High Dynamic Range Image Processing for Retinal Color Fundus Photography.

BACKGROUND AND OBJECTIVE: Color fundus photography is an important imaging modality that is currently limited by a narrow dynamic range. We describe a post-image processing technique to generate high dynamic range (HDR) retinal images with enhanced detail. PATIENTS AND METHODS: This was a retrospective, observational case series evaluating fundus photographs of patients with macular pathology. Photographs were acquired with three or more exposure values using a commercially available camera (Topcon 50-DX). Images were aligned and imported into HDR processing software (Photomatix Pro). Fundus detail was compared between HDR and raw photographs. RESULTS: Sixteen eyes from 10 patients (5 male, 5 female; mean age 59.4 years) were analyzed. Clinician graders preferred the HDR image 91.7% of the time (44/48 image comparisons), with good grader agreement (81.3%, 13/16 eyes). CONCLUSIONS: HDR fundus imaging is feasible using images from existing fundus cameras and may be useful for enhanced visualization of retinal detail in a variety of pathologic states. [Ophthalmic Surg Lasers Imaging Retina 2024;55:263-269.].

Pupil size measurements with a multifunctional aberrometer/coherence interferometer/tomographer and two infrared-based pupillometers.

PURPOSE: To compare precision of pupil size measurements of a multifunctional device (Pentacam AXL Wave [Pentacam]) and 2 infrared-based pupillometers (PupilX, Colvard) and to compare repeatability of Pentacam and PupilX. SETTING: Department of Ophthalmology, Goethe-University, Frankfurt am Main, Germany. DESIGN: Prospective, comparative trial. METHODS: Pupil diameter of healthy eyes was measured with Colvard once and Pentacam without glare (WO) and with glare (WG), PupilX in 0, 1, and 16 lux 3 times each. In a second series, measurements with Pentacam WO and PupilX in 0.06 and 0.12 lux were assessed. RESULTS: 36 eyes of participants aged 21 to 63 years were included. Mean pupil diameter was 6.05 mm with Colvard, 5.79 mm (first series), 5.50 mm (second series) with Pentacam WO, 3.42 mm WG, 7.26 mm PupilX in 0, 4.67 mm 1, 3.66 mm 16, 6.82 mm in 0.06, and 6.39 mm in 0.12 lux. Measurements with Pentacam WO were significantly different to PupilX in 0, 0.06, 0.12, and 1 lux (all P < .001), but not to Colvard ( P = .086). Pupil size measured with Pentacam WG and PupilX in 16 lux was not significantly different ( P = .647). Consecutive measurements with Pentacam WO and WG had mean SD of 0.23 mm and 0.20 mm, respectively, and with PupilX 0.11 in 0, 0.24 mm 1, and 0.20 mm in 16 lux. CONCLUSIONS: Pentacam provided good assessment of pupil size but was not equivalent to PupilX in low lighting conditions. Repeatability was more favorable for Pentacam.

Insights into the diagnosis and management of sarcoid uveitis: A review.

Sarcoidosis is a leading cause of non-infectious uveitis that commonly affects middle-aged individuals and has a female preponderance. The disease demonstrates age, sex and ethnic differences in clinical manifestations. A diagnosis of sarcoidosis is made based on a compatible clinical presentation, supporting investigations and histologic evidence of non-caseating granulomas, although biopsy is not always possible. Multimodal imaging with widefield fundus photography, optical coherence tomography and angiography can help in the diagnosis of sarcoid uveitis and in the monitoring of treatment response. Corticosteroid remains the mainstay of treatment; chronic inflammation requires steroid-sparing immunosuppression. Features on multimodal imaging such as vascular leakage may provide prognostic indicators of outcome. Female gender, prolonged and severe uveitis, and posterior involving uveitis are associated with poorer visual outcomes.

Correction Method for Optical Scaling of Fundoscopy Images: Development, Validation, and First Implementation.

