首页|University of Toronto Reports Findings in Artificial Intelligence (Artificial in telligence-based extraction of quantitative ultra-widefield fluorescein angiogra phy parameters in retinal vein occlusion)
University of Toronto Reports Findings in Artificial Intelligence (Artificial in telligence-based extraction of quantitative ultra-widefield fluorescein angiogra phy parameters in retinal vein occlusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Toronto, Canada , by NewsRx editors, research stated, “To examine the association between quanti tative vascular parameters extracted from intravenous fluorescein angiography (I VFA) and baseline clinical characteristics of patients with retinal vein occlusi on (RVO). Our prospective single-centre study in Toronto, Canada, recruited pati ents with a diagnosis of macular edema secondary to RVO presenting with a centra l macular thickness (CMT) 310 mm from 2017 to 2023.” Our news journalists obtained a quote from the research from the University of T oronto, “IVFA images were captured using an ultra-widefield scanning laser ophth almoscope and processed using the artificial intelligence-based RETICAD system t o extract quantitative measurements of blood flow, perfusion, and blood-retinal barrier (BRB) permeability. Univariable and multivariable regression models were used to investigate associations between quantitative IVFA parameters and basel ine best-corrected visual acuity (BCVA), CMT, and macular volume. The study incl uded 41 eyes from 41 RVO patients. In the multivariable analysis, BRB permeabili ty was significantly associated with both CMT (p <0.001) a nd macular volume (p = 0.005). Subgroup analyses revealed that in central retina l vein occlusion patients, central BRB permeability remained significantly assoc iated with CMT (p = 0.022) and macular volume (p = 0.010); however, there was no association with BCVA (p = 0.921). In branch retinal vein occlusion patients, c entral BRB permeability was significantly associated with BCVA (p = 0.006) and C MT (p = 0.009), but not with macular volume (p = 0.723). Additionally, both cent ral and peripheral BRB permeability was significantly higher in patients with RV O compared to healthy controls (p <0.001). Our investigati on reveals novel associations between baseline clinical characteristics and quan titative IVFA parameters in RVO patients, which may serve as clinically relevant biomarkers.”
TorontoCanadaNorth and Central Ameri caAngiographyAngiologyAromatic Polycyclic HydrocarbonsArtificial Intelli genceCardiologyCardiovascular Diagnostic TechniquesCardiovascular Diseases and ConditionsEmbolism and ThrombosisEmerging TechnologiesEye Diseases an d ConditionsFluoresceinsHealth and MedicineHydrocarbonsMachine LearningRetinal Diseases and ConditionsRetinal Vein OcclusionSpiro CompoundsVenou s Thrombosis
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