Purpose: We systematically reviewed the case report literature to identify cases of uveal metastases (UM) originating from Thyroid Cancers (TCs) and evaluate this condition's demographic, ophthalmologic, and oncologic characteristics. Methods: Web of Science, Medline, and Scopus databases were searched for case reports or series reporting uveal metastasis originating from a thyroid neoplasm. Articles published in any language from inception through November 2022 were searched and screened independently by two reviewers. The quality of the included studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Case Reports. Results: A total of 1049 records were detected. After removing duplicates and screening articles based on title, abstract, and full text, 46 cases from 43 studies were identified. The mean (SD) age of patients at the time of UM diagnosis was 56.521 (±15.68) years (range, 20–83 years), and 16 cases (34.78%) were reported in the elderly (˃64 years). Male patients consisted 56.52% (n=26) of the cases. Sixteen cases happened in the right eye, 19 in the left eye, and 11 cases in both eyes. In total, 39 cases (84.78%) had choroidal involvement. Papillary carcinoma was the most reported type of thyroid cancer in the patients (16/46), followed by follicular (15/46) and medullary (10/46) carcinomas of the thyroid. Conclusion: Uveal metastases may appear in metastatic thyroid neoplasms. Therefore, physicians should maintain suspicion when ocular symptoms accompany a neck mass or a history of previous thyroid malignancies.
Introduction: In countries where alcoholic beverages are legally prohibited, methanol toxicity usually occurs due to ingesting homemade alcoholic drinks. The initial ophthalmologic symptoms of methanol toxicity typically appear 6–48 hours after ingestion, and the severity of symptoms varies widely from mild and painless decreased vision to no-light perception vision. Methods This prospective study examines 20 patients with acute methanol poisoning within 10 days of use. Patients underwent ocular examinations, BCVA (Best Corrected Visual Acuity) recording, and OCTA (Optical Coherence Tomography Angiography) of the macula and optic disc. BCVA measurement and imaging were repeated one month and three months after intoxication. Results There was a statistically significant reduction in superficial parafoveal vascular density (P-value = 0.026), inner retinal thickness (P-value = 0.022), RNFL (Retinal Nerve Fiber Layer) thickness (P-value = 0.031), and an increase in cup to disc ratio (P-value < 0.001), and central visual acuity (P-value = 0.002) in this time course. However, there was no statistically significant difference in FAZ (Foveal Avascular Zone) area (P-value = 0.309), FAZ perimeter (P-value = 0.504), FD-300 (Foveal density, vascular density within a 300µm wide region of the FAZ) (P-value = 0.541), superficial vascular density (P-value = 0.187), deep foveal vascular density (P-value = 0.889), deep parafoveal vascular density (P-value = 0.830), choroidal flow area (P-value = 0.464), total retinal thickness (P-value = 0.597), outer retinal thickness (P-value = 0.067), optic disc whole image vascular density (P-value = 0.146), vascular density inside the disc (P-value = 0.864), or peripapillary vascular density (P-value = 0.680) at different times. Conclusion Over time, methanol poisoning can cause changes in retinal layers thickness, vasculature, and optic nerve head. The most important changes include cupping of the optic nerve head, reduction in RNFL thickness, and inner retinal thickness.
Nail-gun injuries are one of the most common causes of foreign bodies in soft tissue. Intraperitoneal foreign bodies caused by nail-gun injuries were usually removed surgically. We report a 20-years-old carpenter with an intraperitoneal nail, which was finally successfully removed by the ultrasound-guided interventional method for the first time.
Introduction: In this study, we systematically reviewed the literature to determine whether or not there was a correlation between lens density as measured by the Pentacam Scheimpflug System and grading score as determined by the Lens Opacities Classification System (LOCS) III in patients with age-related nuclear cataract. Methods: From 1990 to 2022, a systematic search was conducted in Medline (Ovid, PubMed), Embase, Scopus, Web of Science, ProQuest, and The Cochrane Library. Meta-analysis was performed for all observational studies that met the inclusion criteria. To assess the quality of cross-sectional and prospective studies, the JBI Checklist was used. To calculate the effect size for nuclear color (NC) and nuclear opalescence (NO), we used R programming software. In addition, we used Influence analysis to identify outliers and created forest plots with and without the detected outliers. Results: Among eight studies included in this systematic review, 965 patients with 1102 eyes were assessed with a mean age of 66.23 old years. The nuclear color and density were assessed in 4 and 6 studies, respectively. The odds ratio (OR) of the effect size was 0.72 with a 95% confidence interval (0.68, 0.76) for nuclear color, and the OR of the effect size was 0.94 with a 95% confidence interval (0.94, 0.95) for nuclear density both statistically significant. Conclusion: The Pentacam technique allowed for quantitative cataract grading and may aid in phacodynamics prediction during cataract surgery. The method is useful for detecting cataracts in patients and has broad potential in the field of health examination.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.