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Open Access Clinical Research Issue
A novel decellularized conjunctival stroma biomaterial for conjunctival reconstruction following pterygium surgery
International Journal of Ophthalmology 2026, 19(1): 48-55
Published: 18 January 2026
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AIM

To evaluate the efficacy and safety of decellularized conjunctival stroma (DCS) as a novel biomaterial by comparing its grafting outcomes with amniotic membrane (AM) when used for conjunctival reconstruction after primary pterygium excision.

METHODS

This randomized, parallel-controlled study with allocation concealment enrolled 40 patients with primary pterygium. Participants were randomly assigned to two groups using the sealed envelope method: the DCS group (n=20) and the AM group (n=18), receiving DCS and AM grafts respectively. Slit-lamp photography of the operative eyes was performed preoperatively and at 1, 3, 5, 7, 10, 30, 90, and 180d postoperatively. Best-corrected visual acuity (BCVA) and symptom scores were recorded simultaneously. In vivo confocal microscopy was conducted at 3 and 6mo postoperatively.

RESULTS

All participants exhibited improved postoperative symptoms. The mean age was 60±9y (male/female ratio: 6/14) in the DCS group and 56±12y (male/female ratio: 7/11) in the AM group. The average epithelial healing time was 9.89±3.54d in the DCS group and 8.17±1.34d in the AM group (P=0.084). One recurrence case was observed in each group. Postoperative graft hemorrhage was significantly more severe in the DCS group than in the AM group only at 30d postoperatively (P=0.011). In vivo confocal microscopy revealed conjunctival epithelial cell growth in both groups at 90d postoperatively, while clear corneo-conjunctival cell boundaries were observed until 180d postoperatively.

CONCLUSION

DCS used in primary pterygium surgery has a safety profile comparable to AM. It promotes rapid postoperative conjunctival healing, achieves a relatively low pterygium recurrence rate, and yields outcomes similar to AM. DCS provides a novel biomaterial option for conjunctival reconstruction after pterygium excision and the treatment of other conjunctival injuries.

Open Access Clinical Research Issue
Subconjunctival conbercept for the treatment of corneal neovascularization
International Journal of Ophthalmology 2023, 16(6): 871-875
Published: 18 June 2023
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AIM

To investigate the effectiveness and safety of subconjunctival injection of conbercept in the treatment of corneal neovascularization (CNV).

METHODS

The data on 10 consecutively recruited patients with CNV who received a subconjunctival conbercept (1 mg) once, and measured the area, length, and diameter of neovascularization before and after (1d, 1, 2wk, and 1mo) treatment as well as the occurrence of systemic and ocular complications after treatment were analyzed.

RESULTS

There was a statistically significant reduction in the area of CNV one day after treatment (mean±SD: 38.46±11.36 mm2), compared with before treatment (42.46±12.80 mm2, P<0.01). There was also a statistically significant reduction in the length (3.86±1.80 mm vs 4.64±1.77 mm, P<0.01) and diameter (0.044±0.022 vs 0.060±0.026, P<0.05) of CNV, one week after treatment comparing to before treatment. The reduction in all three parameters was maximized at two weeks after treatment (area: 29.49±8.83 mm2, P<0.001; length: 3.50±1.88 mm, P<0.001; and diameter: 0.038±0.017 mm, P<0.01). No severe systemic or ocular complication was observed during the study.

CONCLUSION

During the observation period of one-month, subconjunctival injection of conbercept is an effective and safe method for the reduction of CNV. It may be effective as a preoperative drug for neovascular corneal transplantation.

Open Access Intelligent Ophthalmology Issue
Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023)
International Journal of Ophthalmology 2023, 16(9): 1373-1385
Published: 18 September 2023
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The landscape of ophthalmology has observed monumental shifts with the advent of artificial intelligence (AI) technologies. This article is devoted to elaborating on the nuanced application of AI in the diagnostic realm of anterior segment eye diseases, an area ripe with potential yet complex in its imaging characteristics. Historically, AI’s entrenchment in ophthalmology was predominantly rooted in the posterior segment. However, the evolution of machine learning paradigms, particularly with the advent of deep learning methodologies, has reframed the focus. When combined with the exponential surge in available electronic image data pertaining to the anterior segment, AI’s role in diagnosing corneal, conjunctival, lens, and eyelid pathologies has been solidified and has emerged from the realm of theoretical to practical. In light of this transformative potential, collaborations between the Ophthalmic Imaging and Intelligent Medicine Subcommittee of the China Medical Education Association and the Ophthalmology Committee of the International Translational Medicine Association have been instrumental. These eminent bodies mobilized a consortium of experts to dissect and assimilate advancements from both national and international quarters. Their mandate was not limited to AI’s application in anterior segment pathologies like the cornea, conjunctiva, lens, and eyelids, but also ventured into deciphering the existing impediments and envisioning future trajectories. After iterative deliberations, the consensus synthesized herein serves as a touchstone, assisting ophthalmologists in optimally integrating AI into their diagnostic decisions and bolstering clinical research. Through this guideline, we aspire to offer a comprehensive framework, ensuring that clinical decisions are not merely informed but transformed by AI. By building upon existing literature yet maintaining the highest standards of originality, this document stands as a testament to both innovation and academic integrity, in line with the ethos of renowned journals such as Ophthalmology.

