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Consistency and distribution of reflectance confocal microscopy features for diagnosis of cutaneous T cell lymphoma

J. Biomed. Opt. 17, 016001 (Jan 31, 2012); http://dx.doi.org/10.1117/1.JBO.17.1.016001

Susanne Lange-Asschenfeldt, Jasmin Babilli, Marc Beyer, Eggert Stockfleth, and Martina Ulrich

Universitätsmedizin Charité, Department of Dermatology, Berlin, Germany

Francisca Ríus-Diaz

University of Malaga, Department of Biostatistics, Malaga, Spain

Salvador González

Memorial Sloan Kettering Cancer Center, Division of Dermatology, New York, New York

Reflectance confocal microscopy (RCM) represents a noninvasive imaging technique that has previously been used for characterization of mycosis fungoides (MF) in a pilot study. We aimed to test the applicability of RCM for diagnosis and differential diagnosis of MF in a clinical study. A total of 39 test sites of 15 patients with a biopsy-proven diagnosis of either MF, parapsoriasis, Sézary syndrome, or lymphomatoid papulosis were analyzed for presence and absence of RCM features of MF. Cochran and Chi2 analysis were applied to test the concordance between investigators and the distribution of RCM features, respectively. For selected parameters, the Cochran analysis showed good concordance between investigators. Inter-observer reproducibility was highest for junctional atypical lymphocytes, architectural disarray, and spongiosis. Similarly, Chi2 analysis demonstrated that selected features were present at particularly high frequency in individual skin diseases, with values ranging from 73% to 100% of all examined cases.

© 2012 Society of Photo-Optical Instrumentation Engineers

History
Received Sep 19, 2011
Revised Oct 28, 2011
Published online Jan 31, 2012
Citation
Susanne Lange-Asschenfeldt, Jasmin Babilli, Marc Beyer, Francisca Ríus-Diaz, Salvador González, Eggert Stockfleth and Martina Ulrich, "Consistency and distribution of reflectance confocal microscopy features for diagnosis of cutaneous T cell lymphoma", J. Biomed. Opt. 17, 016001 (Jan 31, 2012); http://dx.doi.org/10.1117/1.JBO.17.1.016001

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