Literature DB >> 28237294

Automatic planning on hippocampal avoidance whole-brain radiotherapy.

Shuo Wang1, Dandan Zheng2, Chi Zhang2, Rongtao Ma2, Nathan R Bennion2, Yu Lei2, Xiaofeng Zhu2, Charles A Enke2, Sumin Zhou2.   

Abstract

Mounting evidence suggests that radiation-induced damage to the hippocampus plays a role in neurocognitive decline for patients receiving whole-brain radiotherapy (WBRT). Hippocampal avoidance whole-brain radiotherapy (HA-WBRT) has been proposed to reduce the putative neurocognitive deficits by limiting the dose to the hippocampus. However, urgency of palliation for patients as well as the complexities of the treatment planning may be barriers to protocol enrollment to accumulate further clinical evidence. This warrants expedited quality planning of HA-WBRT. Pinnacle3 Automatic treatment planning was designed to increase planning efficiency while maintaining or improving plan quality and consistency. The aim of the present study is to evaluate the performance of the Pinnacle3 Auto-Planning on HA-WBRT treatment planning. Ten patients previously treated for brain metastases were selected. Hippocampal volumes were contoured on T1 magnetic resonance (MR) images, and planning target volumes (PTVs) were generated based on RTOG0933. The following 2 types of plans were generated by Pinnacle3 Auto-Planning: the one with 2 coplanar volumetric modulated arc therapy (VMAT) arcs and the other with 9-field noncoplanar intensity-modulated radiation therapy (IMRT). D2% and D98% of PTV were used to calculate homogeneity index (HI). HI and Paddick Conformity index (CI) of PTV as well as D100% and Dmax of the hippocampus were used to evaluate the plan quality. All the auto-plans met the dose coverage and constraint objectives based on RTOG0933. The auto-plans eliminated the necessity of generating pseudostructures by the planners, and it required little manual intervention which expedited the planning process. IMRT quality assurance (QA) results also suggest that all the auto-plans are practically acceptable on delivery. Pinnacle3 Auto-Planning generates acceptable plans by RTOG0933 criteria without time-consuming planning process. The expedited quality planning achieved by Auto-Planning (AP) may facilitate protocol enrollment of patients to further investigate the hippocampal-sparing effect and be used to ensure timely start of palliative treatment in future clinical practice.
Copyright © 2017 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auto-planning; Hippocampal avoidance whole-brain radiotherapy

Mesh:

Year:  2017        PMID: 28237294     DOI: 10.1016/j.meddos.2016.12.002

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  17 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.  Personalized setting of plan parameters using feasibility dose volume histogram for auto-planning in Pinnacle system.

Authors:  Wenlong Xia; Fei Han; Jiayun Chen; Junjie Miao; Jianrong Dai
Journal:  J Appl Clin Med Phys       Date:  2020-05-04       Impact factor: 2.102

3.  Quality assurance analysis of hippocampal avoidance in a melanoma whole brain radiotherapy randomized trial shows good compliance.

Authors:  Geoffrey Martinage; Angela M Hong; Mike Fay; Thanuja Thachil; Daniel Roos; Narelle Williams; Serigne Lo; Gerald Fogarty
Journal:  Radiat Oncol       Date:  2018-07-20       Impact factor: 3.481

4.  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

5.  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

6.  Dosimetric Comparison of Four Volumetric-Modulated Arc Therapy Beam Arrangements Utilized for Hippocampal-Sparing Whole-Brain Radiation Therapy.

Authors:  Alejandro Prado; Ana Isabel Milanés; Eduardo Cabello; Raúl Díaz; Alejandro Ferrando; Gustavo Pozo; Mario Leonor; Marta Manzano
Journal:  J Med Phys       Date:  2019 Jan-Mar

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

8.  Improved plan quality with automated radiotherapy planning for whole brain with hippocampus sparing: a comparison to the RTOG 0933 trial.

Authors:  J Krayenbuehl; M Di Martino; M Guckenberger; N Andratschke
Journal:  Radiat Oncol       Date:  2017-10-02       Impact factor: 3.481

9.  Dosimetric Evaluation of Pinnacle's Automated Treatment Planning Software to Manually Planned Treatments.

Authors:  Kristen A McConnell; Tyler Marston; Brianna Elizabeth Zehren; Aziz Lirani; Dennis N Stanley; Aaron Bishop; Richard Crownover; Tony Eng; Zheng Shi; Ying Li; Diana Baacke; Neil Kirby; Karl Rasmussen; Niko Papanikolaou; Alonso N Gutierrez
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

Review 10.  Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future.

Authors:  Chunhao Wang; Xiaofeng Zhu; Julian C Hong; Dandan Zheng
Journal:  Technol Cancer Res Treat       Date:  2019-01-01
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