Search In this Thesis
   Search In this Thesis  
العنوان
Macular thickness and volume analysis in primary open angel glaucoma by optical coherence tomography /
المؤلف
Barsoom, Marina Naiem George.
هيئة الاعداد
باحث / مارينا نعيم جورج برسوم
مشرف / طارق احمد محسن
مشرف / نشأت شوقي ذكي
مشرف / أمجد محمود النقراشي
الموضوع
Glaucoma.
تاريخ النشر
2023.
عدد الصفحات
114 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
طب العيون
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة المنصورة - كلية الطب - قسم طب وجراحة العيون
الفهرس
Only 14 pages are availabe for public view

from 114

from 114

Abstract

Primary open angle glaucoma (POAG) is the most common type of glaucoma, which is considered chronic, progressive optic neuropathy. As glaucoma is the second leading cause of blindness in the world, in adults, glaucoma is asymptomatic until significant visual field loss has occurred. The main goal of glaucoma management is to diagnose he disease when it is asymptomatic. The aim of this study was to compare the difference of retinal macular thickness and macular volume using optical coherence tomography (OCT) in glaucomatous patients with the normal subjects and primary open angle glaucoma could be diagnosed from O.C.T macula at certain cut point. This study included 50 eyes of healthy control subjects and 50 eyes with primary open angle glaucoma .All patients underwent full ophthalmic examination including: visual acuity assessment, anterior segment slit-lamp examination, refraction, fundus examination, intraocular pressure measurement. The comparison between patients and controls according to the to macular thickness and volume showed that significantly lower measurements in patients with different stages of glaucoma than controls, The mean foveal thickness in control group was 249.8±18.62 µm and in the glaucoma patients 233.0±23.6 µm . The mean inner thickness in control group was 306.9±20.8 µm, 304.12±20.3 µm, 306.5±14.5 µm, 295.5±17.9 µm in inner superior, inferior, nasal, temporal respectively, and in the glaucoma patients was 278.5±31.5 µm, 278.14±32.1 µm, 276.9±31.8 µm, 274.9±29.1 µm in inner superior, inferior, nasal, temporal respectively .The mean outer macular thickness in control group was 264.7±19.9 µm, 264.4±18.8 µm, 280.4±18.3 µm, 261.3±24.5 µm in superior, inferior, nasal, temporal respectively, and in the glaucoma patients 240.3±22.4 µm, 237.9±21.5 µm, 255.5±26.8 µm, 234.9±20.7 µm in superior, inferior, nasal, temporal respectively .The mean foveal volume in control group was 0.20±0.013 µm³ and in the glaucoma patients 0.19±0.03 µm³. The mean inner volume in control group was 0.47±0.058 µm³, 0.47±0.04 µm³, 0.47±0.03 µm³, 0.46±.04 µm³ in inner superior, inferior, nasal, temporal respectively, and in the glaucoma patients was 0.43±0.07 µm³, 0.42±0.06 µm³, 0.44±0.05 µm³, 0.42±0.07 µm³ in inner superior, inferior, nasal, temporal respectively .The mean outer macular volume in control group was 1.4±0.10 µm³, 1.4±0.098 µm³, 1.5±0.096 µm³, 1.3±0.1 µm³ in inner superior, inferior, nasal, temporal respectively, and in the glaucoma patients 1.24±0.14 µm³, 1.3±0.14 µm³, 1.4±0.13 µm³, 1.2±0.14 µm³ in inner superior, inferior, nasal, temporal respectively .Conclusion Macular thickness and volume analysis with OCT tomograms may be a useful method of documenting patients with glaucoma.This data conclude that macular parameters such as inner and outer macualr thickness and volume can be used in addition to RNFL thickness parameters to aid diagnosis glaucoma in certain conditions as disc abnormalties and peripapillary atrophy.This study shows a significant difference in macular volume and thickness between normal, compared to glaucomatous eyes so they could be used as reliable indicators to differentiate between cases and the normal subjects. Recommendations Analysis of OCT imaging has greatly benefited from artificial intelligence to expand patient screening and facilitate clinical decision-making. Artificial intelligence programs seek to simulate intelligent human behavior in computers. With an abundance of patient data, especially with the advent and growing use of imaging modalities such as OCT, AI programs provide us with the unique opportunity to analyze this plethora of information and assist in making clinical decisions in the field of ophthalmology. In future With the help of AI, we might finally be able to diagnose glaucoma in borderline cases and start appropriate treatment early. We may even be able to predict the course of glaucoma.