Reliability and validity of two <i>in vivo</i> measurements for skin surface topography in aged adults

Trojahn, Carina; Schario, Marianne; Dobos, Gábor; Blume-Peytavi, Ulrike; Kottner, Jan

doi:10.1111/srt.12156

Cited by 25 publications

(35 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…22,23 Roughness measurements were conducted in a controlled room temperature of 22 AE 2°C and 50% AE 10% relative humidity and after the participants' acclimatization for at least 30 min. The Visioscan® VC 98 camera and the corresponding software SELS 2000 (both Courage & Khazaka Electronic GmbH, Cologne, Germany) were used to measure the DIN/ISO parameters R z (arithmetic mean roughness from five consecutive sampling lengths) and R max (maximal roughness).…”

Section: Criterion Validation Of the Item "Surfacementioning

confidence: 99%

Measuring skin aging using optical coherence tomographyin vivo: a validation study

et al. 2015

View full text Add to dashboard Cite

Dermal and epidermal structures in human skin change during intrinsic and extrinsic aging. Epidermal thickness is one of the most often reported parameters for the assessment of skin aging in cross-sectional images captured by optical coherence tomography (OCT). We aimed to identify further parameters for the noninvasive measurement of skin aging of sun-exposed and sun-protected areas utilizing OCT. Based on a literature review, seven parameters were inductively developed. Three independent raters assessed these parameters using four-point scales on images of female subjects of two age groups. All items could be detected and quantified in our sample. Interrater agreement ranged between 25.0% and 83.3%. The item scores “stratum corneum reflectivity,” “upper dermal reflectivity,” and “dermoepidermal contrast” showed significant differences between age groups on the volar and dorsal forearm indicating that they were best able to measure changes during skin aging. “Surface unevenness” was associated with the skin roughness parameters, Rz and Rmax, on the inner upper arm and volar forearm supporting the criterion validity of this parameter on sun-protected skin areas. Based on the interrater agreement and the ability to differentiate between age groups, these four parameters are being considered as the best candidates for measuring skin aging in OCT images.

show abstract

Section: Criterion Validation Of the Item "Surfacementioning

confidence: 99%

Measuring skin aging using optical coherence tomographyin vivo: a validation study

et al. 2015

View full text Add to dashboard Cite

show abstract

“…We have used the DIN/ISO parameters R max⁡ and R z because previous studies showed that these are the parameters with high reliability and validity estimates in elderly subjects [32]. While R max⁡ represents the maximal roughness, R z is defined as the arithmetic mean roughness from five consecutive sampling lengths.…”

Section: Methodsmentioning

confidence: 99%

Characterizing Facial Skin Ageing in Humans: Disentangling Extrinsic from Intrinsic Biological Phenomena

Trojahn

Dobos

Lichterfeld

et al. 2015

BioMed Research International

View full text Add to dashboard Cite

Facial skin ageing is caused by intrinsic and extrinsic mechanisms. Intrinsic ageing is highly related to chronological age. Age related skin changes can be measured using clinical and biophysical methods. The aim of this study was to evaluate whether and how clinical characteristics and biophysical parameters are associated with each other with and without adjustment for chronological age. Twenty-four female subjects of three age groups were enrolled. Clinical assessments (global facial skin ageing, wrinkling, and sagging), and biophysical measurements (roughness, colour, skin elasticity, and barrier function) were conducted at both upper cheeks. Pearson's correlations and linear regression models adjusted for age were calculated. Most of the measured parameters were correlated with chronological age (e.g., association with wrinkle score, r = 0.901) and with each other (e.g., residual skin deformation and wrinkle score, r = 0.606). After statistical adjustment for age, only few associations remained (e.g., mean roughness (R z) and luminance (L *), β = −0.507, R 2 = 0.377). Chronological age as surrogate marker for intrinsic ageing has the most important influence on most facial skin ageing signs. Changes in skin elasticity, wrinkling, sagging, and yellowness seem to be caused by additional extrinsic ageing.

show abstract

“…Attempts have been made to quantify measurements with ever increasing precision using imaging techniques. High-resolution ultrasound (e.g., PRIMOS) [25] has been directed to reveal minute changes in skin surface texture. Magnetic resonance imaging, similarly, has been analyzed to specify the volumetric fat reduction resulting from noninvasive procedures [26].…”

Section: Subjectivity Of Outcome Measuresmentioning

confidence: 99%

Rationalizing Outcome Measures in Dermatologic Surgery

et al. 2015

View full text Add to dashboard Cite

Dermatologic surgery, including cancer surgery, cosmetic surgery, and laser and energy device procedures, is a well-established branch of dermatology known for minimally invasive, effective, and safe solutions to patient problems. Over time, clinical research pertaining to dermatologic surgery has improved in terms of methodologic rigor, with dermatologic surgery accounting for a large proportion of the comparative effectiveness studies and randomized controlled trials in dermatology. Further improvements in the quality of studies examining dermatologic surgery therapies will require understanding and overcoming several remaining challenges.

show abstract

Reliability and validity of two in vivo measurements for skin surface topography in aged adults

Abstract: The Visioscan® parameters SEr, Rmax, and Rz showed most reliable and valid values and were largely comparable on contralateral forearm skin sites in elderly subjects. Rmax, Rz, and Ra should be preferred for measuring skin surface topography with PRIMOS.

Cited by 25 publications

References 24 publications

Measuring skin aging using optical coherence tomographyin vivo: a validation study

Measuring skin aging using optical coherence tomographyin vivo: a validation study

Characterizing Facial Skin Ageing in Humans: Disentangling Extrinsic from Intrinsic Biological Phenomena

Rationalizing Outcome Measures in Dermatologic Surgery

Contact Info

Product

Resources

About