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Purpose: To develop imaging and consensus-based guidelines for the application of multimodal imaging in serpiginous choroiditis (SC).
Design: Consensus agreement guided by literature search, and an expert committee using a nominal group technique.
Methods: An expert committee gathered cases of noninfectious SC based on predefined informatics-driven inclusion criteria. These criteria focused primarily on high-quality imaging, including color fundus photographs (CFP), optical coherence tomography (OCT), fundus fluorescein angiography (FFA), indocyanine green angiography, and OCT angiography (OCTA). A structured nominal group technique was applied to achieve consensus-based recommendations on imaging use for specific disease characteristics, biomarkers of activity, and complications. These recommendations were further voted upon by members of the full task force.
Results: CFP and fundus autofluorescence are key imaging modalities for the diagnosis of SC. SC is characterized by amoeboid/serpentine choroiditis lesions on CFP, with hypo-autofluorescence in older inactive lesions and hyper-autofluorescence along the broad active edges. Fundus autofluorescence is the most important tool for assessing disease activity. Indocyanine green angiography findings, particularly at the leading active edge, and OCT further aid in disease characterization. Early hypofluorescence of the active edge with uniform hyperfluorescent staining in the late phase of FFA are key features that help differentiate SC from other placoid chorioretinopathies. FFA, OCT, and OCTA are useful in identifying underlying choroidal neovascularization, with OCTA being an important modality.
Conclusions: Multimodal Imaging in Uveitis imaging criteria for SC extend the Standardization of Uveitis Nomenclature classification, by providing guidelines for the use of multimodal imaging. These criteria also provide a framework for evaluation of disease activity and complications.
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http://dx.doi.org/10.1016/j.ajo.2025.05.052 | DOI Listing |
Discov Nano
September 2025
Department of Rehabilitation Medicine, Rehabilitation Medical Center, Key Laboratory of Rehabilitation Medicine in Sichuan Province, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Immunoelectron Microscopy (IEM) is a technique that combines specific immunolabeling with high-resolution electron microscopic imaging to achieve precise spatial localization of biomolecules at the subcellular scale (< 10 nm) by using high-electron-density markers such as colloidal gold and quantum dots. As a core tool for analyzing the distribution of proteins, organelle interactions, and localization of disease pathology markers, it has irreplaceable value, especially in synapse research, pathogen-host interaction mechanism, and tumor microenvironment analysis. According to the differences in labeling sequence and sample processing, the IEM technology system can be divided into two categories: the first is pre-embedding labeling, which optimizes the labeling efficiency through the pre-exposure of antigenic epitopes and is especially suitable for the detection of low-abundance and sensitive antigens; the second is post-embedding labeling, which relies on the low-temperature resin embedding (e.
View Article and Find Full Text PDFJACC Case Rep
September 2025
Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Background: Cardiac sarcoidosis (CS) usually affects the left ventricle and presents with nonspecific features like conduction abnormalities and ventricular arrhythmias. However, right ventricle (RV)-dominant involvement has been increasingly reported, making diagnosis difficult.
Case Summary: A 55-year-old man presented with palpitations.
Radiology
September 2025
Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St, Boston, MA 02115.
Despite the rapid growth of Food and Drug Administration-cleared artificial intelligence (AI)- and machine learning-enabled medical devices for use in radiology, current tools remain limited in scope, often focusing on narrow tasks and lacking the ability to comprehensively assist radiologists. These narrow AI solutions face limitations in financial sustainability, operational efficiency, and clinical utility, hindering widespread adoption and constraining their long-term value in radiology practice. Recent advances in generative and multimodal AI have expanded the scope of image interpretation, prompting discussions on the development of generalist medical AI.
View Article and Find Full Text PDFJMIR Form Res
September 2025
Department of Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, No. 106, Zhongshaner Rd, Guangzhou, 510080, China, 86 15920151904.
Background: Point-of-care ultrasonography has become a valuable tool for assessing diaphragmatic function in critically ill patients receiving invasive mechanical ventilation. However, conventional diaphragm ultrasound assessment remains highly operator-dependent and subjective. Previous research introduced automatic measurement of diaphragmatic excursion and velocity using 2D speckle-tracking technology.
View Article and Find Full Text PDFTop Magn Reson Imaging
October 2025
BIOSPACE LAB, Nesles-la-Vallée, France.
Aims: Cardiac tumors are aggressive and asymptomatic in early stages, causing late diagnosis and locoregional metastasis. Currently, the standard of care uses gadolinium-based contrast agents for MRI, and the associated hypersensitivity reactions are a significant concern, such as gadolinium deposition disease. In addition, the proximity of cardiac lesions closer to vital structures complicates surgical interventions.
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