Translational Vision Science & Technology最新文献

{"title":"Evaluation of Suprachoroidal Injection in Cadaveric and Preclinical Models.","authors":"Mark Hedgeland, Sergio Camacho Gonzalez, Dimitrios Stampoulis, Vivian Lee, Kate Powell, Yubin Qiu, Robert Hodge, Greg Bell, Amanda Fago, Rebecca Atkinson-Dell, Nadya Choti, Kirsten Stoner","doi":"10.1167/tvst.14.3.20","DOIUrl":"10.1167/tvst.14.3.20","url":null,"abstract":"<p><strong>Purpose: </strong>The suprachoroidal space (SCS) is a new route for delivering therapeutics to the posterior eye. Reliably reaching the SCS is difficult in humans and animal models and necessitates thorough validation of drug delivery techniques. This study quantified SCS coverage in human cadaveric eyes using micro-computed tomography (μCT) and developed injectors optimized for preclinical animal anatomy resulting in reliable SCS access.</p><p><strong>Methods: </strong>Dynamic μCT captured volumetric images during a 100 µL SCS injection in 10 cadaveric human eyes from five donors. Quantitative measurements of injection coverage, thickness, distribution, and center of volume were calculated. To improve preclinical SCS delivery, our novel TS-Micro injector was scaled to accommodate non-human primate (NHP) anatomy. Devices were tested in vivo (30 total injections, 14 animals) where delivery success was evaluated via direct visualization, and intraoperative imaging.</p><p><strong>Results: </strong>Delivery to the SCS was successful in 100% of uncompromised human cadaver eyes (80% of all eyes). Injections of 100 µL in human SCS covered 33.3% ± 5.9%. Four-dimensional μCT showed that infusate initially spreads circumferentially from the injection point then posteriorly. Delivery to NHP eyes was successful in 95% of procedures resulting in coverage consistent to human cadaveric testing.</p><p><strong>Conclusions: </strong>Results provide the first quantifiable measurement of SCS injection spread in human anatomy with validation of suprachoroidal drug delivery in the NHP that mirrors coverage in human.</p><p><strong>Translational relevance: </strong>Cell and gene therapies require precise delivery for therapeutic efficacy, necessitating quantification of delivery in preclinical and human anatomy, as inaccurate delivery impacts efficacy of drug candidates and confounds toxicology/dose range studies.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"20"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143693437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional Biomechanical Weakening in Keratoconus Corneas Detected by In Vivo High-Frequency Ultrasound Elastography.","authors":"Sunny Kwok, Xueliang Pan, Manqi Pan, Zihao Chen, Madison Ammon, Andrew Hendershot, Jun Liu","doi":"10.1167/tvst.14.3.22","DOIUrl":"10.1167/tvst.14.3.22","url":null,"abstract":"<p><strong>Purpose: </strong>In vivo biomechanical characterization of the cornea remains a challenge. We have developed a high-resolution ultrasound elastography technique, termed ocular pulse elastography (OPE), to measure corneal deformation in response to the intraocular pressure (IOP) pulsation at each heartbeat. In this study, we aimed to compare corneal axial strains (CASs) between patients with keratoconus and normal subjects and evaluate the spatial mapping of CAS in high grade keratoconus.</p><p><strong>Methods: </strong>Forty patients with keratoconus (63 eyes) and 40 normal controls (80 eyes) were enrolled in this study. Each eye underwent 4 ultrasound measurements using the Vevo2100 high-frequency ultrasound system. Each measurement acquired 1000 continuous B-mode scans in 8 seconds. Corneal axial displacements and strains were quantified using an ultrasound speckle tracking algorithm.</p><p><strong>Results: </strong>CAS magnitude was significantly higher in keratoconus than normal corneas (-0.13% ± 0.09% vs. -0.06% ± 0.04%, P < 0.001) with an increasing trend in higher grades (P < 0.001). CAS in keratoconus corneas had a greater spatial variance as higher strains were observed in the cone center than its surrounding regions in grade 3 and 4 keratoconus corneas.</p><p><strong>Conclusions: </strong>Our results showed that high-frequency ultrasound elastography was able to detect and quantify the larger deformation of keratoconus corneas than normal corneas in response to the natural fluctuations of IOP at each heartbeat, and it also detected the spatial variance showing greater deformation in the cone region.