Evidence map›Paper›PMID 37887539›Full record

ArticleCurrent oncology (Toronto, Ont.)2023

Line-Field Confocal Optical Coherence Tomography for the Diagnosis of Skin Carcinomas: Real-Life Data over Three Years.

Carolina Donelli, Mariano Suppa, Linda Tognetti, Jean Luc Perrot, Laura Calabrese, Javiera Pérez-Anker, Josep Malvehy, Pietro Rubegni, Elisa Cinotti

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. AI-assisted basal cell carcinoma diagnosis with LC-OCT: A multicentric retrospective study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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
  17. Article
  18. Review
  19. 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

9 authors at 4 institutions in 4 countries.

Carolina DonelliDepartment of Medical, Surgical and Neurological Sciences, Dermatology Section, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-4820-5999
Mariano SuppaGroupe d'Imagerie Cutanée Non Invasive (GICNI), Société Française de Dermatologie (SFD), 75008 Paris, France.
Linda TognettiDepartment of Medical, Surgical and Neurological Sciences, Dermatology Section, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-6691-4310
Jean Luc PerrotGroupe d'Imagerie Cutanée Non Invasive (GICNI), Société Française de Dermatologie (SFD), 75008 Paris, France.
Laura CalabreseDepartment of Medical, Surgical and Neurological Sciences, Dermatology Section, University of Siena, 53100 Siena, Italy.
Javiera Pérez-AnkerMelanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain.ORCID 0000-0002-6959-7250
Josep MalvehyMelanoma Unit, Dermatology Department, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, 08001 Barcelona, Spain.
Pietro RubegniDepartment of Medical, Surgical and Neurological Sciences, Dermatology Section, University of Siena, 53100 Siena, Italy.
Elisa CinottiDepartment of Medical, Surgical and Neurological Sciences, Dermatology Section, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-4009-0659
University of Siena · ITInstituto de Salud Carlos III · ESSociété Française de Cardiologie · FRUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Line-field confocal optical coherence tomography (LC-OCT) can help the clinical diagnosis of skin diseases. The present study aimed to evaluate the sensitivity, specificity, and diagnostic accuracy of LC-OCT for the diagnosis of the most frequent non-melanoma skin cancers (NMSCs), i.e., basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Comparing LC-OCT diagnostic performances with those of dermoscopy, histopathological examination was used as a gold standard. For every study endpoint, the diagnostic ability of LC-OCT revealed superiority over the dermoscopic examination. In particular, a significant increase in specificity was observed. Sensitivity, specificity, and diagnostic accuracy of dermoscopy and LC-OCT for the diagnosis of malignancy were, respectively, 0.97 (CI 0.94-0.99), 0.43 (CI 0.36-0.51), and 0.77 (CI 0.72-0.81) for dermoscopy and 0.99 (CI 0.97-1.00), 0.90 (CI 0.84-0.94), and 0.96 (CI 0.93-0.97) for LC-OCT. The positive predictive value (PPV) resulted in 0.74 (CI 0.69-0.78) for dermoscopy and 0.94 (CI 0.91-0.97) for LC-OCT, and the negative predictive value (NPV) was 0.89 (CI 0.81-0.95) for dermoscopy and 0.98 (CI 0.95-1.00) for LC-OCT. Finally, our real-life study showed a potentially important role of LC-OCT in the non-invasive diagnosis of NMSCs, especially BCC. The real-time imaging technique could spare unnecessary biopsies with an increased sensitivity, a much higher specificity, and better accuracy than clinical assessment with dermoscopy alone.

Indexed as

Basal Cell CarcinomaSkin NeoplasmsDermoscopyHumansSensitivity and SpecificityTomography, Optical Coherenceaccuracybasal cell carcinomaimagingLC-OCTnon-melanoma skin canceroptical coherence tomographysensitivityspecificitysquamous cell carcinoma

Identifiers

PMID37887539
PMCPMC10604937
OpenAlexW4387132442

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.