Literature DB >> 18234440

Can all centers plan intensity-modulated radiotherapy (IMRT) effectively? An external audit of dosimetric comparisons between three-dimensional conformal radiotherapy and IMRT for adjuvant chemoradiation for gastric cancer.

Hans T Chung1, Brian Lee, Eileen Park, Jiade J Lu, Ping Xia.   

Abstract

PURPOSE: To compare dosimetric endpoints between three-dimensional conformal radiotherapy (3D-CRT) and intensity-modulated radiotherapy (IMRT) at our center with limited IMRT experience, and to perform an external audit of the IMRT plans. METHODS AND MATERIALS: Ten patients, who received adjuvant chemoradiation for gastric cancer, formed the study cohort. For standardization, the planning target volume (PTV) and organs at risk were recontoured with the assistance of a study protocol radiologic atlas. The cohort was replanned with CMS Xio to generate coplanar 3D-CRT and IMRT plans. All 10 datasets, including volumes but without the plans (i.e., blinded), were transmitted to an experienced center where IMRT plans were designed using Nomos Corvus (IMRT-C) and ADAC Pinnacle (IMRT-P). All IMRT plans were normalized to D95% receiving 45 Gy.
RESULTS: Intensity-modulated radiotherapy yielded higher PTV V45 (volume that receives > or = 45 Gy) (p < 0.001) than 3D-CRT. No difference in V20 was seen in the right (p = 0.9) and left (p = 0.3) kidneys, but the liver mean dose (p < 0.001) was superior with IMRT. For the external audit, IMRT-C (p = 0.002) and IMRT-P (p < 0.001) achieved significantly lower left kidney V20 than IMRT, and IMRT-P (p < 0.001) achieved lower right kidney V20 than IMRT. The IMRT-C (p = 0.003) but not IMRT-P (p = 0.6) had lower liver mean doses than IMRT.
CONCLUSIONS: At our institution with early IMRT experience, IMRT improved PTV dose coverage and liver doses but not kidney doses. An external audit of IMRT plans showed that an experienced center can yield superior IMRT plans.

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Year:  2008        PMID: 18234440     DOI: 10.1016/j.ijrobp.2007.11.040

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


  26 in total

1.  Combined perioperative EOX chemotherapy and postoperative chemoradiotherapy for locally advanced gastric cancer.

Authors:  Qiushan He; Juan Zhao; Jia Yuan; Zhimin Gong; Tienan Yi
Journal:  Mol Clin Oncol       Date:  2017-06-23

2.  [Constraint priority list-based multi-objective optimization for intensity-modulated radiation therapy].

Authors:  Yan-Hua Mai; Fan-Tu Kong; Yi-Wei Yang; Yong-Bao Li; Ting Song; Ling-Hong Zhou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-06-20

3.  A novel approach to SBRT patient quality assurance using EPID-based real-time transit dosimetry : A step to QA with in vivo EPID dosimetry.

Authors:  Christos Moustakis; Fatemeh Ebrahimi Tazehmahalleh; Khaled Elsayad; Francis Fezeu; Sergiu Scobioala
Journal:  Strahlenther Onkol       Date:  2020-01-10       Impact factor: 3.621

4.  Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Authors:  Jun Lian; Lulin Yuan; Yaorong Ge; Bhishamjit S Chera; David P Yoo; Sha Chang; FangFang Yin; Q Jackie Wu
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

5.  Automated volumetric modulated Arc therapy treatment planning for stage III lung cancer: how does it compare with intensity-modulated radio therapy?

Authors:  Enzhuo M Quan; Joe Y Chang; Zhongxing Liao; Tingyi Xia; Zhiyong Yuan; Hui Liu; Xiaoqiang Li; Cody A Wages; Radhe Mohan; Xiaodong Zhang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-09-01       Impact factor: 7.038

Review 6.  Adjuvant treatment for gastric cancer: chemotherapy versus radiation.

Authors:  Noman Ashraf; Sarah Hoffe; Richard Kim
Journal:  Oncologist       Date:  2013-08-21

7.  [Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning].

Authors:  Fan-Tu Kong; Yan-Hua Mai; Meng-Ke Qi; Ai-Qian Wu; Fu-Tong Guo; Qi-Yuan Jia; Yong-Bao Li; Ting Song; Ling-Hong Zhou
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-06-20

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.  A multi-national report on methods for institutional credentialing for spine radiosurgery.

Authors:  Peter C Gerszten; Arjun Sahgal; Jason P Sheehan; Ronald Kersh; Stephanie Chen; John C Flickinger; Mubina Quader; Daniel Fahim; Inga Grills; John H Shin; Brian Winey; Kevin Oh; Reinhart A Sweeney; Matthias Guckenberger
Journal:  Radiat Oncol       Date:  2013-06-27       Impact factor: 3.481

10.  Multicriteria optimization enables less experienced planners to efficiently produce high quality treatment plans in head and neck cancer radiotherapy.

Authors:  Roel G J Kierkels; Ruurd Visser; Hendrik P Bijl; Johannes A Langendijk; Aart A van 't Veld; Roel J H M Steenbakkers; Erik W Korevaar
Journal:  Radiat Oncol       Date:  2015-04-12       Impact factor: 3.481

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