Evidence map›Paper›PMID 35267448›Full record

ArticleCancers2022

Line-Field Confocal Optical Coherence Tomography: A New Tool for the Differentiation between Nevi and Melanomas?

Sandra Schuh, Cristel Ruini, Maria Katharina Elisabeth Perwein, Fabia Daxenberger, Charlotte Gust, Elke Christina Sattler, Julia Welzel

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
–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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. S1 guideline for imaging diagnostics for skin diseases.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025
    Guideline
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. 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
  15. Review
  16. Article
  17. Review
  18. Article
  19. Lentigo Maligna Treatment-An Update.Journal of clinical medicine · 2024
    Review
  20. 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

7 authors.

Sandra SchuhDepartment of Dermatology and Allergology, University Hospital, 86179 Augsburg, Germany.ORCID 0000-0002-1470-7619
Cristel RuiniDepartment of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.ORCID 0000-0002-9860-1095
Maria Katharina Elisabeth PerweinDepartment of Dermatology and Allergology, University Hospital, 86179 Augsburg, Germany.
Fabia DaxenbergerDepartment of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
Charlotte GustDepartment of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
Elke Christina SattlerDepartment of Dermatology and Allergy, University Hospital, LMU Munich, 80337 Munich, Germany.
Julia WelzelDepartment of Dermatology and Allergology, University Hospital, 86179 Augsburg, Germany.ORCID 0000-0002-6099-7418

Funding

FöFoLe (Förderprogramm für Forschung und Lehre) 10-22
6 · The paper itself

Abstract

Until now, the clinical differentiation between a nevus and a melanoma is still challenging in some cases. Line-field confocal optical coherence tomography (LC-OCT) is a new tool with the aim to change that. The aim of the study was to evaluate LC-OCT for the discrimination between nevi and melanomas. A total of 84 melanocytic lesions were examined with LC-OCT and 36 were also imaged with RCM. The observers recorded the diagnoses, and the presence or absence of the 18 most common imaging parameters for melanocytic lesions, nevi, and melanomas in the LC-OCT images. Their confidence in diagnosis and the image quality of LC-OCT and RCM were evaluated. The most useful criteria, the sensitivity and specificity of LC-OCT vs. RCM vs. histology, to differentiate a (dysplastic) nevus from a melanoma were analyzed. Good image quality correlated with better diagnostic performance (Spearman correlation: 0.4). LC-OCT had a 93% sensitivity and 100% specificity compared to RCM (93% sensitivity, 95% specificity) for diagnosing a melanoma (vs. all types of nevi). No difference in performance between RCM and LC-OCT was observed (McNemar's

Indexed as

line-field confocal optical coherence tomographymelanomanevusnon-invasive diagnostics in dermatologyoptical coherence tomographyreflectance confocal microscopyskin cancerskin imaging

Identifiers

PMID35267448
PMCPMC8909859

What OpenQuestion holds

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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.