Literature DB >> 15238406

A feasibility study on the prediction of tumour location in the lung from skin motion.

S Ahn1, B Yi, Y Suh, J Kim, S Lee, S Shin, S Shin, E Choi.   

Abstract

The system for predicting tumour location from skin motion induced by respiration was designed to reduce the effects of target movement. Fluoroscopic studies on 34 sites in the lungs and 14 sites in the diaphragm were performed so that the motions of skin markers and organs could be observed simultaneously. While patients were lying down in the simulator with radio-opaque markers on their skin, fluoroscopic images both in the anterior-posterior (AP) view and in the lateral view were sent to an analysing computer and recorded. The results that showed a strong correlation (0.77+/-0.12) between the patients' skin and tumour movement, especially for the sites located in the lower lung fields or in the diaphragm. With the prediction from skin motion, the uncertainties of the position of tumours due to respiratory movement could be reduced by up to 1.47 cm in the lower lung fields in the superior-inferior (SI) direction. This study revealed that it is possible to trace the exact location of tumours in the lungs by observing skin motion in most cases (up to 88%).

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Mesh:

Year:  2004        PMID: 15238406     DOI: 10.1259/bjr/64800801

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  16 in total

1.  Forecasting respiratory motion with accurate online support vector regression (SVRpred).

Authors:  Floris Ernst; Achim Schweikard
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

2.  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

Review 3.  Current status and future prospects of multi-dimensional image-guided particle therapy.

Authors:  Shinichiro Mori; Silvan Zenklusen; Antje-Christin Knopf
Journal:  Radiol Phys Technol       Date:  2013-02-19

4.  Effects of audio coaching and visual feedback on the stability of respiration during radiotherapy.

Authors:  Fumiya Baba; Satoshi Tanaka; Yoshinori Nonogaki; Shinji Hasegawa; Minami Nishihashi; Shiho Ayakawa; Maho Yamada; Yuta Shibamoto
Journal:  Jpn J Radiol       Date:  2016-06-17       Impact factor: 2.374

5.  Potential underestimation of the internal target volume (ITV) from free-breathing CBCT.

Authors:  Irina Vergalasova; Jacqueline Maurer; Fang-Fang Yin
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

6.  Reproducibility of four-dimensional computed tomography-based lung ventilation imaging.

Authors:  Tokihiro Yamamoto; Sven Kabus; Jens von Berg; Cristian Lorenz; Melody P Chung; Julian C Hong; Billy W Loo; Paul J Keall
Journal:  Acad Radiol       Date:  2012-09-10       Impact factor: 3.173

7.  Correlation between external and internal respiratory motion: a validation study.

Authors:  Floris Ernst; Ralf Bruder; Alexander Schlaefer; Achim Schweikard
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-08-19       Impact factor: 2.924

8.  Lung tumor tracking in fluoroscopic video based on optical flow.

Authors:  Qianyi Xu; Russell J Hamilton; Robert A Schowengerdt; Brian Alexander; Steve B Jiang
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

9.  A new scheme for real-time high-contrast imaging in lung cancer radiotherapy: a proof-of-concept study.

Authors:  Hao Yan; Zhen Tian; Yiping Shao; Steve B Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2016-03-04       Impact factor: 3.609

10.  Extracting respiratory signals from thoracic cone beam CT projections.

Authors:  Hao Yan; Xiaoyu Wang; Wotao Yin; Tinsu Pan; Moiz Ahmad; Xuanqin Mou; Laura Cerviño; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-02-11       Impact factor: 3.609

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