Literature DB >> 27302513

Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy.

Amy T Y Chang1, Albert W M Hung2, Fion W K Cheung3, Michael C H Lee3, Oscar S H Chan2, Helen Philips4, Yung-Tang Cheng4, Wai-Tong Ng2.   

Abstract

PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal dose and improve treatment outcome. However, plan quality and planning time are institute and planner dependent, and no standardized tool exists to recognize an optimal plan. RapidPlan, a knowledge-based algorithm, can generate constraints to assist optimization and produce high-quality IMRT plans. This report evaluated the quality and efficiency of using RapidPlan in nasopharyngeal carcinoma (NPC) IMRT planning. METHODS AND MATERIALS: RapidPlan was configured using 79 radical IMRT plans for NPC; 20 consecutive NPC patients indicated for radical radiation therapy between October 2014 and May 2015 were then recruited to assess its performance. The ability of RapidPlan to produce acceptable plans was evaluated. For plans that could not achieve clinical acceptance, manual touch-up was performed. The IMRT plans produced without RapidPlan (manual plans) and with RapidPlan (RP-2 plans, including those with manual touch-up) were compared in terms of dosimetric quality and planning efficiency.
RESULTS: RapidPlan by itself could produce clinically acceptable plans for 9 of the 20 patients; manual touch-up increased the number of acceptable plans (RP-2 plans) to 19. The target dose coverage and conformity were very similar. No difference was found in the maximum dose to the brainstem and optic chiasm. RP-2 plans delivered a higher maximum dose to the spinal cord (46.4 Gy vs 43.9 Gy, P=.002) but a lower dose to the parotid (mean dose to right parotid, 37.3 Gy vs 45.4 Gy; left, 34.4 Gy vs 43.1 Gy; P<.001) and the right cochlea (mean dose, 48.6 Gy vs 52.6 Gy; P=.02). The total planning time for RP-2 plans was significantly less than that for manual plans (64 minutes vs 295 minutes, P<.001).
CONCLUSIONS: This study shows that RapidPlan can significantly improve planning efficiency and produce quality IMRT plans for NPC patients.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27302513     DOI: 10.1016/j.ijrobp.2016.02.017

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  48 in total

1.  Knowledge-Based Tradeoff Hyperplanes for Head and Neck Treatment Planning.

Authors:  Jiahan Zhang; Yaorong Ge; Yang Sheng; Chunhao Wang; Jiang Zhang; Yuan Wu; Qiuwen Wu; Fang-Fang Yin; Q Jackie Wu
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-24       Impact factor: 7.038

2.  Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy.

Authors:  Gyanendra Bohara; Azar Sadeghnejad Barkousaraie; Steve Jiang; Dan Nguyen
Journal:  Med Phys       Date:  2020-08-02       Impact factor: 4.071

3.  Future of Radiotherapy in Nasopharyngeal Carcinoma.

Authors:  Xue-Song Sun; Xiao-Yun Li; Qiu-Yan Chen; Lin-Quan Tang; Hai-Qiang Mai
Journal:  Br J Radiol       Date:  2019-07-09       Impact factor: 3.039

4.  A comparison of in-house and shared RapidPlan models for prostate radiation therapy planning.

Authors:  E Claridge Mackonis; J Sykes; N Hardcastle; A Espinoza; A Brown; G Perez; B Evans; H Sheehan; A Haworth
Journal:  Phys Eng Sci Med       Date:  2022-09-05

5.  Improving Quality and Consistency in NRG Oncology Radiation Therapy Oncology Group 0631 for Spine Radiosurgery via Knowledge-Based Planning.

Authors:  Kelly C Younge; Robin B Marsh; Dawn Owen; Huaizhi Geng; Ying Xiao; Daniel E Spratt; Joseph Foy; Krithika Suresh; Q Jackie Wu; Fang-Fang Yin; Samuel Ryu; Martha M Matuszak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-01-04       Impact factor: 7.038

6.  Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy.

Authors:  Benjamin S Rosen; Peter G Hawkins; Daniel F Polan; James M Balter; Kristy K Brock; Justin D Kamp; Christina M Lockhart; Avraham Eisbruch; Michelle L Mierzwa; Randall K Ten Haken; Issam El Naqa
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-07-10       Impact factor: 7.038

7.  Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy.

Authors:  Nilesh S Tambe; Isabel M Pires; Craig Moore; Christopher Cawthorne; Andrew W Beavis
Journal:  Br J Radiol       Date:  2020-01-06       Impact factor: 3.039

8.  Characterization of knowledge-based volumetric modulated arc therapy plans created by three different institutions' models for prostate cancer.

Authors:  Yoshihiro Ueda; Hajime Monzen; Jun-Ichi Fukunaga; Shingo Ohira; Mikoto Tamura; Osamu Suzuki; Shoki Inui; Masaru Isono; Masayoshi Miyazaki; Iori Sumida; Kazuhiko Ogawa; Teruki Teshima
Journal:  Rep Pract Oncol Radiother       Date:  2020-08-25

9.  Radiotherapy-induced dysphagia and its impact on quality of life in patients with nasopharyngeal carcinoma.

Authors:  Honghong Li; Liting Li; Xiaolong Huang; Yi Li; Tangjie Zou; Xiaohuang Zhuo; Yan Chen; Yimin Liu; Yamei Tang
Journal:  Strahlenther Onkol       Date:  2019-01-28       Impact factor: 3.621

10.  Clinical Implementation of Automated Treatment Planning for Rectum Intensity-Modulated Radiotherapy Using Voxel-Based Dose Prediction and Post-Optimization Strategies.

Authors:  Yang Zhong; Lei Yu; Jun Zhao; Yingtao Fang; Yanju Yang; Zhiqiang Wu; Jiazhou Wang; Weigang Hu
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

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