Clinical Research Directory

A Study to Evaluate the Usability of the SB11 PFS in Trial Participants With Wet AMD, Macular Oedema Secondary to RVO, or mCNV

This is a open label, multicenter, Phase II study to evaluate the usability of the pre-filled syringe (PFS) of SB11 (ranibizumab biosimilar). Healthcare Professionals (HCPs) followed the Instructions for Use (IFU) to prepare and administer SB11 PFS with intravitreal injection to trial participants with nAMD, Macular Oedema Secondary to RVO, or Myopic Choroidal Neovascularization (mCNV).

Deep Learning-Based OCTA Quantification and Modeling for Predicting Long-Term Anti-VEGF Efficacy in mCNV

Myopic choroidal neovascularization (mCNV) is one of the sight-threatening complications secondary to pathological myopia. Intravitreal injection of anti-vascular endothelial growth factor (VEGF) is its first-line therapy. However, mCNV is prone to recurrence and long-term visual decline, and there is currently no definitive method for predicting long-term prognosis. This project aims to conduct a long-term follow-up and multi-dimensional quantitative analysis of mCNV using optical coherence tomography angiography (OCTA) images. It seeks to evaluate long-term prognostic indicators, such as recurrence and long-term visual acuity, following anti-VEGF therapy for mCNV, and to construct a deep learning (DL) prediction model for anti-VEGF efficacy based on multi-modal clinical data, ultimately enabling treatment personalization. First, deep learning technology will be utilized to segment and quantitatively analyze mCNV in OCTA images, obtaining multi-dimensional quantitative parameters. These include OCTA-based The mCNV area and vessel junction(VJ). Patients will be followed up regularly for two years post-treatment, monitoring the number of injections, mCNV recurrence, OCT and OCTA quantitative parameters, fundus chorioretinal atrophy lesions, and visual acuity status. A multi-modal DL prediction model will be constructed, primarily based on the multi-dimensional quantitative characteristics of mCNV from OCTA images. This model will aim to identify sensitive indicators for predicting best-corrected visual acuity and recurrence after anti-VEGF therapy for mCNV and to clarify the relationship between therapeutic efficacy, baseline lesion status, and treatment regimen selection. This research will open new avenues for clinically assessing the long-term efficacy of anti-VEGF therapy for mCNV, significantly improve the efficiency and accuracy of efficacy evaluation, and provide a critical reference for personalizing anti-VEGF treatment plans, holding substantial clinical significance.