Literature DB >> 21471676

[Motion analysis of target in stereotactic radiotherapy of lung tumors using 320-row multidetector CT].

Toshikazu Imae1, Akihiro Haga, Keiichi Nakagawa, Kenji Ino, Kenichirou Tanaka, Yukari Okano, Katsutake Sasaki, Shigeki Saegusa, Takashi Shiraki, Takashi Oritate, Keiichi Yano, Hiroyuki Shinohara.   

Abstract

Multi-detector computed tomography (MDCT) has rapidly evolved and is increasingly used for treatment simulation of thoracic and abdominal radiotherapy. A 320-detector row CT scanner has recently become available that allows axial volumetric scanning of a 16-cm-long range in a patient without table movement. Current radiotherapy techniques require a generous margin around the presumed gross tumor volume (GTV) to account for uncertainties such as tumor motion and set up error. Motion analysis is useful to evaluate the internal margin of a moving target due to respiration and to improve therapeutic precision. The purpose of this study is to propose a method using phase-only correlation to automatically detect the target and to assess the motion of the target in numerical phantoms and patients. Free-breathing scans using 320-detector row CT were acquired for 4 patients with lung tumor(s). The proposed method was feasible for motion analysis of all numerical phantoms and patients. The results reproduced the facts that the motion of tumors in the patients varied in orbits during the respiratory cycle and exhibited hysteresis. The maximum distance between peak exhalation and inhalation increased as the tumors approached the diaphragm. The proposed method detected the three-dimensional position of the targets automatically and analyzed the trajectories. The tumor motion due to respiration differed by region and was greatest for the lower lobe.

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Year:  2011        PMID: 21471676     DOI: 10.6009/jjrt.67.202

Source DB:  PubMed          Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi        ISSN: 0369-4305


  1 in total

1.  A prospective study of dual-energy computed tomography for differentiating metastatic and non-metastatic lymph nodes of colorectal cancer.

Authors:  Lin Qiu; Junjiao Hu; Zeping Weng; Sirun Liu; Guangyu Jiang; Xiangran Cai
Journal:  Quant Imaging Med Surg       Date:  2021-08
  1 in total

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