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Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization.

Publication ,  Journal Article
Zhang, Y; Ren, L; Vergalasova, I; Yin, F-F
Published in: Technol Cancer Res Treat
December 2017

BACKGROUND AND PURPOSE: Compared to cone-beam computed tomography, digital tomosynthesis imaging has the benefits of shorter scanning time, less imaging dose, and better mechanical clearance for tumor localization in radiation therapy. However, for lung tumors, the localization accuracy of the conventional digital tomosynthesis technique is affected by the lack of depth information and the existence of lung tumor motion. This study investigates the clinical feasibility of using an orthogonal-view phase-matched digital tomosynthesis technique to improve the accuracy of lung tumor localization. MATERIALS AND METHODS: The proposed orthogonal-view phase-matched digital tomosynthesis technique benefits from 2 major features: (1) it acquires orthogonal-view projections to improve the depth information in reconstructed digital tomosynthesis images and (2) it applies respiratory phase-matching to incorporate patient motion information into the synthesized reference digital tomosynthesis sets, which helps to improve the localization accuracy of moving lung tumors. A retrospective study enrolling 14 patients was performed to evaluate the accuracy of the orthogonal-view phase-matched digital tomosynthesis technique. Phantom studies were also performed using an anthropomorphic phantom to investigate the feasibility of using intratreatment aggregated kV and beams' eye view cine MV projections for orthogonal-view phase-matched digital tomosynthesis imaging. The localization accuracy of the orthogonal-view phase-matched digital tomosynthesis technique was compared to that of the single-view digital tomosynthesis techniques and the digital tomosynthesis techniques without phase-matching. RESULTS: The orthogonal-view phase-matched digital tomosynthesis technique outperforms the other digital tomosynthesis techniques in tumor localization accuracy for both the patient study and the phantom study. For the patient study, the orthogonal-view phase-matched digital tomosynthesis technique localizes the tumor to an average (± standard deviation) error of 1.8 (0.7) mm for a 30° total scan angle. For the phantom study using aggregated kV-MV projections, the orthogonal-view phase-matched digital tomosynthesis localizes the tumor to an average error within 1 mm for varying magnitudes of scan angles. CONCLUSION: The pilot clinical study shows that the orthogonal-view phase-matched digital tomosynthesis technique enables fast and accurate localization of moving lung tumors.

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Published In

Technol Cancer Res Treat

DOI

EISSN

1533-0338

Publication Date

December 2017

Volume

16

Issue

6

Start / End Page

866 / 878

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
 

Citation

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Chicago
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MLA
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Zhang, Y., Ren, L., Vergalasova, I., & Yin, F.-F. (2017). Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization. Technol Cancer Res Treat, 16(6), 866–878. https://doi.org/10.1177/1533034617705716
Zhang, You, Lei Ren, Irina Vergalasova, and Fang-Fang Yin. “Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization.Technol Cancer Res Treat 16, no. 6 (December 2017): 866–78. https://doi.org/10.1177/1533034617705716.
Zhang Y, Ren L, Vergalasova I, Yin F-F. Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization. Technol Cancer Res Treat. 2017 Dec;16(6):866–78.
Zhang, You, et al. “Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization.Technol Cancer Res Treat, vol. 16, no. 6, Dec. 2017, pp. 866–78. Pubmed, doi:10.1177/1533034617705716.
Zhang Y, Ren L, Vergalasova I, Yin F-F. Clinical Study of Orthogonal-View Phase-Matched Digital Tomosynthesis for Lung Tumor Localization. Technol Cancer Res Treat. 2017 Dec;16(6):866–878.
Journal cover image

Published In

Technol Cancer Res Treat

DOI

EISSN

1533-0338

Publication Date

December 2017

Volume

16

Issue

6

Start / End Page

866 / 878

Location

United States

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis