Page 37 - Noninvasive Diagnostic Techniques for the Detection of Skin Cancers
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Summary
                   In this brief, a single RCT of PDD was found in which the technical aspects of method were
               explored. Much of the extant literature addresses the technical aspects of the photosensitizers or
               the available different light sources. Although the available literature addresses the potential
               benefit of this method in directing or limiting potentially disfiguring biopsies for patients with
               nonmelanomatous skin lesions, there is little to no evidence to support the use of this method in
               melanoma given current data on test accuracy. Information about training requirements or
               optimum clinical setting was also not identified.

               Investigational Devices


               Multiphoton Laser Scanning Microscopy
                   Multiphoton laser scanning microscopy, also known as multiphoton fluorescence microscopy
               or multiphoton excitation microscopy, uses more than one photon excitation to illuminate
               endogenous fluorophores in skin tissues, which emits a fluorescence signal to be captured by a
               detector. 122  Similar to CSLM, it uses laser beam and allows imaging of tissues beyond the
               superficial epidermis. Unlike CSLM, this technique does not use a confocal pinhole filter. 123,124
               Evidence of the current application of this modality is sparse. Our systematic literature search
               identified three narrative reviews and two diagnostic studies of multiphoton microscopy or
               tomography (see Appendix D, Table D1).
                   We identified two registered cross-sectional studies that assess the use of this technology for
               skin lesion evaluation. Both studies are based in Taiwan and are recruiting participants (see
               Appendix C, Table C2). The only commercially available device for multiphoton tomography is
                             ®
               DermaInspect , manufactured by JenLab in Germany (jenlab.de/DermaInspect-R.29.0.html). We
               could not determine the FDA clearance status for this device on the FDA CDRH database (see
               Appendix C, Table C1).

               Electrical Bio-Impedance
                   Different biological tissues have different electrical impedance spectra. The spectrometer
               measures impedance in different frequencies (1 to 1000 kHz) as different frequencies reflect
               different tissue properties. Skin electrical impedance has been found to be statistically different
               depending on tissue types (e.g., impedance of benign pigmented nevi has been shown to be
               different from basal cell carcinoma). 125  One group of authors reported using the SciBase I
               noninvasive electrical impedance spectrometer (SciBase AB, Huddinge, Sweden) to measure
               impedance of different skin lesions. The use of electrical bio-impedance in the detection of skin
               cancer remains investigational at this time. The five abstracts on bio-impedance that we
               identified were all published before 2006 (see Appendix D, Table D1).
                   A proposed advantage of bioelectrical impedance is that the data generated from this
               technology can complement information from visual inspection, and help prevent misdiagnosis
               of basal cell carcinoma and other types of skin cancer. 126  Even though statistically significant
               differences in impedance were found between tissue types in Aberg 2003, 125  the degree of
               overlap and within group variance were too high to allow for easy clinical differentiation based
               on impedance measurements.
                   A search of the ClinicalTrials.gov Web site (accessed November 3, 2010) identified an
               international, prospective, non-randomized study that collected data for optimization of an
               algorithm to classify skin lesions using electrical impedance. This study has been completed, but




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