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Wang CY, Nguyen HT, Fan WS, Lue JH, Saenprasarn P, Chen MM, Huang SY, Lin FC, Wang HC. Glaucoma Detection through a Novel Hyperspectral Imaging Band Selection and Vision Transformer Integration. Diagnostics (Basel) 2024; 14:1285. [PMID: 38928700 PMCID: PMC11202918 DOI: 10.3390/diagnostics14121285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 06/12/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Conventional diagnostic methods for glaucoma primarily rely on non-dynamic fundus images and often analyze features such as the optic cup-to-disc ratio and abnormalities in specific retinal locations like the macula and fovea. However, hyperspectral imaging techniques focus on detecting alterations in oxygen saturation within retinal vessels, offering a potentially more comprehensive approach to diagnosis. This study explores the diagnostic potential of hyperspectral imaging for glaucoma by introducing a novel hyperspectral imaging conversion technique. Digital fundus images are transformed into hyperspectral representations, allowing for a detailed analysis of spectral variations. Spectral regions exhibiting differences are identified through spectral analysis, and images are reconstructed from these specific regions. The Vision Transformer (ViT) algorithm is then employed for classification and comparison across selected spectral bands. Fundus images are used to identify differences in lesions, utilizing a dataset of 1291 images. This study evaluates the classification performance of models using various spectral bands, revealing that the 610-780 nm band outperforms others with an accuracy, precision, recall, F1-score, and AUC-ROC all approximately at 0.9007, indicating its superior effectiveness for the task. The RGB model also shows strong performance, while other bands exhibit lower recall and overall metrics. This research highlights the disparities between machine learning algorithms and traditional clinical approaches in fundus image analysis. The findings suggest that hyperspectral imaging, coupled with advanced computational techniques such as the ViT algorithm, could significantly enhance glaucoma diagnosis. This understanding offers insights into the potential transformation of glaucoma diagnostics through the integration of hyperspectral imaging and innovative computational methodologies.
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Affiliation(s)
- Ching-Yu Wang
- Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan; (C.-Y.W.); (W.-S.F.)
| | - Hong-Thai Nguyen
- Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan;
| | - Wen-Shuang Fan
- Department of Ophthalmology, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi 62247, Taiwan; (C.-Y.W.); (W.-S.F.)
| | - Jiann-Hwa Lue
- Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan; (J.-H.L.); (S.-Y.H.)
| | - Penchun Saenprasarn
- School of Nursing, Shinawatra University, 99 Moo 10, Bangtoey, Samkhok, Pathum Thani 12160, Thailand;
| | - Meei-Maan Chen
- Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, 168, University Rd., Min Hsiung, Chiayi 62102, Taiwan;
| | - Shuan-Yu Huang
- Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan; (J.-H.L.); (S.-Y.H.)
| | - Fen-Chi Lin
- Department of Ophthalmology, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Kaohsiung City 80284, Taiwan
| | - Hsiang-Chen Wang
- Department of Optometry, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 406053, Taiwan; (J.-H.L.); (S.-Y.H.)
- Hitspectra Intelligent Technology Co., Ltd., Kaohsiung City 80661, Taiwan
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Liu R, Sule AA, Shannon CS, Ravilla T, Taylor H, Rojas-Carabali W, Khanna RC, Mishra C, Sen A, Khatri A, Tan ACS, Sobrin L, Agrawal R. A practical model for effective eye care delivery in Southeast Asian rural communities: A proposal built based on experts' recommendations. Indian J Ophthalmol 2024; 72:S473-S481. [PMID: 38648455 PMCID: PMC467020 DOI: 10.4103/ijo.ijo_2196_23] [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: 08/14/2023] [Revised: 11/10/2023] [Accepted: 01/03/2024] [Indexed: 04/25/2024] Open
Abstract
PURPOSE To evaluate rural community-based eye care models from the perspective of community ophthalmology experts and suggest sustainable technological solutions for enhancing rural eye care delivery. METHODS A semi-structured descriptive survey, using close-ended and open-ended questions, was administered to the experts in community ophthalmology sourced through purposive sampling. The survey was self-administered and was facilitated through online platforms or in-person meetings. Uniform questions were presented to all participants, irrespective of their roles. RESULTS Surveyed participants (n = 22 with 15 from India and 7 from Nepal) in high-volume tertiary eye hospitals faced challenges with resources and rural outreach. Participants had mixed satisfaction with pre-operative screening and theatre resources. Delayed presentations and inexperienced surgeons contributed to the surgery complications. Barriers to rural eye care included resource scarcity, funding disparities, and limited infrastructure. In rural/peri-urban areas 87% of participants agreed with providing primary eye care services, with more than 60% of the experts not in agreement with the makeshift center model of eye care delivery. Key components for an effective eye care model are sustainability, accessibility, affordability, and quality. These can be bolstered through a healthcare management platform and a human-chain supply distribution system. CONCLUSION Tailored interventions are crucial for rural eye care, emphasizing the need for stronger human resources, optimized funding, and community awareness. Addressing challenges pertinent to delayed presentation and surgical training is vital to minimizing complications, especially with advanced cataracts. Enhancements in rural eye care demand a comprehensive approach prioritizing accessibility, affordability, and consistent quality.
