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Cancers
Special Issues
Skin Cancer: Imaging and Radiotherapy
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Skin Cancer: Imaging and Radiotherapy

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 7976

Special Issue Editor

Dr. Fabio Sandomenico

E-Mail Website
Guest Editor
Radiology Unit, Buon Consiglio Fatebenefratelli Hospital, 80123 Naples, Italy
Interests: oncologic imaging; CT; ultrasound; MRI; melanoma; cancer immunotherapy; head and neck cancer; sarcoma; soft tissue tumors; thyroid cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue focused on imaging technology and radiotherapy.

Skin cancer is the most common human cancer. Over the past four decades, due to the development of imaging, the diagnostic accuracy of non-melanocytic and melanocytic skin cancers has been enhanced. More and more new devices and technologies are beginning to appear, and advances in cancer diagnosis have greatly improved patients’ survival chances.

Additionally, advancements in medical imaging have been critical to the evolution of modern radiotherapy. Radiation therapy is an essential treatment option for cancer treatment and one of the most effective therapies to cure cancer, especially for non-melanoma skin cancer. It also can be delivered in combination with other treatments, which further increases the cure rate for radiation-treated patients.

We eagerly anticipate receiving your valuable contributions to this Special Issue. Your expertise and insights will undoubtedly enrich the content and impact of this publication.

We look forward to your participation.

Dr. Fabio Sandomenico
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • skin cancer
  • imaging technology
  • radiotherapy
  • cancer diagnosis
  • medical imaging

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

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20 pages, 7209 KiB  
Article
DM–AHR: A Self-Supervised Conditional Diffusion Model for AI-Generated Hairless Imaging for Enhanced Skin Diagnosis Applications
by Bilel Benjdira, Anas M. Ali, Anis Koubaa, Adel Ammar and Wadii Boulila
Cancers 2024, 16(17), 2947; https://doi.org/10.3390/cancers16172947 - 23 Aug 2024
Cited by 1 | Viewed by 1606
Abstract
Accurate skin diagnosis through end-user applications is important for early detection and cure of severe skin diseases. However, the low quality of dermoscopic images hampers this mission, especially with the presence of hair on these kinds of images. This paper introduces DM–AHR, [...] Read more.
Accurate skin diagnosis through end-user applications is important for early detection and cure of severe skin diseases. However, the low quality of dermoscopic images hampers this mission, especially with the presence of hair on these kinds of images. This paper introduces DM–AHR, a novel, self-supervised conditional diffusion model designed specifically for the automatic generation of hairless dermoscopic images to improve the quality of skin diagnosis applications. The current research contributes in three significant ways to the field of dermatologic imaging. First, we develop a customized diffusion model that adeptly differentiates between hair and skin features. Second, we pioneer a novel self-supervised learning strategy that is specifically tailored to optimize performance for hairless imaging. Third, we introduce a new dataset, named DERMAHAIR (DERMatologic Automatic HAIR Removal Dataset), that is designed to advance and benchmark research in this specialized domain. These contributions significantly enhance the clarity of dermoscopic images, improving the accuracy of skin diagnosis procedures. We elaborate on the architecture of DM–AHR and demonstrate its effective performance in removing hair while preserving critical details of skin lesions. Our results show an enhancement in the accuracy of skin lesion analysis when compared to existing techniques. Given its robust performance, DM–AHR holds considerable promise for broader application in medical image enhancement. Full article
(This article belongs to the Special Issue Skin Cancer: Imaging and Radiotherapy)
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Review

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16 pages, 5340 KiB  
Review
Ultrasound in Skin Cancer: Why, How, and When to Use It?
by Ximena Wortsman
Cancers 2024, 16(19), 3301; https://doi.org/10.3390/cancers16193301 - 27 Sep 2024
Cited by 2 | Viewed by 2791
Abstract
Background: Skin cancer is the most common cancer in human beings. Ultrasound is a powerful and non-invasive imaging technique that has expanded its use in dermatology, including in the skin cancer field. The full range of critical anatomical information provided by ultrasound cannot [...] Read more.
Background: Skin cancer is the most common cancer in human beings. Ultrasound is a powerful and non-invasive imaging technique that has expanded its use in dermatology, including in the skin cancer field. The full range of critical anatomical information provided by ultrasound cannot be deduced from a naked eye examination, palpation, or other imaging techniques such as dermoscopy, confocal microscopy, magnetic resonance imaging, or PET-CT (Positron Emission Tomography-Computed Tomography). Methods: This review practically analyzes the main ultrasonographic features of the most common types of skin cancers and the performance of the locoregional staging according to the literature, which is illustrated by state-of-the-art clinical and ultrasonographic correlations. Results: The most common types of skin cancer show recognizable ultrasonographic patterns. Conclusions: Among the current radiological imaging techniques, ultrasound has the highest axial spatial resolution. Compared to other imaging techniques used in dermatology, it shows the great advantage of penetrating the soft tissues thoroughly, which allows us to detect and identify the most common skin types of skin cancer, including both the primary tumor and its locoregional metastases. Full article
(This article belongs to the Special Issue Skin Cancer: Imaging and Radiotherapy)
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15 pages, 6942 KiB  
Review
Cutaneous Squamous Cell Carcinoma: From Diagnosis to Follow-Up
by Rosita Comune, Angelo Ruggiero, Antonio Portarapillo, Alessia Villani, Matteo Megna, Stefania Tamburrini, Salvatore Masala, Giacomo Sica, Fabio Sandomenico, Chandra Bortolotto, Lorenzo Preda and Mariano Scaglione
Cancers 2024, 16(17), 2960; https://doi.org/10.3390/cancers16172960 - 25 Aug 2024
Cited by 2 | Viewed by 2992
Abstract
Cutaneous squamous cell carcinoma (SCC) is the second most frequent skin cancer, accounting for approximately 20% of all cutaneous malignancies, and with an increasing incidence due to the progressive increment of the average age of life. The diagnosis is usually firstly suspected based [...] Read more.
Cutaneous squamous cell carcinoma (SCC) is the second most frequent skin cancer, accounting for approximately 20% of all cutaneous malignancies, and with an increasing incidence due to the progressive increment of the average age of life. The diagnosis is usually firstly suspected based on clinical manifestations; however, dermoscopic features may improve diagnostic sensitivity in cases of an uncertain diagnosis and may guide the biopsy, which should be performed to histopathologically prove the tumor. New diagnostic strategies may improve the sensitivity of the cutaneous SCC, such as reflectance confocal microscopy and line-field confocal optical coherence, for which increasing data have been recently published. Imaging has a central role in the staging of the diseases, while its exact role, as well as the choice of the best techniques, during the follow-up are not fully clarified. The aim of this literature review is to describe diagnostic clinical and instrumental tools of cutaneous SCC, with an insight into the role of imaging in the diagnosis and follow-up of cutaneous SCC. Full article
(This article belongs to the Special Issue Skin Cancer: Imaging and Radiotherapy)
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