Literature DB >> 22677039

A comparison of tumor motion characteristics between early stage and locally advanced stage lung cancers.

Z Henry Yu1, Steven H Lin, Peter Balter, Lifei Zhang, Lei Dong.   

Abstract

PURPOSE: With the increasing use of conformal radiation therapy methods for non-small cell lung cancer (NSCLC), it is necessary to accurately determine respiratory-induced tumor motion. The purpose of this study is to analyze and compare the motion characteristics of early and locally advanced stage NSCLC tumors in a large population and correlate tumor motion with position, volume, and diaphragm motion. METHODS AND MATERIALS: A total of 191 (94 early stage, 97 locally advanced) non-small cell lung tumors were analyzed for this study. Each patient received a four-dimensional CT scan prior to receiving radiation treatment. A soft-tissue-based rigid registration algorithm was used to track the tumor motion. Tumor volumes were determined based on the gross tumor volume delineated by physicians in the end of expiration phase. Tumor motion characteristics were correlated with their standardized tumor locations, lobe location, and clinical staging. Diaphragm motion was calculated by subtracting the diaphragm location between the expiration and the inspiration phases.
RESULTS: Median, max, and 95th percentile of tumor motion for early stage tumors were 5.9 mm, 31.0 mm, and 20.0 mm, which were 1.2 mm, 12 mm, and 7 mm more than those in locally advanced NSCLC, respectively. The range of motion at 95th percentile is more than 50% larger in early stage lung cancer group than in the locally advanced lung cancer group. Early stage tumors in the lower lobe showed the largest motion with a median motion of 9.2mm, while upper/mid-lobe tumors exhibited a median motion of 3.3mm. Tumor volumes were not correlated with motion.
CONCLUSION: The range of tumor motion differs depending on tumor location and staging of NSCLC. Early stage tumors are more mobile than locally advanced stage NSCLC. These factors should be considered for general motion management strategies when 4D simulation is not performed on individual basis.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22677039     DOI: 10.1016/j.radonc.2012.04.010

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  16 in total

1.  In vivo quantification of hypoxic and metabolic status of NSCLC tumors using [18F]HX4 and [18F]FDG-PET/CT imaging.

Authors:  Catharina M L Zegers; Wouter van Elmpt; Bart Reymen; Aniek J G Even; Esther G C Troost; Michel C Ollers; Frank J P Hoebers; Ruud M A Houben; Jonas Eriksson; Albert D Windhorst; Felix M Mottaghy; Dirk De Ruysscher; Philippe Lambin
Journal:  Clin Cancer Res       Date:  2014-10-14       Impact factor: 12.531

Review 2.  Neoadjuvant and adjuvant epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) therapy for lung cancer.

Authors:  Haoran Zhai; Wenzhao Zhong; Xuening Yang; Yi-Long Wu
Journal:  Transl Lung Cancer Res       Date:  2015-02

3.  Mitigation of the Interplay Effects of Combining 4D Robust With Layer Repainting Techniques in Proton-Based SBRT for Patients With Early-Stage Non-small Cell Lung Cancer.

Authors:  Long Wei; Haijiao Shang; Fu Jin; Yuenan Wang
Journal:  Front Oncol       Date:  2020-10-09       Impact factor: 6.244

4.  Dosimetric study of a respiratory gating technique based on four-dimensional computed tomography in non-small-cell lung cancer.

Authors:  Hui Lin; Heming Lu; Liuyang Shu; Huixian Huang; Huasheng Chen; Jiaxin Chen; Jinjian Cheng; Qiang Pang; Luxing Peng; Junzhao Gu; Zhiping Lu
Journal:  J Radiat Res       Date:  2014-01-21       Impact factor: 2.724

5.  A comparison of the different 3D CT scanning modes on the GTV delineation for the solitary pulmonary lesion.

Authors:  Dong-ping Shang; Cheng-xin Liu; Yong Yin
Journal:  Radiat Oncol       Date:  2014-11-12       Impact factor: 3.481

6.  Retrospective study of adjuvant icotinib in postoperative lung cancer patients harboring epidermal growth factor receptor mutations.

Authors:  Shuyang Yao; Xiuyi Zhi; Ruotian Wang; Kun Qian; Mu Hu; Yi Zhang
Journal:  Thorac Cancer       Date:  2016-06-13       Impact factor: 3.500

7.  Esophageal motion characteristics in thoracic esophageal cancer: Impact of clinical stage T4 versus stages T1-T3.

Authors:  Yuta Kobayashi; Miyako Myojin; Shinichi Shimizu; Masao Hosokawa
Journal:  Adv Radiat Oncol       Date:  2016-08-23

8.  Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction.

Authors:  Qian Du; Michael Baine; Kyle Bavitz; Josiah McAllister; Xiaoying Liang; Hongfeng Yu; Jeffrey Ryckman; Lina Yu; Hengle Jiang; Sumin Zhou; Chi Zhang; Dandan Zheng
Journal:  PLoS One       Date:  2019-05-07       Impact factor: 3.240

9.  A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation.

Authors:  Hui Lin; Wei Zou; Taoran Li; Steven J Feigenberg; Boon-Keng K Teo; Lei Dong
Journal:  Sci Rep       Date:  2019-10-16       Impact factor: 4.379

Review 10.  Magnitude, Impact, and Management of Respiration-induced Target Motion in Radiotherapy Treatment: A Comprehensive Review.

Authors:  S A Yoganathan; K J Maria Das; Arpita Agarwal; Shaleen Kumar
Journal:  J Med Phys       Date:  2017 Jul-Sep
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