Introduction: Paracentral acute middle maculopathy (PAMM) is a tomographic finding of a retinal occlusive vascular disorders with different aetiologies. Despite the well documented triple association among hyper-homocysteine, retinal vein occlusion and PAMM, up to date no reports exist on the development of PAMM in young patients affected by ulcerative colitis (UC).
Case Description: A multimodal imaging study, including fundus photographs, optical coherence tomography (OCT) B-scans, OCT angiography (OCT-A) and fluorescein and indocyanine green angiography, was performed in a 32-years-old male complaining of acute-onset paracentral scotoma in the right eye. Fundus images demonstrated the typical dark gray area of retinal capillary ischemia, corresponding on OCT B-scans to the hyper-reflective plaques in the INL, and consistent with PAMM lesions.The deep capillary plexus (DCP) was normal on OCT-A. Fluorescein angiography revealed a concurrent branch retinal vein preocclusion and showed capillary drop out parafoveally. Patient's anamnesis was negative except for a 15-years history of UC and use of acetylsalicylic acid (ASS). At the time of presentation, UC was quiescent, but new blood tests revealed concomitant high values of homocysteinemia requiring oral vitamin B12 and folate supplementation. Two months later PAMM lesions had disappeared on OCT B-scans and a retinal thinning at the level of the inner nuclear layer (INL) was visible. The DCP on OCT-A remained unchanged without any sign of capillary ischemia.
Conclusions: Although no definitive evidence directly links UC with PAMM, the latter should be suspected in young patients affected by IBD with coexisting hyper-homocysteinemia and unexplained visual symptoms.
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http://dx.doi.org/10.1177/1120672120962042 | DOI Listing |
Transl Vis Sci Technol
December 2024
Department of Ophthalmology, The Second People's Hospital of Foshan, Foshan, China.
Purpose: Accurate diagnosis of retinal disease based on optical coherence tomography (OCT) requires scrutiny of both B-scan and en face images. The aim of this study was to investigate the effectiveness of fusing en face and B-scan images for better diagnostic performance of deep learning models.
Methods: A multiview fusion network (MVFN) with a decision fusion module to integrate fast-axis and slow-axis B-scans and en face information was proposed and compared with five state-of-the-art methods: a model using B-scans, a model using en face imaging, a model using three-dimensional volume, and two other relevant methods.
Transl Vis Sci Technol
December 2024
Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands.
Purpose: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from different devices are not interchangeable. This poses challenges to patient follow-up and collaborative studies. Here, we present a device-agnostic method for the extraction of OCT biomarkers using artificial intelligence.
View Article and Find Full Text PDFOphthalmol Sci
August 2024
Department of Ophthalmology, UW Medicine, Seattle, Washington.
Purpose: Although structural OCT is traditionally used to differentiate the vascular plexus layers in OCT angiography (OCTA), the vascular plexuses do not always obey the retinal laminations. We sought to segment the superficial, deep, and avascular plexuses from OCTA images using deep learning without structural OCT image input or segmentation boundaries.
Design: Cross-sectional study.
Eur J Ophthalmol
November 2024
Institute of Ophthalmology, Liaquat University of Medical and Health Sciences, Jamshoro, Sindh, Pakistan.
Background: The aim of the study is to utilize swept-source OCT for imaging the rear sclera near the ONH, calculating the thickness of the SL and lamina, and examining how these measurements correspond to various metrics.
Design: Cross-sectional design with a prospective approach.
Materials And Methods: The study included 96 glaucoma patients and 39 control subjects, all with axial lengths greater than 23 mm.
The detection of latent fingerprints plays a crucial role in criminal investigations and biometrics. However, conventional techniques are limited by their lack of depth-resolved imaging, extensive area coverage, and autonomous fingerprint detection capabilities. This study introduces an object-driven optical coherence tomography (OD-OCT) to achieve rapid, autonomous and ultra-large-area detection of latent fingerprints.
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