URZUA SALINAS, CRISTHIAN
Preferred name
URZUA SALINAS, CRISTHIAN
Main Affiliation
ORCID
0000-0001-5325-0415
Scopus Author ID
55308794300
18 results
Now showing 1 - 10 of 18
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Item type:Publication, Combination of infrared reflectance and OCT imaging for age-related macular degeneration screening via deep learning(2023); 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Identification of Tear Biomarkers for Intraocular Inflammation in Patients with Vogt-Koyanagi-Harada Disease(2025)2 - Some of the metrics are blocked by yourconsent settings
Item type:Product, 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New Pharmacological Strategies for the Treatment of Non-Infectious Uveitis. A Minireview(2020)Scopus© Citations 28 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Successful treatment of cytomegalovirus retinitis with oral/intravitreal antivirals in HIV-negative patients with lymphoma(2022); Susan Lightman<jats:title>Abstract</jats:title><jats:sec> <jats:title>Objectives</jats:title> <jats:p>To report patients with systemic lymphoma and cytomegalovirus (CMV) retinitis, treated with a combination of oral and intravitreal antiviral agents on an outpatient basis.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Retrospective cases series. Information was gathered from the database of the Uveitis clinics at Moorfields Eye Hospital, United Kingdom from December 2014 to December 2018. The inclusion criteria comprised the diagnosis of systemic lymphoma, associated with a diagnosis of CMV retinitis. Exclusion criteria were alternative ocular diagnosis, human immunodeficiency virus (HIV), primary intraocular lymphoma, or other causes of immunosuppression.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>All seven subjects had been under oncologist care for systemic lymphoma. CMV retinitis presented with a median of 61 months after the systemic lymphoma diagnosis. Five patients underwent a vitreous biopsy, and four of them returned PCR positive for CMV and the fifth patient had PCR positive in a blood sample. All patients were treated with oral Valganciclovir, with an induction dose of 900 mg every 12 h for up to 3 weeks until disease resolution and a maintenance dose thereafter. All but one received additional intravitreal Foscarnet injections, with a dose of 2.4 mg /0.1 ml.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The management of patients with systemic lymphoma and CMV retinitis with oral and intravitreal antiviral agents, resulted in effective disease control.</jats:p> </jats:sec>1Scopus© Citations 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Expression of miRNAs in serum and PBMCs of patients with Vogt-Koyanagi-Disease as a novel biomarker for the classification of intraocular inflammatory status 1 of 1 Expression of miRNAs in serum and PBMCs of patients with Vogt-Koyanagi-Disease as a novel biomarker for the classification of intraocular inflammatory status(2023); 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Glucocorticoid Receptor and IL-10 Expression as Biomarkers of Response to Corticosteroids Treatment in Patients With Uveitis(2023); 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Initial-onset acute and chronic recurrent stages are two distinctive courses of Vogt-Koyanagi-Harada disease(2020); Scopus© Citations 25 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Definition of Uveitis Refractory to Treatment: A Systematic Review in the Absence of a Consensus(2020)3Scopus© Citations 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interpretable multimodal classification for age-related macular degeneration diagnosis(2024); Xu Yanwu<jats:p>Explainable Artificial Intelligence (XAI) is an emerging machine learning field that has been successful in medical image analysis. Interpretable approaches are able to “unbox” the black-box decisions made by AI systems, aiding medical doctors to justify their diagnostics better. In this paper, we analyze the performance of three different XAI strategies for medical image analysis in ophthalmology. We consider a multimodal deep learning model that combines optical coherence tomography (OCT) and infrared reflectance (IR) imaging for the diagnosis of age-related macular degeneration (AMD). The classification model is able to achieve an accuracy of 0.94, performing better than other unimodal alternatives. We analyze the XAI methods in terms of their ability to identify retinal damage and ease of interpretation, concluding that grad-CAM and guided grad-CAM can be combined to have both a coarse visual justification and a fine-grained analysis of the retinal layers. We provide important insights and recommendations for practitioners on how to design automated and explainable screening tests based on the combination of two image sources.</jats:p>Scopus© Citations 1