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Diagnostics
Special Issues
Latest Advances in Ophthalmic Imaging
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Latest Advances in Ophthalmic Imaging

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

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1627

Special Issue Editors

Dr. Slawomir Teper

E-Mail Website
Guest Editor
Ophthalmology Clinic, Railway Hospital Katowice, II School of Medicine with the Division of Dentistry in Zabrze, Silesian Medical University, Katowice, Poland
Interests: diabetic macular edema
Special Issues, Collections and Topics in MDPI journals
Dr. Gawęcki Maciej

E-Mail Website
Guest Editor
Dobry Wzrok Ophthalmological Clinic, Zabi Kruk 10, 80-822 Gdansk, Poland
Interests: medical retina; OCT-angiography; fluorescein angiography; subthreshold retinal laser treatment; central serous chorioretinopathy; cataract surgery; strabismus surgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The manuscripts featured in this Special Issue explore the latest advancements in diagnostic modalities, including high-resolution optical coherence tomography (OCT), adaptive optics imaging, and multimodal imaging systems. The application of these techniques in the early detection and management of ophthalmic diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration, will be discussed in depth. Furthermore, the role of artificial intelligence and machine learning in image analysis and diagnosis will also be explored, outlining their potential to revolutionize patient care. These advancements in ophthalmic imaging are poised to transform our understanding of ocular diseases, enabling more precise diagnosis and personalized treatment plans for patients.

Dr. Slawomir Teper
Dr. Gawęcki Maciej
Guest Editors

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 short 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. Diagnostics 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 2600 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

  • optical coherence tomography (OCT)
  • adaptive optics imaging
  • fundus photography
  • multimodal imaging
  • artificial intelligence (AI) in ophthalmic imaging

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

Published Papers (2 papers)

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11 pages, 2064 KiB  
Article
Optical Coherence Tomography Image Enhancement and Layer Detection Using Cycle-GAN
by Ye Eun Kim, Eun Ji Lee, Jung Suk Yoon, Jiyoon Kwak and Hyunjoong Kim
Diagnostics 2025, 15(3), 277; https://doi.org/10.3390/diagnostics15030277 - 24 Jan 2025
Viewed by 696
Abstract
Background/Objectives: Variations in image clarity across different OCT devices, along with the inconsistent delineation of RNFL boundaries, pose a challenge to achieving consistent diagnoses for glaucoma. Recently, deep learning methods such as GANs for image transformation have been gaining attention. This paper introduces [...] Read more.
Background/Objectives: Variations in image clarity across different OCT devices, along with the inconsistent delineation of RNFL boundaries, pose a challenge to achieving consistent diagnoses for glaucoma. Recently, deep learning methods such as GANs for image transformation have been gaining attention. This paper introduces deep learning methods to transform low-clarity images from one OCT device into high-clarity images from another, concurrently estimating the retinal nerve fiber layer (RNFL) segmentation lines in the enhanced images. Methods: We applied two deep learning methods, pix2pix and cycle-GAN, and provided a comparison of their performance by evaluating the similarity between the generated and actual images, as well as comparing the generated RNFL boundary delineation with the actual boundaries. Results: The image conversion performance was compared based on two criteria: Fréchet Inception Distance (FID) and curve dissimilarity. In the comparison of FID values, the cycle-GAN method showed significantly lower values than the pix2pix method (p-value < 0.001). In terms of curve similarity, the cycle-GAN method also demonstrated higher similarity to the actual curves compared to both manually annotated curves and the pix2pix method (p-value < 0.001). Conclusions: We demonstrated that the cycle-GAN method produces more consistent and precise outcomes in the converted images compared to the pix2pix method. The resulting segmented lines showed a high degree of similarity to those manually annotated by clinical experts in high-clarity images, surpassing the boundary accuracy observed in the original low-clarity scans. Full article
(This article belongs to the Special Issue Latest Advances in Ophthalmic Imaging)
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8 pages, 1056 KiB  
Case Report
Presumed Bilateral Ciliary Body Medulloepithelioma in a Child with Pleuropulmonary Blastoma and DICER1 Mutation
by Małgorzata Danowska, Anna Rogowska, Krzysztof Cieślik, Joanna Jędrzejczak-Młodziejewska, Klaudia Rakusiewicz-Krasnodębska and Wojciech Hautz
Diagnostics 2025, 15(6), 694; https://doi.org/10.3390/diagnostics15060694 - 11 Mar 2025
Viewed by 458
Abstract
Background and clinical significance: Ciliary body medulloepithelioma (CBME) is a rare germinal tumor deriving from nonpigmented ciliary epithelium, usually occurring during the first decade of life. Typically, the diagnosis is delayed as a result of the tumor’s slow growth and late onset [...] Read more.
Background and clinical significance: Ciliary body medulloepithelioma (CBME) is a rare germinal tumor deriving from nonpigmented ciliary epithelium, usually occurring during the first decade of life. Typically, the diagnosis is delayed as a result of the tumor’s slow growth and late onset of symptoms. Primary enucleation is commonly required; nevertheless, globe-sparing means of therapy have been successful in selected cases. CBME is among the spectrum of neoplasms associated with DICER1 cancer predisposition syndrome. Case presentation: Herein, we report a case of a 6-year-old boy with a history of pleuropulmonary blastoma type II and DICER1 mutation who presented with leukocoria in his right eye. After a thorough ophthalmological evaluation, he was diagnosed with CBME. Because of the large size of the lesion and vitreous seeding, the eye was enucleated. Histopathology confirmed the diagnosis of a benign teratoid medulloepithelioma. After 2 years of regular ophthalmological examinations, a new lesion was detected in the left eye. Three cycles of transscleral cryotherapy allowed for tumor control and globe salvage. The patient remains recurrence-free 6 months after the last treatment. Conclusions: This report should raise awareness among clinicians about the possibility of bilateral CBME and the necessity of regular ophthalmological screening in patients with DICER1 syndrome, especially those previously treated for CBME. Full article
(This article belongs to the Special Issue Latest Advances in Ophthalmic Imaging)
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