Purpose: Although fundus photography is extensively used in ophthalmology, refraction prevents accurate distance measurement on fundus images, as the resulting scaling differs between subjects due to varying ocular anatomy. We propose a PARaxial Optical fundus Scaling (PAROS) method to correct for this variation using commonly available clinical data. Methods: The complete optics of the eye and fundus camera were modeled using ray transfer matrix formalism to obtain fundus image magnification. The subject's ocular geometry was personalized using biometry, spherical equivalent of refraction (RSE), keratometry, and/or corneal topography data. The PAROS method was validated using 41 different eye phantoms and subsequently evaluated in 44 healthy phakic subjects (of whom 11 had phakic intraocular lenses [pIOLs]), 29 pseudophakic subjects, and 21 patients with uveal melanoma. Results: Validation of the PAROS method showed small differences between model and actual image magnification (maximum 3.3%). Relative to the average eye, large differences in fundus magnification were observed, ranging from 0.79 to 1.48. Magnification was strongly inversely related to RSE (R2 = 0.67). In phakic subjects, magnification was directly proportional to axial length (R2 = 0.34). The inverse relation was seen in pIOL (R2 = 0.79) and pseudophakic (R2 = 0.12) subjects. RSE was a strong contributor to magnification differences (1%-83%). As this effect is not considered in the commonly used Bennett-Littmann method, statistically significant differences up to 40% (mean absolute 9%) were observed compared to the PAROS method (P < 0.001). Conclusions: The significant differences in fundus image scaling observed among subjects can be accurately accounted for with the PAROS method, enabling more accurate quantitative assessment of fundus photography.

Diagnostic methods for primary vitreoretinal lymphoma: A systematic review.

Primary vitreoretinal lymphoma is a potentially aggressive intraocular malignancy with poor systemic prognosis and sometimes significant diagnostic delays as it may masquerade as chronic uveitis. Despite the variety of diagnostic techniques, it is unclear which modality is most accurate in the diagnosis of PVRL. A systematic literature search was conducted on Ovid MEDLINE, EMBASE and the Cochrane Controlled Register of Trials for studies published between January, 2000, and June, 2023. Randomized controlled trials (RCTs) reporting on the following diagnostic tools used to diagnose patients with PVRL were included: cytology, flow cytometry, MYD88 L265P mutation, CD79B mutation, interleukin 10/interleukin-6 (IL-10/IL-6) ratio, polymerase chain reaction (PCR) for monoclonal immunoglobulin heavy chain (IgH) and immunoglobulin kappa light chain (IgK) rearrangements, and imaging findings. The aggregated sensitivity of each diagnostic modality was reported and compared using the chi-squared (χ2) test. A total of 662 eyes from 29 retrospective studies reporting on patients diagnosed with PVRL were included. An IL-10/IL-6 ratio greater than 1 had the highest sensitivity (89.39%, n = 278/311 eyes, n = 16 studies) for PVRL, where the sensitivity was not significantly different when only vitreous samples were drawn (88.89%, n = 232/261 eyes, n = 13 studies) compared to aqueous samples (83.33%, n = 20/24, n = 2) (p = 0.42). Flow cytometry of vitreous samples gave a positive result in 66/75 eyes (88.00%, n = 6 studies) with PVRL, and monoclonal IgH rearrangements on PCR gave a positive result in 354/416 eyes (85.10%, n = 20 studies) with PVRL. MYD88 L265P and CD79B mutation analysis performed poorly, yielding a positive result in 63/90 eyes (70.00%, n = 8 studies) with PVRL, and 20/57 eyes (35.09%, n = 4 studies) with PVRL, respectively. Overall, our systematic review found that an IL-10/IL-6 ratio greater or equal to one may provide the highest sensitivity in identifying patients with PVRL. Future studies are needed to employ multiple diagnostic tools to aid in the detection of PVRL and to further establish nuanced guidelines when determining the optimal diagnostic tool to use in diverse patient populations.

Rastreamento da retinopatia diabética pelo médico generalista na Atenção Primária de Saúde do Brasil / Screening of diabetic retinopathy by the physician of Primary Health Care in Brazil

RESUMO Objetivo: Avaliar a acurácia de médicos generalistas em reconhecer a retinopatia diabética por meio da retinografia colorida, com um curso de capacitação com duração de 2 horas, comparando a capacidade de rastrear e classificar a retinopatia diabética em relação ao exame presencial com oftalmologista. Métodos: No primeiro braço do estudo, de 142 pacientes diabéticos incluídos, avaliaram-se 274 olhos, em que esses pacientes foram examinados com oftalmoscópio binocular indireto e classificados quanto ao grau da retinopatia diabética. No segundo braço do estudo, 14 médicos não especialistas em oftalmologia receberam um treinamento de 2 horas para o diagnóstico de retinopatia diabética com a retinografia colorida e se aferiu a acurácia desses profissionais em rastrear a retinopatia diabética antes e depois do curso de capacitação, utilizando as retinografias obtidas na primeira frente do estudo. Resultados: Verificou-se aumento significativo da sensibilidade (82% para 99%) e da especificidade (44% para 83%) na detecção da retinopatia diabética pelos médicos generalistas, com o curso de capacitação. Conclusão: O médico generalista capacitado pode avaliar a retinopatia diabética por meio da retinografia colorida, sendo o programa de rastreamento dessa complicação do diabetes uma proposta viável e benéfica ao país.

