Non-Mydriatic Ultra-Wide Field Imaging Versus Dilated Fundus Exam and Intraoperative Findings for Assessment of Rhegmatogenous Retinal Detachment

EVALUATING ULTRA-WIDEFIELD IMAGING UTILITY IN THE DETECTION OF TREATMENT-REQUIRING PERIPHERAL RETINAL TEARS AND HOLES

PURPOSE

To determine the utility of ultra-widefield (UWF) imaging in detecting pathologic peripheral retinal tears and holes.

METHODS

This was a retrospective, observational study. One-hundred ninety-eight eyes of 198 patients diagnosed with acute posterior vitreous detachment were included. Eyes were divided into two groups: 89 eyes with peripheral retinal holes and tears treated with laser retinopexy (treatment group) and 109 control eyes. Patients underwent UWF imaging and indirect ophthalmoscopy with scleral depression. UWF images from both groups were reviewed by two blinded graders and then compared with funduscopic examination and medical records.

RESULTS

UWF imaging identified 60 of the 89 eyes (sensitivity of 67.4%) found to have treatment-requiring peripheral retinal lesions and 107 of the 109 control eyes (specificity of 98.2%).The distribution of misses based on octant location did reach statistical significance ( P = 0.004). Lesions anterior to the equator were more likely to be missed (21/41 eyes, 51.2%) compared with those located posterior to the equator (4/20 eyes, 25.0%) and at the equator (4/28, 14.3%), P = 0.002. The combined discordance rate between graders in the entire cohort was 12.1% (24/198 eyes) yielding an interrater agreement of 87.9%.

CONCLUSION

UWF imaging showed a moderate sensitivity and high specificity in detecting treatment-requiring retinal tears and holes, with high interrater agreement. Given there is only a moderate sensitivity in identifying treatment-requiring retinal tears and holes, UWF imaging can assist with clinical examination, but a 360-degree scleral depressed examination should remain the gold standard.

A new diagnostic method for retinal breaks in patients with posterior vitreous detachment: Ultra-wide-field imaging with the Zeiss Clarus 700

PURPOSE

This study was performed with the aim of finding a more convenient and less time-consuming method to diagnose retinal breaks in posterior vitreous detachment (PVD) patients.

METHODS

A prospective double-blind observational case study was performed with patients who were admitted to the Eye Emergency Department Sahlgrenska University Hospital with PVD symptoms and approved to participate in the study (n = 128). Standard slit lamp examination was compared with images from a Zeiss Clarus 700 ultra-wide-field camera (UWFC). Patients were examined and photographed by an independent operator. Data and image review was performed by three independent reviewers with varying experience. Retinal break detection with the two different methods (detailed eye examination by well-trained ophthalmologist and UWFC evaluations) was analysed statistically.

RESULTS

After excluding diagnoses other than PVD as well as unclear images due to cataracts, vitreous bleeding, etc., a total of 103 eyes with PVD were evaluated. A total of 38 ruptures in 25 patients were detected by routine examination and were subjected to laser treatment. UWFC images were reviewed by three ophthalmology consultants and compared with routine examinations. Sensitivity values in detecting retinal ruptures in UWFC images of the three reviewers were 0.89, 0.87 and 0.79, and specificity values were 0.88, 0.86 and 0.93 (kappa values: 0.742, 0.689 and 0.728) respectively.

CONCLUSION

Although there have been rapid developments in imaging with UWFC in recent years and it is a very promising method for the future, routine clinical examination is still the only valid method for the detection of retinal tears today.

Ultra-wide-field fundus photography compared to ophthalmoscopy in diagnosing and classifying major retinal diseases

To analyze the performance of ultra-wide-field (UWF) fundus photography compared with ophthalmoscopy in identifying and classifying retinal diseases. Patients examined for presumed major retinal disorders were consecutively enrolled. Each patient underwent indirect ophthalmoscopic evaluation, with scleral depression and/or fundus biomicroscopy, when clinically indicated, and mydriatic UWF fundus imaging by means of CLARUS 500™ fundus camera. Each eye was classified by a clinical grader and two image graders in the following groups: normal retina, diabetic retinopathy, vascular abnormalities, macular degenerations and dystrophies, retinal and choroidal tumors, peripheral degenerative lesions and retinal detachment and myopic alterations. 7024 eyes of new patients were included. The inter-grader agreement for images classification was perfect (kappa = 0.998, 95% Confidence Interval (95%CI) = 0.997-0.999), as the two methods concordance for retinal diseases diagnosis (kappa = 0.997, 95%CI = 0.996-0.999) without statistically significant difference. UWF fundus imaging might be an alternative to ophthalmoscopy, since it allows to accurately classify major retinal diseases, widening the range of disorders possibly diagnosed with teleophthalmology. Although the clinician should be aware of the possibility that a minority of the most peripheral lesions may be not entirely visualized, it might be considered a first line diagnostic modality, in the context of a full ophthalmological examination.

Morphological characteristics of retinal vessels in eyes with high myopia: Ultra-wide field images analyzed by artificial intelligence using a transfer learning system

Purpose

The purpose of this study is to investigate the retinal vascular morphological characteristics in high myopia patients of different severity.

Methods

317 eyes of high myopia patients and 104 eyes of healthy control subjects were included in this study. The severity of high myopia patients is classified into C0-C4 according to the Meta Analysis of the Pathologic Myopia (META-PM) classification and their vascular morphological characteristics in ultra-wide field imaging were analyzed using transfer learning methods and RU-net. Correlation with axial length (AL), best corrected visual acuity (BCVA) and age was analyzed. In addition, the vascular morphological characteristics of myopic choroidal neovascularization (mCNV) patients and their matched high myopia patients were compared.

Results

The RU-net and transfer learning system of blood vessel segmentation had an accuracy of 98.24%, a sensitivity of 71.42%, a specificity of 99.37%, a precision of 73.68% and a F1 score of 72.29. Compared with healthy control group, high myopia group had smaller vessel angle (31.12 ± 2.27 vs. 32.33 ± 2.14), smaller fractal dimension (Df) (1.383 ± 0.060 vs. 1.424 ± 0.038), smaller vessel density (2.57 ± 0.96 vs. 3.92 ± 0.93) and fewer vascular branches (201.87 ± 75.92 vs. 271.31 ± 67.37), all P < 0.001. With the increase of myopia maculopathy severity, vessel angle, Df, vessel density and vascular branches significantly decreased (all P < 0.001). There were significant correlations of these characteristics with AL, BCVA and age. Patients with mCNV tended to have larger vessel density (P < 0.001) and more vascular branches (P = 0.045).

Conclusion

The RU-net and transfer learning technology used in this study has an accuracy of 98.24%, thus has good performance in quantitative analysis of vascular morphological characteristics in Ultra-wide field images. Along with the increase of myopic maculopathy severity and the elongation of eyeball, vessel angle, Df, vessel density and vascular branches decreased. Myopic CNV patients have larger vessel density and more vascular branches.