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Diagnostics
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Vitreo-Retinal Disorders: Pathophysiology and Diagnostic Imaging
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Vitreo-Retinal Disorders: Pathophysiology and Diagnostic 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 May 2024 | Viewed by 1197

Special Issue Editors

Dr. Xavier Valldeperas

E-Mail Website
Guest Editor
Department of Ophthalmology, University Hospital Germans Trias i Pujol, Badalona, Spain
Interests: retina; retinal diseases; retinal degeneration; macular degeneration; optical coherence tomography; retinal imaging; cataract surgery; vitreoretinal surgery; autofluorescence; diabetic retinopathy
Prof. Dr. Mario R. Romano

E-Mail Website
Guest Editor
Department of Biomedical Sciences, Humanitas University, Milan, Italy
Interests: retina; vitreo-retinal surgery; intraocular tamponades; gene therapy; stem cell therapy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The appearance and improvement, in recent years, of different examination techniques has revolutionized the diagnosis, treatment and follow-up procedures of most retinal pathologies. Thus, the understanding and management of retinal diseases such as diabetic retinopathy, age-related macular degeneration, retinal dystrophies, posterior uveitis, retinal vascular occlusions, etc., has been greatly modified. Diagnostic techniques such as optical coherence tomography (OCT), OCT angiography, autofluorescence, widefield color and fluorescein imaging are being implemented in the daily practice of most vitreoretinal specialists. More recently, the development of adaptive optics-assisted imaging, as well as AI technology and automated detection systems, has accelerated transformation in the field of retinal imaging.

We invite researchers to submit original research papers that explore important aspects of the pathophysiology and diagnostic imaging of different retinal diseases.

Dr. Xavier Valldeperas
Prof. Dr. Mario R. Romano
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

  • OCT
  • OCT angiography
  • artificial intelligence
  • wide-field imaging
  • retinal diseases
  • vitreoretinal interface
  • age-related macular degeneration
  • diabetic retinopathy

Published Papers (2 papers)

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Research

10 pages, 4559 KiB  
Article
Quantification of Choroidal Vascular Hyperpermeability on Ultra-Widefield Indocyanine Green Angiography in Macular Neovascularization
by Ho Ra, Younhea Jung, Seung Hoon Lee, Seo-woo Park, Jay Chhablani and Jiwon Baek
Diagnostics 2024, 14(7), 754; https://doi.org/10.3390/diagnostics14070754 - 02 Apr 2024
Viewed by 435
Abstract
To obtain a quantitative parameter for the measurement of choroidal vascular hyperpermeability (CVH) on ultra-widefield indocyanine green angiography (UWICGA) using an objective analysis method in macular choroidal neovascularization (CNV). A total of 113 UWICGA images from 113 subjects were obtained, including with 25 [...] Read more.
To obtain a quantitative parameter for the measurement of choroidal vascular hyperpermeability (CVH) on ultra-widefield indocyanine green angiography (UWICGA) using an objective analysis method in macular choroidal neovascularization (CNV). A total of 113 UWICGA images from 113 subjects were obtained, including with 25 neovascular age-related macular degeneration (nAMD), 37 with polypoidal choroidal vasculopathy (PCV) (19 with thin-choroid and 18 with thick-choroid), 33 with pachychoroid neovasculopathy (PNV), and 18 age-matched controls. CVH was quantified on a gray image by the subtraction of 2 synchronized UWICGA images of early and late phases. The measured CVH parameter was compared with human graders and among CNV subtypes and correlated with choroidal vascular density (CVD) and subfoveal choroidal thickness (SFCT). The mean CVH values were 28.58 ± 4.97, 33.36 ± 8.40, 33.61 ± 11.50, 42.19 ± 13.25, and 43.59 ± 7.86 in controls and patients with nAMD, thin-choroid PCV, thick-choroid PCV, and PNV, respectively (p < 0.001). CVH was higher in thick-choroid PCV and PNV compared to the other groups (all p ≤ 0.006). The measured CVH value positively correlated with those reported by human graders (p < 0.001), CVD, and SFCT (p = 0.001 and p < 0.001, respectively). CVH can be measured objectively using quantitative UWICGA analysis. The CVH parameter differs among macular CNV subtypes and correlates with CVD and SFCT. Full article
(This article belongs to the Special Issue Vitreo-Retinal Disorders: Pathophysiology and Diagnostic Imaging)
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15 pages, 3393 KiB  
Article
Quantitative Microvascular Change Analysis Using a Semi-Automated Algorithm in Macula-on Rhegmatogenous Retinal Detachment Assessed by Swept-Source Optical Coherence Tomography Angiography
by Pablo Díaz-Aljaro, Xavier Valldeperas, Laura Broc-Iturralde, Nevena Romanic-Bubalo, Ignacio Díaz-Aljaro, Zhongdi Chu, Ruikang K. Wang and Javier Zarranz-Ventura
Diagnostics 2024, 14(7), 750; https://doi.org/10.3390/diagnostics14070750 - 01 Apr 2024
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Abstract
Purpose: The purpose of this study was to objectively evaluate the longitudinal changes observed in the retinal capillaries in eyes with macula-on rhegmatogenous retinal detachment (RRD), assessed with optical coherence tomography angiography (OCTA), and to assess the role of these microvascular measures as [...] Read more.
Purpose: The purpose of this study was to objectively evaluate the longitudinal changes observed in the retinal capillaries in eyes with macula-on rhegmatogenous retinal detachment (RRD), assessed with optical coherence tomography angiography (OCTA), and to assess the role of these microvascular measures as potential biomarkers of postoperative visual outcomes. Methods: This was a prospective, longitudinal study conducted on consecutive patients who underwent 25 G pars plana vitrectomy for primary RRD. The vessel area density (VAD), vessel skeleton density (VSD), and vessel diameter index (VDI) were assessed in the superficial (SCP) and deep (DCP) capillary plexuses. Results: Twenty-three eyes with macula-on RRD were included in the study. The mean preoperative VDI, VAD, and VSD of the RRD eye were 18.6 ± 1.1, 0.43 ± 0.02, and 0.17 ± 0.01 in the SCP; and 18.6 ± 0.6, 0.38 ± 0.03, and 0.15 ± 0.01 in the DCP, respectively. At month 6, eight (34.8%) eyes achieved a best-corrected visual acuity (BCVA) gain ≥ 0.1 LogMAR. A preoperative VDI > 17.80, VSD > 0.170, and VDI-change > −0.395 in the SCP; and VDI > 18.11 and VDI change > −0.039 in the DCP were predictors of achieving a BCVA-gain ≥ 0.1 LogMAR. Conclusions: The preoperative VDI in SCP and DCP, the preoperative VSD in SCP, and their changes from preoperative values were predictors of visual outcomes. A quantitative OCTA analysis of capillary density and morphology may represent a potential predictive tool for surgical outcomes in RRD. The results reported in this study suggest that OCTA is a useful ancillary test for clinical disease management. Full article
(This article belongs to the Special Issue Vitreo-Retinal Disorders: Pathophysiology and Diagnostic Imaging)
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