</p><p><strong>Translational relevance: </strong>High-resolution ultrasound may provide a sensitive tool for quick, spatially resolved characterization of corneal biomechanics to aid keratoconus detection and diagnosis.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"22"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11951050/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143711459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.","authors":"Abigail Koornwinder, Youchen Zhang, Rohith Ravindranath, Robert T Chang, Isaac A Bernstein, Sophia Y Wang","doi":"10.1167/tvst.14.3.27","DOIUrl":"10.1167/tvst.14.3.27","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography (RNFL OCT) scans.</p><p><strong>Methods: </strong>EHR data (demographics and clinical eye examinations) and RNFL OCT scans were identified for patients with glaucoma from an academic center (2008-2023). Comparing the novel TabNet deep learning architecture to a baseline XGBoost model, we trained and evaluated single modality models using either EHR or RNFL features, as well as fusion models combining both EHR and RNFL features as inputs, to predict glaucoma surgery within 12 months (binary).</p><p><strong>Results: </strong>We had 1472 patients with glaucoma who were included in this study, of which 29.9% (N = 367) progressed to glaucoma surgery. The TabNet fusion model achieved the highest performance on the test set with an area under the receiver operating characteristic curve (AUROC) of 0.832, compared to the XGBoost fusion model (AUROC = 0.747). EHR only models performed with an AUROC of 0.764 and 0.720 for the deep learning model and XGBoost models, respectively. RNFL only models performed with an AUROC of 0.624 and 0.633 for the deep learning and XGBoost models, respectively.</p><p><strong>Conclusions: </strong>Fusion models which integrate both RNFL with EHR data outperform models only utilizing one datatype or the other to predict glaucoma progression. The deep learning TabNet architecture demonstrated superior performance to traditional XGBoost models.</p><p><strong>Translational relevance: </strong>Prediction models that utilize the wealth of structured clinical and imaging data to predict glaucoma progression could form the basis of future clinical decision support tools to personalize glaucoma care.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"27"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143731650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Evaluation of Changes in Retinal and Choroidal Blood Flow Following Strabismus Surgery.","authors":"Sayuri Yasuda, Yoshiko Takai, Yuma Yasuda, Takanori Yamamoto, Ryo Tomita, Takeshi Iwase, Norie Nonobe, Jun Takeuchi, Taiki Kojima, Koji M Nishiguchi, Hiroki Kaneko","doi":"10.1167/tvst.14.3.12","DOIUrl":"10.1167/tvst.14.3.12","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to investigate the effects of extraocular muscle recession performed as part of strabismus surgery on posterior retinal and choroidal blood flow.</p><p><strong>Methods: </strong>A single-center prospective study was conducted on patients who underwent strabismus surgery. Optical coherence tomography, optical coherence tomography angiography, and laser speckle flowgraphy of the macula were performed before surgery and at one week, one month, and four months after surgery. Preoperative and postoperative ratios were calculated, and longitudinal changes in retinal blood flow, choroidal thickness, and choroidal blood flow were analyzed. Furthermore, the changes based on the types of resected muscle were examined.</p><p><strong>Results: </strong>In total, 254 eyes from 127 patients were included. The subfoveal choroidal thickness increased significantly at one week and one month after surgery, with no significant change at four months after surgery. The choroidal blood flow increased significantly at one week after surgery, with no significant changes at one and four months after surgery. The retinal vessel density significantly decreased at one week after surgery, with no significant changes at one and four months after surgery. Analysis of groups that had various muscles excised showed no significant changes in any measurements. Choroidal thickness and blood flow were significantly correlated at one week after surgery.</p><p><strong>Conclusions: </strong>Strabismus surgery decreased retinal blood flow but increased choroidal thickness and blood flow in the early postoperative period. Moreover, no significant changes were observed in the long term compared to the preoperative period.