1. Institute for Biodiagnostics, National Research Council of Canada, Winnipeg, Manitoba, Canada
2. ^*Department of Plastic Surgery, Health Sciences Center, University of Manitoba, Winnipeg, Manitoba, Canada
3. ^†Central Medical Laboratories and the Department of Laboratories, Misericordia Health Center, Winnipeg, Manitoba, Canada

Correspondence: Dr Mike Jackson, Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Ave., Winnipeg, Manitoba, Canada R3B 1Y6

Received 13 May 1998; Revised 3 March 1999; Accepted 7 March 1999.

Abstract

Infrared spectroscopy, by probing the molecular vibration of chemical bonds, directly indicates tissue biochemistry. An expanding body of literature suggests that infrared spectra distinguish diseased from normal tissue. The authors used infrared spectroscopy to examine basal cell carcinoma to explore distinctive characteristics of basal cell carcinoma versus normal skin samples and other skin neoplasms. Spectra of epidermis, tumor, follicle sheath, and dermis were acquired from unstained frozen sections, and analyzed qualitatively, by t-tests and by linear discriminant analyses. Dermal spectra were significantly different from the other skin components mainly due to absorptions from collagen in dermis. Spectra of normal epidermis and basal cell carcinoma were significantly different by virtue of subtle differences in protein structure and nucleic acid content. Linear discriminant analysis characterized spectra as arising from basal cell carcinoma, epidermis, or follicle sheath with 98.7% accuracy. Use of linear discriminant analysis accurately classified spectra as arising from epidermis overlying basal cell carcinoma versus epidermis overlying nontumor-bearing skin in 98.0% of cases. Spectra of basal cell carcinoma, squamous cell carcinoma, nevi, and malignant melanoma were qualitatively similar. Distinction of basal cell carcinoma, squamous cell carcinoma, and melanocytic lesions by linear discriminant analyses, however, was 93.5% accurate. Therefore, spectral separation of abnormal versus normal tissue was achieved with high sensitivity and specificity, which points to infrared spectroscopy as a potentially useful screening tool for cutaneous neoplasia.