Article
Multidisciplinary Sciences
Tae Seen Kang, Yeongseop Lee, Seongjin Lee, Kyonghoon Kim, Woong-sub Lee, Woohyuk Lee, Jin Hyun Kim, Yong Seop Han
Summary: This study investigated the automated analysis of anterior chamber cell images using spectral domain OCT and its comparison with the SUN grading system. Results showed a strong correlation between the two methods, with significant differences observed in cell density, size, and eccentricity in different eye conditions. Despite limitations, anterior segment SD-OCT proves to be a reliable, fast, and accurate means of anterior chamber cell analysis.
SCIENTIFIC REPORTS
(2021)
Article
Ophthalmology
Xiaoxuan Liu, Aditya U. Kale, Giovanni Ometto, Giovanni Montesano, Alice J. Sitch, Nicholas Capewell, Charlotte Radovanovic, Nicholas Bucknall, Nicholas A. V. Beare, David J. Moore, Pearse A. Keane, David P. Crabb, Alastair K. Denniston
Summary: The study demonstrates that optical coherence tomography (OCT) can reliably quantify vitreous haze (VH) and its measurement is associated with clinical grading of VH and visual acuity (VA). However, the accuracy of OCT measurements may be affected by media opacities.
TRANSLATIONAL VISION SCIENCE & TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Jan Henrik Terheyden, Giovanni Ometto, Giovanni Montesano, Maximilian W. M. Wintergerst, Magdalena Langner, Xiaoxuan Liu, Pearse A. Keane, David P. Crabb, Alastair K. Denniston, Robert P. Finger
Summary: Automated quantification of vitreous intensity in uveitis patients using OCT is reliable, with only three widely distributed B-scans being sufficient for reliable measurement. The highest reliability is achieved when using seven central B-scans.
SCIENTIFIC REPORTS
(2021)
Article
Ophthalmology
Hyungwoo Lee, Seungmin Kim, Hyewon Chung, Hyung Chan Kim
Summary: The study successfully achieved automated segmentation of vHF, vitreous, and RPE in patients with uveitis using a deep learning approach. The results showed good agreement between the quantified data and clinicians' assessments, indicating high reliability in the measurements.
RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
(2021)
Article
Ophthalmology
Hyungwoo Lee, Seungmin Kim, Hyewon Chung, Hyung Chan Kim
Summary: The study accomplished automated segmentation of vHF, vitreous, and RPE in optical coherence tomography images of patients with uveitis using a deep learning approach, and quantified the vHF count and VIT/RPE-relative intensity with high reliability.
RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
(2021)
Article
Biochemistry & Molecular Biology
Avik Shome, Odunayo O. Mugisho, Rachael L. Niederer, Ilva D. Rupenthal
Summary: This study aimed to develop a comprehensive grading system to objectively evaluate the progression of experimental autoimmune uveitis (EAU) in mice. Weekly fundus and optical coherence tomography (OCT) images were acquired over 12 weeks, and each mouse was graded based on changes seen on both types of images. The analysis of the clinical scores showed a gradual increase in inflammatory signs in EAU mice, with most signs reaching a plateau towards the end of the study period. The development of this grading system enhances the preclinical evaluation of novel uveitis treatments.
Article
Medicine, General & Internal
Hiroshi Keino, Takuto Aman, Ryota Furuya, Makiko Nakayama, Annabelle A. Okada, Wataru Sunayama, Yuji Hatanaka
Summary: This study aimed to develop an automated method for evaluating anterior chamber (AC) cells in uveitis using optical coherence tomography (OCT) images. By analyzing the images with software and an automated algorithm, approximate AC grading values were obtained based on the correlation with Standardization of Uveitis Nomenclature (SUN) grading scores. The results showed significant correlations between the automated cellular spots analysis and the clinical scores, providing continuous AC grading values. This method improves the accuracy of quantitative assessment and allows objective and rapid evaluation of anterior segment inflammation in uveitis.
Article
Ophthalmology
Aina Moll-Udina, Marina Dotti-Boada, Lucia Miguel, Anabel Rodriguez, Jesus Gascon, Maite Sainz de la Maza, Alfredo Manuel Adan Civera, Blanca Molins, Victor Llorenc
Summary: Multimodal imaging can be used to identify the activity status of patients with birdshot chorioretinitis. Qualitative and quantitative parameters in the fundus and macular region can serve as non-invasive biomarkers for close monitoring of disease activity in these patients.
