Publications by authors named "Jeong Mo Han"

Age-related macular degeneration (AMD) is a major cause of blindness in developed countries, and the number of affected patients is increasing worldwide. Intravitreal injections of anti-vascular endothelial growth factor (VEGF) are the standard therapy for neovascular AMD (nAMD), and optical coherence tomography (OCT) is a crucial tool for evaluating the anatomical condition of the macula. However, OCT has limitations in accurately predicting the degree of functional and morphological improvement following intravitreal injections.

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Neovascular age-related macular degeneration (nAMD) can result in blindness if left untreated, and patients often require repeated anti-vascular endothelial growth factor injections. Although, the treat-and-extend method is becoming popular to reduce vision loss attributed to recurrence, it may pose a risk of overtreatment. This study aimed to develop a deep learning model based on DenseNet201 to predict nAMD recurrence within 3 months after confirming dry-up 1 month following three loading injections in treatment-naïve patients.

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Background: Although previous research has made substantial progress in developing high-performance artificial intelligence (AI)-based computer-aided diagnosis (AI-CAD) systems in various medical domains, little attention has been paid to developing and evaluating AI-CAD system in ophthalmology, particularly for diagnosing retinal diseases using optical coherence tomography (OCT) images.

Objective: This diagnostic study aimed to determine the usefulness of a proposed AI-CAD system in assisting ophthalmologists with the diagnosis of central serous chorioretinopathy (CSC), which is known to be difficult to diagnose, using OCT images.

Methods: For the training and evaluation of the proposed deep learning model, 1693 OCT images were collected and annotated.

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Myopic choroidal neovascularization (mCNV) is a common cause of vision loss in patients with pathological myopia. However, predicting the visual prognosis of patients with mCNV remains challenging. This study aimed to develop an artificial intelligence (AI) model to predict visual acuity (VA) in patients with mCNV.

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Neovascular age-related macular degeneration (nAMD) and central serous chorioretinopathy (CSC) are two of the most common macular diseases. This study proposes a convolutional neural network (CNN)-based deep learning model for classifying the subtypes of nAMD (polypoidal choroidal vasculopathy, retinal angiomatous proliferation, and typical nAMD) and CSC (chronic CSC and acute CSC) and healthy individuals using single spectral-domain optical coherence tomography (SD-OCT) images. The proposed model was trained and tested using 6063 SD-OCT images from 521 patients and 47 healthy participants.

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Introduction: The aim of the study was to determine the short-term real-world safety and efficacy of intravitreal brolucizumab injections in Korean patients with neovascular age-related macular degeneration (nAMD).

Methods: This multicenter retrospective study involved 294 eyes (treatment naïve 20 eye [6.8%] and nontreatment naïve 274 eyes [93.

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Neovascular age-related macular degeneration (nAMD) is among the main causes of visual impairment worldwide. We built a deep learning model to distinguish the subtypes of nAMD using spectral domain optical coherence tomography (SD-OCT) images. Data from SD-OCT images of nAMD (polypoidal choroidal vasculopathy, retinal angiomatous proliferation, and typical nAMD) and normal healthy patients were analyzed using a convolutional neural network (CNN).

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Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence tomography (SD-OCT) images together to diagnose CSC. Our proposed system contains two modules: single-image prediction (SIP) and a final decision (FD) classifier.

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Article Synopsis
  • * This study aimed to develop a deep learning model using a convolutional neural network (CNN) to categorize different CSC subtypes based on OCT images from 435 patients.
  • * Results showed that the model achieved an average accuracy of 70.0%, with the potential for 76.8% accuracy in an independent patient set, suggesting deep learning could enhance CSC classification and management.
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Purpose: To ascertain the pathogenesis of macular hole (MH) associated with age-related macular degeneration (AMD) and its surgical outcomes.

Methods: Patients with full-thickness MH associated with AMD (higher grades than intermediate) were enrolled. The mechanism of MH formation and closure rate after vitrectomy (surgical outcome) were determined using optical coherence tomography imaging.

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Article Synopsis
  • This study developed a deep learning model using a convolutional neural network (CNN) to detect neovascular age-related macular degeneration (AMD) and differentiate between retinal angiomatous proliferation (RAP) and polypoidal choroidal vasculopathy (PCV).
  • The researchers analyzed 3,951 spectral-domain optical coherence tomography (SD-OCT) images from 314 patients over six years, evaluating the model's performance in accuracy (89.1%), sensitivity (89.4%), and specificity (88.8%).
  • The new model outperformed other CNNs (VGG-16, Resnet-50, Inception) and matched the diagnosis accuracy of eight ophthalmologists, suggesting it could assist professionals in distinguishing RAP from PC
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Article Synopsis
  • Central serous chorioretinopathy (CSC) is a common eye condition that the study aimed to diagnose and differentiate between its chronic and acute forms using deep learning from optical coherence tomography (OCT) images.
  • The developed model achieved high diagnostic performance with an accuracy of 93.8% for CSC and 97.6% for distinguishing its forms, closely matching or surpassing human ophthalmologists' diagnoses.
  • The findings suggest that automated deep learning systems could effectively assist in diagnosing CSC, potentially providing an independent tool alongside human experts.
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Purpose: To investigate foveal morphologic parameters related to visual acuity and the stages classified in this study reflect the severity of the macular pseudohole (MPH).

