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Optical Coherence Tomography: Imaging Mouse Retinal Ganglion Cells In Vivo
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Granular Cell Tumor Imaging Using Optical Coherence Tomography.

David Tes1, Ahmed Aber2, Mohsin Zafar1

  • 1Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA.

Biomedical Engineering and Computational Biology
|August 18, 2018
PubMed
Summary
This summary is machine-generated.

Optical coherence tomography (OCT) effectively visualized a large abdominal granular cell tumor (GCT). This imaging technique, combined with optical attenuation analysis, can differentiate GCT from healthy skin, aiding surgical planning.

Keywords:
Optical coherence tomographyattenuation coefficientgranular cell tumorimage analysisimage processingtumor border detection

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Area of Science:

  • Biomedical Optics
  • Dermatology
  • Medical Imaging

Background:

  • Granular cell tumors (GCTs) are uncommon neoplasms that can occur on the skin, with a predilection for oral and head/neck regions.
  • This study focuses on a rare case of a large abdominal GCT.

Purpose of the Study:

  • To present optical coherence tomography (OCT) imaging findings of a large abdominal GCT.
  • To develop and present an analytical method for differentiating GCT from healthy skin tissue.

Main Methods:

  • Utilized multibeam, Fourier domain, swept source OCT with a central wavelength of 1305 nm.
  • Performed qualitative and quantitative analyses of the GCT lesion and surrounding healthy skin.
  • Employed optical attenuation coefficient analysis based on single-scattering formulation.

Main Results:

  • Observed distinct abrupt changes in the dermal and epidermal architectures within the GCT lesion.
  • Confirmed the absence of these architectural changes in healthy skin samples.
  • Successfully differentiated GCT tissue from healthy skin using quantitative analysis.

Conclusions:

  • The developed optical attenuation coefficient analysis provides a quantitative method to distinguish between GCT and healthy skin.
  • This OCT-based methodology shows potential for delineating tumor boundaries before surgical intervention.