ABSTRACT Objective: To assess the accuracy of general practitioners in recognizing diabetic retinopathy through color retinal retinography, with a two-hour training course, by comparing the capacity of screening and classifying diabetic retinopathy. Methods: In the first arm of the study, of 142 diabetic patients included, 274 eyes were evaluated, and these patients were examined with an indirect binocular ophthalmoscope and classified according to the degree of diabetic retinopathy. In the second arm of the study, 14 physicians who are not specialists in ophthalmology received two-hour training to diagnose diabetic retinopathy with color retinography, and the accuracy of these professionals in screening for diabetic retinopathy before and after the training course was measured using the photographic images obtained on the first front of the study. Results: There was a significant increase in sensitivity (82% to 99%) and specificity (44% to 83%) in detecting diabetic retinopathy by general practitioners, after attending the training. Conclusion: Qualified general practitioners can assess diabetic retinopathy through color retinography, and the screening program for this diabetes complication is a viable and beneficial proposal for the country.

Donut: Augmentation Technique for Enhancing The Efficacy of Glaucoma Suspect Screening.

Glaucoma is the second most common cause of blindness. A glaucoma suspect has risk factors that increase the possibility of developing glaucoma. Evaluating a patient with suspected glaucoma is challenging. The "donut method" was developed in this study as an augmentation technique for obtaining high-quality fundus images for training ConvNeXt-Small model. Fundus images from GlauCUTU-DATA, labelled by randomizing at least 3 well-trained ophthalmologists (4 well-trained ophthalmologists in case of no majority agreement) with a unanimous agreement (3/3) and majority agreement (2/3), were used in the experiment. The experimental results from the proposed method showed the training model with the "donut method" increased the sensitivity of glaucoma suspects from 52.94% to 70.59% for the 3/3 data and increased the sensitivity of glaucoma suspects from 37.78% to 42.22% for the 2/3 data. This method enhanced the efficacy of classifying glaucoma suspects in both equalizing sensitivity and specificity sufficiently. Furthermore, three well-trained ophthalmologists agreed that the GradCAM++ heatmaps obtained from the training model using the proposed method highlighted the clinical criteria.Clinical relevance- The donut method for augmentation fundus images focuses on the optic nerve head region for enhancing efficacy of glaucoma suspect screening, and uses Grad-CAM++ to highlight the clinical criteria.

Examination of alternative eGFR definitions on the performance of deep learning models for detection of chronic kidney disease from fundus photographs.

Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus photographs. However, previous studies have utilized a serum creatinine-only estimated glomerular rate (eGFR) equation to measure kidney function despite the development of more up-to-date methods. In this study, we developed two sets of DL models using fundus images from the UK Biobank to ascertain the effects of using a creatinine and cystatin-C eGFR equation over the baseline creatinine-only eGFR equation on fundus image-based DL CKD predictors. Our results show that a creatinine and cystatin-C eGFR significantly improved classification performance over the baseline creatinine-only eGFR when the models were evaluated conventionally. However, these differences were no longer significant when the models were assessed on clinical labels based on ICD10. Furthermore, we also observed variations in model performance and systemic condition incidence between our study and the ones conducted previously. We hypothesize that limitations in existing eGFR equations and the paucity of retinal features uniquely indicative of CKD may contribute to these inconsistencies. These findings emphasize the need for developing more transparent models to facilitate a better understanding of the mechanisms underpinning the ability of DL models to detect CKD from fundus images.

Trends in Imaging Utilization Among United States Medicare Beneficiaries and the Impact of the COVID-19 Pandemic.

