NCT04718532

A New Technique For Retinal Disease Treatment

Status unknown Last updated 22 January 2021

What this trial tests

trial in Retina Disorder in 2,000 participants. Status unknown.

Timeline

1 January 2016

Primary endpoint
1 January 2023

31 December 2023

Quick facts

Lead sponsor	Second Affiliated Hospital, School of Medicine, Zhejiang University
Status	Status unknown
Study type	OBSERVATIONAL
Enrollment	2,000
Start date	1 January 2016
Primary completion	1 January 2023
Estimated completion	31 December 2023
Sites	1 location across China

Conditions studied

• Retina Disorder — all drugs for Retina Disorder →

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Who can join

Eligibility, any sex, with Retina Disorder. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

With the advent of the era of precision medicine, based on FFA image deep learning to identify the area of fundus lesions, registration of fundus images, according to the severity of fundus diseases to design the optimal laser energy and path, the accurate treatment of fundus diseases has urgent clinical needs and very important significance

Publications & conference data

7 peer-reviewed publications reference this trial (live from Europe PMC):

1. FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation.
   Jin K, Huang X, Zhou J, Li Y, et al · · 2022 · cited 76× · PMID 35927290 · DOI 10.1038/s41597-022-01564-3
2. iERM: An Interpretable Deep Learning System to Classify Epiretinal Membrane for Different Optical Coherence Tomography Devices: A Multi-Center Analysis.
   Jin K, Yan Y, Wang S, Yang C, et al · · 2023 · cited 23× · PMID 36675327 · DOI 10.3390/jcm12020400
3. GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management.
   Huang X, Kong X, Shen Z, Ouyang J, et al · · 2023 · cited 19× · PMID 37543686 · DOI 10.1038/s41597-023-02424-4
4. A Structure-Related Fine-Grained Deep Learning System With Diversity Data for Universal Glaucoma Visual Field Grading.
   Huang X, Jin K, Zhu J, Xue Y, et al · · 2022 · cited 15× · PMID 35372429 · DOI 10.3389/fmed.2022.832920
5. Clinical evaluation of deep learning systems for assisting in the diagnosis of the epiretinal membrane grade in general ophthalmologists.
   Yan Y, Huang X, Jiang X, Gao Z, et al · · 2024 · cited 7× · PMID 37848677 · DOI 10.1038/s41433-023-02765-9
6. Diabetic Retinopathy Assessment through Multitask Learning Approach on Heterogeneous Fundus Image Datasets.
   Wu H, Jin K, Jing Y, Shen W, et al · · 2025 · cited 2× · PMID 40520476 · DOI 10.1016/j.xops.2025.100755
7. Segmentation of Low-Light Optical Coherence Tomography Angiography Images under the Constraints of Vascular Network Topology.
   Li Z, Huang G, Zou B, Chen W, et al · · 2024 · cited 1× · PMID 38339491 · DOI 10.3390/s24030774