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A user-friendly machine learning approach for cardiac structures assessment.
Front Cardiovasc Med
July 2024
Department of Biochemistry, Faculty of Medicine, Selcuk University, Konya, Türkiye.
Background: Machine learning is increasingly being used to diagnose and treat various diseases, including cardiovascular diseases. Automatic image analysis can expedite tissue analysis and save time. However, using machine learning is limited among researchers due to the requirement of technical expertise.
View Article and Find Full Text PDF"Scleroderma" and "Scleroderma-like" Capillaroscopic Pattern-Differences and Similarities.
Curr Rheumatol Rev
May 2024
Department of Internal Medicine and Rheumatology, Justus-Liebig University Giessen, Giessen, Germany.
Introduction: The "scleroderma" type capillaroscopic pattern is a reference pattern in rheumatology that is a diagnostic sign for systemic sclerosis (SSc) in an appropriate clinical context and is observed in more than 90% of scleroderma patients. Similar microvascular changes, the so-called "scleroderma-like", have been described albeit in a lower proportion of patients with other rheumatic diseases, such as dermatomyositis (DM), undifferentiated connective tissue diseases (UCTD), systemic lupus erythematosus (SLE), etc. Three distinct stages of "scleroderma" pattern have been suggested by Cutolo .
View Article and Find Full Text PDFDescription of the characteristics of the nailfold capillary structure in healthy children: a multi-centric study.
Rheumatology (Oxford)
September 2024
Division of Pediatric Rheumatology, Dokuz Eylül University Faculty of Medicine, Izmir, Türkiye.
Article Synopsis
- Nailfold videocapillaroscopy (NVC) is used to assess microcirculation in kids and teens, aiming to establish normal patterns for different age groups from 5 to 17 years old.
- A study involving 564 healthy participants found variations in capillary characteristics related to age, such as increased capillary density and changes in diameter, particularly between the youngest (5-7 years) and older age groups (15-17 years).
- The research offers important baseline data that could help identify children with potential rheumatological conditions linked to microcirculatory issues in future studies.
Glaucoma detection using non-perfused areas in OCTA.
Sci Rep
May 2024
Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen, Nürnberg, Erlangen, Germany.
Multiple ophthalmic diseases lead to decreased capillary perfusion that can be visualized using optical coherence tomography angiography images. To quantify the decrease in perfusion, past studies have often used the vessel density, which is the percentage of vessel pixels in the image. However, this method is often not sensitive enough to detect subtle changes in early pathology.
View Article and Find Full Text PDFFlow Void Analysis Using Different Thresholding Methods on a Choriocapillaris Optical Coherence Tomography Angiography Image Complemented with a Structural En Face Image.
Korean J Ophthalmol
February 2024
Department of Ophthalmology, Korea University College of Medicine, Seoul, Korea.
Purpose: To investigate the flow characteristics using different thresholding methods on a choriocapillaris optical coherence tomography angiography (OCTA) image complemented with a structural En Face image.
Methods: The 42 choriocapillaris OCTA images from healthy subjects were obtained with swept-source OCTA device and the 3 × 3-mm area OCTA images were processed with ImageJ. Using a raw choriocapillaris OCTA image and structural En Face image, we adjusted the different structural signal intensity.
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