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Kiryushchenkova N.P.

Krasnov Research Institute of Eye Diseases

Non-invasive automated methods for the diagnosis of periorbital skin tumors

Authors:

Kiryushchenkova N.P.

More about the authors

Journal: Russian Annals of Ophthalmology. 2024;140(5): 137‑145

DOI: 10.17116/oftalma2024140051137

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Table of contents

NON-INVASIVE AUTOMATED METHODS FOR THE DIAGNOSIS OF PERIORBITAL SKIN TUMORS
NON-INVASIVE AUTOMATED METHODS FOR THE DIAGNOSIS OF PERIORBITAL SKIN TUMORS

To cite this article:

Kiryushchenkova NP. Non-invasive automated methods for the diagnosis of periorbital skin tumors. Russian Annals of Ophthalmology. 2024;140(5):137‑145. (In Russ.)
https://doi.org/10.17116/oftalma2024140051137

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Malignant skin tumors are the most common type of cancer in both Russia and globally. Malignant skin tumors located in the periorbital region, particularly basal cell carcinoma, pose a significant threat to the visual organ due to the high risk of local invasion, highlighting the need for early diagnosis and timely treatment. This review discusses the main methods of non-invasive instrumental diagnosis of skin tumors in the periorbital region. Key stages in the development of these methods are briefly outlined, and their most significant advantages and disadvantages are noted. The article also considers the automation of diagnostic studies, and potential challenges with its practical implementation.

Keywords:

skin tumors
periorbital region
nevus
melanoma
basal cell carcinoma
squamous cell carcinoma
dermoscopy
spectroscopy
fluorescence diagnostics
confocal microscopy
optical coherence tomography
ultrasonography

Authors:

Kiryushchenkova N.P.

Krasnov Research Institute of Eye Diseases

Received:

28.07.2023

Accepted:

03.06.2024

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