Spectral biopsy for skin cancer diagnosis: initial clinical results

Austin J. Moy; Xu Feng; Hieu T. M. Nguyen; Yao Zhang; Katherine R. Sebastian; Jason S. Reichenberg; James W. Tunnell

doi:10.1117/12.2251293

9 February 2017 Spectral biopsy for skin cancer diagnosis: initial clinical results

Austin J. Moy, Xu Feng, Hieu T. M. Nguyen, Yao Zhang, Katherine R. Sebastian, Jason S. Reichenberg, James W. Tunnell

Proceedings Volume 10037, Photonics in Dermatology and Plastic Surgery; 1003704 (2017) https://doi.org/10.1117/12.2251293
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Skin cancer is the most common form of cancer in the United States and is a recognized public health issue. Diagnosis of skin cancer involves biopsy of the suspicious lesion followed by histopathology. Biopsies, which involve excision of the lesion, are invasive, at times unnecessary, and are costly procedures (~$2.8B/year in the US). An unmet critical need exists to develop a non-invasive and inexpensive screening method that can eliminate the need for unnecessary biopsies. To address this need, our group has reported on the continued development of a noninvasive method that utilizes multimodal spectroscopy towards the goal of a “spectral biopsy” of skin. Our approach combines Raman spectroscopy, fluorescence spectroscopy, and diffuse reflectance spectroscopy to collect comprehensive optical property information from suspicious skin lesions. We previously described an updated spectral biopsy system that allows acquisition of all three forms of spectroscopy through a single fiber optic probe and is composed of off-the-shelf OEM components that are smaller, cheaper, and enable a more clinic-friendly system. We present initial patient data acquired with the spectral biopsy system, the first from an extensive clinical study (n = 250) to characterize its performance in identifying skin cancers (basal cell carcinoma, squamous cell carcinoma, and melanoma). We also present our first attempts at analyzing this initial set of clinical data using statistical-based models, and with models currently being developed to extract biophysical information from the collected spectra, all towards the goal of noninvasive skin cancer diagnosis.

Conference Presentation

Citation Download Citation

Austin J. Moy, Xu Feng, Hieu T. M. Nguyen, Yao Zhang, Katherine R. Sebastian, Jason S. Reichenberg, and James W. Tunnell "Spectral biopsy for skin cancer diagnosis: initial clinical results", Proc. SPIE 10037, Photonics in Dermatology and Plastic Surgery, 1003704 (9 February 2017); https://doi.org/10.1117/12.2251293

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