Characteristics of Primary Glaucoma in Eye Clinic of RA Basoeni Hospital, Mojokerto, Indonesia

Rayungsista, Awina

doi:10.20473/fmi.v54i3.10007

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Glaukoma dapat menyebabkan penderitanya mengalami kebutaan permanen. Data dari WHO, jumlah orang yang diperkirakan menjadi buta akibat glaukoma primer adalah 4,5 juta, terhitung lebih sedikit dari dua belas persen dari semua kebutaan global (Rayungsista, 2018). Berdasarkan tingkatannya glaukoma memiliki tiga tingkatan, yaitu early, moderate dan deep (advanced).…”

Section: Pendahuluanunclassified

Deep Learning untuk Klasifikasi Glaukoma dengan menggunakan Arsitektur EfficientNet

2022

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ABSTRAKGlaukoma merupakan kerusakan yang terjadi pada saraf mata yang disebabkan oleh meningkatnya tekanan di bola mata. Glaukoma dapat menyebabkan penderitanya mengalami kebutaan permanen. Data dari WHO, jumlah orang yang diperkirakan menjadi buta akibat glaukoma primer adalah 4,5 juta. Penilaian klasifikasi tingkatan glaukoma oleh ophthalmologist menggunakan nilai CDR (Cup to Disc Ratio). Maka dari itu, dibuat sistem yang dapat digunakan dalam mengklasifikasikan glaukoma melalui citra fundus mata dengan menggunakan metode CNN (Convolutional Neural Network) dengan arsitektur EfficientNet. Klasifikasi glaukoma dibagi menjadi 5 kelas, yaitu deep, early, moderate, OHT dan normal. Citra mata yang digunakan didapatkan dari dataset RimOne r1. Penelitian ini mencari sistem dengan performansi terbaik. Model yang mendapatkan parameter performansi terbaik adalah citra dengan hyperparameter optimizer Adamax, learning rate 0,001, epoch 20, dan batch size 32. Akurasi, presisi, recall, dan F1-Score masing-masing mencapai 1,0000.Kata kunci: Glaukoma, Convolutional Neural Network (CNN), EfficientNet ABSTRACTGlaucoma is the optic nerve damage caused by increasing pressure on the eyeball. Glaucoma can cause patients to encounter permanent blindness. According to WHO data, the number of people estimated to be blind from primary glaucoma is 4,5 million. Evaluation of glaucoma grade classification by ophthalmologist uses CDR (Cup to Disc Ratio) value. Therefore, a system has been created that can be used to classify glaucoma through eye fundus images using the CNN (Convolutional Neural Network) method with EfficientNet architecture. Glaucoma is classified into 5 classes, namely deep, early, moderate, OHT and normal. The used eye image is obtained from the RimOne r1 dataset. This research is looking for a system with the best performance. The model that got the best performance parameters with the hyperparameter optimizer Adamax, learning rate 0,001, epoch 20, and batch size 32. Accuracy, precision, recall, and F1-Score each reached 1,0000. Keywords: Glaucoma, Convolutional Neural Network (CNN), EfficientNet

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Section: Pendahuluanunclassified

Deep Learning untuk Klasifikasi Glaukoma dengan menggunakan Arsitektur EfficientNet

2022

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“…Sejalan dengan penelitian di Mojokerto pada tahun 2018 dimana dari 76 pasien glaukoma primer, sebanyak 71,1% juga mengalami peningkatan TIO. 18 Penelitian sebelumnya pada tahun 2011 juga didapatkan mayoritas pasien glaukoma mengalami peningkatan TIO dengan nilai rerata 28,443 mmHg pada mata kanan dan rerata TIO 25,349 pada mata kiri pada pemeriksaan pertama. 8 TIO adalah hasil dari tiga gaya vektor yang berasal dari konten bola mata, elastisitas sklera secara kontinyu dengan kornea, dan konten peribulbar.…”

Section: Pembahasanunclassified

Characteristics of Primary Glaucoma at Bali Mandara Eye Hospital Period January 1, 2018 - December 31, 2018

Sanjiwani,

Triningrat,

Jayanegara

et al. 2021

eum

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Background: Glaucoma is a group of optic neuropathies characterized by progressive degeneration of ganglion cells in the retina irreversibly causing cupping of the optic disc and causing vision loss. Considering glaucoma as the second cause of blindness after cataracts in the world and its irreversible nature, so this study was conducted to find out the characteristics of glaucoma, especially primary glaucoma at Bali Mandara Eye Hospital period January 1, 2018- December 31, 2018. Methods: This research is a retrospective descriptive study using medical record data. The sampling technique of this research is total sampling. The data obtained according to the inclusion and exclusion criteria were 41 data which were then analyzed using SPSS version 25. Results: This study showed that 38.1% of patients were in the 51-60 years age group. Most of the patients were male (54.8%). The majority live in the Denpasar area (21.4%). POAG was the most common type of primary glaucoma (78.6%). As many as 54.8% of patients experienced an increase in IOP. The majority of patients experienced thinning of the RNFL both in the right eye (61.0%) and the left eye (58.5%). The patient's CDR in the left (35.1%) and right (48.8%) eyes were in a severe state (?0.8). A total of 18 patients (43.9%) suggested to perform central 10-2 treshold test both in right and left eyes. Conclusion: most of the characteristics of primary glaucoma at Bali Mandara Eye Hospital were between 51-60 years old, male, residing in Denpasar, POAG type, and came in advanced clinical appearance. Keywords : characteristics, primary glaucoma, Bali Mandara Eye Hospital.

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“…(2) The prevalence of glaucoma will increase if it is influenced by several factors, such as age, gender, race, family history, and history of comorbidities (diabetes mellitus and hypertension) and a history of the eye examination. (1)…”

Section: Introductionmentioning

confidence: 99%

Glaucoma Risk Factors

Angriani¹,

Akib

Mulyadi³

et al. 2022

GMJ

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Background: Glaucoma is the second leading cause of blindness for over 70 million people worldwide. Bilateral blindness occurs with an estimated 10%. In Indonesia, the prevalence of glaucoma is 0,46%. That means, that 4 to 5 out of 1.000 people suffer from glaucoma. Content: The aim of this study was to analyze four risk factors that can affect the occurrence of glaucoma, namely age factor with diabetes and hypertension history, gender, family medical history, and race. This research used a literature review from 20 journals containing four risk factors for glaucoma. The results showed that diabetes and hypertension are often found in the elderly and that glaucoma symptoms can be exacerbated by increased intraocular pressure. Moreover, glaucoma patient with a positive family medical history of glaucoma has a higher value of intraocular pressure than glaucoma patients without a positive family medical history of glaucoma. Other results showed that men are more at risk because they have a different axial length than women, and Asians are considered riskier than Europeans because Asians’ awareness of eye health is very low. Conclusion: Based on the review, four risk factors could greatly affect the occurrence of glaucoma.

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Characteristics of Primary Glaucoma in Eye Clinic of RA Basoeni Hospital, Mojokerto, Indonesia

Cited by 4 publications

References 12 publications

Deep Learning untuk Klasifikasi Glaukoma dengan menggunakan Arsitektur EfficientNet

Deep Learning untuk Klasifikasi Glaukoma dengan menggunakan Arsitektur EfficientNet

Characteristics of Primary Glaucoma at Bali Mandara Eye Hospital Period January 1, 2018 - December 31, 2018

Glaucoma Risk Factors

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