ArticleJournal of the European Academy of Dermatology and Venereology : JEADV2023
In vivo reflectance confocal microscopy can detect the invasive component of lentigo maligna melanoma: Prospective analysis and case-control study.
Article in Journal of the European Academy of Dermatology and Venereology : JEADV, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- International Dermoscopy Society consensus recommendations for the management of lentigo maligna.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026Review
- Reflectance confocal microscopy in the management of lentigo maligna and lentigo maligna melanoma: a systematic review.JPRAS open · 2026Review
- A Clinical Perspective on Melanoma Overdiagnosis.The Australasian journal of dermatology · 2025Review
- Successful implementation of handheld reflectance confocal microscopy as the standard of care in the (surgical) management of lentigo maligna (melanoma).Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Article
- Reflectance confocal microscopy: Presurgical margin assessment improves lentigo maligna and lentigo maligna melanoma management.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Article
- In vivo reflectance confocal microscopy can detect the invasive component of lentigo maligna melanoma: Prospective analysis and case-control study.Journal of the European Academy of Dermatology and Venereology : JEADV · 2023Article
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundLentigo maligna (LM), a form of melanoma in situ, has no risk of causing metastasis unless dermal invasive melanoma (LMM) supervenes. Furthermore, the detection of invasion impacts prognosis and management.
objectiveTo assess the accuracy of RCM for the detection of invasion component on LM/LMM lesions.
methodsIn the initial case-control study, the performance of one expert in detecting LMM at the time of initial RCM assessment of LM/LMM lesions was recorded prospectively (n = 229). The cases were assessed on RCM-histopathology correlation sessions and a panel with nine RCM features was proposed to identify LMM, which was subsequently tested in a subset of initial cohort (n = 93) in the matched case-control study by two blinded observers. Univariable and multivariable logistic regression models were performed to evaluate RCM features predictive of LMM. Reproducibility of assessment of the nine RCM features was also evaluated.
resultsA total of 229 LM/LMM cases evaluated by histopathology were assessed blindly and prospectively by an expert confocalist. On histopathology, 210 were LM and 19 were LMM cases. Correct identification of an invasive component was achieved for 17 of 19 LMM cases (89%) and the absence of a dermal component was correctly diagnosed in 190 of 210 LM cases (90%). In the matched case-control (LMM n = 35, LM n = 58), epidermal and junctional disarray, large size of melanocytes and nests of melanocytes were independent predictors of LMM on multivariate analysis. The interobserver analysis demonstrated that these three features had a fair reproducibility between the two investigators (K = 0.4). The multivariable model including those three features showed a high predictive performance AUC = 74% (CI 95% 64-85%), with sensitivity of 63% (95% CI 52-78%) and specificity of 79% (CI 95% 74-88%), and likelihood ratio of 18 (p-value 0.0026).
conclusionThree RCM features were predictive for identifying invasive melanoma in the background of LM.
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