Quantitative collagen analysis for the detection of basal cell carcinoma with ex vivo multiphoton microscopy

Mercedes Sendín-Martín; Jasmine Posner; Ucalene Harris; Milind Rajadhyaksha; Kivanc Kose; Manu Jain

doi:10.1117/12.2578776

5 March 2021 Quantitative collagen analysis for the detection of basal cell carcinoma with ex vivo multiphoton microscopy

Mercedes Sendín-Martín, Jasmine Posner, Ucalene Harris, Milind Rajadhyaksha, Kivanc Kose, Manu Jain

Author Affiliations +

Proceedings Volume 11618, Photonics in Dermatology and Plastic Surgery 2021; 116180W (2021) https://doi.org/10.1117/12.2578776
Event: SPIE BiOS, 2021, Online Only

Abstract

Basal cell carcinoma (BCC) is the most common skin cancer worldwide. In the diagnosis process million benign biopsies are performed annually, increasing morbidity and healthcare costs. Noninvasive in vivo technologies such as multiphoton microscopy (MPM) can reduce biopsies. We explored the potential of MPM to differentiate collagen changes associated with BCC and surrounding normal skin structures using quantitative analysis (Fast Fourier transformation and Integrated optical density using ImageJ software, and its CurveAlign and CT-FIRE fiber analysis plugins) on second harmonic generation images. Our results showed that collagen distribution is more aligned surrounding BCCs when compared to the skin normal structures, showing the feasibility of detecting BCC in a quantitative way. Our initial results are limited to a small number of samples therefore, large-scale studies are needed to validate these collagen analysis methods.

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Citation Download Citation

Mercedes Sendín-Martín, Jasmine Posner, Ucalene Harris, Milind Rajadhyaksha, Kivanc Kose, and Manu Jain "Quantitative collagen analysis for the detection of basal cell carcinoma with ex vivo multiphoton microscopy", Proc. SPIE 11618, Photonics in Dermatology and Plastic Surgery 2021, 116180W (5 March 2021); https://doi.org/10.1117/12.2578776

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