This study characterizes trends in ophthalmic imaging volume and utilization in the United States among and assesses the potential impact of the COVID-19 pandemic using data from the Centers for Medicare and Medicaid Services. Utilization of macular optical coherence tomography (OCT), optic nerve OCT, and fundus photography steadily increased from 2013 to 2020 and was not impacted by the COVID-19 pandemic. At the same time, there was minimal adoption of anterior segment OCT and a decline in the utilization of dye-based angiography. Utilization patterns may be impacted by the advent of new technologies, role of the clinician, and alignment with treatment paradigms. [Ophthalmic Surg Lasers Imaging Retina 2023;54:661-665.].

A fast and fully automated system for glaucoma detection using color fundus photographs.

This paper presents a low computationally intensive and memory efficient convolutional neural network (CNN)-based fully automated system for detection of glaucoma, a leading cause of irreversible blindness worldwide. Using color fundus photographs, the system detects glaucoma in two steps. In the first step, the optic disc region is determined relying upon You Only Look Once (YOLO) CNN architecture. In the second step classification of 'glaucomatous' and 'non-glaucomatous' is performed using MobileNet architecture. A simplified version of the original YOLO net, specific to the context, is also proposed. Extensive experiments are conducted using seven state-of-the-art CNNs with varying computational intensity, namely, MobileNetV2, MobileNetV3, Custom ResNet, InceptionV3, ResNet50, 18-Layer CNN and InceptionResNetV2. A total of 6671 fundus images collected from seven publicly available glaucoma datasets are used for the experiment. The system achieves an accuracy and F1 score of 97.4% and 97.3%, with sensitivity, specificity, and AUC of respectively 97.5%, 97.2%, 99.3%. These findings are comparable with the best reported methods in the literature. With comparable or better performance, the proposed system produces significantly faster decisions and drastically minimizes the resource requirement. For example, the proposed system requires 12 times less memory in comparison to ResNes50, and produces 2 times faster decisions. With significantly less memory efficient and faster processing, the proposed system has the capability to be directly embedded into resource limited devices such as portable fundus cameras.

C2FTFNet: Coarse-to-fine transformer network for joint optic disc and cup segmentation.

Glaucoma is a leading cause of worldwide blindness and visual impairment, making early screening and diagnosis is crucial to prevent vision loss. Cup-to-Disk Ratio (CDR) evaluation serves as a widely applied approach for effective glaucoma screening. At present, deep learning methods have exhibited outstanding performance in optic disk (OD) and optic cup (OC) segmentation and maturely deployed in CAD system. However, owning to the complexity of clinical data, these techniques could be constrained. Therefore, an original Coarse-to-Fine Transformer Network (C2FTFNet) is designed to segment OD and OC jointly , which is composed of two stages. In the coarse stage, to eliminate the effects of irrelevant organization on the segmented OC and OD regions, we employ U-Net and Circular Hough Transform (CHT) to segment the Region of Interest (ROI) of OD. Meanwhile, a TransUnet3+ model is designed in the fine segmentation stage to extract the OC and OD regions more accurately from ROI. In this model, to alleviate the limitation of the receptive field caused by traditional convolutional methods, a Transformer module is introduced into the backbone to capture long-distance dependent features for retaining more global information. Then, a Multi-Scale Dense Skip Connection (MSDC) module is proposed to fuse the low-level and high-level features from different layers for reducing the semantic gap among different level features. Comprehensive experiments conducted on DRIONS-DB, Drishti-GS, and REFUGE datasets validate the superior effectiveness of the proposed C2FTFNet compared to existing state-of-the-art approaches.

Hertel-exophthalmometry-like multi-detector-row-CT-exophthalmometry: inter-disciplinary inter-observer reproducibility of measurements.

