High-definition optical coherence tomography: adapted algorithmic method for pattern analysis of inflammatory skin diseases: a pilot study
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High-definition optical coherence tomography : adapted algorithmic method for pattern analysis of inflammatory skin diseases: a pilot study. / Boone, Marc; Norrenberg, Sarah; Jemec, Gregor; Del Marmol, Véronique.
In: Archives of Dermatological Research, Vol. 305, No. 4, 05.2013, p. 283-97.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - High-definition optical coherence tomography
T2 - adapted algorithmic method for pattern analysis of inflammatory skin diseases: a pilot study
AU - Boone, Marc
AU - Norrenberg, Sarah
AU - Jemec, Gregor
AU - Del Marmol, Véronique
PY - 2013/5
Y1 - 2013/5
N2 - High-definition optical coherence tomography (HD-OCT) is a non-invasive technique for morphological investigation of tissue with cellular resolution filling the imaging gap between reflectance confocal microscopy and conventional optical coherence tomography. The aim of this study is first to correlate dermatopathologic descriptors of inflammatory skin conditions with epidermal alteration to features observed by HD-OCT. Secondly, to assess the discriminative accuracy of common inflammatory reaction patterns with epidermal alteration using HD-OCT by applying Ackerman's algorithmic method of pattern recognition. The generated HD-OCT images of 160 patients presenting an inflammatory skin disease were analyzed with respect to the following criteria: visualization of individual cells in the epidermis and dermis and morphology of dermo-epidermal junction, papillary dermis and reticular dermis. A set of morphological features corresponding to dermatopathological descriptors are obtained and the discriminative accuracy of HD-OCT of inflammatory reaction patterns could be demonstrated. These patterns are spongiotic dermatitis, psoriasiform dermatitis, interface dermatitis and ballooning dermatitis. Additional studies to test the sensitivity and specificity of the proposed algorithm for pattern analysis are essential. The other categories of Ackerman's pattern recognition need to be evaluated. This study provides a set of morphological features generated by HD-OCT imaging very similar to those described for reflectance confocal microscopy but with the advantages not only to visualize individual cells up to a depth of 570 μm but also in both slice and en face mode. An adapted algorithmic method for pattern analysis of common inflammatory skin diseases could be proposed. This new technique appears to be a promising method for non-invasive diagnosis, evaluation and management of common inflammatory skin diseases.
AB - High-definition optical coherence tomography (HD-OCT) is a non-invasive technique for morphological investigation of tissue with cellular resolution filling the imaging gap between reflectance confocal microscopy and conventional optical coherence tomography. The aim of this study is first to correlate dermatopathologic descriptors of inflammatory skin conditions with epidermal alteration to features observed by HD-OCT. Secondly, to assess the discriminative accuracy of common inflammatory reaction patterns with epidermal alteration using HD-OCT by applying Ackerman's algorithmic method of pattern recognition. The generated HD-OCT images of 160 patients presenting an inflammatory skin disease were analyzed with respect to the following criteria: visualization of individual cells in the epidermis and dermis and morphology of dermo-epidermal junction, papillary dermis and reticular dermis. A set of morphological features corresponding to dermatopathological descriptors are obtained and the discriminative accuracy of HD-OCT of inflammatory reaction patterns could be demonstrated. These patterns are spongiotic dermatitis, psoriasiform dermatitis, interface dermatitis and ballooning dermatitis. Additional studies to test the sensitivity and specificity of the proposed algorithm for pattern analysis are essential. The other categories of Ackerman's pattern recognition need to be evaluated. This study provides a set of morphological features generated by HD-OCT imaging very similar to those described for reflectance confocal microscopy but with the advantages not only to visualize individual cells up to a depth of 570 μm but also in both slice and en face mode. An adapted algorithmic method for pattern analysis of common inflammatory skin diseases could be proposed. This new technique appears to be a promising method for non-invasive diagnosis, evaluation and management of common inflammatory skin diseases.
KW - Adolescent
KW - Adult
KW - Aged
KW - Aged, 80 and over
KW - Algorithms
KW - Dermatitis
KW - Dermis
KW - Epidermis
KW - Female
KW - Humans
KW - Male
KW - Middle Aged
KW - Pilot Projects
KW - Sensitivity and Specificity
KW - Tomography, Optical Coherence
KW - Young Adult
U2 - 10.1007/s00403-012-1311-8
DO - 10.1007/s00403-012-1311-8
M3 - Journal article
C2 - 23291909
VL - 305
SP - 283
EP - 297
JO - Archiv für Dermatologische Forschung
JF - Archiv für Dermatologische Forschung
SN - 0340-3696
IS - 4
ER -
ID: 120841368