2006
DOI: 10.1016/j.jdermsci.2006.09.008
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In vivo data of epidermal thickness evaluated by optical coherence tomography: Effects of age, gender, skin type, and anatomic site

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Cited by 210 publications
(184 citation statements)
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“…Features such as disruption of skin layers and dark lobules have been observed in OCT images of NMSC in previous studies and used to differentiate NMSC from normal skin. 43,44 Furthermore, higher signal attenuation in depth was observed in Fig. 4(e) compared with the corresponding image of normal skin.…”
Section: Ex Vivo 3-d High-resolution Images Of Normalmentioning
confidence: 84%
“…Features such as disruption of skin layers and dark lobules have been observed in OCT images of NMSC in previous studies and used to differentiate NMSC from normal skin. 43,44 Furthermore, higher signal attenuation in depth was observed in Fig. 4(e) compared with the corresponding image of normal skin.…”
Section: Ex Vivo 3-d High-resolution Images Of Normalmentioning
confidence: 84%
“…It is known that the mechanical properties of skin vary with respect to different factors such as anatomical region, age, gender and individual phenotype (Escoffier et al, 1988;Cua et al, 1990;Agache et al, 2004;Gambichler et al, 2006). revealed that the Young modulus for stratum corneum of porcine skin was dependent upon the moisture content of the skin, ranging from 26 -120 MPa, for wet and dry skin, respectively.…”
Section: Finite Element Modelling (Fem) Modelling Of Mn Insertionmentioning
confidence: 99%
“…However, it has been shown that typical morphological features of normal skin visible in MPT and OCT vary from site to site in the body depending on age, gender and skin type [41,42]. Similarly, quantitative parameters extracted from MPT and OCT images of normal skin such as cell and nucleus diameter, epi- dermal thickness, nucleus to cytoplasm ratio, cell density and SHG to autofluorescence ageing index of dermis exhibit intra-personal and inter-personal differences [43,44]. Hence, the complimentary morphological and functional information that can be extracted using MPT and OCT should help clinicians analyze the imaged volume and effectively characterize the dermatological condition.…”
Section: Discussionmentioning
confidence: 99%