Methods: Seventy-eight eyes of 78 consecutive patients diagnosed with MPH were studied. Quantitative optical coherence tomography (OCT) parameters including central foveal thickness, parafoveal thickness, parafoveal inner and outer retinal thickness (PIRT and PORT), pseudohole depth, pseudohole diameter, and inner nuclear layer (INL) angulation were measured and the morphologic features of the inner retina (disorganization of retinal inner layers (DRIL)) and the photoreceptor layer (external limiting membrane (ELM), ellipsoid zone (EZ), interdigitation zone (IZ), and cotton ball sign) were determined.

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Purpose: Recent studies have reported the anti-inflammatory effect of . We investigated the anti-inflammatory effect of sinomenine on endotoxin-induced uveitis in a rat model.

Methods: Endotoxin-induced uveitis was induced in rat by lipopolysaccharide (LPS) immunization.

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Purpose: To compare the accuracy of intraocular lens (IOL) power calculation using conventional regression formulae or the American Society of Cataract and Refractive Surgery (ASCRS) IOL power calculator for previous corneal refractive surgery.

Methods: We retrospectively reviewed 96 eyes from 68 patients that had undergone cataract surgery after keratorefractive surgeries. We calculated the formula with two approaches: IOL powers using the ASCRS IOL power calculator and IOL powers using conventional formulae with previous refractive data (Camellin, Jarade, Savini, and clinical history method) or without prior data (0, 2 and, 4 mm total mean power in topography, Wang-Koch-Maloney, Shammas, Seitz, and Maloney).

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Aims: To investigate the choroidal thickness changes in eyes with retinal vein occlusion (RVO) and to determine the effect of an intravitreal dexamethasone implant (Ozurdex) on choroidal thickness.

Methods: This study comprised 47 patients diagnosed with unilateral, RVO-associated macular oedema (MO) and treated with Ozurdex. Baseline subfoveal choroidal thickness (SFCT) and central macular thickness (CMT) of the RVO eyes were compared with those of the normal contralateral eyes; serial changes in this parameter were evaluated at 1, 3 and 5 months after Ozurdex injection.

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Aims: To determine the efficacy of diagnostic monocular occlusion in revealing the maximum angle of exodeviation compared with repeated measurements taken during three or more consecutive examinations in the outpatient clinic.

Methods: We retrospectively analysed 185 patients with intermittent exotropia in an institutional referral centre. The angle of exodeviation was measured at distance and near fixation on three or more consecutive examinations in the outpatient clinic.

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Purpose: To characterize the effects of corticosteroids on choroidal thickness, we measured the choroid thickness in patients treated systemically with a high-dose corticosteroid.

Methods: A prospective, pilot study was conducted on 20 patients who required high-dose corticosteroid pulse therapy (>500 mg/d). Choroidal thickness was measured at baseline, 1 day, 1 week, and 1 month after corticosteroid administration.

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Tubulointerstitial nephritis and uveitis (TINU) syndrome is a rare disease entity usually occurring in children. In the present study a case of TINU syndrome in an elderly patient is described and relevant literature is reviewed. A 61-year-old man presented with bilateral flank pain, urinary frequency, and foamy urine.

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Purpose: To evaluate the safety of bilateral same-day intravitreal injections using a single vial and to introduce a molecular surveillance system to screen bacterial drug contamination using eubacterial polymerase chain reaction (PCR).

Methods: Retrospective review of the medical records of 135 patients who received 574 bilateral same-day intravitreal injections for various retinal diseases in 2 tertiary referral hospitals between January 2008 and March 2010 was performed. Data were obtained regarding the diagnosis, kinds of drugs injected, postinjection complications, and the result of molecular bacterial screening of the injected drugs.

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A 56-year-old man presented with anterior chamber inflammation, increased intraocular pressure, peripheral retinal infiltration, and generalized retinal arterial obstruction suggesting acute retinal necrosis five months after intravitreal triamcinolone acetonide injection (IVTA). He was treated with intravenous antiviral agents and aspirin. Shortly after treatment, retinal infiltrations were resolved, and partial recanalization of the obstructed vessel was observed.

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