ACTA OPHTHALMOLOGICA
(2023)
Article
Biochemical Research Methods
Zhijian Huang, Delang Hen, Zhichao Iang, Shuangyang Hang, Zhenyang Iu, Wufan Hen, Li Qi
Summary: This study proposes a fully automatic framework for 3D airway reconstruction based on endoscopic airway optical coherence tomography (OCT). It includes automatic detection of the airway lumen contour, correction of rotational distortion, and anatomic bending reconstruction. The proposed framework has the potential to improve the efficiency of endoscopic OCT image analysis.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Biochemical Research Methods
Zhijian Zhuang, Delang Chen, Zhichao Liang, Shuangyang Zhang, Zhenyang Liu, Wufan Chen, Li Qi
Summary: Endoscopic airway optical coherence tomography is a non-invasive and high resolution imaging technique used for the diagnosis and analysis of airway-related diseases. This study presents a fully automatic framework, using a long-range endoscopic OCT imaging system equipped with a magnetic tracker, to reconstruct the 3D upper airway model with correct bending anatomy.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Medicine, General & Internal
Junhui Shen, Jinfeng Kong, Si Chen, Xin Liu, Yan Teng, Hailan Wu, Lijuan Wang, Manman Wu, Zhaoan Su, Lei Feng
Summary: Analysis of OCTA quantitative parameters in patients with autoimmune posterior uveitis revealed significant differences in retinal thickness, vascular density, and other parameters compared to normal control eyes. These parameters were also found to have a significant correlation with visual acuity in uveitis patients, suggesting OCTA as a promising tool for objective assessment.
FRONTIERS IN MEDICINE
(2022)
Article
Multidisciplinary Sciences
Olivier Morelle, Maximilian W. M. Wintergerst, Robert P. Finger, Thomas Schultz
Summary: Drusen are important biomarkers for age-related macular degeneration (AMD). Accurate segmentation of drusen based on optical coherence tomography (OCT) is crucial for disease detection, assessment, and treatment. This study proposes a novel deep learning architecture that predicts the position of retinal layers in OCT and achieves state-of-the-art results in retinal layer segmentation.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Lionel D. Fiske, Maurice C. G. Aalders, Mitra Almasian, Ton G. van Leeuwen, Aggelos K. Katsaggelos, Oliver Cossairt, Dirk J. Faber
Summary: Optical coherence tomography (OCT) is an optical technique for volumetric visualization of translucent materials, with additional information gained through depth-resolved attenuation analysis. Despite the presence of speckle causing fluctuations in OCT images, depth-resolved attenuation analysis can still provide insight into tissue structure and organization.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Nazanin Ebrahimiadib, Zahra Kianzad, Mohammad Zarei, Samaneh Davoudi, Hamid Riazi-Esfahani, Fatemeh Bazvand, Zahra Mahdizad, Bobeck S. Modjtahedi
Summary: This study found that non-cystic thickening of the macula on optical coherence tomography (OCT) can reliably predict the presence of retinal vascular leakage in patients with uveitis.
SCIENTIFIC REPORTS
(2022)
Article
Optics
Oscar Ramos-Soto, Hang Chan Jo, Robert J. Zawadzki, Dae Yu Kim, Sandra E. Balderas-Mata
Summary: In this study, an automated method for iris and corneal segmentation and measurement of morphometric parameters in zebrafish eyes is proposed. The method combines image processing techniques and deep learning algorithms to achieve automatic segmentation and measurement. The effectiveness of the method is evaluated by comparing the results with manual measurements, which show high reliability. This automated framework can be used for large-scale studies on zebrafish anterior chamber morphology.
Article
Ophthalmology
Susan P. Mollan, Dun Jack Fu, Ching-Yi Chuo, Jacqueline G. Gannon, Wen Hwa Lee, J. Jill Hopkins, Cian Hughes, Alastair K. Denniston, Pearse A. Keane, Ronald Cantrell
Summary: By combining data from a national digital health data repository with historical clinical trial data, we demonstrate an enhanced predictive modeling in nAMD. The detrimental effects of prolonged treatment delay should motivate healthcare providers to support nAMD patients in accessing care in safe environments.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Ophthalmology
Antonio Calcagni, Olivia Howells, Hannah Bartlett, Alastair K. O. Denniston, Jonathan M. Gibson, Christopher R. Hogg, Timothy D. Matthews, Frank Eperjesi
Summary: This study investigated the role of color vision in identifying individuals at high risk of developing neovascular age-related macular degeneration (nAMD). The results showed that color vision was frequently abnormal in the unaffected eyes of patients with unilateral nAMD. However, abnormal color contrast sensitivity (CCS) did not predict the development of nAMD within the study period, suggesting that it is not a viable screening tool for this pathology.
