The goal of this clinical trial is to investigate the efficacy and safety of dichoptic treatment based on Augmented Reality (AR) technology in treating monocular amblyopia aged 12 to 55 years, and compare dichoptic AR treatment with the standard patching therapy. The main questions it aims to answer are: Does dichoptic AR treatment safely and effectively improve visual acuity and other monocular/binocular visual functions in older children and adults with amblyopia? Is binocular therapy superior to occlusion therapy?
Amblyopia is the most prevalent developmental visual disorder in children, characterized by a reduction in best-corrected visual acuity in one or both eyes that cannot be attributed to optical anomalies or organic ocular pathologies. Epidemiological investigations have demonstrated that the prevalence of amblyopia among children ranges from 3% to 6%, rendering it one of the leading causes of unilateral visual impairment in pediatric populations. Beyond reduced visual acuity, amblyopia may also induce deficits in stereopsis, oculomotor coordination, and cognitive function, which substantially compromise patients' daily activities. Current mainstream clinical interventions for amblyopia primarily include refractive correction, occlusion therapy, penalization therapy, and visual function training. Given the existence of a critical period for the development of the visual cortex in children, the treatment of amblyopia is constrained by a distinct therapeutic time window. Earlier intervention yields a higher probability of visual acuity recovery. Conversely, patients treated beyond the critical period of visual development generally exhibit a poor response to conventional therapies. Accordingly, amblyopia in older children and adults remains a major clinical challenge. With advancing research on the binocular pathogenesis of amblyopia-such as binocular imbalance induced by binocular contrast gain control and impairment of the parvocellular visual pathway originating from the lateral geniculate nucleus (LGN)-novel therapeutic strategies for amblyopia have been continuously developed. Visual perceptual learning, which involves repeated training on near-threshold visual tasks to strengthen relevant neural pathways and elicit long-term improvements in visual function, has achieved favorable clinical outcomes in amblyopic patients. Since this approach can facilitate cortical plasticity, adult amblyopes who fail to respond to conventional treatments also show marked therapeutic responses. In recent years, dichoptic training, which delivers distinct visual stimuli to each eye simultaneously to promote binocular coordination and rehabilitate the parvocellular pathway, has exhibited promising efficacy in ameliorating monocular and binocular visual functions and shortening treatment duration in amblyopic patients. Augmented Reality (AR) has attracted considerable attention due to its immersive interactive properties. By superimposing virtual visual stimuli onto the real-world environment, AR provides an innovative modality for amblyopia management. Compared with traditional therapies, AR systems enable real-time modulation of stimulus parameters (e.g., spatial frequency, contrast, and binocular balance), thereby supporting personalized and precise treatment. Preliminary studies have verified that AR-based training can significantly enhance contrast sensitivity and stereoscopic vision in adult amblyopes. Additionally, the gamified design of visual tasks remarkably improves patient adherence to treatment. Nevertheless, existing studies on AR-based amblyopia training are mostly confined to laboratory settings or short-term interventions. Large-scale real-world evidence is still lacking to validate its long-term safety and general applicability. Furthermore, the assessment of visual function improvements after treatment mainly relies on visual acuity measurements, which represents a limited evaluation framework; comprehensive and systematic assessment systems remain underdeveloped. In addition, amblyopia in individuals over 12 years of age (older children and adults) constitutes a difficult-to-treat cohort in clinical practice. These patients present low cortical plasticity and poor responses to occlusion therapy. Although dichoptic training is capable of inducing cortical plasticity, systematic real-world studies on this intervention are still insufficient. Therefore, the present study conducted in routine clinical settings targeting this specific population not only possesses important clinical implications, but also provides theoretical and practical evidence for the establishment of novel therapeutic regimens for amblyopia.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
60
Dichoptic Augmented Reality (AR) treatment uses the smart glasses connected to a video playback device, and participants watch cartoons, movies, or daily videos during training. The system performs real-time dichoptic processing on visual contents: high spatial frequency images are presented to the amblyopic eye, while low-contrast images are delivered to the dominant eye.
Opaque eye patches were used to cover the fellow eye (dominant eye), forcing participants to view objects with their amblyopic eye. The total daily occlusion duration was 4 hours, which could be split into separate sessions with a minimum duration of 2 hours per session. The intervention lasted for 3 months in total.
2nd Affiliated Hospital, School of Medicine, Zhejiang University, China 2nd Affiliated Hospital, School of Medicine
Hangzhou, Zhejiang, China
Best Corrected Visual Acuity
BCVA was measured with optimal refractive correction (if needed) and without cycloplegia, using the Electronic Early Treatment Diabetic Retinopathy Study (E-ETDRS) protocol.
Time frame: From enrollment to the end of treatment at 12 weeks
Stereoacuity
Stereoacuity was measured by the RandomDot test and a disparity detection task.
Time frame: From enrollment to the end of treatment at 12 weeks
Binocular balance
Binocular balance point is measured by binocular orientation task.
Time frame: From enrollment to the end of treatment at 12 weeks
Contrast sensitivity function
Contrast sensitivity function is measured by the contrast sensitivity detection task at different spatial frequencies.
Time frame: From enrollment to the end of treatment at 12 weeks
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