Paper
24 June 2013 Predictive analysis of optical ablation in several dermatological tumoral tissues
F. Fanjul-Vélez, A. Blanco-Gutiérrez, I. Salas-García, N. Ortega-Quijano, J. L. Arce-Diego
Author Affiliations +
Abstract
Optical techniques for treatment and characterization of biological tissues are revolutionizing several branches of medical praxis, for example in ophthalmology or dermatology. The non-invasive, non-contact and non-ionizing character of optical radiation makes it specially suitable for these applications. Optical radiation can be employed in medical ablation applications, either for tissue resection or surgery. Optical ablation may provide a controlled and clean cut on a biological tissue. This is particularly relevant in tumoral tissue resection, where a small amount of cancerous cells could make the tumor appear again. A very important aspect of tissue optical ablation is then the estimation of the affected volume. In this work we propose a complete predictive model of tissue ablation that provides an estimation of the resected volume. The model is based on a Monte Carlo approach for the optical propagation of radiation inside the tissue, and a blow-off model for tissue ablation. This model is applied to several types of dermatological tumoral tissues, specifically squamous cells, basocellular and infiltrative carcinomas. The parameters of the optical source are varied and the estimated resected volume is calculated. The results for the different tumor types are presented and compared. This model can be used for surgical planning, in order to assure the complete resection of the tumoral tissue.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Fanjul-Vélez, A. Blanco-Gutiérrez, I. Salas-García, N. Ortega-Quijano, and J. L. Arce-Diego "Predictive analysis of optical ablation in several dermatological tumoral tissues", Proc. SPIE 8803, Medical Laser Applications and Laser-Tissue Interactions VI, 88030R (24 June 2013); https://doi.org/10.1117/12.2031948
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KEYWORDS
Tissue optics

Tissues

Tumors

Geometrical optics

Tumor growth modeling

Biomedical optics

Skin cancer

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