Literature DB >> 18514778

Four-dimensional computed tomography-based interfractional reproducibility study of lung tumor intrafractional motion.

Darek Michalski1, Marc Sontag, Fang Li, Regiane S de Andrade, Irmute Uslene, Edward D Brandner, Dwight E Heron, Ning Yue, M Saiful Huq.   

Abstract

PURPOSE: To evaluate the interfractional reproducibility of respiration-induced lung tumors motion, defined by their centroids and the intrafractional target motion range. METHODS AND MATERIALS: Twentythree pairs of four-dimensional/computed tomography scans were acquired for 22 patients. Gross tumor volumes were contoured, Clinical target volumes (CTVs) were generated. Geometric data for CTVs and lung volumes were extracted. The motion tracks of CTV centroids, and CTV edges along the cranio-caudal, anterior-posterior, and lateral directions were evaluated. The Pearson correlation coefficient for motion tracks along the cranio-caudal direction was determined for the entire respiratory cycle and for five phases about the end of expiration.
RESULTS: The largest motion extent was along the cranio-caudal direction. The intrafractional motion extent for five CTVs was <0.5 cm, the largest motion range was 3.59 cm. Three CTVs with respiration-induced displacement >0.5 cm did not exhibit the similarity of motion, and for 16 CTVs with motion >0.5 cm the correlation coefficient was >0.8. The lung volumes in corresponding phases for cases that demonstrated CTVs motion similarity were reproducible. No correlation between tumor size and mobility was found.
CONCLUSION: Target motion reproducibility seems to be present in 87% of cases in our dataset. Three cases with dissimilar motion indicate that it is advisable to verify target motion during treatment. The adaptive adjustment to compensate the possible interfractional shifts in a target position should be incorporated as a routine policy for lung cancer radiotherapy.

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Year:  2008        PMID: 18514778     DOI: 10.1016/j.ijrobp.2007.10.038

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


  8 in total

1.  Motion management strategies and technical issues associated with stereotactic body radiotherapy of thoracic and upper abdominal tumors: A review from NRG oncology.

Authors:  Edward D Brandner; Indrin J Chetty; Tawfik G Giaddui; Ying Xiao; M Saiful Huq
Journal:  Med Phys       Date:  2017-04-20       Impact factor: 4.071

2.  Intra- and Inter-Fractional Variation Prediction of Lung Tumors Using Fuzzy Deep Learning.

Authors:  Seonyeong Park; Suk Jin Lee; Elisabeth Weiss; Yuichi Motai
Journal:  IEEE J Transl Eng Health Med       Date:  2016-01-08       Impact factor: 3.316

3.  Adaptive radiation for lung cancer.

Authors:  Daniel R Gomez; Joe Y Chang
Journal:  J Oncol       Date:  2010-08-04       Impact factor: 4.375

4.  Double CT imaging can measure the respiratory movement of small pulmonary tumors during stereotactic ablative radiotherapy.

Authors:  Ge Shen; Ying-Jie Wang; Hong-Guo Sheng; Xiao-Ping Duan; Jun-Liang Wang; Wei-Jing Zhang; Zhen-Shan Zhou; Guang-Ying Zhu; Ting-Yi Xia
Journal:  J Thorac Dis       Date:  2012-04-01       Impact factor: 2.895

5.  Respiratory motion variability of primary tumors and lymph nodes during radiotherapy of locally advanced non-small-cell lung cancers.

Authors:  Nuzhat Jan; Geoffrey D Hugo; Nitai Mukhopadhyay; Elisabeth Weiss
Journal:  Radiat Oncol       Date:  2015-06-14       Impact factor: 3.481

6.  Differences in the dose-volume metrics with heterogeneity correction status and its influence on local control in stereotactic body radiation therapy for lung cancer.

Authors:  Nami Ueki; Yukinori Matsuo; Keiko Shibuya; Mitsuhiro Nakamura; Masaru Narabayashi; Katsuyuki Sakanaka; Yoshiki Norihisa; Takashi Mizowaki; Masahiro Hiraoka
Journal:  J Radiat Res       Date:  2012-09-14       Impact factor: 2.724

7.  A serial 4DCT study to quantify range variations in charged particle radiotherapy of thoracic cancers.

Authors:  Shinichiro Mori; Lei Dong; George Starkschall; Radhe Mohan; George T Y Chen
Journal:  J Radiat Res       Date:  2013-10-18       Impact factor: 2.724

8.  Assessment of tumor motion reproducibility with audio-visual coaching through successive 4D CT sessions.

Authors:  Samuel Goossens; Frédéric Senny; John A Lee; Guillaume Janssens; Xavier Geets
Journal:  J Appl Clin Med Phys       Date:  2014-01-04       Impact factor: 2.102

  8 in total

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