Review
Ophthalmology
Aditya U. Kale, Alba Serrano, Xiaoxuan Liu, Balini Balasubramaniam, Pearse A. Keane, David J. Moore, Victor Llorenc, Alastair K. Denniston
Summary: Uveitis, a group of syndromes characterized by intraocular inflammation, affects up to 10% of the global population. Traditional assessment methods rely on subjective grading by clinicians, but advancements in imaging technology, such as OCT, allow for objective and quantitative evaluation. Monitoring important quantitative metrics enables a comprehensive assessment of ocular inflammation.
OCULAR IMMUNOLOGY AND INFLAMMATION
(2023)
Review
Ophthalmology
Richard P. Gale, Robert P. Finger, Bora Eldem, Tariq Aslam, Jane Barratt, Vincent Daien, Laurent Kodjikian, Anat Loewenstein, Mali Okada, Tien Yin Wong, Michelle Sylvanowicz, Francisco J. Rodriguez
Summary: This systematic literature review investigates patient-reported outcomes, mental health, and caregiver burden in patients with neovascular age-related macular degeneration (nAMD) treated with anti-vascular endothelial growth factor (VEGF) agents. The results show that up to 42% of patients with nAMD report depression or depressive symptoms. Studies indicate that anti-VEGF treatment significantly improves quality of life, with approximately 50% of patients experiencing sustained benefits at 12 months. Patients show a preference for the treat and extend regimen, which is associated with reduced patient and caregiver burden compared to fixed dosing.
ACTA OPHTHALMOLOGICA
(2023)
Article
Ophthalmology
Noemi Lois, Christina Campbell, Norman Waugh, Augusto Azuara-Blanco, Mandy Maredza, Hema Mistry, Danny McAuley, Nachiketa Acharya, Tariq M. Aslam, Clare Bailey, Victor Chong, Louise Downey, Haralabos Eleftheriadis, Samia Fatum, Sheena George, Faruque Ghanchi, Markus Groppe, Robin Hamilton, Geeta Menon, Ahmed Saad, Sobha Sivaprasad, Marianne Shiew, David H. Steel, James Stephen Talks, Paul Doherty, Cliona McDowell, Mike Clarke
Summary: The purpose of this study was to compare the clinical effectiveness, safety, and cost-effectiveness of subthreshold micropulse laser (SML) and standard laser (SL) for diabetic macular edema (DME) with central retinal thickness (CRT) < 400 μm. The results showed that SML therapy was equivalent to SL therapy and required slightly more laser treatments.
Article
Anesthesiology
James S. Bowness, David Burckett-St Laurent, Nadia Hernandez, Pearse A. Keane, Clara Lobo, Steve Margetts, Eleni Moka, Amit Pawa, Meg Rosenblatt, Nick Sleep, Alasdair Taylor, Glenn Woodworth, Asta Vasalauskaite, J. Alison Noble, Helen Higham
Summary: This study evaluated the accuracy of an artificial intelligence-based colour overlay device and its impact on the risk of adverse events and block failure during ultrasound-guided regional anaesthesia. The device accurately identified anatomical structures and reduced the risk of adverse events and block failure.
BRITISH JOURNAL OF ANAESTHESIA
(2023)
Article
Ophthalmology
Alasdair N. Warwick, Katie Curran, Barbra Hamill, Kelsey Stuart, Anthony P. Khawaja, Paul J. Foster, Andrew J. Lotery, Michael Quinn, Savita Madhusudhan, Konstantinos Balaskas, Tunde Peto
Summary: This study describes the grading methods and baseline characteristics for UK Biobank participants who underwent retinal imaging, and characterizes individuals with retinal features suggestive of age-related macular degeneration, glaucoma, and retinopathy. The results provide important insights into both ocular and systemic health.
