1. Aiko Iwase

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    1. Mentioned In 10 Articles

    2. Using Deep Learning and transform learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images

      Using Deep Learning and transform learning to accurately diagnose early-onset glaucoma from macular optical coherence tomography images
      Purpose To construct and evaluate a Deep Learning (DL) model to diagnose early glaucoma from spectral domain optical coherence tomography (SD-OCT) images. Design AI diagnostic tool development, evaluation, and comparison Methods Setting: multiple institutional practices. Study population Pre-training data consisted of 4316 OCT images (RS3000, Nidek) from 1565 eyes with open angle glaucoma (OAG) irrespective of the stage of glaucoma and 193 normal eyes. Training data included OCT-1000/2000 (Topcon ...
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    3. Validating the usefulness of the 'Random Forests’ classifier to diagnose early glaucoma with optical coherence tomography

      Validating the usefulness of the 'Random Forests’ classifier to diagnose early glaucoma with optical coherence tomography
      Purpose To validate the usefulness of the 'Random Forests classifier to diagnose early glaucoma with spectral domain optical coherence tomography (SD-OCT). Method Design: Comparison of diagnostic algorithms Setting: multiple institutional practice Study participants Training dataset included 94 eyes of 94 open angle glaucoma (OAG) patients and 84 eyes of 84 normal subjects and testing dataset included 114 eyes of 114 OAG patients and 82 eyes of 82 normal subjects. In ...
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    4. Discriminating between Glaucoma and Normal Eyes Using Optical Coherence Tomography and the ‘Random Forests’ Classifier

      Discriminating between Glaucoma and Normal Eyes Using Optical Coherence Tomography and the ‘Random Forests’ Classifier
      Purpose To diagnose glaucoma based on spectral domain optical coherence tomography (SD-OCT) measurements using the Random Forests method. Methods SD-OCT was conducted in 126 eyes of 126 open angle glaucoma (OAG) patients and 84 eyes of 84 normal subjects. The Random Forests method was then applied to discriminate between glaucoma and normal eyes using 151 OCT parameters including thickness measurements of circumpapillary retinal nerve fiber layer (cpRNFL), the macular RNFL ...
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    5. Circle and Grid-wise Analyses of Peripapillary Nerve Fiber Layers by Spectral Domain Optical Coherence Tomography in Early Stage Glaucoma

      Circle and Grid-wise Analyses of Peripapillary Nerve Fiber Layers by Spectral Domain Optical Coherence Tomography in Early Stage Glaucoma
      PURPOSE. To study diagnostic performances of circle and grid-wise analyses of peripapillary retinal nerve fiber layer thickness (RNFLT) using spectral domain optical coherence tomography (SD-OCT) in early stage glaucoma. METHODS. Eighty-nine open-angle glaucoma (OAG) eyes (mean deviation, -2.5 1.8 dB) and 89 age-matched normal eyes were studied. Peripapillary RNFLT was analyzed using SD-OCT raster scan in a 6.0 6.0 mm area. Averaged RNFLT was calculated over ...
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    6. Reproducibility of Thickness Measurements of Macular Inner Retinal Layers Using SD-OCT with or without Correction of Ocular Rotation

      Reproducibility of Thickness Measurements of Macular Inner Retinal Layers Using SD-OCT with or without Correction of Ocular Rotation
      Purpose. To evaluate the inter-visit reproducibility of spectral-domain optical coherence tomography (SD-OCT) measurement of the macular retinal nerve fiber layer thickness (mRNFLT), combined ganglion cell layer and inner plexiform layer (GCL+IPL) thickness, and ganglion cell complex (GCC) thicknesses (sum of mRNFLT and GCL+IPL thicknesses) compared with that of circumpapillary RNFLT (cpRNFLT) and the effect of ocular rotation on reproducibility. Methods. SD-OCT imaging was performed twice on different days ...
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    7. Spectral-Domain Optical Coherence Tomography of β-zone Peripapillary Atrophy: Influence of Myopia and Glaucoma

      Spectral-Domain Optical Coherence Tomography of β-zone Peripapillary Atrophy: Influence of Myopia and Glaucoma
      Purpose: To investigate the influence of glaucoma and myopia on the cross-sectional configuration of β-zone peripapillary atrophy (PPA-β) using spectral-domain optical coherence tomography (SD-OCT). Methods: Among 100 eyes of 100 consecutive patients with POAG regardless of intraocular pressure level and 100 eyes of 100 normal subjects, cross-sectional B-scan images of PPA-β obtained with SD-OCT were evaluated. PPA bed configurations were classified and associated factors were studied with multivariate analysis. Results ...
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    8. Effects of Age, Sex, and Axial Length on the Three-Dimensional Profile of Normal Macular Layer Structures

      Effects of Age, Sex, and Axial Length on the Three-Dimensional Profile of Normal Macular Layer Structures
      Purpose. To identify sex-related differences and age-related changes in individual retinal layer thicknesses in a population of healthy eyes across the lifespan, using spectral domain optical coherence tomography (SD-OCT). Methods. In seven institutes in Japan, mean thicknesses of the retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor inner segment (IS), and photoreceptor ...
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    9. Peripapillary Retinal Nerve Fiber Layer Thickness Determined by Spectral-Domain Optical Coherence Tomography in Ophthalmologically Normal Eyes

      Peripapillary Retinal Nerve Fiber Layer Thickness Determined by Spectral-Domain Optical Coherence Tomography in Ophthalmologically Normal Eyes
      ...tic discs. Hiroyo Hirasawa, MD; Atsuo Tomidokoro, MD; Makoto Araie, MD; Shinsuke Konno, MD; Hitomi Saito, MD; Aiko Iwase, MD; Motohiro Shirakashi, MD; Haruki Abe, MD; Shinji Ohkubo, MD; Kazuhisa Sugiyama, MD; Tomohiro Oo...
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  2. About Aiko Iwase

    Aiko Iwase is with the Department of Ophthalmology at Tajimi Municipal Hospital, Gifu Prefecture, in Japan.