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Tanikawa A, Maruyama K, Liu S, Mao Z, Wang Z, Shiraki N, Hashida N, Kawasaki R, Chan K, Nishida K. Unveiling Key Pathological Indicators for Disease Progression in Vogt Koyanagi Harada Disease and Sympathetic Ophthalmia Through Advanced Choroidal Volume Analysis. Ocul Immunol Inflamm 2024:1-9. [PMID: 38709183 DOI: 10.1080/09273948.2024.2337836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 03/27/2024] [Indexed: 05/07/2024]
Abstract
PURPOSE To evaluate the association between quantitative parameters derived from volume analysis of optical coherence tomography (OCT) data and disease worsening in Vogt-Koyanagi-Harada disease (VKHD) and sympathetic ophthalmia (SO). METHODS This retrospective study, conducted at Osaka University Hospital, employed swept-source OCT scans from patients diagnosed with VKHD or SO between October 2012 and January 2021. The choroidal vessel structure was segmented and visualized in three dimensions, generating quantitative vessel volume maps. Region-specific choroidal vessel volume (CVV), choroidal volume (CV), and vessel index (VI) were scrutinized for their potential correlation with disease severity. RESULTS Thirty-five eyes of 18 VKHD and 2 SO patient (8 females, 10 males) were evaluated. OCT-derived CVV maps revealed regional CV alterations in VKHD and SO patients. Two parameters, i.e. CV at 3- and 6-month follow-ups (p = 0.044, p = 0.040, respectively, with area under the ROC curve of 0.70) and CVV at 6 months (p = 0.046, area under the ROC curve of 0.71), were significantly higher in recurrent VKHD and SO compared to effectively treated cases. CONCLUSIONS The volume analysis of OCT images facilitates a three-dimensional visualization of choroidal alterations, which may serve as a reflection of disease severity in VKHD and SO patients. Furthermore, noninvasive initial CVV or CV measurements may serve as potential biomarkers for predicting disease recurrence in VKHD and SO.
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Affiliation(s)
- Akira Tanikawa
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Kazuichi Maruyama
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Vision Informatics, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, Japan
| | - Shiyi Liu
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey
| | - Zaixing Mao
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey
| | - Zhenguo Wang
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey
| | - Nobuhiko Shiraki
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Noriyasu Hashida
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Ryo Kawasaki
- Artificial Intelligence Center for Medical Research and Application, Osaka University Hospital, Suita, Osaka, Japan
- Graduate Scholl of Medicine/Division of Environmental Medicine and Population Science/Department of Social and Environmental Medicine, Osaka University, Suita, Osaka, Japan
| | - Kinpui Chan
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, New Jersey
| | - Kohji Nishida
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, Japan
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Kirik F, Iskandarov F, Erturk KM, Ozdemir H. Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels. Photodiagnosis Photodyn Ther 2024; 45:103891. [PMID: 37949385 DOI: 10.1016/j.pdpdt.2023.103891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/01/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND To quantitatively evaluate the effectiveness of the Noise2Noise (N2N) model, a deep learning (DL)-based noise reduction algorithm, on enhanced depth imaging-optical coherence tomography (EDI-OCT) images with different noise levels. METHODS The study included 30 subfoveal EDI-OCT images averaged with 100 frames from 30 healthy participants. Artificial Gaussian noise at 25.00, 50.00, and 75.00 standard deviations were added to the averaged (original) images, and the images were grouped as 25N, 50N, and 75N. Afterward, noise-added images were denoised with the N2N model and grouped as 25dN, 50dN, and 75dN, according to previous noise levels. The choroidal vascularity index (CVI) and deep choroidal contrast-to-noise ratio (CNR) were calculated for all images, and noise-added and denoised images were compared with the original images. The structural similarity of the noise-added and denoised images to the original images was assessed by the Multi-Scale Structural Similarity Index (MS-SSI). RESULTS The CVI and CNR parameters of the original images (68.08 ± 2.47 %, and 9.71 ± 2.80) did not differ from the only 25dN images (67.97 ± 2.34 % and 8.50 ± 2.43) (p:1.000, and p:0.062, respectively). Noise reduction improved the MS-SSI at each noise level (p < 0.001). However, the highest MS-SSI was achieved in 25dN images. CONCLUSIONS The DL-based N2N denoising model can be used effectively for images with low noise levels, but at increasing noise levels, this model may be insufficient to provide both the original structural features of the choroid and structural similarity to the original image.
