2016
DOI: 10.1111/exd.12932
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Longitudinal in vivo tracking of adverse effects following topical steroid treatment

Abstract: Topical steroids are known for their anti-inflammatory properties and are commonly prescribed to treat many adverse skin conditions such as eczema and psoriasis. While these treatments are known to be effective, adverse effects including skin atrophy are common. In this study, the progression of these effects is investigated in an in vivo mouse model using multimodal optical microscopy. Utilizing a system capable of performing two-photon excitation fluorescence microscopy (TPEF) of reduced nicotinamide adenine… Show more

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Cited by 10 publications
(14 citation statements)
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“…Glucocorticoids have multiple treatment indications but also numerous undesirable effects, especially with long‐term use for diseases such as rheumatoid arthritis . Typical skin effects noticed with long‐term systemic and even topical glucocorticoid utilization include atrophy, ecchymosis, and purpura …”
Section: Vitamin a And Steroid Usementioning
confidence: 99%
“…Glucocorticoids have multiple treatment indications but also numerous undesirable effects, especially with long‐term use for diseases such as rheumatoid arthritis . Typical skin effects noticed with long‐term systemic and even topical glucocorticoid utilization include atrophy, ecchymosis, and purpura …”
Section: Vitamin a And Steroid Usementioning
confidence: 99%
“…This differentiation can be utilized as a marker for metabolic activity. 4 In a previous study investigating the transdermal kinetics of a drug formulation in human skin sections ex vivo, FLIM was used to monitor the drug's diffusion pathway by measuring the variation in bound NAD(P)H fluorescence lifetime before and 2 h after drug application. 5 In addition to NAD(P)H, a variety of additional endogenous fluorophores are also observed in skin.…”
Section: What Does This Study Add?mentioning
confidence: 99%
“…12,13 As a tissue component that plays a key role in the pathological state of skin diseases and cancerous tumors, numerous computational methods have been developed to characterize its¯ber structure. [12][13][14][15][16] Some of the collagen parameters that have been investigated include¯ber angle, length, width, density, and curvature. These parameters can also be characterized computationally using mathematical models, such as Fourier analysis, 14 and various computer-assisted image feature extraction methods, including curvelet transform¯ber extraction algorithm (CT-FIRE).…”
Section: Introductionmentioning
confidence: 99%
“…[12][13][14][15][16] Some of the collagen parameters that have been investigated include¯ber angle, length, width, density, and curvature. These parameters can also be characterized computationally using mathematical models, such as Fourier analysis, 14 and various computer-assisted image feature extraction methods, including curvelet transform¯ber extraction algorithm (CT-FIRE). 13,17,18 Among other techniques, CT-FIRE is especially powerful because it integrates¯ber-based preprocessing techniques with ber extraction methods to improve¯ber extraction accuracy, which leads to high sensitivity to changes in collagen alignment.…”
Section: Introductionmentioning
confidence: 99%