Investigative Ophthalmology & Visual Science Cover Image for Volume 57, Issue 12
September 2016
Volume 57, Issue 12
Open Access
ARVO Annual Meeting Abstract  |   September 2016
In vivo photoacoustic imaging to detect the growth of mouse conjunctival melanoma
Author Affiliations & Notes
  • Shireen Khattak
    Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
  • Layla Pires
    Universidade de Saõ Paulo-Saõ Carlos, Saõ Paulo, Brazil
  • Neeru Gupta
    Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
    Ophthalmology & Vision Sciences, Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
  • Xun Zhou
    Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
  • Joseph Hanna
    Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
  • Brian Wilson
    Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
  • Yeni H Yucel
    Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada
    Ophthalmology & Vision Sciences, Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
  • Footnotes
    Commercial Relationships   Shireen Khattak, None; Layla Pires, None; Neeru Gupta, None; Xun Zhou, None; Joseph Hanna, None; Brian Wilson, None; Yeni Yucel, None
  • Footnotes
    Support  Canadian Institutes of Health Research, Canada Foundation for Innovation, Henry Farrugia Fund, Universidade de Saõ Paulo-University of Toronto Collaboration Fund
Investigative Ophthalmology & Visual Science September 2016, Vol.57, No Pagination Specified. doi:
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      Shireen Khattak, Layla Pires, Neeru Gupta, Xun Zhou, Joseph Hanna, Brian Wilson, Yeni H Yucel; In vivo photoacoustic imaging to detect the growth of mouse conjunctival melanoma. Invest. Ophthalmol. Vis. Sci. 2016;57(12):No Pagination Specified.

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

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Abstract

Purpose : To image and monitor the growth of conjunctival melanoma using intrinsic photoacoustic tomography (PAT).

Methods : A mouse model of conjunctival melanoma was created by subconjunctival injection of B16F10 melanotic cells (5 μl; 1.4 x 103 cells/μl) into the right eye in B6 albino mice (n=4) under general anesthesia. Mice were scanned at days 5, 7 (n=4), 9 (n=4), 10 (n=1), 13 (n=3), 15 (n=1) and 18 (n=1) after injection using PAT (MSOT inVision 128, iThera Medical). Cross-sectional images through the head, with spatial resolution of 150μm, were captured in 0.5 mm steps with 10 averages per scan at wavelengths (680, 700, 715, 730, 760, 800, 850 and 900nm) spanning the near-infrared absorption spectra of Hb, HbO2 and melanin. A model linear algorithm was used to reconstruct images. Spectral unmixing was performed using linear regression of ViewMSOT software with the known absorption spectra for melanin, Hb and HbO2 as input. Following sacrifice on days 10 (n=1), 13 (n=2) and 18 (n=1), whole-head specimens were fixed and frozen-sectioned.

Results : PAT detected a strong melanin signal in the temporal quadrant of the right anterior orbit of all tumor-bearing mice (n=4) as seen in Fig. 1A. A progressive increase in the size and intensity of the melanin signal was observed here on days 7 (n=4), 9 (n=4), 10 (n=1), 13 (n=3), 15 (n=1) and 18 (n=1), (Fig. 1B). Melanin absorption dominated the photoacoustic signal in the tumor, while Hb and HbO2 signals were visible in other cranial structures. Melanin signal was consistently absent in other cranial structures (Figs. 1A-B). Whole-head frozen sections, as seen in Fig. 1C, confirmed in vivo photoacoustic results.

Conclusions : Conjunctival melanoma was detected in vivo by PAT with high resolution and without exogenous contrast agent. Tumor growth was consistent with the observed broadening and intensification of photoacoustic signature of melanin. To our knowledge this is the first report of in vivo PAT of ocular melanoma. Further studies to quantify the photoacoustic signals are in progress to assess its utility to monitor ocular tumor growth and response to treatments.

This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.

 

Figure 1. Photoacoustic images of mouse head on day 5 (A) and before sacrifice at day 10 (B). The melanin signal is shown in green (white arrows), HbO2 in red and Hb in blue. Frozen section of mouse head shows the tumor in black (black arrow) (C): D=Dorsal, V=Ventral, R=Right, L=Left.

Figure 1. Photoacoustic images of mouse head on day 5 (A) and before sacrifice at day 10 (B). The melanin signal is shown in green (white arrows), HbO2 in red and Hb in blue. Frozen section of mouse head shows the tumor in black (black arrow) (C): D=Dorsal, V=Ventral, R=Right, L=Left.

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