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Affiliation(s)
- Renee Liu
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary and Harvard Medical School, Schepens Eye Research Institute, Boston, Massachusetts, USA
| | - Ashita A Sule
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Choo Sheriel Shannon
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
| | | | - Hugh Taylor
- Indigenous Eye Health Unit, Melbourne School of Population and Global Health, University of Melbourne, Australia
| | - William Rojas-Carabali
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Singapore
| | - Rohit C Khanna
- Allen Foster Community Eye Health Research Centre, Gullapalli Pratibha Rao International Centre for Advancement of Rural Eye Care, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | | | - Alok Sen
- Sadguru Netra Chikatsalaya, Sri Sadguru Seva Sangh Trust, Chitrakoot, Madhya Pradesh, India
| | | | - Anna C S Tan
- Singapore National Eye Centre, Singapore
- Singapore Eye Research Institute, The Academia, Singapore, Singapore
- Department of Ophthalmology and Visual Sciences, Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
| | - Lucia Sobrin
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary and Harvard Medical School, Schepens Eye Research Institute, Boston, Massachusetts, USA
| | - Rupesh Agrawal
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore
- Singapore Eye Research Institute, The Academia, Singapore, Singapore
- Department of Ophthalmology and Visual Sciences, Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Singapore
- Moorfields Eye Hospital, NHS Foundation Trust, London, UK
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Garba F, Kyari F, Nolan W, Burton MJ, Gordon I, Evans JR, Hu VH. Portable devices for diagnosis and monitoring of glaucoma: a scoping review protocol. BMJ Open 2024; 14:e082375. [PMID: 38471693 PMCID: PMC10936509 DOI: 10.1136/bmjopen-2023-082375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/31/2024] [Indexed: 03/14/2024] Open
Abstract
INTRODUCTION Glaucoma is the leading cause of irreversible blindness in the world. The need to diagnose glaucoma early in its natural history before extensive sight loss occurs cannot be overemphasised. However, glaucoma is largely asymptomatic in the early stages of the disease making it complex to diagnose clinically and requires the support of technology. The objective of this scoping review is to determine the nature and extent of the evidence for use of portable devices in the diagnosis of glaucoma. METHODS We will consider studies conducted in all healthcare settings using portable devices for the detection of all type of adult glaucoma. We will also include any systematic reviews or scoping reviews, which relate to this topic. Searches will be conducted in MEDLINE, Embase, CENTRAL on the Cochrane Library and Global Health databases, from their inception to the present. Reference lists from publications identified in the searches will also be reviewed. Two authors will independently screen titles and abstracts, followed by full-text screening to assess studies for inclusion. Any disagreements will be discussed and resolved with a third author. Tables accompanied by narrative descriptions will be employed to discuss results and show how it relates to review questions. ETHICS AND DISSEMINATION Ethical approval is not required in this review. Only published and publicly accessible data will be used. We will publish our findings in an open-access, peer-reviewed journal and develop an accessible summary of results and recommendations.
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Affiliation(s)
- Farouk Garba
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
- Department of Ophthalmology, College of Medical Sciences, Ahmadu Bello University, Zaria, Kaduna, Nigeria
| | - Fatima Kyari
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
- Department of Ophthalmology, College of Health Sciences, University of Abuja, Abuja, Nigeria
| | - Winifred Nolan
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
- NHIR Biomedical Reserach Centre, Moorfields and UCL Institute of Ophthalmology, London, UK
| | - Matthew J Burton
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
| | - Iris Gordon
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
| | - Jennifer R Evans
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
| | - Victor H Hu
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, International Centre for Eye Health, London, UK
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Jo JJ, Pasquale LR. Recent developments of telemedicine in glaucoma. Curr Opin Ophthalmol 2024; 35:116-123. [PMID: 38295153 DOI: 10.1097/icu.0000000000001019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
PURPOSE OF REVIEW Telemedicine has an increasingly significant role in the fields of ophthalmology and glaucoma. This review covers recent advancements in the development and optimization of teleglaucoma techniques and applications. RECENT FINDINGS Glaucoma monitoring and diagnosis via remote tonometry, perimetry, and fundus imaging have become a possibility based on recent developments. Many applications work in combination with smart devices, virtual reality, and artificial intelligence and have been tested in patient populations against conventional "reference-standard" measurement tools, demonstrating promising results. Of note, there is still much progress to be made in teleglaucoma and telemedicine at large, such as accessibility to internet, broadband, and smart devices, application affordability, and reimbursement for remote services. However, continued development and optimization of these applications suggest that the implementation of remote monitoring will be a mainstay for glaucoma patient care. SUMMARY Especially since the beginning of the COVID-19 pandemic, remote patient care has taken on an important role in medicine and ophthalmology. Remote versions of tonometry, perimetry, and fundus imaging may allow for a more patient-centered and accessible future for glaucoma care.
