clinical version of Pinnacle 9.10 (Philips Radiation Oncology Systems, Fitchburg, WI, USA). METHODS AND MATERIALS: Twenty automated intensity-modulated radiotherapy (IMRT) plans were compared with the original manually planned clinical IMRT plans from patients with oropharyngeal cancer.
RESULTS: Auto-Planning with IMRT offers similar coverage of the planning target volume as the original manually planned clinical plans, as well as better sparing of the contralateral parotid gland, contralateral submandibular gland, larynx, mandible, and brainstem. The mean dose of the contralateral parotid gland and contralateral submandibular gland could be reduced by 2.5 Gy and 1.7 Gy on average. The number of monitor units was reduced with an average of 143.9 (18%). Hands-on planning time was reduced from 1.5-3 h to less than 1 h.
CONCLUSIONS: The Auto-Planning module was able to produce clinically acceptable head and neck IMRT plans with consistent quality.

Entities:  

Keywords:  Auto-Planning; Automated planning; Head and neck cancer; Intensity-modulated radiotherapy; Treatment planning

Mesh:

Year:  2017        PMID: 28770294     DOI: 10.1007/s00066-017-1187-9

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  19 in total

1.  IMRT dose shaping with regionally variable penalty scheme.

Authors:  Cristian Cotrutz; Lei Xing
Journal:  Med Phys       Date:  2003-04       Impact factor: 4.071

2.  Experience-based quality control of clinical intensity-modulated radiotherapy planning.

Authors:  Kevin L Moore; R Scott Brame; Daniel A Low; Sasa Mutic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-01-27       Impact factor: 7.038

3.  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

4.  A conformation number to quantify the degree of conformality in brachytherapy and external beam irradiation: application to the prostate.

Authors:  A van't Riet; A C Mak; M A Moerland; L H Elders; W van der Zee
Journal:  Int J Radiat Oncol Biol Phys       Date:  1997-02-01       Impact factor: 7.038

5.  Fully automated volumetric modulated arc therapy plan generation for prostate cancer patients.

Authors:  Peter W J Voet; Maarten L P Dirkx; Sebastiaan Breedveld; Abrahim Al-Mamgani; Luca Incrocci; Ben J M Heijmen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-02-11       Impact factor: 7.038

6.  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

7.  Volumetric-modulated arc therapy for oropharyngeal carcinoma: a dosimetric and delivery efficiency comparison with static-field IMRT.

Authors:  Xiaofang Dai; Yingchao Zhao; Zhiwen Liang; Meera Dassarath; Lu Wang; Lihui Jin; Lili Chen; James Dong; Robert A Price; C-M Ma
Journal:  Phys Med       Date:  2014-10-03       Impact factor: 2.685

8.  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

9.  Evaluation of an automated knowledge based treatment planning system for head and neck.

Authors:  Jerome Krayenbuehl; Ian Norton; Gabriela Studer; Matthias Guckenberger
Journal:  Radiat Oncol       Date:  2015-11-10       Impact factor: 3.481

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

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  20 in total

Review 1.  Automation in intensity modulated radiotherapy treatment planning-a review of recent innovations.

Authors:  Mohammad Hussein; Ben J M Heijmen; Dirk Verellen; Andrew Nisbet
Journal:  Br J Radiol       Date:  2018-09-04       Impact factor: 3.039

2.  Automatic replanning of VMAT plans for different treatment machines: A template-based approach using constrained optimization.

Authors:  Luise A Künzel; Oliver S Dohm; Markus Alber; Daniel Zips; Daniela Thorwarth
Journal:  Strahlenther Onkol       Date:  2018-05-30       Impact factor: 3.621

3.  Artificial Intelligence in Radiation Therapy.

Authors:  Yabo Fu; Hao Zhang; Eric D Morris; Carri K Glide-Hurst; Suraj Pai; Alberto Traverso; Leonard Wee; Ibrahim Hadzic; Per-Ivar Lønne; Chenyang Shen; Tian Liu; Xiaofeng Yang
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-08-24

4.  Cautiously optimistic: A survey of radiation oncology professionals' perceptions of automation in radiotherapy planning.

Authors:  Vikneswary Batumalai; Michael G Jameson; Odette King; Rhiannon Walker; Chelsea Slater; Kylie Dundas; Glen Dinsdale; Andrew Wallis; Cesar Ochoa; Rohan Gray; Phil Vial; Shalini K Vinod
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2020-11-17

5.  Can the Student Outperform the Master? A Plan Comparison Between Pinnacle Auto-Planning and Eclipse knowledge-Based RapidPlan Following a Prostate-Bed Plan Competition.

Authors:  April Smith; Andrew Granatowicz; Cole Stoltenberg; Shuo Wang; Xiaoying Liang; Charles A Enke; Andrew O Wahl; Sumin Zhou; Dandan Zheng
Journal:  Technol Cancer Res Treat       Date:  2019 Jan-Dec

6.  Technical Assessment of an Automated Treatment Planning on Dose Escalation of Pancreas Stereotactic Body Radiotherapy.

Authors:  Shuo Wang; Dandan Zheng; Chi Lin; Yu Lei; Vivek Verma; April Smith; Rongtao Ma; Charles A Enke; Sumin Zhou
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

7.  Evaluation of auto-planning in IMRT and VMAT for head and neck cancer.

Authors:  Zi Ouyang; Zhilei Liu Shen; Eric Murray; Matt Kolar; Danielle LaHurd; Naichang Yu; Nikhil Joshi; Shlomo Koyfman; Karl Bzdusek; Ping Xia
Journal:  J Appl Clin Med Phys       Date:  2019-07-04       Impact factor: 2.102

Review 8.  Applications and limitations of machine learning in radiation oncology.

Authors:  Daniel Jarrett; Eleanor Stride; Katherine Vallis; Mark J Gooding
Journal:  Br J Radiol       Date:  2019-06-05       Impact factor: 3.629

9.  A hybrid automated treatment planning solution for esophageal cancer.

Authors:  Chifang Ling; Xu Han; Peng Zhai; Hao Xu; Jiayan Chen; Jiazhou Wang; Weigang Hu
Journal:  Radiat Oncol       Date:  2019-12-19       Impact factor: 3.481

10.  Auto- versus human-driven plan in mediastinal Hodgkin lymphoma radiation treatment.

Authors:  Stefania Clemente; Caterina Oliviero; Giuseppe Palma; Vittoria D'Avino; Raffaele Liuzzi; Manuel Conson; Roberto Pacelli; Laura Cella
Journal:  Radiat Oncol       Date:  2018-10-19       Impact factor: 3.481

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