Literature DB >> 17453372

Nasopharyngeal carcinoma. Treatment planning with IMRT and 3D conformal radiotherapy.

Claus A Kristensen1, Flemming Kjaer-Kristoffersen, Wendy Sapru, Anne K Berthelsen, Annika Loft, Lena Specht.   

Abstract

The study was undertaken in order to compare dose plans for intensity-modulated radiotherapy (IMRT) with 3D conformal radiotherapy (3D-CRT) dose plans in patients with nasopharyngeal carcinoma (NPC). Clinical data from 20 consecutive patients treated with IMRT are presented. For 11 patients 3D-CRT plans were made and compared to the IMRT plans with respect to doses to the planning target volumes (PTVs) and to organs at risk (OARs). For comparison of the conformation of dose to defined target volumes the conformity index (CI) was used. Target volume coverage and critical organ protection were significantly improved with IMRT compared to 3D-CRT. One-year loco-regional control, distant metastasis-free survival, and overall survival were 79%, 72%, and 80%. Two patients have had recurrence in the clinical target volume (CTV) only and seven patients have relapsed in distant organs and/or in head-and-neck areas outside the target areas. The study confirms that IMRT is superior to 3D-CRT in the treatment of NPC. As locoregional control of NPC improves we are facing an increasing number of recurrences outside the irradiated area.

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Year:  2007        PMID: 17453372     DOI: 10.1080/02841860600635862

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  16 in total

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2.  Identification of heat shock protein 27 as a radioresistance-related protein in nasopharyngeal carcinoma cells.

Authors:  Bin Zhang; Jia-Quan Qu; Liang Xiao; Hong Yi; Peng-Fei Zhang; Mao-Yu Li; Rong Hu; Xun-Xun Wan; Qiu-Yan He; Jian-Huang Li; Xu Ye; Zhi-Qiang Xiao; Xue-Ping Feng
Journal:  J Cancer Res Clin Oncol       Date:  2012-07-31       Impact factor: 4.553

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

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4.  Identification of common gene networks responsive to radiotherapy in human cancer cells.

Authors:  D-L Hou; L Chen; B Liu; L-N Song; T Fang
Journal:  Cancer Gene Ther       Date:  2014-11-21       Impact factor: 5.987

5.  Nasopharyngeal carcinoma: our experience.

Authors:  Carla d'Espiney Amaro; Pedro Montalvão; Pedro Henriques; Miguel Magalhães; João Olias
Journal:  Eur Arch Otorhinolaryngol       Date:  2008-10-02       Impact factor: 2.503

6.  Advantages of intensity modulated radiotherapy in recurrent T1-2 nasopharyngeal carcinoma: a retrospective study.

Authors:  Sufang Qiu; Jun Lu; Wei Zheng; Luying Xu; Shaojun Lin; Chaobin Huang; Yuanji Xu; Lingling Huang; Jianji Pan
Journal:  BMC Cancer       Date:  2014-11-03       Impact factor: 4.430

7.  MiR-23a sensitizes nasopharyngeal carcinoma to irradiation by targeting IL-8/Stat3 pathway.

Authors:  Jia-Quan Qu; Hong-Mei Yi; Xu Ye; Li-Na Li; Jin-Feng Zhu; Ta Xiao; Li Yuan; Jiao-Yang Li; Yuan-Yuan Wang; Juan Feng; Qiu-Yan He; Shan-Shan Lu; Hong Yi; Zhi-Qiang Xiao
Journal:  Oncotarget       Date:  2015-09-29

8.  Phase I/II study of induction chemotherapy plus concurrent chemotherapy and SMART-IMRT-based radiotherapy in locoregionally-advanced nasopharyngeal cancer.

Authors:  Ting-Yong Fan; Jun Xing; Jie Lu; Tong-Hai Liu; Min Xu; Ying-Jie Zhang; Qian Shao; Jian-Bin Li; Jin-Ming Yu
Journal:  Oncol Lett       Date:  2013-01-15       Impact factor: 2.967

9.  Intensity modulated radiotherapy (IMRT) combined with concurrent but not adjuvant chemotherapy in primary nasopharyngeal cancer - a retrospective single center analysis.

Authors:  Ladan Saleh-Ebrahimi; Felix Zwicker; Marc W Muenter; Marc Bischof; Katja Lindel; Juergen Debus; Peter E Huber; Falk Roeder
Journal:  Radiat Oncol       Date:  2013-01-24       Impact factor: 3.481

10.  Integrated analysis of differential miRNA and mRNA expression profiles in human radioresistant and radiosensitive nasopharyngeal carcinoma cells.

Authors:  Xin-Hui Li; Jia-Quan Qu; Hong Yi; Peng-Fei Zhang; Hong-Mei Yi; Xun-Xun Wan; Qiu-Yan He; Xu Ye; Li Yuan; Jing-Feng Zhu; Jiao-Yang Li; Zhi-Qiang Xiao
Journal:  PLoS One       Date:  2014-01-31       Impact factor: 3.240

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