OBJECTIVES: To investigate the interdisciplinary interobserver reproducibility of Hertel-exophthalmometry-like protrusion measurements on multidetector-row-computed-tomography- (MDCT-) images of the orbit to facilitate structured evaluation of the orbit and mid-face. METHODS: Respective reproducibility of base-length along the interfronto-zygomatic line, right and left ocular protrusion, and deriving interocular difference was measured in this retrospective (04/2009-03/2020) single-centre observational study. MDCT-series and slice-positions were selected independently, using picture-archiving-and-communication-system- (PACS-) tools on tilt-corrected axial MDCT-images (slice-thickness 0.6-3.0 mm, window/centre 350/50 HU) in 37 selected adult patients (24 female, age 57 ± 13 years, average±standard-deviation) with clinical indication for Hertel-exophthalmometry, by one radiology-attending, two ophthalmology-attendings, one critical-care-attending, and one ear-nose-throat-surgery resident, respectively. Bland-Altman plots and Wilcoxon-matched-pairs-signed-rank-tests compared interobserver results. RESULTS: Mean and median interobserver and intraobserver (radiology-attending) deviations were within 1 mm of respective averages of base-length (98 ± 4 mm), right and left ocular protrusion (21 ± 4 mm) and interocular difference (2 ± 1 mm). Relative interobserver deviations were within 2.0% of average (all patients) for base-length, and 5.0% (>80% of patients) for ocular protrusion. Pairwise interobserver comparison showed no significant differences between interocular differences of protrusion. CONCLUSIONS: Respective measurements of base-length, ocular protrusion, and deriving interocular difference show high interdisciplinary interobserver reproducibility in tilt-corrected axial MDCT-images of the orbit or mid-face. ADVANCES IN KNOWLEDGE: Hertel-exophthalmometry-like protrusion measurements did not depend on the years of experience or the medical subspecialty of the observer. Measurements are objective, well reproducible and important for multiple medical disciplines and should thus be included in pertinent radiology reports.

Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint.

Glaucoma is a chronic degenerative disease that is the second leading cause of irreversible blindness worldwide. For a precise and automatic screening of glaucoma, detecting the optic disc and cup precisely is significant. In this paper, combining the elliptical-like morphological features of the disc and cup, we reformulate the segmentation task from a perspective of ellipse detection to explicitly segment and directly get the glaucoma screening indicator. We detect the minimum bounding boxes of ellipses firstly, and then learn the ellipse parameters of these regions to achieve optic disc and cup segmentation. Considering the spatial geometry prior knowledge that the cup should be within the disc region, Paired-Box RPN is introduced to simultaneously detect the disc and cup coupled. In addition, boundary attention module is introduced to use edges of the disc and cup as an important guide for context aggregation to improve the accuracy. Comprehensive experiments clearly show that our method outperforms the state-of-the-art methods for optic disc and cup segmentation. Simultaneously, the proposed method also obtains the good glaucoma screening performance with calculated vCDR value. Joint optic disc and cup segmentation, which utilizes the elliptical-like morphological features and spatial geometry constraint, could improve the performance of optic disc and cup segmentation.

[The economic importance of individual health services (IGeL) in ophthalmology over time: survey results from 2010 and 2020]. / Die wirtschaftliche Bedeutung von Individuellen Gesundheitsleistungen (IGeL) in der Augenheilkunde über die Zeit: Umfrageergebnisse aus 2010 und 2020.

BACKGROUND: Individual health services (IGeL) enable patients to receive medical services not covered by social health care; however, there is no central data collection on IGeL in Germany. OBJECTIVE: This study illustrates the spectrum of IGeL provided in the field of ophthalmology as an example of the importance of IGeL in Germany based on survey results. MATERIAL AND METHODS: Nationwide, 10% of ophthalmologists in private practice were randomly selected in this anonymous survey in 2010 and 2020 while in 2020 in addition to the randomized 10% of ophthalmologists the same ophthalmologists from 2010 were contacted. By means of a written questionnaire, ophthalmologists were asked about their practice structure, total revenue from IGeL as well as the frequency and price of specific IGeL. RESULTS: Income from IGeL was estimated at an average of 21% of the regular service volume in 2010 and 23% in 2020. Glaucoma IGeL and medical report IGeL were offered by almost all ophthalmologists and glaucoma screening being performed most frequently with an average frequency of over 150 examinations/month. IGeL, such as HRT IGeL were offered by significantly fewer ophthalmologists in 2020 than in 2010, while IGeL based on other technological procedures such as glaucoma OCT were offered more frequently in 2020. CONCLUSION: The volume of IGeL provided in established ophthalmological practices was stable between 2010 and 2020. The range of services offered in 2020 compared to 2010 reflects a dynamic change associated with the entry of new technologies into routine care.

Uveal lymphoid hyperplasia: treatment with combination antibiotics and steroids.

