A5035285010- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Corneal surgery and disorders
- Ophthalmology and Visual Impairment Studies
- Retinal Development and Disorders
- Ocular Surface and Contact Lens
- Intraocular Surgery and Lenses
- Digital Imaging for Blood Diseases
- Retinal and Macular Surgery
- Optical Coherence Tomography Applications
- Visual perception and processing mechanisms
- Retinal and Optic Conditions
- Cerebral Venous Sinus Thrombosis
- Vagus Nerve Stimulation Research
- Epilepsy research and treatment
- Legionella and Acanthamoeba research
- Childhood Cancer Survivors' Quality of Life
- Acute Ischemic Stroke Management
- Ocular Diseases and Behçet’s Syndrome
- Photodynamic Therapy Research Studies
- Drug-Induced Ocular Toxicity
- Infections and bacterial resistance
- Anesthesia and Sedative Agents
- Infant Development and Preterm Care
The University of Tokyo
2015-2024
Seirei Hamamatsu General Hospital
2020-2024
Shimane University
2020-2024
Seirei Christopher University
2020-2024
University of Shimane
2023
Kitasato University
2018-2021
University of Tokyo Hospital
1999-2021
Abstract The Purpose of the study was to develop a deep residual learning algorithm screen for glaucoma from fundus photography and measure its diagnostic performance compared Residents in Ophthalmology. A training dataset consisted 1,364 color photographs with glaucomatous indications 1,768 without features. testing 60 eyes patients 50 normal subjects. Using dataset, known as Deep Residual Learning Image Recognition (ResNet) developed discriminate glaucoma, accuracy validated using area...
To develop a large-scale real clinical database of glaucoma (Japanese Archive Multicentral Databases in Glaucoma: JAMDIG) and to investigate the effect treatment.The study included total 1348 eyes 805 primary open-angle patients with 10 visual fields (VFs) measured 24-2 or 30-2 Humphrey Field Analyzer (HFA) intraocular pressure (IOP) records institutes Japan. Those reliable VFs were further identified (638 417 patients). Mean deviation (mTD) 52 test points HFA VF was calculated, relationship...
To compare performance of independently developed deep learning algorithms for detecting glaucoma from fundus photographs and to evaluate strategies incorporating new data into models.Two photograph datasets the Diagnostic Innovations in Glaucoma Study/African Descent Evaluation Study Matsue Red Cross Hospital were used develop detection at University California, San Diego, Tokyo. We compared three versions Tokyo models: original (no retraining), sequential (retraining only on data),...
We evaluated the usefulness of various regression models, including least absolute shrinkage and selection operator (Lasso) regression, to predict future visual field (VF) progression in glaucoma patients.Series 10 VFs (Humphrey Field Analyzer 24-2 SITA-standard) from each 513 eyes 324 open-angle patients, obtained 4.9 ± 1.3 years (mean SD), were investigated. For patient, mean all total deviation values (mTD) 10th VF was predicted using varying numbers prior (ranging first three previous...
Background/Aim To train and validate the prediction performance of deep learning (DL) model to predict visual field (VF) in central 10° from spectral domain optical coherence tomography (SD-OCT). Methods This multicentre, cross-sectional study included paired Humphrey analyser (HFA) 10-2 VF SD-OCT measurements 591 eyes 347 patients with open-angle glaucoma (OAG) or normal subjects for training data set. We trained a convolutional neural network (CNN) predicting threshold (TH) sensitivity...
Purpose.: To evaluate the minimum number of visual field (VF) tests required to precisely predict future VF results using ordinary least squares linear regression (OLSLR), quadratic regression, exponential logistic and M-estimator robust model. Methods.: Series 15 VFs (Humphrey Field Analyzer 24-2 SITA standard) were analyzed from 247 eyes 155 open-angle glaucoma patients. Future point-wise (PW) mean sensitivities predicted with varying numbers in each method. Results.: In PW-OLSLR, as...
Purpose: To compare the hemifield asymmetry of visual field (VF) loss in primary open-angle glaucoma (POAG) and angle-closure (PACG) across all severity levels. Methods: A total 522 eyes 327 patients with POAG (mean age ± SD, 54.1 12.4 years) 375 204 PACG (67.3 8.9 were included. Subjects meeting definitions or Means deviation (TD) values (Humphrey 24-2 VF) Glaucoma Hemifield Test (GHT) regions calculated early (≥ −6 dB), moderate (< dB ≥ −12 advanced dB) stages eyes. Then differences TD...
Background/aims To validate a deep learning algorithm to diagnose glaucoma from fundus photography obtained with smartphone. Methods A training dataset consisting of 1364 colour photographs glaucomatous indications and 1768 without features was using an ordinary camera. The testing consisted 73 eyes patients 89 normative subjects. In the dataset, were acquired camera developed dataset. trained neural network evaluated by prediction result diagnostic or normal over test datasets, images both...
