Evidence map›Paper›PMID 39221700›Full record

ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024

Comparison of facial skin ageing in healthy Asian and Caucasian females quantified by in vivo line-field confocal optical coherence tomography 3D imaging.

Assi Ali, Lopez Colombe, Pedrazzani Mélanie, Pignol-Lavoix Agnes, Nili Meryem, Ralambondrainy Samuel, Grignon Guénolé, Cauchard Jean-Hubert, Korichi Rodolphe, Bonnier Franck

Abstract readComparative Study
In one paragraph

Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Non-Invasive Imaging in Post-Radiotherapy Monitoring of Non-Melanoma Skin Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  7. Comparison of facial skin ageing in healthy Asian and Caucasian females quantified by in vivo line-field confocal optical coherence tomography 3D imaging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Assi AliLVMH Recherche, Saint Jean de Braye, Paris, France.
Lopez ColombeDAMAE Medical, Paris, France.
Pedrazzani MélanieDAMAE Medical, Paris, France.
Pignol-Lavoix AgnesCOMPLIFE, Lyon, France.
Nili MeryemCOMPLIFE, Lyon, France.
Ralambondrainy SamuelLVMH Recherche, Saint Jean de Braye, Paris, France.
Grignon GuénoléLVMH Recherche, Saint Jean de Braye, Paris, France.
Cauchard Jean-HubertLVMH Recherche, Saint Jean de Braye, Paris, France.
Korichi RodolpheLVMH Recherche, Saint Jean de Braye, Paris, France.
Bonnier FranckLVMH Recherche, Saint Jean de Braye, Paris, France.ORCID https://orcid.org/0000-0003-3658-4792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative biomarkers of facial skin aging were investigated in 109 healthy Asian female volunteers, aged 20 to 70 years. MATERIALS AND

methodsIn vivo 3D Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging, enhanced by Artificial Intelligence (AI)-based quantification algorithms, was utilized to compute various metrics, including stratum corneum thickness (SC), viable epidermal (VE) thickness, and Dermal-Epidermal Junction (DEJ) undulation along with cellular metrics for the temple, cheekbone, and mandible.

resultsComparison with data from a cohort of healthy Caucasian volunteers revealed similarities in the variations of stratum corneum and viable epidermis layers, as well as cellular shape and size with age in both ethnic groups. However, specific findings emerged, such as larger, more heterogeneous nuclei in both layers, demonstrated by an increase in nuclei volume and their standard deviation, and increased network atypia, all showing significant age-related variations. Caucasian females exhibited a flatter and more homogeneous epidermis, evidenced by a decreased standard deviation of the number of layers, and a less dense cellular network with fewer cells per layer, indicated by a decrease in cell surface density.

conclusionEthnicity-wise comparisons highlighted distinct biological features specific to each population. Asian individuals showed significantly higher DEJ undulation, higher compactness, and lower cell network atypia compared to their Caucasian counterparts across age groups. Differences in stratum corneum and viable epidermal thickness on the cheekbone were also significant. LC-OCT 3D imaging provides valuable insights into the aging process in different populations and underscores inherent biological differences between Caucasian and Asian female volunteers.

Indexed as

Asian PeopleFaceImaging, Three-DimensionalSkin AgingTomography, Optical CoherenceWhite PeopleAdultAgedEpidermisFemaleHealthy VolunteersHumansMiddle AgedYoung Adultartificial intelligenceAsian femaleCaucasian femalefacial ageinghealthy skinline‐field confocal optical coherence tomographynon‐invasive 3D imaging

Identifiers

PMID39221700
PMCPMC11367555

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.