Future Concepts in Dermatologic Diagnosis

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 298

Special Issue Editor


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Guest Editor
Dermatology and Teledermatology Department, Maccabi Healthcare Services, Tel Aviv-Yafo, Israel
Interests: teledermatology; artificial intelligence; machine learning; ChatGPT
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Special Issue Information

Dear Colleagues,

The field of dermatology is on the brink of significant advancements driven by innovative diagnostic technologies and methodologies. This Special Issue  aims to explore the latest developments that are set to enhance how skin diseases are identified and managed. Central to this evolution are advancements in artificial intelligence (AI) and machine learning, which promise to improve diagnostic accuracy and efficiency. AI-driven tools can analyze vast amounts of dermatologic data, identifying patterns and anomalies that may be imperceptible to the human eye.

Additionally, teledermatology is expanding access to expert consultations, allowing for the remote diagnosis and management of skin conditions. The integration of high-resolution imaging and non-invasive diagnostic techniques, such as confocal microscopy, are providing deeper insights into skin pathology at a cellular level.

Furthermore, the advent of personalized medicine, driven by genetic and molecular profiling, is enabling more targeted and effective treatment plans. This Special Issue will delve into these technologies, alongside emerging trends and research, to provide a comprehensive overview of the future landscape in dermatologic diagnostics. By highlighting these innovations, we aim to inspire continued research and collaboration, ultimately improving patient outcomes in dermatology.

Dr. Jonathan Shapiro
Guest Editor

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Keywords

  • skin diseases
  • skin pathology
  • molecular profiling
  • dermatologic diagnostics

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Published Papers (1 paper)

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Research

18 pages, 1739 KiB  
Article
Dermatoscopic Patterns in Mycosis Fungoides: Observations from a Case-Series Retrospective Analysis and a Review of the Literature
by Corrado Zengarini, Federica Tugnoli, Alessio Natale, Martina Mussi, Giacomo Clarizio, Claudio Agostinelli, Elena Sabattini, Alberto Corrà, Bianca Maria Piraccini and Alessandro Pileri
Diagnostics 2025, 15(9), 1136; https://doi.org/10.3390/diagnostics15091136 - 29 Apr 2025
Abstract
Background: Dermoscopy, a non-invasive diagnostic technique, is being increasingly used to evaluate cutaneous T-cell lymphomas such as mycosis fungoides (MF) and Sézary syndrome (SS). However, its diagnostic accuracy and role in staging remain underexplored. Objective: This study aimed to assess the dermoscopic patterns [...] Read more.
Background: Dermoscopy, a non-invasive diagnostic technique, is being increasingly used to evaluate cutaneous T-cell lymphomas such as mycosis fungoides (MF) and Sézary syndrome (SS). However, its diagnostic accuracy and role in staging remain underexplored. Objective: This study aimed to assess the dermoscopic patterns in MF and SS, correlating the findings with the disease stage and lesion type to evaluate dermoscopy’s diagnostic utility. Methods: A retrospective, monocentric analysis was conducted on patients with histologically confirmed MF or SS. Dermoscopic images were evaluated for vascular patterns, pigmentation, scaling, and keratin plugs. The statistical analysis assessed the correlations between these dermoscopic features and the TNMB staging and lesion type. A literature review was also performed to contextualize the findings, focusing on studies describing dermoscopic features in MF based on retrospective, prospective, and cross-sectional data. Results: The study included 30 patients with histologically confirmed MF or SS (19 males and 11 females; mean age: 64.5 years). The dermoscopic evaluation revealed that all the lesions were pigment-free, with vascular structures as the predominant feature. Linear vessels (40%) and serpentine vessels (13.3%) were the most frequently observed, along with dotted vessels (36.7%) and clods (10%). The vessel distribution was diffuse (40%) or perifollicular (36.7%), with a predominant red (56.7%) or orange (40%) background. Scaling was present in 76.7% of cases, either diffuse (40%) or perifollicular (36.7%), and keratin plugs were detected in 40% of the lesions. No statistically significant correlations were found between dermoscopic features and the TNMB stage or lesion type (p > 0.05). A cluster analysis identified two patient groups with differing vascular and scaling features but no clear association with disease stage. The literature review identified studies that commonly reported features in MF dermoscopy, including fine, short linear vessels and an orange-yellow background, particularly in early-stage MF. Spermatozoa-like structures have been marked as highly specific for diagnosing MF. Some studies also suggested a transition in vascular morphology from linear vessels in early disease to branched vessels and ulceration in advanced stages. Conclusions: Our results showed some vascular patterns have some potential but lack sensitivity for staging MF and SS. The terminology used and the reproducibility of our results compared to those reported in the literature showed little consistency, with none of our cases showing spermatozoa-like structures. Moreover, the same issues with the use of non-reproducible terminology were noted across the studies because it is not standardized and due to different incongruent dermoscopic patterns. More significant prospective studies with standardized descriptors and larger groups are needed to refine its diagnostic and staging utility. Full article
(This article belongs to the Special Issue Future Concepts in Dermatologic Diagnosis)
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