Literature DB >> 16118151

Small lung tumors: long-scan-time CT for planning of hypofractionated stereotactic radiation therapy--initial findings.

Atsuya Takeda1, Etsuo Kunieda, Naoyuki Shigematsu, Deloar M Hossain, Takatsugu Kawase, Toshio Ohashi, Jun-ichi Fukada, Osamu Kawaguchi, Minoru Uematsu, Toshiaki Takeda, Kazuhiko Takemasa, Takeshige Takahashi, Atsushi Kubo.   

Abstract

PURPOSE: To prospectively use long-scan-time computed tomography (CT) to visualize the trajectory of tumor movements or the internal target volume.
MATERIALS AND METHODS: The study was approved by the institutional review board. Written informed consent was obtained from participants after the study and the role of procedures were explained fully. During the planning of stereotactic radiation therapy for 10 patients (nine men, one woman; mean age, 77 years; range, 69-89 years) with small lung tumors (mean volume, 9.0 cm3; range, 3.6-24.9 cm3), fluoroscopic imaging, long-scan-time CT, and thin-section CT were performed. The tumor and the partial-volume-averaging effects that resulted from tumor movement were delineated on each section at long-scan-time CT performed during the patient's steady breathing with scan time of 8 seconds per image. Visualized internal target volume was defined by integrating the sections. A simple model was examined for estimating internal target volume on the basis of respiratory motion and gross target volume delineated on thin-section CT images. Visualized internal target volume and estimated internal target volume were compared quantitatively and graphically. The Mann-Whitney test was used to analyze the relation between gross target volume delineated on thin-section CT images and the ratio of visualized internal target volume to the defined gross target volume.
RESULTS: The correlation coefficient between visualized internal target volume and estimated internal target volume was r = 0.98 (P < .001). The mean relative error +/- standard deviation was 1.9% +/- 19.0 (range, -11.0% to 56.4%). Excluding one case with an irregularly shaped tumor (56.4%), the mean relative error was -4.1% +/- 4.1. In patients with small tumors (defined gross target volume, < or = 10 cm3), the ratio of the visualized internal target volume to the defined gross tumor volume was significantly larger than that in patients with larger tumors (1.2-2.0 vs 1.0-1.2; P < .05). In some cases in which marginal spiculation depicted on thin-section CT images was blurred on long-scan-time CT images, the blurred area was erroneously excluded from the target volume.
CONCLUSION: In most cases, values for visualized internal target volume and estimated internal target volume were similar and long-scan-time CT depicted virtually the entire tumor trajectory. RSNA, 2005

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Year:  2005        PMID: 16118151     DOI: 10.1148/radiol.2371032102

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  10 in total

1.  CT evaluations of focal liver reactions following stereotactic body radiotherapy for small hepatocellular carcinoma with cirrhosis: relationship between imaging appearance and baseline liver function.

Authors:  N Sanuki-Fujimoto; A Takeda; T Ohashi; E Kunieda; S Iwabuchi; K Takatsuka; N Koike; N Shigematsu
Journal:  Br J Radiol       Date:  2010-12       Impact factor: 3.039

2.  Comparison of clinical, tumour-related and dosimetric factors in grade 0-1, grade 2 and grade 3 radiation pneumonitis after stereotactic body radiotherapy for lung tumours.

Authors:  A Takeda; T Ohashi; E Kunieda; N Sanuki; T Enomoto; T Takeda; Y Oku; N Shigematsu
Journal:  Br J Radiol       Date:  2012-01-17       Impact factor: 3.039

3.  Respiratory biofeedback during CT-guided procedures.

Authors:  Julia K Locklin; Jeff Yanof; Alfred Luk; Zoltan Varro; Alexandru Patriciu; Bradford J Wood
Journal:  J Vasc Interv Radiol       Date:  2007-06       Impact factor: 3.464

4.  Evaluation of heterogeneity dose distributions for Stereotactic Radiotherapy (SRT): comparison of commercially available Monte Carlo dose calculation with other algorithms.

Authors:  Wataru Takahashi; Hideomi Yamashita; Naoya Saotome; Yoshio Iwai; Akira Sakumi; Akihiro Haga; Keiichi Nakagawa
Journal:  Radiat Oncol       Date:  2012-02-09       Impact factor: 3.481

5.  Stereotactic body radiotherapy for small lung tumors in the University of Tokyo Hospital.

Authors:  Hideomi Yamashita; Wataru Takahashi; Akihiro Haga; Satoshi Kida; Naoya Saotome; Keiichi Nakagawa
Journal:  Biomed Res Int       Date:  2014-07-07       Impact factor: 3.411

6.  Stereotactic body radiotherapy for chronic obstructive pulmonary disease patients undergoing or eligible for long-term domiciliary oxygen therapy.

Authors:  Yu Hara; Atsuya Takeda; Takahisa Eriguchi; Naoko Sanuki; Yousuke Aoki; Shuichi Nishimura; Tatsuji Enomoto; Masaharu Shinkai; Akihiko Kawana; Takeshi Kaneko
Journal:  J Radiat Res       Date:  2015-10-20       Impact factor: 2.724

7.  Comparison of gross tumor volume of primary oesophageal cancer based on contrast-enhanced three-dimensional, four-dimensional, and cone beam computed tomography.

Authors:  Chao-Yue Hu; Jian-Bin Li; Jin-Zhi Wang; Wei Wang; Feng-Xiang Li; Yan-Luan Guo
Journal:  Oncotarget       Date:  2017-10-05

8.  Prognostic factors for local control of stage I non-small cell lung cancer in stereotactic radiotherapy: a retrospective analysis.

Authors:  Yuko Shirata; Keiichi Jingu; Masashi Koto; Masaki Kubozono; Ken Takeda; Toshiyuki Sugawara; Noriyuki Kadoya; Haruo Matsushita
Journal:  Radiat Oncol       Date:  2012-10-31       Impact factor: 3.481

9.  High-dose stereotactic body radiotherapy correlates increased local control and overall survival in patients with inoperable hepatocellular carcinoma.

Authors:  Won Il Jang; Mi-Sook Kim; Sun Hyun Bae; Chul Koo Cho; Hyung Jun Yoo; Young Seok Seo; Jin-Kyu Kang; So Young Kim; Dong Han Lee; Chul Ju Han; Jin Kim; Su Cheol Park; Sang Bum Kim; Eung-Ho Cho; Young Han Kim
Journal:  Radiat Oncol       Date:  2013-10-27       Impact factor: 3.481

Review 10.  The impact of technology on the changing practice of lung SBRT.

Authors:  Marianne Camille Aznar; Samantha Warren; Mischa Hoogeman; Mirjana Josipovic
Journal:  Phys Med       Date:  2018-01-10       Impact factor: 2.685

  10 in total

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