</p><p><strong>Translational relevance: </strong>Strabismus surgery affects the retina and choroid in the early postoperative period but not in the long term.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"12"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11918063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143605752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corneal Layer Segmentation in Healthy and Pathological Eyes: A Joint Super-Resolution Generative Adversarial Network and Adaptive Graph Theory Approach.","authors":"Khin Yadanar Win, Jipson Wong Hon Fai, Wong Qiu Ying, Chloe Chua Si Qi, Jacqueline Chua, Damon Wong, Marcus Ang, Leopold Schmetterer, Bingyao Tan","doi":"10.1167/tvst.14.3.19","DOIUrl":"10.1167/tvst.14.3.19","url":null,"abstract":"<p><strong>Purpose: </strong>To enhance corneal layer segmentation and thickness measurement in ultra-high axial resolution optical coherence tomography (OCT) images for both healthy and pathological eyes using super-resolution generative adversarial network and adaptive graph theory.</p><p><strong>Methods: </strong>We combine a super-resolution generative adversarial network (SRGAN) with adaptive graph theory for an improved segmentation accuracy of five corneal layers: epithelium, Bowman's, corneal stroma, Descemet's membrane, and endothelium. The fine-tuned SRGAN enhances the contrast and visibility of layer interfaces, particularly Descemet's membrane. For the layer segmentation with graph theory, search spaces were adapted according to the contrasts of the layers. We segmented volumetric high-resolution corneal OCT images of healthy participants, patients who underwent Descemet's membrane endothelial keratoplasty (DMEK), and patients with Fuchs endothelial corneal dystrophy (FECD).</p><p><strong>Results: </strong>Enface thickness maps were generated over a 4-mm field of view from both healthy and pathological eyes. The measurements showed high reproducibility (intraclass correlation coefficient [ICC] = 0.97) for the whole cornea and stroma and moderate reproducibility for the other layers (ICC = 0.64 for epithelium/Bowman's complex; ICC = 0.53 for endothelium/Descemet's membrane complex). The average thickness errors were 3.5 µm for the total cornea, 4.4 µm for epithelium, 2.5 µm for Bowman's, 4.3 µm for stroma, and 3.0 µm for endothelium/Descemet's membrane complex.</p><p><strong>Conclusions: </strong>The proposed method consistently outperforms conventional graph search methods across all corneal layer segmentations, which is beneficial for diagnosing and monitoring corneal diseases.</p><p><strong>Translational relevance: </strong>Our method can provide precise thickness measurement of multiple corneal layers, which has the potential to improve DMEK monitoring and FECD diagnosis.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"19"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11932425/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143658783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corneal Resistance to Enzymatic Digestion After Rose Bengal and Combined Rose Bengal/Riboflavin Cross-Linking Is Oxygen Independent.","authors":"M Enes Aydemir, Nikki L Hafezi, Nan-Ji Lu, Emilio A Torres-Netto, Mark Hillen, Carina Koppen, Farhad Hafezi","doi":"10.1167/tvst.14.3.1","DOIUrl":"10.1167/tvst.14.3.1","url":null,"abstract":"<p><strong>Purpose: </strong>To assess corneal resistance to enzymatic digestion after rose bengal (RB)/green light and RB/green light followed by riboflavin (RF)/ultraviolet A (UV-A) cross-linking (CXL), with or without oxygen.</p><p><strong>Methods: </strong>Ex vivo porcine corneal buttons (n = 144) underwent CXL with RB/green or RB/green-RF/UV-A under atmospheric 21% oxygen conditions or in a nitrogen chamber with 0.1% oxygen (hypoxic conditions) to test 10- and 15-J/cm2 fluences. After CXL, corneas were digested with 0.3% collagenase A, and mean digestion times (MDTs) were recorded.</p><p><strong>Results: </strong>For the non-irradiated control group, the MDT was 19.75 ± 1.34 hours. Under atmospheric oxygen conditions, RB/green CXL yielded MDTs of 33.69 ± 1.4 and 34.38 ± 1.31 hours with fluences of 10 and 15 J/cm2, respectively. RB/green + RF/UV-A showed MDTs of 39.56 ± 1.93 and 51.94 ± 4.2 hours for combined fluences of 10 + 10 J/cm2 and 15 + 15 J/cm2, respectively. Hypoxic RB/green MDTs were 33.88 ± 1.02 and 34.06 ± 1.57 hours, and RB/green + RF/UV-A MDTs were 39.62 ± 2.5 and 50.35 ± 1.59 hours for the same respective fluences. No significant differences were observed between the control groups and corresponding intervention groups (all P > 0.05).