Feasibility Study of Automated Framework for Estimating Lung Tumor Locations for Target-Based Patient Positioning in Stereotactic Body Radiotherapy.

Objective. To investigate the feasibility of an automated framework for estimating the lung tumor locations for tumor-based patient positioning with megavolt-cone-beam computed tomography (MV-CBCT) during stereotactic body radiotherapy (SBRT). Methods. A lung screening phantom and ten lung cancer ca...

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Publicado en:BioMed Research International Vol. 2015; pp. 1 - 10
Autores principales: Yoshidome, Satoshi, Arimura, Hidetaka, Nakamura, Katsumasa, Shioyama, Yoshiyuki, Atsumi, Kazushige, Nakamura, Yasuhiko, Yoshikawa, Hideki, Nishikawa, Kei, Hirata, Hideki
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 1/5/2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 1/5/2015
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      pub: Wiley-Blackwell
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        10.1155/2015/653974
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        atl: Feasibility Study of Automated Framework for Estimating Lung Tumor Locations for Target-Based Patient Positioning in Stereotactic Body Radiotherapy.
      aug:
        au:
          Yoshidome, Satoshi
          Arimura, Hidetaka
          Nakamura, Katsumasa
          Shioyama, Yoshiyuki
          Atsumi, Kazushige
          Nakamura, Yasuhiko
          Yoshikawa, Hideki
          Nishikawa, Kei
          Hirata, Hideki
        affil: Department of Clinical Radiology, Kyushu University Beppu Hospital, 4546 Tsurumibaru, Tsurumi, Beppu 874-0838, Japan
      sug:
        subj:
          Carcinoma, Non-Small-Cell Lung Therapy
          Radiosurgery
          Patient Positioning
          Human
          Funding Source
          Japan
          Academic Medical Centers
          Tomography Utilization
          Male
          Female
          Aged, 80 and Over
          Aged
          Descriptive Statistics
          T-Tests
          Aged, 80 & over
          Aged: 65+ years
          Male
          Female
      ab: Objective. To investigate the feasibility of an automated framework for estimating the lung tumor locations for tumor-based patient positioning with megavolt-cone-beam computed tomography (MV-CBCT) during stereotactic body radiotherapy (SBRT). Methods. A lung screening phantom and ten lung cancer cases with solid lung tumors, who were treated with SBRT, were employed to this study. The locations of tumors in MV-CBCT images were estimated using a tumor-template matching technique between a tumor template and the MV-CBCT. Tumor templates were produced by cropping the gross tumor volume (GTV) regions, which were enhanced by a Sobel filter or a blob structure enhancement (BSE) filter. Reference tumor locations (grand truth) were determined based on a consensus between a radiation oncologist and a medical physicist. Results. According to the results of the phantom study, the average Euclidean distances of the location errors in the original, Sobel-filtered, and BSE-filtered images were 2.0 ± 4.1 mm, 12.8 ± 9.4 mm, and 0.4 ± 0.5 mm, respectively. For clinical cases, these were 3.4 ± 7.1 mm, 7.2 ± 11.6 mm, and 1.6 ± 1.2 mm, respectively. Conclusion. The feasibility study suggests that our proposed framework based on the BSE filter may be a useful tool for tumor-based patient positioning in SBRT.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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