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Biomed Eng Comput Biol. 2018 Aug 2;9:1179597218790250. doi: 10.1177/1179597218790250. eCollection 2018.

Granular Cell Tumor Imaging Using Optical Coherence Tomography.

Author information

1
Department of Biomedical Engineering, Wayne State University, Detroit, MI, USA.
2
School of Health and Related Research, The University of Sheffield, Sheffield, UK.
3
Department of Dermatology, School of Medicine, Wayne State University, Detroit, MI, USA.
4
Department of Pathology, School of Medicine, Wayne State University, Detroit, MI, USA.
5
Cutaneous Oncology Department, A.C.Camargo Cancer Center, São Paulo, Brazil.
6
Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA.

Abstract

Background:

Granular cell tumor (GCT) is a relatively uncommon tumor that may affect the skin. The tumor can develop anywhere on the body, although it is predominately seen in oral cavities and in the head and neck regions. Here, we present the results of optical coherence tomography (OCT) imaging of a large GCT located on the abdomen of a patient. We also present an analytical method to differentiate between healthy tissue and GCT tissues.

Materials and methods:

A multibeam, Fourier domain, swept source OCT was used for imaging. The OCT had a central wavelength of 1305 ± 15 nm and lateral and axial resolutions of 7.5 and 10 µm, respectively. Qualitative and quantitative analyses of the tumor and healthy skin are reported.

Results:

Abrupt changes in architectures of the dermal and epidermal layers in the GCT lesion were observed. These architectural changes were not observed in healthy skin.

Discussion:

To quantitatively differentiate healthy skin from tumor regions, an optical attenuation coefficient analysis based on single-scattering formulation was performed. The methodology introduced here could have the capability to delineate boundaries of a tumor prior to surgical excision.

KEYWORDS:

Optical coherence tomography; attenuation coefficient; granular cell tumor; image analysis; image processing; tumor border detection

Conflict of interest statement

Declaration of conflicting interests:The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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