Ultra-wide field fundus autofluorescence (FAF) imaging is a new noninvasive technique with an imaging range of about 200 °. It can detect peripheral retinal lesions that cannot be found in previous FAFs and more objectively reflect intracellular content and distribution of lipofuscin in the retinal pigment epithelium (RPE) and RPE cell metabolic status. The ultra-wide field FAF can find the abnormal autofluorescence (AF) in the peripheral retina of the eyes of age-related macular degeneration (AMD), and different AF manifestations may have an impact on the diagnosis and treatment of the different AMD subtypes. It is helpful to evaluate subretinal fluid in the eyes of central serous choroidal retinopathy and can accurately detect the changes in the outer retina of the eyes without subretinal fluid. It can help to determine the type of uveitis and fully display the evolution of the disease. It can also assess the peripheral photoreceptor cell layer and RPE in patients with retinal dystrophy and retinitis pigmentosa, and comprehensively evaluate their retinal function and monitor the progress of disease. It can also assist in the evaluation of the short-term efficacy and RPE cell function after the scleral buckling surgery for patients with rhegmatogenous retinal detachment. In the future, ultra-wide field FAF may change the knowledge and intervention strategy of ocular fundus diseases and promote the clinical and scientific research in this field.
At present, artificial intelligence (AI) has been widely used in the diagnosis and treatment of various ophthalmological diseases, but there are still many problems. Due to the lack of standardized test sets, gold standards, and recognized evaluation systems for the accuracy of AI products, it is difficult to compare the results of multiple studies. When it comes to the field of image generation, we hardly have an efficient approach to evaluating research results. In clinical practice, ophthalmological AI research is often out of touch with actual clinical needs. The requirements for the quality and quantity of clinical data put more burden on AI research, limiting the transformation of AI studies. The prediction of systemic diseases based on fundus images is making progressive advancement. However, the lack of interpretability of the research lower the acceptance. Ophthalmology AI research also suffer from ethical controversy due to unconstructed regulations and regulatory mechanisms, concerns on patients’ privacy and data security, and the risk of aggravating the unfairness of medical resources.
Objective To investigate the characteristics of ultrasonogram of eyes with silicon oil tamponade. Methods Forty-seven patients (47 eyes) who had undergone the operation of silicon-oil removing were examined by A-(to determine the length of ocular axis) and B-scan before and after the operation respectively. The length of ocular axis and cubage of vitreous chamber were detected and the characteristics of the ultrasonograms were observed according to the default parameters of ultrasonograph. Results The results of A-scan showed that the preoperative axial length was 1.465 times of the postoperative one in the eyes without lens, and 1.284 times in eyes with lens; after modified the parameter according to the acoustic velocity, the preoperative axial length was (0.78±0.34) mm longer than the postoperative one in the eyes without lens, and (0.56±0.32) mm in eyes with lens. The results of A-scan showed that the cubage of vitreous chamber enlarged obviously in eyes with silicon oil tamponade, and the acoustic features included complete filling and partial filling according to the amount of silicon oil. Several arc echoes at the posterior segment of eye were detected in the silicon-oil-filling eyes with retinal detachment. Conclusion In the silicon-oil-filling eyes with lengthened ocular axis, the characteristics of B-scan images are affected by acoustic velocity through silicon oil, the amount of silicon oil capacity and the emulsification of silicon oil. (Chin J Ocul Fundus Dis，2004，20：349-351)
Purpose To investigate the association between the macular volume and thickness, as assessed by optical coherence tomography (OCT), with refraction state and axial length (AL) in children. Methods A total of 100 normal children whose right eyes were randomly selected were divided into five groups due to their refraction, comprising hyperopia, emmetropia, low myopia, moderate myopia, high myopia. The AL of the eyes was measured by IOL mas ter measuring machine. Then the macular volume and thickness were measured by OCT. Results Children with high myopia have smaller macular volume and thinner parafoveal retinal thickness (especially out-ring macular). The minimum thickness and average thickness of the fovea were not significantly different among the five groups. The macular volume ,total average macular thickness and quadrant-specific macular thickness(except the nasal inner quadrants) were positively associated with refraction and negatively associated with AL, while t here were no correlation between minimum foveal thickness, the average foveal th ickness and refraction or AL. Conclusions In Chinese children, increasing axial length was associated with reduced macular volume and thickness (except the foveal region and the nasal inner quadrant). (Chin J Ocul Fundus Dis,2008,24:114-117)
With the rapid development of artificial intelligence (AI), especially deep learning, AI research in the field of ophthalmology has presented a trend of diversification in disease types, generalization in scenarios and deepening in researches. The AI algorithm has showed a good performance in the studies of diabetic retinopathy, age-related macular degeneration, glaucoma and other ocular diseases, yielding up the great potential of ophthalmic AI. However, most studies are still in their infancy, and the application of ophthalmic AI still faces many challenges such as lack of interpretability for results, deficiency of data standardization, and insufficiency of clinical applicability. At the same time, it should also be noted that the development of multi-modal imaging, the innovation of digital technologies (such as 5G and the Internet of Things) and telemedicine, and the new discovery that retina status can reflect systemic diseases have brought new opportunities for the development of ophthalmic AI. Learn the current status of AI research in the field of ophthalmology, grasp the new challenges and opportunities in its development process, successfully realizing the transformation of ophthalmic AI from research to practical application.
