Purpose: Accurate histological diagnosis in Hirschsprung disease (HD) is challenging, due to its complexity and potential for errors. In this study, we present an artificial intelligence (AI)-based method designed to identify ganglionic cells and hypertrophic nerves in HD histology.
Methods: Formalin-fixed samples were used and an expert pathologist and a surgeon annotated these slides on a web-based platform, identifying ganglionic cells and nerves. Images were partitioned into square sections, augmented through data manipulation techniques and used to develop two distinct U-net models: one for detecting ganglionic cells and normal nerves; the other to recognise hypertrophic nerves.
Results: The study included 108 annotated samples, resulting in 19,600 images after data augmentation and manually segmentation. Subsequently, 17,655 slides without target elements were excluded. The algorithm was trained using 1945 slides (930 for model 1 and 1015 for model 2) with 1556 slides used for training the supervised network and 389 for validation. The accuracy of model 1 was found to be 92.32%, while model 2 achieved an accuracy of 91.5%.
Conclusion: The AI-based U-net technique demonstrates robustness in detecting ganglion cells and nerves in HD. The deep learning approach has the potential to standardise and streamline HD diagnosis, benefiting patients and aiding in training of pathologists.
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http://dx.doi.org/10.1007/s00383-023-05590-z | DOI Listing |
Z Prakt Augenheilkd Augenarztl Fortbild
July 2023
Max-Planck-Institut für biologische Kybernetik, Tübingen.
In addition to the rods and cones, the melanopsin-containing intrinsically photosensitive retinal ganglion cells (ipRGC) are responsible for encoding ambient illumination conditions. The main task of the ipRGC is to signal information about illumination to the brain. Via the retinohypothalamic pathway, light synchronises our internal biological clock and sets it to follow the environment's light-dark cycle.
View Article and Find Full Text PDFEur J Neurol
January 2025
Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine Berlin and Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Background: Hyperreflective retinal foci (HRF) visualized by optical coherence tomography (OCT) potentially represent clusters of microglia. We compared HRF frequencies and their association with retinal neurodegeneration between people with clinically isolated syndrome (pwCIS), multiple sclerosis (pwMS), aquaporin 4-IgG positive neuromyelitis optica spectrum disorder (pwNMOSD), and healthy controls (HC)-as well as between eyes with (ONeyes) and without a history of optic neuritis (ONeyes).
Methods: Cross-sectional data of pwCIS, pwMS, and pwNMOSD with previous ON and HC were acquired at Charité-Universitätsmedizin Berlin.
PLoS One
January 2025
Department of Ophthalmology, Keck School of Medicine, USC Roski Eye Institute, University of Southern California, Los Angeles, California, United States of America.
Failure of central nervous system (CNS) axons to regenerate after injury results in permanent disability. Several molecular neuro-protective and neuro-regenerative strategies have been proposed as potential treatments but do not provide the directional cues needed to direct target-specific axon regeneration. Here, we demonstrate that applying an external guidance cue in the form of electric field stimulation to adult rats after optic nerve crush injury was effective at directing long-distance, target-specific retinal ganglion cell (RGC) axon regeneration to native targets in the diencephalon.
View Article and Find Full Text PDFDrug Deliv Transl Res
January 2025
School of Pharmacy, Medical Biology Centre, Queen's University Belfast, Belfast, UK.
Glaucoma is an optic neuropathy in which progressive degeneration of retinal ganglion cells and the optic nerve leads to irreversible visual loss. Glaucoma is one of the leading causes of blindness. The pathogenesis of glaucoma is determined by different pathogenetic mechanisms, including increased intraocular pressure, mechanical stress, excitotoxicity, resistance to aqueous drainage and oxidative stress.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Background: The early detection of preclinical dementia is crucial, prompting investigations into retinal biomarkers using optical coherence tomography (OCT). Inconsistent and limited longitudinal studies have been done to clarify the association between the retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GC-IPL) thickness and cognitive function over time. This study aims to explore the association between retinal biomarkers and cognitive function over time in non-demented older adults.
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