Article
Ophthalmology
Dun Jack Fu, Daren Hanumunthadu, Tiarnan D. L. Keenan, Siegfried Wagner, Konstantinos Balsakas, Pearse A. Keane, Praveen J. Patel
Summary: This study aims to evaluate the proportion of AMD patients achieving a 12-week dosing interval of aflibercept. The study found that 68% of eyes were able to achieve a q12 injection dose within the first 2 years of treatment. Eyes achieving a q12 injection had similar visual acuity outcomes at both 1 and 2-year follow-up to those unable to do so, with fewer total injections.
Review
Health Care Sciences & Services
Henry David Jeffry Hogg, Mohaimen Al-Zubaidy, James Talks, Alastair K. Denniston, J. Kelly, Johann Malawana, Chrysanthi Papoutsi, Marion Dawn Teare, Pearse A. Keane, Fiona R. Beyer, Gregory Maniatopoulos
Summary: This qualitative systematic review identifies key stakeholders and their perspectives on clinical AI implementation, highlighting the interdependent factors and the importance of considering multiple stakeholder perspectives in research and practice. The underrepresentation of perspectives from stakeholders other than healthcare professionals may limit the understanding and management of factors influencing successful clinical AI implementation.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Letter
Biochemistry & Molecular Biology
Giovanni E. Cacciamani, Timothy N. Chu, Daniel I. Sanford, Andre Abreu, Vinay Duddalwar, Assad Oberai, C. -C. Jay Kuo, Xiaoxuan Liu, Alastair K. Denniston, Baptiste Vasey, Peter McCulloch, Robert F. Wolff, Sue Mallett, John Mongan, Charles E. Kahn, Viknesh Sounderajah, Ara Darzi, Philipp Dahm, Karel G. M. Moons, Eric Topol, Gary S. Collins, David Moher, Inderbir S. Gill, Andrew J. Hung
Review
Ophthalmology
Jesse Panthagani, Charles O'Donovan, Olalekan Lee Aiyegbusi, Xiaoxuan Liu, Susan Bayliss, Melanie Calvert, Konrad Pesudovs, Alastair K. Denniston, David J. Moore, Tasanee Braithwaite
Summary: This study aims to search for and critically evaluate the psychometric quality of patient-reported outcome measures (PROMs) developed or validated in optic neuritis. The results indicate that there is still a need for the development and improvement of PROMs applicable to optic neuritis.
Article
Ophthalmology
Daren Hanumunthadu, Azahir Saleh, Daniela Florea, Konstantinos Balaskas, Pearse A. Keane, Tariq Aslam, Praveen J. Patel
Summary: This study used optical coherence tomography angiography (OCTA) to describe the disease activity features of treated stable macular neovascularisation (MNV) in neovascular age related macular degeneration (nAMD) patients. The results showed that OCTA can still detect MNV blood flow in treated stable MNV patients.
Article
Ophthalmology
Iris Kleerekooper, Siegfried K. Wagner, S. Anand Trip, Gordon T. Plant, Axel Petzold, Pearse A. Keane, Anthony P. Khawaja
Summary: This study investigates whether a novel index of macular atrophy patterns can discriminate between chiasmal compression and glaucoma. The results show that the macular naso-temporal ratio (mNTR), derived from comparing the nasal and temporal hemi-macula, can distinguish between glaucoma and chiasmal compression with high discrimination.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Ophthalmology
Fares Antaki, Daniel Milad, Mark A. Chia, Charles-Edouard Giguere, Samir Touma, Jonathan El-Khoury, Pearse A. Keane, Renaud Duval
Summary: This study tested the performance of GPT-4, a large language model, in the ophthalmology question-answering domain. The results showed that GPT-4-0.3 achieved the highest accuracy among the models tested, with an 18.3% improvement compared to GPT-3.5. Human graders preferred responses from models with a higher temperature. GPT-4-0.3 performed numerically better than human performance, but the difference was not statistically significant.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Ophthalmology
Edward J. Bilton, Emily J. Guggenheim, Balazs Baranyi, Charlotte Radovanovic, Rowena L. Williams, William Bradlow, Alastair K. Denniston, Susan P. Mollan
Summary: This article describes the data set for retinal vein occlusion (RVO) and cardiovascular disease in the INSIGHT eye health data set. The data set contains a large amount of clinical data and ocular images, which can be used for research and improvement of patient treatment and prognosis.
OPHTHALMOLOGY SCIENCE
(2023)
