Evidence map›Paper›PMID 37620374›Full record

ArticleScientific reports2023

Line-field confocal optical coherence tomography coupled with artificial intelligence algorithms to identify quantitative biomarkers of facial skin ageing.

Franck Bonnier, Mélanie Pedrazzani, Sébastien Fischman, Théo Viel, Agnes Lavoix, Didier Pegoud, Meryem Nili, Yolande Jimenez, Samuel Ralambondrainy, Jean-Hubert Cauchard and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
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  4. Impact of Hyaluronic Acid Lip Filling on the Electromyographic Activity of the Orbicularis Oris Muscle in Adult Women.Indian journal of plastic surgery : official publication of the Association of Plastic Surgeons of India · 2025
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  11. 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
  12. Epidermal renewal during the treatment of atopic dermatitis lesions: A study coupling line-field confocal optical coherence tomography with artificial intelligence quantifications: LC-OCT reveals new biological markers of AD.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
  13. Review
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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

11 authors at 1 institution in 1 country.

Franck BonnierLVMH Recherche, 185 Avenue de Verdun, 45804, Saint Jean de Braye, France. fbonnier@research.lvmh-pc.com.
Mélanie PedrazzaniDAMAE Medical, 14 Rue Sthrau, 75013, Paris, France.
Sébastien FischmanDAMAE Medical, 14 Rue Sthrau, 75013, Paris, France.
Théo VielDAMAE Medical, 14 Rue Sthrau, 75013, Paris, France.
Agnes LavoixDERMATECH, 8 Rue Jacqueline Auriol, 69008, Lyon, France.
Didier PegoudDERMATECH, 8 Rue Jacqueline Auriol, 69008, Lyon, France.
Meryem NiliDERMATECH, 8 Rue Jacqueline Auriol, 69008, Lyon, France.
Yolande JimenezDERMATECH, 8 Rue Jacqueline Auriol, 69008, Lyon, France.
Samuel RalambondrainyLVMH Recherche, 185 Avenue de Verdun, 45804, Saint Jean de Braye, France.
Jean-Hubert CauchardLVMH Recherche, 185 Avenue de Verdun, 45804, Saint Jean de Braye, France.
Rodolphe KorichiLVMH Recherche, 185 Avenue de Verdun, 45804, Saint Jean de Braye, France.
LVMH (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative biomarkers of facial skin ageing were studied from one hundred healthy Caucasian female volunteers, aged 20-70 years, using in vivo 3D Line-field Confocal Optical Coherence Tomography (LC-OCT) imaging coupled with Artificial Intelligence (AI)-based quantification algorithms. Layer metrics, i.e. stratum corneum thickness (SC), viable epidermal thickness and Dermal-Epidermal Junction (DEJ) undulation, as well as cellular metrics were measured for the temple, cheekbone and mandible. For all three investigated facial areas, minimal age-related variations were observed in the thickness of the SC and viable epidermis layers. A flatter and more homogeneous epidermis (decrease in the standard deviation of the number of layers means), a less dense cellular network with fewer cells per layer (decrease in cell surface density), and larger and more heterogeneous nuclei within each layer (increase in nuclei volume and their standard deviation) were found with significant variations with age. The higher atypia scores further reflected the heterogeneity of nuclei throughout the viable epidermis. The 3D visualisation of fine structures in the skin at the micrometric resolution and the 1200 µm × 500 µm field of view achieved with LC-OCT imaging enabled to compute relevant quantitative biomarkers for a better understanding of skin biology and the ageing process in vivo.

Indexed as

Artificial IntelligenceSkin AgingAlgorithmsBiomarkersFemaleHumansTomography, Optical CoherenceBiomarkers

Identifiers

PMID37620374
PMCPMC10449778
OpenAlexW4386134397

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.