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Affiliation(s)
- Furkan Kirik
- Department of Ophthalmology, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes (Vatan) Avenue, Fatih, Istanbul 34093, Turkiye.
| | - Farid Iskandarov
- Department of Ophthalmology, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes (Vatan) Avenue, Fatih, Istanbul 34093, Turkiye
| | - Kamile Melis Erturk
- Department of Ophthalmology, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes (Vatan) Avenue, Fatih, Istanbul 34093, Turkiye
| | - Hakan Ozdemir
- Department of Ophthalmology, Faculty of Medicine, Bezmialem Vakif University, Adnan Menderes (Vatan) Avenue, Fatih, Istanbul 34093, Turkiye
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Hara C, Maruyama K, Wakabayashi T, Liu S, Mao Z, Kawasaki R, Wang Z, Chan K, Nishida K. Choroidal Vessel and Stromal Volumetric Analysis After Photodynamic Therapy or Focal Laser for Central Serous Chorioretinopathy. Transl Vis Sci Technol 2023; 12:26. [PMID: 37982766 PMCID: PMC10668616 DOI: 10.1167/tvst.12.11.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/22/2023] [Indexed: 11/21/2023] Open
Abstract
Purpose To utilize volumetric analysis to quantify volumetric changes in choroidal vessels and stroma after photodynamic therapy (PDT) and focal laser photocoagulation (PC) for central serous chorioretinopathy (CSCR). Methods This retrospective, comparative study included 58 eyes (58 patients) with CSCR (PC, 33 eyes; PDT, 25 eyes) followed up with swept-source optical coherence tomography at 3 months after treatment. Three-dimensional (3D) choroidal vessel and stromal volumes in each area of the central 1.5-mm-diameter circle, the torus-shaped area with 6-mm-diameter circle excluding the area of the central 1.5-mm-diameter circle, and the treated area of the Early Treatment Diabetic Retinopathy Study (ETDRS) grid centered at the fovea were analyzed using a deep learning-based method. Changes in volume at baseline and 1 and 3 months after treatment were compared. Results The mean patient age was 49.3 ± 10.5 years. In the central 1.5-mm-diameter circle, the mean vessel and stromal volume rates significantly decreased after the treatment in both the PDT and PC groups (P = 0.00029 and P = 0.0014, respectively), and significant differences between the PDT and PC groups of continuous variables within times were observed in both volumes (P = 0.024 and P = 0.037, respectively). In the torus-shaped area and treated area, the PDT and PC groups both showed similar decreases in vessel and stromal volume over time. Conclusions In the 3D optical coherence tomography volumetric analysis, both PDT and focal PC reduced choroid vessel volume in eyes with CSCR. Translational Relevance This new finding is useful in elucidating the pathogenesis and healing mechanisms of CSCR.