</p><p><strong>Conclusions: </strong>CXL via RB/green and RB/green-RF/UV-A significantly enhanced corneal collagenase digestion resistance, irrespective of oxygen presence. These findings could help optimize infectious keratitis therapy CXL protocols.</p><p><strong>Translational relevance: </strong>Our findings aid the understanding of the molecular mechanisms underlying the therapeutic effect of CXL and may contribute to refining accelerated PACK-CXL protocols and other CXL treatment strategies.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"1"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11887929/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in OCT Angiography.","authors":"Tristan T Hormel, David Huang, Yali Jia","doi":"10.1167/tvst.14.3.6","DOIUrl":"10.1167/tvst.14.3.6","url":null,"abstract":"<p><p>Optical coherence tomography angiography (OCTA) is a signal processing and scan acquisition approach that enables OCT devices to clearly identify vascular tissue down to the capillary scale. As originally proposed, OCTA included several important limitations, including small fields of view relative to allied imaging modalities and the presence of confounding artifacts. New approaches, including both hardware and software, are solving these problems and can now produce high-quality angiograms from tissue throughout the retina and choroid. Image analysis tools have also improved, enabling OCTA data to be quantified at high precision and used to diagnose disease using deep learning models. This review highlights these advances and trends in OCTA technology, focusing on work produced since 2020.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"6"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Intelligent Grading Model for Myopic Maculopathy Based on Long-Tailed Learning.","authors":"Bo Zheng, Chen Wang, Maotao Zhang, Shaojun Zhu, Maonian Wu, Tao Wu, Weihua Yang, Lu Chen","doi":"10.1167/tvst.14.3.4","DOIUrl":"10.1167/tvst.14.3.4","url":null,"abstract":"<p><strong>Purpose: </strong>To develop an intelligent grading model for myopic maculopathy based on a long-tail learning framework, using the improved loss function LTBSoftmax. The model addresses the long-tail distribution problem in myopic maculopathy data to provide preliminary grading, aiming to improve grading capability and efficiency.</p><p><strong>Methods: </strong>This study includes a data set of 7529 color fundus photographs. Experienced ophthalmologists meticulously annotated the ground truth. A new intelligent grading model for myopic maculopathy was constructed using the improved loss function LTBSoftmax, which predicts lesions by locally enhancing feature extraction with ND Block. Standard grading metrics were selected to evaluate the LTBSoftmax model.</p><p><strong>Results: </strong>The improved model demonstrated excellent performance in diagnosing four types of myopic maculopathy, achieving a κ coefficient of 88.89%. Furthermore, the model's size is 18.7 MB, which is relatively smaller compared to traditional models, indicating that the model not only achieves a high level of agreement with expert diagnoses but is also more efficient in terms of both storage and computational resources. These metrics further validate the model's well-conceived design and superiority in practical applications.</p><p><strong>Conclusions: </strong>The intelligent grading system, using long-tailed learning strategies, effectively improves the classification of myopic maculopathy, offering a practical grading tool for clinicians, particularly in areas with limited resources.</p><p><strong>Translational relevance: </strong>This model translates long-tail learning research into a practical grading tool for myopic maculopathy. It addresses data imbalance with the improved LTBSoftmax loss function, achieving high accuracy and efficiency. By enhancing feature extraction with ND Block, it provides reliable grading support for clinicians, especially in resource-limited settings.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 3","pages":"4"},"PeriodicalIF":2.