August 2019
Volume 60, Issue 11
Free
ARVO Imaging in the Eye Conference Abstract  |   August 2019
Imaging of vascular involvement in intraocular tumor using OCT and OCT angiography
Author Affiliations & Notes
  • Xiao Zhou
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Hao Zhou
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Zhongdi Chu
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Yuxuan Cheng
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Qinqin Zhang
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Ruikang Wang
    Bioengineering, University of Washington, Seattle, Washington, United States
  • Footnotes
    Commercial Relationships   Xiao Zhou, None; Hao Zhou, None; Zhongdi Chu, None; Yuxuan Cheng, None; Qinqin Zhang, None; Ruikang Wang, Carl Zeiss Meditec (C), Carl Zeiss Meditec (P), Carl Zeiss Meditec (F), Carl Zeiss Meditec (R), Insight Photonic Solutions (C)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science August 2019, Vol.60, PB071. doi:https://doi.org/
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    • Get Citation

      Xiao Zhou, Hao Zhou, Zhongdi Chu, Yuxuan Cheng, Qinqin Zhang, Ruikang Wang; Imaging of vascular involvement in intraocular tumor using OCT and OCT angiography. Invest. Ophthalmol. Vis. Sci. 2019;60(11):PB071. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To investigate the feasibility of using OCT and OCT angiography (OCTA) to image the vascular involvement in ocular choroidal tumors.

Methods : Enrolled subjects were imaged using swept source OCTA (PLEX® Elite 9000 (ZEISS, Dublin, CA)) . Each subject underwent OCT imaging equipped with OCTA scanning protocol. 6x6 mm and 12x12 mm scanning patterns were utilized. OCT signal attenuation was corrected to enhance image contrast of 3D SS-OCT structural dataset, upon which an automatic segmentation software was applied to generate vascular information. Choroidal slab was automatically segmented from Bruch’s membrane to the choroidal-scleral interface using a graph search method. Minimum en face projection was used to extract the choroidal blood vessels from OCT structural image. OCTA angiogram was also generated to enhance the visualization of blood vessels within tumor region. Manual splicing of the en face projections between structural OCT image and angiogram from OCTA in the tumor region was performed on each subject.

Results : 5 patients diagnosed with ocular tumor were enrolled in this study. The proposed method was useful to achieve the visualization of vascular information within tumor and its surrounding regions, from which feeding vessels to choroidal ocular tumor (Figure 1 A&B&C) may be identified. 12x12 mm scans were better to delineate vascular information surrounding the tumor than 6x6 mm, facilitating the identification of feeding vessels. However, 6x6 mm scans gave more detailed vascular information within tumor.

Conclusions : This preliminary study describes a method to visualize vascular involvement in choroidal tumor and to identify possible feeding vessels. Results indicate that the proposed method has the potential to provide quantification assessment of choroidal ocular tumor.

This abstract was presented at the 2019 ARVO Imaging in the Eye Conference, held in Vancouver, Canada, April 26-27, 2019.

 

Figure 1. Representative vascular images of choroidal layer acquired from one ocular tumor patient (12x12 mm scan protocol). (A) choroidal vascular image obtained from OCTA algorithm, B) choroidal vascular image obtained from structural OCT images, and C) the spliced image between OCTA image and the structural image to show vascular information within and surrounding the tumor.

Figure 1. Representative vascular images of choroidal layer acquired from one ocular tumor patient (12x12 mm scan protocol). (A) choroidal vascular image obtained from OCTA algorithm, B) choroidal vascular image obtained from structural OCT images, and C) the spliced image between OCTA image and the structural image to show vascular information within and surrounding the tumor.

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