Open Access Intelligent Ophthalmology Issue
Dynamic tear meniscus parameters in complete blinking: insights into dry eye assessment
International Journal of Ophthalmology 2023, 16(12): 1911-1918
Published: 18 December 2023
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AIM

To investigate the relationship between dynamic tear meniscus parameters and dry eye using an automated tear meniscus segmentation method.

METHODS

The analysis of tear meniscus videos captured within 5s after a complete blink includes data from 38 participates. By processing video data, several key parameters including the average height of the tear meniscus at different lengths, the curvature of the tear meniscus’s upper boundary, and the total area of the tear meniscus in each frame were calculated. The effective values of these dynamic parameters were then linearly fitted to explore the relationship between their changing trends and dry eye disease.

RESULTS

In 94.74% of the samples, the average height of central tear meniscus increased over time. Moreover, 97.37% of the samples exhibited an increase in the overall tear meniscus height (TMH) and area from the nasal to temporal side. Notably, the central TMH increased at a faster rate compared to the nasal side with the temporal side showing the slowest ascent. Statistical analysis indicates that the upper boundary curvature of the whole tear meniscus as well as the tear meniscus of the nasal side (2, 3, and 4 mm) aid in identifying the presence of dry eye and assessing its severity.

CONCLUSION

This study contributes to the understanding of tear meniscus dynamics as potential markers for dry eye, utilizing an automated and non-invasive approach that has implications for clinical assessment.

Open Access Clinical Research Issue
Evaluation of dry eye disease symptomatology and mental health status among patients with different COVID-19 statuses
International Journal of Ophthalmology 2024, 17(5): 822-830
Published: 18 May 2024
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AIM

To evaluate dry eye disease (DED) symptomatology and mental health status in different COVID-19 patients.

METHODS

A cross-sectional observational design was used. Totally 123 eligible adults (46.34% of men, age range, 18-59y) with COVID-19 included in the study from August to November, 2022. Ocular Surface Disease Index (OSDI), Five-item Dry Eye Questionnaire (DEQ-5), Hospital Anxiety and Depression Scale (HADS), and Pittsburgh Sleep Quality Index (PSQI) were used in this study.

RESULTS

OSDI scores were 6.82 (1.25, 15.91) in asymptomatic carriers, 7.35 (2.50, 18.38) in mild cases, and 16.67 (4.43, 28.04) in recurrent cases, with 30.00%, 35.56%, and 57.89%, respectively evaluated as having DED symptoms (χ2=7.049, P=0.029). DEQ-5 score varied from 2.00 (0, 6.00) in asymptomatic carriers, 3.00 (0, 8.00) in mild cases, and 8.00 (5.00, 10.00) in recurrent cases, with 27.50%, 33.33%, and 55.26%, respectively assessed as having DED symptoms (χ2=8.532, P=0.014). The prevalence of clinical anxiety (50.00%) and depression (47.37%) symptoms were also significantly higher in patients with recurrent infection (χ2=24.541, P<0.001; χ2=30.871, P<0.001). Recurrent infection was a risk factor for high OSDI scores [odds ratio, 2.562; 95% confidence interval (CI), 1.631-7.979; P=0.033] and DEQ-5 scores (odds ratio, 3.353; 95%CI, 1.038-8.834; P=0.043), whereas having a fixed occupation was a protective factor for OSDI scores (odds ratio, 0.088; 95%CI, 0.022-0.360; P=0.001) and DEQ-5 scores (odds ratio, 0.126; 95%CI, 0.039-0.405; P=0.001).

CONCLUSION

Patients with recurrent COVID-19 have more severe symptoms of DED, anxiety, and depression.

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