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Affiliation(s)
- Chikako Hara
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Advanced Device Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Kazuichi Maruyama
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Vision Informatics, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka, Japan
| | - Taku Wakabayashi
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Shiyi Liu
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Zaixing Mao
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Ryo Kawasaki
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Department of Innovative Visual Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Zhenguo Wang
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Kinpui Chan
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Kohji Nishida
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka, Japan
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Carreras J. The pathobiology of follicular lymphoma. J Clin Exp Hematop 2023; 63:152-163. [PMID: 37518274 PMCID: PMC10628832 DOI: 10.3960/jslrt.23014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/10/2023] [Accepted: 06/15/2023] [Indexed: 08/01/2023] Open
Abstract
Follicular lymphoma is one of the most frequent lymphomas. Histologically, it is characterized by a follicular (nodular) growth pattern of centrocytes and centroblasts; mixed with variable immune microenvironment cells. Clinically, it is characterized by diffuse lymphadenopathy, bone marrow involvement, and splenomegaly. It is biologically and clinically heterogeneous. In most patients it is indolent, but others have a more aggressive evolution with relapses; and transformation to diffuse large B-cell lymphoma. Tumorigenesis includes an asymptomatic preclinical phase in which premalignant B-lymphocytes with the t(14;18) chromosomal translocation acquire additional genetic alterations in the germinal centers, and clonal evolution occurs, although not all the cells progress to the tumor stage. This manuscript reviews the pathobiology and clinicopathological characteristics of follicular lymphoma. It includes a description of the physiology of the germinal center, the genetic alterations of BCL2 and BCL6, the mutational profile, the immune checkpoint, precision medicine, and highlights in the lymphoma classification. In addition, a comment and review on artificial intelligence and machine (deep) learning are made.
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Affiliation(s)
- Joaquim Carreras
- Department of Pathology, Tokai University, School of Medicine, Isehara, Kanagawa, Japan
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Fujimoto S, Miki A, Maruyama K, Mei S, Mao Z, Wang Z, Chan K, Nishida K. Three-Dimensional Volume Calculation of Intrachoroidal Cavitation Using Deep-Learning-Based Noise Reduction of Optical Coherence Tomography. Transl Vis Sci Technol 2022; 11:1. [PMID: 35802370 PMCID: PMC9279919 DOI: 10.1167/tvst.11.7.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose Intrachoroidal cavitations (ICCs) are peripapillary pathological lesions generally associated with high myopia that can cause visual field (VF) defects. The current study aimed to evaluate a three-dimensional (3D) volume parameter of ICCs segmented from volumetric swept-source optical coherence tomography (SS-OCT) images processed using deep learning (DL)-based noise reduction and to investigate its correlation with VF sensitivity. Methods Thirteen eyes of 12 consecutive patients with peripapillary ICCs were enrolled. DL-based denoising and further analyses were applied to parapapillary 6 × 6-mm volumetric SS-OCT scans. Then, 3D ICC volume and two-dimensional depth and length measurements of the ICCs were calculated. The correlations between ICC parameters and VF sensitivity were investigated. Results The ICCs were located in the inferior hemiretina in all eyes. ICC volume (P = 0.02; regression coefficient [RC], −0.007) and ICC length (P = 0.04; RC, −4.51) were negatively correlated with the VF mean deviation, whereas ICC depth (P = 0.15) was not. All of the parameters, including ICC volume (P = 0.01; RC, −0.004), ICC depth (P = 0.02; RC, −0.008), and ICC length (P = 0.045; RC, −2.11), were negatively correlated with the superior mean total deviation. Conclusions We established the volume of ICCs as a new 3D parameter, and it reflected their influence on visual function. The automatic delineation and 3D rendering may lead to improved detection and pathological understanding of ICCs. Translational Relevance This study demonstrated the correlation between the 3D volume of ICCs and VF sensitivity.
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Affiliation(s)
- Satoko Fujimoto
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Hawaii Macula and Retina Institute, Aiea, HI, USA
| | - Atsuya Miki
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Myopia Control Research, Aichi Medical University Medical School, Aichi, Japan
| | - Kazuichi Maruyama
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Vision Informatics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Song Mei
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Zaixing Mao
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Zhenguo Wang
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Kinpui Chan
- Topcon Advanced Biomedical Imaging Laboratory, Oakland, NJ, USA
| | - Kohji Nishida
- Department of Ophthalmology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
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