Evidence map›Paper›PMID 29760984›Full record

ArticleBiomedical optics express2018

The value of ultrahigh resolution OCT in dermatology - delineating the dermo-epidermal junction, capillaries in the dermal papillae and vellus hairs.

Niels Møller Israelsen, Michael Maria, Mette Mogensen, Sophie Bojesen, Mikkel Jensen, Merete Haedersdal, Adrian Podoleanu, Ole Bang

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04295824 (Skin Pathology Assessment With Optical Technologies), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% 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.

NCT04295824 completednot on this mapstarted 2020, after this paper: background citation

Skin Pathology Assessment With Optical Technologies (SPOT): a Cross- Sectional Clinical Study in Atopic Dermatitis Patients and Healthy Subjects

TypeobservationalSponsorSheffield Teaching Hospitals NHS Foundation TrustRan2020 to 2022Enrolled80ConditionsAtopic Dermatitis EczemaArmsSkin imaging and Skin biopsy
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

8 authors at 3 institutions in 2 countries.

Niels Møller IsraelsenTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Michael MariaTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Mette MogensenDepartment of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV, Denmark.
Sophie BojesenDepartment of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV, Denmark.
Mikkel JensenTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Merete HaedersdalDepartment of Dermatology, Bisbebjerg Hospital, University of Copenhagen, Bispebjerg Bakke 23, DK-2400 Copenhagen NV, Denmark.
Adrian PodoleanuUniversity of Kent, School of Physical Sciences, Canterbury, Kent, England, CT2 7NZ.
Ole BangTechnical University of Denmark, DTU Fotonik, Kongens Lyngby, 2800, Denmark.
Technical University of Denmark · DKUniversity of Copenhagen · DKUniversity of Kent · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) imaging of the skin is gaining recognition and is increasingly applied to dermatological research. A key dermatological parameter inferred from an OCT image is the epidermal (Ep) thickness as a thickened Ep can be an indicator of a skin disease. Agreement in the literature on the signal characters of Ep and the subjacent skin layer, the dermis (D), is evident. Ambiguities of the OCT signal interpretation in the literature is however seen for the transition region between the Ep and D, which from histology is known as the dermo-epidermal junction (DEJ); a distinct junction comprised of the lower surface of a single cell layer in epidermis (the stratum basale) connected to an even thinner membrane (the basement membrane). The basement membrane is attached to the underlying dermis. In this work we investigate the impact of an improved axial and lateral resolution on the applicability of OCT for imaging of the skin. To this goal, OCT images are compared produced by a commercial OCT system (Vivosight from Michaelson Diagnostics) and by an in-house built ultrahigh resolution (UHR-) OCT system for dermatology. In 11 healthy volunteers, we investigate the DEJ signal characteristics. We perform a detailed analysis of the dark (low) signal band clearly seen for UHR-OCT in the DEJ region where we, by using a transition function, find the signal transition of axial sub-resolution character, which can be directly attributed to the exact location of DEJ, both in normal (thin/hairy) and glabrous (thick) skin. To our knowledge no detailed delineating of the DEJ in the UHR-OCT image has previously been reported, despite many publications within this field. For selected healthy volunteers, we investigate the dermal papillae and the vellus hairs and identify distinct features that only UHR-OCT can resolve. Differences are seen in tracing hairs of diameter below 20 μm, and in imaging the dermal papillae where, when utilising the UHR-OCT, capillary structures are identified in the hand palm, not previously reported in OCT studies and specifically for

Indexed as

(110.4500) Optical coherence tomography(170.0110) Imaging systems(170.1870) Dermatology(170.4500) Optical coherence tomography

Identifiers

PMID29760984
PMCPMC5946785
OpenAlexW2787022028

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.