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With advancements in the implementation of artificial intelligence (AI) in different ophthalmology disciplines, it continues to have a significant impact on glaucoma diagnosis and screening. This article explores the distinct roles of AI in specialized ophthalmology clinics and general practice, highlighting the critical balance between sensitivity and specificity in diagnostic and screening models. Screening models prioritize sensitivity to detect potential glaucoma cases efficiently, while diagnostic models emphasize specificity to confirm disease with high accuracy. AI applications, primarily using machine learning (ML) and deep learning (DL), have been successful in detecting glaucomatous optic neuropathy from colored fundus photographs and other retinal imaging modalities. Diagnostic models integrate data extracted from various forms of modalities (including tests that assess structural optic nerve damage as well as those evaluating functional damage) to provide a more nuanced, accurate and thorough approach to diagnosing glaucoma. As AI continues to evolve, the collaboration between technology and clinical expertise should focus more on improving specificity of glaucoma diagnostic models to assess ophthalmologists to revolutionize glaucoma diagnosis and improve patients care.
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Purpose: To analyze causes and prognostic factors for death among Retinoblastoma (Rb) patients treated at a single specialized tertiary cancer center in Jordan. Methods: We reviewed the mortality causes for all Rb patients who have been treated at the King Hussein Cancer Center between 2003 and 2019 and were followed for at least 3 years after diagnosis. The main outcome measures included demographics, laterality, tumor stage, treatment modalities, metastasis, survival, and causes of death. Results: Twenty-four (5%) of the 478 patients died from retinoblastoma and 5-year survival was 94%. The mean age at diagnosis was 15 months (median, 18 months; range, 4-38 months); eight (33%) received diagnoses within the first year of life. Eleven (46%) were boys, 16 (67%) had bilateral disease, and 3 (13%) had a positive family history. The stage for the worst eye was C for 1 (4%) patient, D in 6 (25%) patients, and E (T3) in 15 (63%) patients. Two patients had extraocular Rb at diagnosis, and four of the patients who had intraocular Rb at diagnosis refused treatment and then came back with extraocular Rb. In total, extraocular disease was encountered in six eyes (six patients). After a 120-month median follow-up period, 24 patients (5%) died of second neoplasms (n = 3) or metastases (n = 21). Significant predictive factors for metastasis and death included advanced IIRC tumor stage (p < 0.0001), the presence of high-risk pathological features in the enucleated eyes (p = 0.013), parental refusal of the recommended primary treatment plan (p < 0.0001), and extraocular extension (p < 0.0001). Conclusion: The 5-year survival rates of Rb patients in Jordan are as high as those in high-income countries. However, 5% are still dying from metastatic disease, prompting the need for awareness campaigns to educate the public about the high cure rates and to prevent treatment abandonment.
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BACKGROUND: In the era of patient-centered medical care, using objective clinical measures to assess patient-centered outcomes in all aspects became a necessity, and pars plana vitrectomy (PPV) is a major ophthalmic surgical procedure used for the treatment of vitreoretinal disorders aiming to improve their vision-related quality of life. PURPOSE: To study the impact of PPV on visual quality of life by assessing its effect on common daily activities, to assess its association with various factors, and to explore the relations between these factors and postoperative visual function. METHODS: Vision-related quality of life for 87 patients who underwent PPV was assessed using the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25) by phone call interviews. Variables assessed include age, gender, indication of surgery, duration since surgery, preoperative best-corrected visual acuity (BCVA), postoperative BCVA, fellow eye BCVA, medical history and lens status. RESULTS: The factors significantly affecting the total score were postoperative visual acuity and fellow eye VA. Upon analyzing the effect of the indication on total score, a significant difference was found with the highest being for those who had dropped lens as the indication for surgery and the lowest was for those with tractional retinal detachment (TRDs) and inflammatory indications. Subscale analysis and visual acuity improvement were also varying between indications. CONCLUSION: VRQOL significantly improves after PPV, the improvement is variable with different indications, being the greatest for those with dropped lens and the least for TRDs and endophthalmitis, with postoperative VA being the most important factor affecting the VRQOL score.
