ReviewDermatologie (Heidelberg, Germany)2025
[Digital pathology using ex vivo confocal laser scanning microscopy].
Review in Dermatologie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ex vivo confocal laser scanning microscopy (EVCM) is a novel diagnostic method for bedside use with the possibility to perform rapid dermatopathological examinations on fresh tissue, while directly creating digital pictures. The aim of this article is to provide an overview of current study results in the field of EVCM. Due to the large number of studies in dermatology, the focus is set on the diagnosis of dermatological diseases. Nonmelanocytic cancer (NMSC) is considered the most studied disease in EVCM with high potential for clinical application. In addition, more studies on other dermatological diseases, such as neoplastic, infectious and even rare dermatological diseases, have shown promising results. The potential implementation of artificial intelligence (AI) in EVCM could make bedside diagnostics even more efficient and accelerate the clinical workflow. EVCM offers a user-friendly technology that mimics dermatopathology, thus, establishing its importance as an innovative addition to conventional dermatohistopathology. In addition to technical challenges, the current lack of immunohistochemistry in EVCM remains a limitation.
Indexed as
Identifiers
39883122What OpenQuestion holds
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.