Skin texture aging trend analysis using dermoscopy images

Choi, Young−Hwan; Kim, D.; Hwang, Eenjun; Kim, B. J.

doi:10.1111/srt.12143

Cited by 19 publications

(20 citation statements)

References 19 publications

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“…With aging, the ridges increase in size, become distorted, and disappear . The number of cross‐hatches therefore decreases with age, leading to a smaller texture value with increasing age . The roughness parameter changes due to aging‐associated atrophy of the structural components of skin tissue .…”

Section: Discussionmentioning

confidence: 99%

Age estimation based on visual parameters of the skin of cadavers

Tsuboi

Yokota

Miyamori

et al. 2019

Skin Research and Technology

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Background Previous studies have reported relationships between various visual parameters of the skin and changes due to aging. Due to an increase in the discovery of unidentified bodies, the field of forensic medicine anticipates the development of a rapid method for estimating age. The present study measured various visual parameters of the skin in human remains and investigated the correlation between these parameters and age. Materials and Methods Skin images were taken of four body parts (cheek, chin, brachium, and thigh) of 414 forensic cases. We interpreted eight visual parameters of the skin (smoothness, roughness, texture, dullness, brightness, erythema, color phase, and sagging) from skin photograph images, and constructed three age‐prediction models, categorized by sex, postmortem interval, and age. Results Significant correlations were observed in the erythema of the cheek and chin, the roughness of the brachium, and the texture of the brachium and thigh among the visual parameters calculated in four body parts, using the three models. The root‐mean‐square errors, which indicate the precision of the three prediction models, were 13.06, 13.80, and 13.77. The only model that demonstrated a correlation with the visual parameters was sex (but not age or postmortem interval). Conclusion Similar to living subjects, we observed a correlation with age for a number of visual parameters. The parameters that correlate with age depend on whether the site being measured was exposed to sunlight. Age estimation based on visual parameters requires measurement of visual parameters for skin both exposed and not exposed to sunlight.

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Section: Discussionmentioning

confidence: 99%

Age estimation based on visual parameters of the skin of cadavers

Tsuboi

Yokota

Miyamori

et al. 2019

Skin Research and Technology

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“…They extracted the length, width, and depth of wrinkle in skeleton image using watershed algorithm, and the number and area of cells using Polygon Mesh Detection Algorithm (PMDA). So, they developed a scheme for skin texture aging trend analysis in terms of diverse skin texture features using Support Vector Machine (SVM) . However, their method was difficult for diagnosing skin without dermoscopy.…”

Section: Discussionmentioning

confidence: 99%

Age‐dependent skin texture analysis and evaluation using mobile camera image

Moon

Lee

2018

Skin Research and Technology

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“…This method uses near‐infrared radiation with high spatial resolution (10‐15 μm) and has a firmly established position as a clinically essential device in ophthalmology. OCT can measure potential parameters of skin ageing, such as “epidermal thickness,” “stratum corneum reflectivity,” “upper dermis reflectivity,” “dermo‐epidermal contrast” and “surface unevenness.” Other methods include multiphoton laser scanning tomography for evaluating dermal fibre networks, magnetic resonance imaging for assessing skin ageing, and dermoscopy …”

Section: Skin Ageing Researchmentioning

confidence: 99%

“…[46] Other methods include multiphoton laser scanning tomography for evaluating dermal fibre networks, [47] magnetic resonance imaging for assessing skin ageing, [48] and dermoscopy. [49]…”

Section: Ta B L E 1 Commercially Available Reconstructed Skin Modelsmentioning

confidence: 99%

Alternative test models for skin ageing research

Nakamura

Haarmann‐Stemmann

Krutmann

et al. 2018

Experimental Dermatology

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Increasing ethical concerns regarding animal experimentation have led to the development of various alternative methods based on the 3Rs (Refinement, Reduction and Replacement), first described by Russell and Burch in 1959. Cosmetic research and skin ageing research are particularly susceptible to concerns related to animal testing. In addition to animal welfare reasons, there are scientific and economic reasons to reduce and avoid animal experiments. Importantly, animal experiments may not reflect findings in humans mainly because of the differences in architectures and immune responses between animal skin and human skin. Here, we review the shift from animal testing to the development and application of alternative non-animal-based methods and the necessity and benefits of this shift. Some specific alternatives to animal models are discussed, including biochemical approaches, 2-dimensional and 3-dimensional cell cultures and volunteer studies, as well as future directions, including genome-based research and the development of in silico computer simulations of skin models. Among the in vitro methods, 3-dimensional reconstructed skin models are highly popular and useful alternatives to animal models however still have many limitations. With careful selection and skilful handling, these alternative methods will become indispensable for modern dermatology and skin ageing research.

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Skin texture aging trend analysis using dermoscopy images

Cited by 19 publications

References 19 publications

Age estimation based on visual parameters of the skin of cadavers

Age estimation based on visual parameters of the skin of cadavers

Age‐dependent skin texture analysis and evaluation using mobile camera image

Alternative test models for skin ageing research

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