Innovations in Dermatologic Diagnostics: Integrating Dermoscopy, Imaging, and Non-Surgical Therapies

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Biomedical Optics".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 881

Special Issue Editors

Special Issue Information

Dear Colleagues,

The following Special Issue, "Innovations in Dermatologic Diagnostics: Integrating Dermoscopy, Imaging, and Non-Surgical Therapies", explores the transformative role of non-invasive diagnostic technologies in modern dermatology. It highlights cutting-edge advancements in dermoscopy, novel imaging modalities, and their integration with non-surgical treatments to enhance the accuracy of skin lesion evaluation—from early cancer detection to the management of benign and malignant conditions.

By bridging diagnostic innovation with therapeutic decision-making, this Special Issue showcases how multidisciplinary approaches are reshaping clinical practice. We welcome original research, reviews, and case studies that address emerging imaging technologies, artificial intelligence applications, and optimized treatment pathways—ultimately aiming to improve patient outcomes and redefine standards of care in dermatologic diagnostics.

Dr. Carmen Cantisani
Dr. Norbert Kiss
Guest Editors

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Keywords

  • dermoscopy
  • clinical impact and innovation
  • diagnostic
  • prognosis
  • markers
  • imaging

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Published Papers (1 paper)

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Research

19 pages, 8611 KB  
Article
Co-Localized Dermoscopy and LC-OCT for AI-Assisted Margin Assessment of Basal Cell Carcinoma: Development of a “BCC-One-Stop-Shop” Workflow
by Marco Mozaffari, Clara Tavernier, Jonas Ogien, Pierre Godet, Kristina Fünfer, Hanna Wirsching, Maximilian Deußing, Elke Sattler, Julia Welzel and Sandra Schuh
Diagnostics 2026, 16(5), 750; https://doi.org/10.3390/diagnostics16050750 - 3 Mar 2026
Viewed by 392
Abstract
Background/Objectives: The surgical treatment of basal cell carcinoma (BCC) remains challenging due to the time-consuming, expensive and invasive nature of Mohs micrographic surgery. The objective is to develop a standardized protocol for managing diagnosis, surgery, and margin control within a single patient [...] Read more.
Background/Objectives: The surgical treatment of basal cell carcinoma (BCC) remains challenging due to the time-consuming, expensive and invasive nature of Mohs micrographic surgery. The objective is to develop a standardized protocol for managing diagnosis, surgery, and margin control within a single patient visit. Methods: Several protocols were tested to establish a “BCC-One-Stop-Shop”, combining in vivo and ex vivo margin mapping of BCC, pre- and postoperatively using Line-field confocal optical coherence tomography (LC-OCT). We introduce an algorithm enabling real-time localization of LC-OCT acquisitions on a previously acquired dermoscopy image. Additionally, an artificial intelligence model provides a BCC probability score based on LC-OCT images. Together, the co-localization algorithm and AI BCC model generate a color-coded visualization of the tumor within the dermoscopy image, allowing precise pre-operative in vivo margin assessment. Results: We found our protocol, the implementation of the co-localization tool and the AI model, to be quick to apply, easy to learn and helpful regarding the initial determination of BCC tumor margins. Patients responded positively to the recognizable visualization of the disease. Conclusions: Pre- and postoperative margin mapping using LC-OCT imaging appears to be effective and feasible and could reduce time, costs, resources, excision sizes and patient burden by sparing additional excision steps in micrographic surgery. The integration of real-time co-localization and the AI-calculated probability score represent meaningful and practical enhancements for routine clinical use. To further evaluate the efficacy and safety of the BCC-One-Stop-Shop-Method and the newly introduced device features, larger-scale studies are warranted and are currently being conducted. Full article
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