Abstract To investigate differences in biomechanical properties focusing on stiffness parameters between normal, treatment-naïve primary open-angle glaucoma (POAG), and treated POAG eyes. Retrospective case–control study, This study included 46 eyes, eyes with prostaglandin analogues, 49 normal used as controls; matched terms of age axial length. Corneal hysteresis (CH) corneal resistance factor (CRF) were measured using an ocular response analyzer (ORA). Fifteen the Visualization...
Aims Corvis ST (CST) yields biomechanical corrected IOP (bIOP) which is purported to be less dependent on properties. In our accompanied paper, it was suggested that the repeatability of bIOP high. The purpose current study assess relationship between intraocular pressure (IOP) measured with CST and central corneal thickness (CCT) hysteresis (CH), in comparison Goldmann applanation tonometry (GAT) ocular response analyzer (ORA). Methods A total 141 eyes from subjects (35 healthy 106...
Purpose: To investigate whether a correction based on Humphrey field analyzer (HFA) 24-2/30-2 visual (VF) can improve the prediction performance of deep learning model to predict HFA 10-2 VF test from macular optical coherence tomography (OCT) measurements. Methods: This is multicenter, cross-sectional study. The training dataset comprised 493 eyes 285 subjects (407, open-angle glaucoma [OAG]; 86, normative) who underwent testing and OCT. independent 104 OAG 82 had undergone test, A...
Purpose: The detailed effects of age and systemic factors on intraocular pressure (IOP) have not been fully understood because the lack a large-scale longitudinal investigation. This study aimed to investigate effect various change IOP. Methods: There were total 20,909 eyes 10,471 subjects from health checkup cohort that followed up for factors: (i) at baseline, (ii) sex, (iii) time series body mass index (BMI), (iv) smoking habits, (v) systolic diastolic blood pressures (SBP DBP), (vi) 19...
Purpose: To investigate the relationship between axial length (AL) elongation and progression of primary open-angle glaucoma (POAG). Methods: AL was measured twice over a 5.1 ± 0.76 (mean standard deviation: SD) year period in 125 eyes 72 patients with POAG. The were divided into not long (AL < 26 mm, 80 eyes) (>26 45 groups. During this period, patients' visual fields (VFs) Humphrey Field Analyzer 12.4 7.5 times intraocular pressure (IOP) Goldmann applanation tonometry 27.0 times. mean...
<h3>Background/aims</h3> To investigate the usefulness of Octopus (Haag-Streit) EyeSuite's cluster trend analysis in glaucoma. <h3>Methods</h3> Ten visual fields (VFs) with Humphrey Field Analyzer (Carl Zeiss Meditec), spanning 7.7 years on average were obtained from 728 eyes 475 primary open angle glaucoma patients. Mean total deviation (mTD) and performed various series VFs (from 1st to 10th: VF1-10 6th VF6-10). The results cluster-based analysis, based different lengths VF series,...
Purpose: To validate the prediction accuracy of variational Bayes linear regression (VBLR) with two datasets external to training dataset. Method: The dataset consisted 7268 eyes 4278 subjects from University Tokyo Hospital. Japanese Archive Multicentral Databases in Glaucoma (JAMDIG) 271 177 patients, and Diagnostic Innovations Study (DIGS) includes 248 173 which were used for validation. Prediction was compared between VBLR ordinary least squared (OLSLR). First, OLSLR carried out using...
Purpose: The purpose of this study was to evaluate the rate visual field (VF) loss in primary open-angle glaucoma (POAG) and angle-closure (PACG). Methods: Four hundred forty eyes 282 patients with POAG (aged 53.4 ± 12.0: mean standard deviation, years) 79 49 PACG 62.7 9.0 at least six or more reliable VF tests were studied. Point-wise, region-wise, global rates change assessed for eyes. Only records prior laser iridotomy cataract surgery included superior-inferior asymmetric compared...
Purpose: To investigate whether correcting the circumpapillary retinal nerve fiber layer (cpRNFL) thickness profile, using artery position and papillomacular bundle tilt, can improve structure–function relationship in glaucoma patients. Methods: Spectral-domain optical coherence tomography (SD-OCT) visual field measurements were conducted 142 eyes of 90 subjects with open angle glaucoma. The SD-OCT cpRNFL profile was corrected for and/or tilt all twelve 30° sectors optic disc, against...
Precis: Corvis ST Tonometry and Ocular Response Analyzer (ORA) measurements were conducted in primary open-angle glaucoma normative subjects. Many parameters significantly correlated, however, the strengths weak to moderate. Purpose: Reichert ORA are derived from pressure information following application of air-jet, whereas detailed structural observation can be made using Corneal Visualization Scheimpflug Technology instrument (CST). The purpose study was investigate association between...