Non-invasive Diagnosis of Skin Diseases

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

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 4996

Special Issue Editor

Department of Dermatology, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Interests: non-invasive diagnosis; skin tumors; inflammatory skin diseases; skin infestations
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

The non-invasive diagnosis of skin disease is a rapidly growing field of medical research. The emergent diagnostic devices that allow for in vivo and ex vivo tissue imaging are constantly improving patient management in a true bench-to-bedside approach. These technologies have now become faster and more accurate than ever before. Devices are growing smaller and more user-friendly, and complementary imaging technologies have started to be integrated together into imaging platforms capable of addressing multiple skin evaluation needs. Moreover, since the development of such technologies, the beneficial role of artificial intelligence (AI) in assisting the physician in the non-invasive diagnostic process is also becoming more evident. Even though many studies have addressed the physiologic and pathologic processes of the skin, the intricate mechanisms of inflammatory and neoplastic skin diseases are yet to be fully elucidated and demonstrated. In addition to the study of skin diseases, the quantification of the natural skin aging process and its improvement through several therapeutic procedures is still in its infancy. The present Special Issue is aimed at increasing our knowledge of the various physiological and pathological skin processes through novel, non-invasive skin imaging techniques which are currently available or under development. This represents an opportunity to expand our comprehension of both skin diseases and these new technologies, which will surely become more and more relevant for current clinical practice.

Dr. Mihai Lupu
Guest Editor

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Keywords

  • non-invasive diagnosis
  • optical coherence tomography
  • reflectance confocal microscopy
  • RCM-OCT imaging
  • multiphoton microscopy
  • skin tumors
  • inflammatory skin diseases
  • skin infestations
  • acne
  • aging

Published Papers (2 papers)

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Research

17 pages, 5201 KiB  
Article
The CSIESA: A Novel Score for the Assessment of Intrinsic and Extrinsic Skin Aging Based on Reflectance Confocal Microscopy Imaging
by Mihai Lupu, Ana Maria Malciu, Elena Codruta Cozma, Madalina Laura Banciu and Vlad Mihai Voiculescu
Diagnostics 2022, 12(12), 3161; https://doi.org/10.3390/diagnostics12123161 - 14 Dec 2022
Cited by 1 | Viewed by 1284
Abstract
Skin aging is an intricate physiological process governed by intrinsic and extrinsic factors. Increasing life expectancy has turned skin aging into a growing concern for the general population. Clinical examination of the skin does not fully describe the skin aging process. This study [...] Read more.
Skin aging is an intricate physiological process governed by intrinsic and extrinsic factors. Increasing life expectancy has turned skin aging into a growing concern for the general population. Clinical examination of the skin does not fully describe the skin aging process. This study aims to evaluate the healthy skin of five different age groups in order to develop an easy-to-use confocal score for quantifying signs of skin aging and test the correlation between this new score and the already described clinical score, SCINEXA (score of intrinsic and extrinsic skin aging). Thirty-five subjects split into five age groups: <35; 36–45; 46–55; 56–65, and >65 years old were enrolled. Clinical signs were quantified using the SCINEXA score, and known confocal variables of skin aging were evaluated. Three different semi-quantitative scores were calculated: epidermal disarrangement score (EDS), epidermal hyperplasia score (EHS), and dermal score (DS). The EDS showed a stable trend up to the age of 65 and a dramatic increase in older subjects. EHS was characterized by an ascending trend from younger subjects to middle-aged ones. The DS was progressive with age, with a different proportion of distinct collagen types. The confocal CSIESA (confocal score for the assessment of intrinsic and extrinsic skin aging) score correlated well with the SCINEXA score. Reflectance confocal microscopy is a powerful, non-invasive technique for microscopically quantifying aging signs. Full article
(This article belongs to the Special Issue Non-invasive Diagnosis of Skin Diseases)
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17 pages, 11325 KiB  
Article
Early Detection of Skin Disorders and Diseases Using Radiometry
by Amani Yousef Owda and Majdi Owda
Diagnostics 2022, 12(9), 2117; https://doi.org/10.3390/diagnostics12092117 - 31 Aug 2022
Cited by 2 | Viewed by 2860
Abstract
Skin diseases and disorders have a significant impact on people’s health and quality of life. Current medical practice suggests different methodologies for detecting and diagnosing skin diseases and conditions. Most of these require medical tests, laboratory analyses, images, and healthcare professionals to assess [...] Read more.
Skin diseases and disorders have a significant impact on people’s health and quality of life. Current medical practice suggests different methodologies for detecting and diagnosing skin diseases and conditions. Most of these require medical tests, laboratory analyses, images, and healthcare professionals to assess the results. This consumes time, money, and effort, and the waiting time is stressful for the patient. Therefore, it is an essential requirement to develop a new automatic method for the non-invasive diagnosis of skin diseases and disorders without the need for healthcare professionals or being in a medical clinic. This research proposes millimeter-wave (MMW) radiometry as a non-contact sensor for the non-invasive diagnosis of skin diseases and conditions. Reflectance measurements performed using 90 GHz radiometry were conducted on two samples of participants; sample 1 consisted of 60 participants (30 males and 30 females) with healthy skin, and sample 2 contained 60 participants (30 males and 30 females) suffering from skin diseases and conditions, which were: basal cell carcinoma (BCC), squamous cell carcinoma (SCC), burn wounds, and eczema. Radiometric measurements show substantial differences in reflectance in the range of 0.02–0.27 between healthy and unhealthy regions of the skin on the same person. These results indicate that radiometry, as a non-contact sensor, can identify and distinguish between healthy and diseased regions of the skin. This indicates the potential of using radiometry as a non-invasive technique for the early detection of skin diseases and disorders. Full article
(This article belongs to the Special Issue Non-invasive Diagnosis of Skin Diseases)
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