Literature DB >> 31515017

Multi-institutional evaluation of knowledge-based planning performance of volumetric modulated arc therapy (VMAT) for head and neck cancer.

Tatsuya Kamima1, Yoshihiro Ueda2, Jun-Ichi Fukunaga3, Yumiko Shimizu4, Mikoto Tamura5, Kazuki Ishikawa6, Hajime Monzen7.   

Abstract

PURPOSE: The aim of this study was to investigate whether additional manual objectives are necessary for the RapidPlan (RP) with a single optimization. We conducted multi-institutional comparisons of plan quality for head and neck cancer (HNC) using the models created at each institute.
METHODS: The ability of RP to produce acceptable plans for dose requirements was evaluated in two types of oropharynx cancers at five institutes in Japan. Volumetric modulated arc therapy plans created without (RP plan) and with additional manual objectives (M-RP plan) were compared in terms of planning target volume (PTV), brainstem, spinal cord and parotid glands in dosimetric parameters.
RESULTS: There were no major dosimetric PTV differences between RP and M-RP plans. For the brainstem and spinal cord in the RP plans, only 40% and 30% of the plans achieved the dose requirements, while the M-RP plans with upper objective added to volume 0% at all institutes achieved them for 90% of the plans. For the L-parotid gland, there was no difference in the RP and M-RP plans (both were 40%) in achieving the acceptable criteria. For the R-parotid gland, 60% and 80% of the RP and M-RP plans achieved the constraint criteria, and in terms of the achievement rate, the RP plans were relatively high.
CONCLUSIONS: M-RP plans did not require reoptimization; only an upper objective was needed for the brainstem and spinal cord, while the parotid gland dose was reduced in both RP plans with the auto generated line objectives alone.
Copyright © 2019 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Head and neck cancer; Knowledge-based planning; Optimization objective; RapidPlan

Mesh:

Year:  2019        PMID: 31515017     DOI: 10.1016/j.ejmp.2019.07.004

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  14 in total

1.  Dose-volume Histogram Analysis of Knowledge-based Volumetric-modulated Arc Therapy Planning in Postoperative Breast Cancer Irradiation.

Authors:  Eri Inoue; Hiroshi Doi; Hajime Monzen; Mikoto Tamura; Masahiro Inada; Kazuki Ishikawa; Kiyoshi Nakamatsu; Yasumasa Nishimura
Journal:  In Vivo       Date:  2020 May-Jun       Impact factor: 2.155

2.  Effects of Mechanical Performance on Deliverability and Dose Distribution by Comparing Multi Institutions' Knowledge-based Models for Prostate Cancer in Volumetric Modulated Arc Therapy.

Authors:  Haruhi Tsuru; Yoshihiro Ueda; Mikoto Tamura; Hajime Monzen; Shingo Ohira; Akira Masaoka; Shouki Inui; Koji Konishi; Junichi Fukunaga; Hirokazu Mizuno; Masayoshi Miyazaki; Masahiko Koizumi
Journal:  In Vivo       Date:  2022 Mar-Apr       Impact factor: 2.155

3.  Influence of Cleaned-up Commercial Knowledge-Based Treatment Planning on Volumetric-Modulated Arc Therapy of Prostate Cancer.

Authors:  Mikoto Tamura; Hajime Monzen; Kenji Matsumoto; Kazuki Kubo; Yoshihiro Ueda; Tatsuya Kamima; Masahiro Inada; Hiroshi Doi; Kiyoshi Nakamatsu; Yasumasa Nishimura
Journal:  J Med Phys       Date:  2020-07-20

4.  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

5.  Dose-volume histogram analysis and clinical evaluation of knowledge-based plans with manual objective constraints for pharyngeal cancer.

Authors:  Takuya Uehara; Hajime Monzen; Mikoto Tamura; Kazuki Ishikawa; Hiroshi Doi; Yasumasa Nishimura
Journal:  J Radiat Res       Date:  2020-05-22       Impact factor: 2.724

6.  Evaluation of a generalized knowledge-based planning performance for VMAT irradiation of breast and locoregional lymph nodes-Internal mammary and/or supraclavicular regions.

Authors:  Maria Rago; Lorenzo Placidi; Mattia Polsoni; Giulia Rambaldi; Davide Cusumano; Francesca Greco; Luca Indovina; Sebastiano Menna; Elisa Placidi; Gerardina Stimato; Stefania Teodoli; Gian Carlo Mattiucci; Silvia Chiesa; Fabio Marazzi; Valeria Masiello; Vincenzo Valentini; Marco De Spirito; Luigi Azario
Journal:  PLoS One       Date:  2021-01-15       Impact factor: 3.240

7.  Knowledge-based planning using pseudo-structures for volumetric modulated arc therapy (VMAT) of postoperative uterine cervical cancer: a multi-institutional study.

Authors:  Tatsuya Kamima; Yoshihiro Ueda; Jun-Ichi Fukunaga; Mikoto Tamura; Yumiko Shimizu; Yuta Muraki; Yasuo Yoshioka; Nozomi Kitamura; Yuya Nitta; Masakazu Otsuka; Hajime Monzen
Journal:  Rep Pract Oncol Radiother       Date:  2021-12-30

8.  Machine learning for dose-volume histogram based clinical decision-making support system in radiation therapy plans for brain tumors.

Authors:  Pawel Siciarz; Salem Alfaifi; Eric Van Uytven; Shrinivas Rathod; Rashmi Koul; Boyd McCurdy
Journal:  Clin Transl Radiat Oncol       Date:  2021-09-15

9.  Reducing variability among treatment machines using knowledge-based planning for head and neck, pancreatic, and rectal cancer.

Authors:  Hideaki Hirashima; Mitsuhiro Nakamura; Nobutaka Mukumoto; Ryo Ashida; Kota Fujii; Kiyonao Nakamura; Aya Nakajima; Katsuyuki Sakanaka; Michio Yoshimura; Takashi Mizowaki
Journal:  J Appl Clin Med Phys       Date:  2021-06-20       Impact factor: 2.102

10.  Dosimetric Evaluation of Simplified Knowledge-Based Plan with an Extensive Stepping Validation Approach in Volumetric-Modulated Arc Therapy-Stereotactic Body Radiotherapy for Lung Cancer.

Authors:  Yutaro Wada; Hajime Monzen; Mikoto Tamura; Masakazu Otsuka; Masahiro Inada; Kazuki Ishikawa; Hiroshi Doi; Kiyoshi Nakamatsu; Yasumasa Nishimura
Journal:  J Med Phys       Date:  2021-05-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.