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Affiliation(s)
- Jason J Jo
- Department of Medical Education
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Louis R Pasquale
- Department of Medical Education
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Appukumran R, Shyamsundar K, Agrawal M, Khurana R, Pannu A, Kumar P. Eight years' experience in mobile teleophthalmology for diabetic retinopathy screening. MEDICAL HYPOTHESIS, DISCOVERY & INNOVATION OPHTHALMOLOGY JOURNAL 2023; 11:162-170. [PMID: 37641607 PMCID: PMC10460246 DOI: 10.51329/mehdiophthal1460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 01/04/2023] [Indexed: 08/31/2023]
Abstract
Background Screening for diabetic retinopathy in the community without compromising the routine work of ophthalmologists at hospitals is the essence of teleophthalmology. This study was aimed at investigating the efficacy of teleophthalmology practice for screening diabetic retinopathy from 2012 to 2020. It was also aimed at comparing the 2-year prevalence of camps organized by a district hospital in South India, as well as the footfall, reporting, follow-up, patient response, and diagnostic efficacy at these camps. Methods All patients with diabetes and unexplained vision deterioration attending the mobile camp units underwent non-dilated fundus photography. Patients underwent teleconsultation with the ophthalmologist at the district hospital, and those requiring intervention were called to the district hospital. Trends were studied for the number of patients reporting to the hospital. Patient satisfaction was recorded based on a questionnaire. Results A total of 682 camps were held over 8 years, and 30 230 patients were examined. Teleconsultation was done for 12 157 (40.21%) patients. Patients requiring further investigations, intervention for diabetic retinopathy, or further management of other ocular pathologies were urgently referred to the district hospital (n= 3293 [10.89%] of 30 230 examined patients). The severity and presence of clinically significant macular edema increased significantly with an increased duration of diabetes mellitus (P < 0.001). The percentage of teleconsultations showed an increasing trend over the years (P = 0.001). Similarly, considering trends of patients reporting to the hospital, the attrition rate decreased over the years (P < 0.05). A total of 10 974 of 12 157 (90.27%) patients who underwent teleophthalmic consultation were satisfied with the service. Conclusions Teleconsultations over the years showed an increasing trend, and the attrition rate decreased over the years. Teleophthalmology is achieving success in providing high-quality service, easy access to care, and in increasing patient satisfaction. Future studies on the role of teleophthalmology for other leading preventable causes of blindness seem possible and necessary.
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Affiliation(s)
| | | | - Mohini Agrawal
- Department of Ophthalmology, Military Hospital, Jalandhar, Punjab, India
| | - Rolli Khurana
- Department of Ophthalmology, Military Hospital, Ahmedabad, India
| | - Anju Pannu
- Department of Community Medicine, Armed Forces Medical College, Pune, India
| | - Praveen Kumar
- Department of Community Medicine, Armed Forces Medical College, Pune, India
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Deep Learning-Based Glaucoma Screening Using Regional RNFL Thickness in Fundus Photography. Diagnostics (Basel) 2022; 12:diagnostics12112894. [PMID: 36428954 PMCID: PMC9689347 DOI: 10.3390/diagnostics12112894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/14/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022] Open
Abstract
Since glaucoma is a progressive and irreversible optic neuropathy, accurate screening and/or early diagnosis is critical in preventing permanent vision loss. Recently, optical coherence tomography (OCT) has become an accurate diagnostic tool to observe and extract the thickness of the retinal nerve fiber layer (RNFL), which closely reflects the nerve damage caused by glaucoma. However, OCT is less accessible than fundus photography due to higher cost and expertise required for operation. Though widely used, fundus photography is effective for early glaucoma detection only when used by experts with extensive training. Here, we introduce a deep learning-based approach to predict the RNFL thickness around optic disc regions in fundus photography for glaucoma screening. The proposed deep learning model is based on a convolutional neural network (CNN) and utilizes images taken with fundus photography and with RNFL thickness measured with OCT for model training and validation. Using a dataset acquired from normal tension glaucoma (NTG) patients, the trained model can estimate RNFL thicknesses in 12 optic disc regions from fundus photos. Using intuitive thickness labels to identify localized damage of the optic nerve head and then estimating regional RNFL thicknesses from fundus images, we determine that screening for glaucoma could achieve 92% sensitivity and 86.9% specificity. Receiver operating characteristic (ROC) analysis results for specificity of 80% demonstrate that use of the localized mean over superior and inferior regions reaches 90.7% sensitivity, whereas 71.2% sensitivity is reached using the global RNFL thicknesses for specificity at 80%. This demonstrates that the new approach of using regional RNFL thicknesses in fundus images holds good promise as a potential screening technique for early stage of glaucoma.
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