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Sensors (Basel). 2019 Jun 24;19(12). pii: E2815. doi: 10.3390/s19122815.

Photoacoustic/Ultrasound/Optical Coherence Tomography Evaluation of Melanoma Lesion and Healthy Skin in a Swine Model.

Author information

1
Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA. karl.kratkiewicz@wayne.edu.
2
Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA. r.manwar@wayne.edu.
3
Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA. arajabi@med.miami.edu.
4
Wayne State University School of Medicine, Detroit, MI 48201, USA. jfakhour@med.wayne.edu.
5
EKSPLA USA, Bozeman, MT 59715, USA. jurgita@altosphotonics.com.
6
Department of Neurology, Wayne State University School of Medicine, Detroit, MI 48201, USA. sdaveluy@med.wayne.edu.
7
Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA. sdaveluy@med.wayne.edu.
8
Wayne State University School of Medicine, Detroit, MI 48201, USA. dmehregan@wayne.edu.
9
Department of Biomedical Engineering, Wayne State University, Detroit, MI 48201, USA. mrn.avanaki@wayne.edu.
10
Wayne State University School of Medicine, Detroit, MI 48201, USA. mrn.avanaki@wayne.edu.
11
Department of Neurology, Wayne State University School of Medicine, Detroit, MI 48201, USA. mrn.avanaki@wayne.edu.
12
Barbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA. mrn.avanaki@wayne.edu.

Abstract

The marked increase in the incidence of melanoma coupled with the rapid drop in the survival rate after metastasis has promoted the investigation into improved diagnostic methods for melanoma. High-frequency ultrasound (US), optical coherence tomography (OCT), and photoacoustic imaging (PAI) are three potential modalities that can assist a dermatologist by providing extra information beyond dermoscopic features. In this study, we imaged a swine model with spontaneous melanoma using these modalities and compared the images with images of nearby healthy skin. Histology images were used for validation.

KEYWORDS:

cancer imaging; melanoma; optical coherence tomography; photoacoustic imaging; skin imaging; swine melanoma model; ultrasound

PMID:
31238540
PMCID:
PMC6630987
DOI:
10.3390/s19122815
[Indexed for MEDLINE]
Free PMC Article

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