BACKGROUND/AIMS: Uveal lymphoid hyperplasia (formerly benign reactive hyperplasia of the choroid) spans histopatholological characteristics ranging from reactive hyperplasia to low-grade lymphoid neoplasm. There is strong evidence that other low-grade lymphoid neoplasms, particularly of gastric derivations, respond to oral antibiotics. Here, we explore that response of uveal lymphoid hyperplasia to treatment with only oral antibiotics and steroids. METHODS: Four eyes of three patients with clinically diagnosed uveal lymphoid hyperplasia were treated with a course of oral antibiotics and steroids. The main outcome was clinical response of choroidal infiltrate by optical coherence tomography (OCT) measurements of choroidal thickness and visual acuity. Secondary outcome measure included local and systemic recurrence. Clinical response was evaluated by clinical exam, fundus photography, ultrasound and OCT. RESULTS: All 4 eyes displayed a clinical response at a median 2 weeks after starting oral antibiotics and steroid course. The choroidal infiltration regressed as evidenced by: decrease of choroidal thickness by a median of 421 nm, myopic shift in refractive error by a median of 0.50 Diopters, and improved vision by a median of 1.5 Snellen lines. At a median of 51-month follow-up, all four eyes had a sustained complete response and no patient has developed systemic disease to date. CONCLUSIONS: In this small cohort of patients with uveal lymphoid hyperplasia, measurable and sustained clinical responses were observed with antibiotics/steroids, without systemic recurrence. This suggests combination antibiotic/steroid therapy is a reasonable treatment for select cases of uveal lymphoid hyperplasia, and may avoid the need for systemic chemotherapy/monoclonal antibody and/or external beam irradiation.

Multifocal choroiditis and choroidal tuberculoma: Signs of presumed ocular tuberculosis.

The diagnosis of OTB (Ocular tuberculosis) is usually difficult to make. Definitive diagnosis requires the identification of M. tuberculosis organisms in ocular tissues or fluids, but samples are often difficult to obtain, and biopsy may be hard to justify. We describe a 50-years-old Maghreb male, who presented a multifocal choroiditis associated with a choroidal tuberculoma on the left eye. Based on positive QuantiFERON-TB-Gold test and suggestive clinical and radiographic findings, a diagnosis of presumed ocular tuberculosis was made. Serial swept-source optical coherence tomography (SS-OCT) and widefield fundus retinographies during subsequent follow-up visits demonstrated the characterization of the atypical tuberculosis presentation and allowed the assessment of response to antitubercular therapy and oral steroids.

The upcoming role of Artificial Intelligence (AI) for retinal and glaucomatous diseases.

In recent years, the role of artificial intelligence (AI) and deep learning (DL) models is attracting increasing global interest in the field of ophthalmology. DL models are considered the current state-of-art among the AI technologies. In fact, DL systems have the capability to recognize, quantify and describe pathological clinical features. Their role is currently being investigated for the early diagnosis and management of several retinal diseases and glaucoma. The application of DL models to fundus photographs, visual fields and optical coherence tomography (OCT) imaging has provided promising results in the early detection of diabetic retinopathy (DR), wet age-related macular degeneration (w-AMD), retinopathy of prematurity (ROP) and glaucoma. In this review we analyze the current evidence of AI applied to these ocular diseases, as well as discuss the possible future developments and potential clinical implications, without neglecting the present limitations and challenges in order to adopt AI and DL models as powerful tools in the everyday routine clinical practice.

Spectral-domain optical coherence tomography characteristics of cystic retinal tuft.

OBJECTIVE: To investigate the characteristics of cystic retinal tufts (CRTs) with 55° widefield spectral-domain optical coherence tomography. METHODS: This was a retrospective study. All subjects underwent a complete ocular examination, ultra-widefield (UWF) pseudocolor fundus photography and Spectral domain optical coherence tomography (SD-OCT) with a 55° widefield lens. The SD-OCT characteristics were analyzed in subjects with CRT. RESULTS: Twenty-six eyes of 25 subjects were scanned and 29 CRTs were analyzed for SD-OCT characteristics. On SD-OCT images, the CRTs exhibited hyperreflective irregular elevated lesions with internal hyporeflective cystoid cavities. Normal layers of the neuroepithelium could not be distinguished. The mean diameter of CRTs was 1022 microns (range, 117-3711 microns; standard deviation, 815 microns). There was vitreoretinal traction at the apex of CRTs. Among them, retinal tears in 24.14% (7/29), suspected retinal tears in 27.59% (8/29), and shallow neuroepithelium detachment in 31.03% (9/29). CONCLUSIONS: The widefield SD-OCT imaging can provide detailed cross-sectional anatomic information of CRT and may guide clinical treatment.