Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Background: Low-dose (LD) or intermediate-dose (MD) immune tolerance induction (ITI) is effective in children with severe hemophilia A (SHA) with high-titer inhibitors (HTIs) and is attractive in countries with economic constraints. However, high-quality evidence of their use is lacking.
Objectives: This was a multicenter randomized clinical trial comparing the efficacy, safety, and medication cost between LD-ITI and MD-ITI for SHA-HTI children.
Hematol Oncol
January 2025
Hemophilia A (HA) is an X-chromosome-linked recessive genetic disorder. Female carriers may have bleeding symptoms, but rarely have moderate or severe disease. We identified a female patient with moderate HA by pedigree tracking and genetic testing in a HA family involving consanguineous marriage.
View Article and Find Full Text PDFImportance: Emicizumab (EMI) is efficacious and safe for hemophilia A (HA) prophylaxis. However, its high cost poses a challenge in China.
Objective: To explore the possibility of using reduced-dosage EMI in Chinese HA children.