ObjectiveTo summarize the diagnosis and measurement methods of bone defect in anterior shoulder instability (glenoid bone defect and Hill-Sachs lesion).MethodsThe related literature on the diagnosis and measurement of the bone defect in anterior shoulder instability was reviewed and summarized.ResultsThe commonly used techniques for the diagnosis of anterior glenoid bone defect and Hill-Sachs lesion of humeral head include X-ray, CT, MRI, arthroscopy, arthrography. The methods for measuring the degree of anterior glenoid bone defect include Griffith method, glenoid index method, Pico method, and best-fit circle method. The indexes for measuring the Hill-Sachs lesion include the length, width, depth, and volume. X-ray is mainly used for primary screening. Best-fit circle method on three-dimensional (3D) CT reconstruction is commonly used to measure the glenoid bone defect currently. Glenoid track theory on 3D CT reconstruction is popular in recent years. Reliability of measuring the glenoid bone defect and Hill-Sachs lesion with MRI and arthroscopy is still debatable. Arthrography is more and more used in the diagnosis of shoulder joint instability of bone defect and concomitant soft tissue injury.ConclusionHow to improve the accuracy of evaluating glenoid bone defect and Hill-Sachs lesion before surgery still need further study.
Ultra-wide-field fluorescein angiography (UWFA) can obtain very wide retinal images (up to 200°), and is a very helpful tool to detect peripheral retinal lesions which cannot be found by other imaging methods. Analyzing the characteristics of the UWFA images may improve our understanding, treatment outcomes and management strategies of ocular fundus diseases. However this technology is still in its premature stage, there is still a lot of work to be done to improve its clinical application and study the characteristics and clinical meanings of these peripheral retinal lesions.
ObjectiveTo observe the demographic data, disease composition and convenience of remote consultation in ophthalmology. MethodsA retrospective study. From 2015 to 2021, the demographic data, changing trends, disease classification of teleconsultation patients, and hospitals participating in teleconsultation, and the waiting time of patients for teleconsultation was analyzed retrospectively; remote consultation physician level composition and other data was analyzed. ResultsDuring the 7-year period, 1 216 patients with remote consultation were obtained through the platform of the telemedicine center. Among them, there were 680 males and 536 females; the average age was 50.8 years. In 2016 and 2017, the number of patients participating in telemedicine consultations reached a peak of 260 and 221 cases, respectively. Among the ophthalmic diseases, there were 490 cases (40.30%, 490/1 216) of retinal and optic nerve-related diseases, 212 cases (17.43%, 212/1 216) of ocular trauma. 678 cases (56.27%, 678/1 205) of remote consultation waiting time were less than 24 hours, 991 cases (82.24%, 991/1 205) were less than 48 hours. Among the physicians who participated in the remote consultation, there were 733 chief physicians (60.3%, 733/1 216) and 466 deputy chief physicians (38.3%, 466/1 216). ConclusionsDuring the seven-year period from 2015 to 2021, there are relatively few patients with ophthalmology teleconsultation; retinal and optic nerve-related diseases accounted for a high proportion. Remote consultation has high convenience.