Ultrasound reliability in detection of retinal tear in acute symptomatic posterior vitreous detachment with vitreous hemorrhage
Abstract:Cross-sectional study of 75 consecutive patients presenting with acute symptomatic posterior vitreous detachment (ASPVD) and vitreous hemorrhage was conducted at University Eye Clinic, University Hospital "Sveti Duh", Zagreb, Croatia. To check ultrasound reliability in detecting retinal tears in patients with ASPVD, transpalpebral ultrasound of the eye and the orbit was performed followed by fundus examination initially and in 6wk period. In 13 (17%) patients membranous lesion with ultrasound characteristics o… Show more
“…Eye ultrasonography stands as a pivotal imaging technique for evaluating eye and adjacent tissue structures ( Elabjer et al, 2017 ). In the realm of ophthalmology, it holds a prominent status as a diagnostic imaging approach, offering a secure, non-invasive avenue with instantaneous, real-time feedback.…”
AimConventional approaches to diagnosing common eye diseases using B-mode ultrasonography are labor-intensive and time-consuming, must requiring expert intervention for accuracy. This study aims to address these challenges by proposing an intelligence-assisted analysis five-classification model for diagnosing common eye diseases using B-mode ultrasound images.MethodsThis research utilizes 2064 B-mode ultrasound images of the eye to train a novel model integrating artificial intelligence technology.ResultsThe ConvNeXt-L model achieved outstanding performance with an accuracy rate of 84.3% and a Kappa value of 80.3%. Across five classifications (no obvious abnormality, vitreous opacity, posterior vitreous detachment, retinal detachment, and choroidal detachment), the model demonstrated sensitivity values of 93.2%, 67.6%, 86.1%, 89.4%, and 81.4%, respectively, and specificity values ranging from 94.6% to 98.1%. F1 scores ranged from 71% to 92%, while AUC values ranged from 89.7% to 97.8%.ConclusionAmong various models compared, the ConvNeXt-L model exhibited superior performance. It effectively categorizes and visualizes pathological changes, providing essential assisted information for ophthalmologists and enhancing diagnostic accuracy and efficiency.
“…Eye ultrasonography stands as a pivotal imaging technique for evaluating eye and adjacent tissue structures ( Elabjer et al, 2017 ). In the realm of ophthalmology, it holds a prominent status as a diagnostic imaging approach, offering a secure, non-invasive avenue with instantaneous, real-time feedback.…”
AimConventional approaches to diagnosing common eye diseases using B-mode ultrasonography are labor-intensive and time-consuming, must requiring expert intervention for accuracy. This study aims to address these challenges by proposing an intelligence-assisted analysis five-classification model for diagnosing common eye diseases using B-mode ultrasound images.MethodsThis research utilizes 2064 B-mode ultrasound images of the eye to train a novel model integrating artificial intelligence technology.ResultsThe ConvNeXt-L model achieved outstanding performance with an accuracy rate of 84.3% and a Kappa value of 80.3%. Across five classifications (no obvious abnormality, vitreous opacity, posterior vitreous detachment, retinal detachment, and choroidal detachment), the model demonstrated sensitivity values of 93.2%, 67.6%, 86.1%, 89.4%, and 81.4%, respectively, and specificity values ranging from 94.6% to 98.1%. F1 scores ranged from 71% to 92%, while AUC values ranged from 89.7% to 97.8%.ConclusionAmong various models compared, the ConvNeXt-L model exhibited superior performance. It effectively categorizes and visualizes pathological changes, providing essential assisted information for ophthalmologists and enhancing diagnostic accuracy and efficiency.
Due to its accessibility and ability for real-time image acquisition of ocular structures, ultrasound has high utility in the visualization of the eye, especially in ocular oncology. In this minireview, we summarize the technical rationale and applications of ultrasound modalities, A-scan, B-scan, high-frequency ultrasound biomicroscopy (UBM), and Doppler measurement. A-scan ultrasound uses a transducer of 7–11 MHz, making it useful for determining the echogenicity of ocular tumors (7–8 MHz) and measuring the axial length of the eye (10–11 MHz). B-scan ultrasound operates at 10–20 MHz, which can be used for measuring posterior ocular tumors while UBM operates at 40–100 MHz to evaluate anterior ocular structures. Doppler ultrasonography allows for the detection of tumor vascularization. While ultrasonography has numerous clinical applications due to its favorable penetration compared with optical coherence tomography, it is still limited by its relatively lower resolution. Ultrasound also requires an experienced sonographer due to the need for accurate probe localization to areas of interest.
Background: Optimal management of non-diabetic vitreous hemorrhage (NDVH) is controversial, and reliability of B-scan ultrasonography in detecting retinal tears (RTs) has been reported to be highly variable by previous literature. Objectives: To report outcomes of conservative versus surgical management of NDVH and reliability of B-scan ultrasonography in detecting RTs and rhegmatogenous retinal detachment (RRD). Design: Retrospective observational single-center cohort study. Methods: Ninety-six consecutive NDVH from 96 eyes (96 patients) with minimum follow-up duration of 12 months were included. Results: Seventy-two eyes (75%) underwent early pars plana vitrectomy (PPV), 19 (20%) were managed conservatively and 5 (5%) underwent late PPV. Initial mean best corrected visual acuities (BCVAs) were 1.95 ± 1.19, 1.19 ± 1.38, and 1.14 ± 1.04 logMAR respectively, the difference was statistically significant ( p = 0.039). Mean final BCVAs were 0.92 ± 1.19, 0.59 ± 0.87, and 1.25 ± 1.89 logMAR, respectively, the difference was not significant ( p = 0.447). When comparing initial and final BCVAs, the difference was significant only in the early PPV group ( p = 0.00001) and was not significant in the conservative group ( p = 0.066) and in the late PPV group ( p = 0.46). Complications included RRD ( n = 2) and re-bleed in vitrectomized cavity ( n = 1) in the early surgical group, need for additional laser or cryoretinopexy to RTs ( n = 2), retinal detachment ( n = 1), neovascular glaucoma ( n = 1), persistent vitreous hemorrhage ( n = 2) in the conservative group. B-scan ultrasound showed preoperative 11.53% sensitivity and a 60.0% positive predictive value for diagnosing retinal tears (RTs) in NDVH. Conclusion: The benefit of early PPV in NDVH seems to outweigh the risks of surgery, especially in the context of low sensitivity of B-scan in identifying RTs, and significant improvement in final BCVA following surgery may occur. NDVH should be promptly referred to vitreoretinal services, as surgery may be a safer and more advisable option.
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