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11895850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MEDTEG (Minimum Entropy Dynamic Test Grids): A Novel Algorithm for Adding New Test Locations to a Perimetric Test Grid.","authors":"Pete R Jones","doi":"10.1167/tvst.14.2.25","DOIUrl":"10.1167/tvst.14.2.25","url":null,"abstract":"<p><strong>Purpose: </strong>To describe a novel algorithm (MEDTEG) for dynamically adding new test locations to a perimetric grid-to provide a more personalized/comprehensive visual field (VF) assessment.</p><p><strong>Methods: </strong>MEDTEG operates by finding the most informative new test location. First, Voronoi tessellation is used to construct a list of candidate locations (i.e., points that lie in between the current test locations, even when the current grid is sparse or irregular). Next, each candidate's probability mass function is computed using natural neighbor interpolation. Finally, the most informative candidate is determined by computing the expected reduction in entropy (after trial t + 1) and then multiplying this value by the area of its Voronoi cell, to estimate the overall volume of expected information gain. Optional weighting coefficients can be applied to encourage/restrict testing to particular spatial locations (e.g., to avoid the midline, target the macula, or prioritize regions exhibiting structural damage).</p><p><strong>Results: </strong>Using a combination of mathematics, graphics, and MATLAB code, we describe the algorithm and simulate possible use cases. These include ways of providing more detailed evaluations of small scotomas (\"enhanced perimetry\"), more efficiently assessing patients with extensive loss (\"personalized perimetry\"), or maximizing VF information in patients with limited attention spans (\"indeterminate duration perimetry\").</p><p><strong>Conclusions: </strong>Simulations of perimetric data indicate that MEDTEG provides a logical and flexible way of automatically adding test locations to an existing perimetric test grid, or of constructing entirely novel grids based on a handful of seed locations.</p><p><strong>Translational relevance: </strong>MEDTEG may facilitate more informative VF assessments or allow testing in challenging populations.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 2","pages":"25"},"PeriodicalIF":2.6,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11881782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143504358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of the Ocular Pain Assessment Survey Instrument With Rasch Analysis.","authors":"Debbie Marie Ng, Xiu Wang, Chang Liu, MingYi Yu, Isabelle Xin Yu Lee, Jipson Hon Fai Wong, Regina Kay Ting Wong, Diana Xin Hui Chan, Yu-Chi Liu, Louis Hak Tien Tong","doi":"10.1167/tvst.14.2.20","DOIUrl":"10.1167/tvst.14.2.20","url":null,"abstract":"<p><strong>Purpose: </strong>The Ocular Pain Assessment Survey (OPAS) has been used to quantify chronic ocular pain and quality of life (QOL). We aim to investigate the psychometric properties of individual OPAS items with the Rasch analysis in an Asian population of dry eye disease and neuropathic corneal pain (NCP).</p><p><strong>Methods: </strong>Question responses were obtained from 196 patients; 138 with dry eye disease (DED) and 58 with NCP, at the Singapore National Eye Centre. Item hierarchy, item fit statistics, item separation, reliability indices, and Yen's Q3 values were calculated.</p><p><strong>Results: </strong>Individual dimensions that quantify eye pain levels in the past 24 hours and QOL showed good discriminative ability according to their person separation index values. However, individual dimensions that measured eye pain in the past 2 weeks, non-eye pain, as well as aggravating and associated factors showed suboptimal person separation index values. Significant correlations were found between the individual item pairs of the aggravating factors dimension as well as between some of the items in the QOL and associated factors dimensions.</p><p><strong>Conclusions: </strong>Two dimensions of the OPAS questionnaire were validated with the Rasch analysis. Based on these findings, we shorten the number of questions in some dimensions to improve the performance of the tool in similar Asian populations.</p><p><strong>Translational relevance: </strong>Our study provides insights to improve the existing OPAS for real-world clinical applications and clinical trials.</p>","PeriodicalId":23322,"journal":{"name":"Translational Vision Science & Technology","volume":"14 2","pages":"20"},"PeriodicalIF":2.6,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11838117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143441423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}