Deep learning in ophthalmology: The technical and clinical considerations

The advent of computer graphic processing units, improvement in mathematical models and availability of big data has allowed artificial intelligence (AI) using machine learning (ML) and deep learning (DL) techniques to achieve robust performance for broad applications in social-media, the internet of things, the automotive industry and healthcare. DL systems in particular provide improved capability in image, speech and motion recognition as well as in natural language processing. In medicine, significant progress of AI and DL systems has been demonstrated in image-centric specialties such as radiology, dermatology, pathology and ophthalmology. New studies, including pre-registered prospective clinical trials, have shown DL systems are accurate and effective in detecting diabetic retinopathy (DR), glaucoma, age-related macular degeneration (AMD), retinopathy of prematurity, refractive error and in identifying cardiovascular risk factors and diseases, from digital fundus photographs. There is also increasing attention on the use of AI and DL systems in identifying disease features, progression and treatment response for retinal diseases such as neovascular AMD and diabetic macular edema using optical coherence tomography (OCT). Additionally, the application of ML to visual fields may be useful in detecting glaucoma progression. There are limited studies that incorporate clinical data including electronic health records, in AL and DL algorithms, and no prospective studies to demonstrate that AI and DL algorithms can predict the development of clinical eye disease. This article describes global eye disease burden, unmet needs and common conditions of public health importance for which AI and DL systems may be applicable. Technical and clinical aspects to build a DL system to address those needs, and the potential challenges for clinical adoption are discussed. AI, ML and DL will likely play a crucial role in clinical ophthalmology practice, with implications for screening, diagnosis and follow up of the major causes of vision impairment in the setting of ageing populations globally

The use of 1050nm OCT to identify changes in optic nerve head pathophysiology in glaucoma

Glaucoma is a progressive optic neuropathy that causes irreversible vision loss and is the second leading cause of blindness worldwide. Glaucoma is characterised by loss of retinal ganglion cells (RGC) and the proposed site of primary damage is the lamina cribrosa (LC), where RGC axonal transport is disrupted causing subsequent RGC damage and eventual cell death. Current detection for primary open angle glaucoma (POAG) is based upon clinical measures such as intraocular pressure (IOP), visual field loss and changes to the optic nerve head (ONH). However, for there to be an indication that there is a problem using these measures, often RGC damage has already occurred. Therefore it is crucial to determine ocular parameters that alter in the earliest stage of disease, prior to vision loss occurring. In this thesis optical coherence tomography (OCT) was used to assess the optic nerve heads and maculae of control eyes and eyes with preperimetric, early and advanced glaucoma in order to characterise changes that could potentially be used as biomarkers for the earliest stages of the disease. A custom built 1050 nm research OCT was used to acquire datasets from the macula and optic nerve heads of eyes glaucomatous and control eyes in vivo. Analysis of the inner retinal layers at the macula was performed to indirectly assess RGC integrity. At the ONH the prelamina and LC volume and regional depth and thicknesses were investigated. Additionally, nerve fibre layer and Bruch’s membrane parameters were assessed. Finally, LC beam coherence and orientation were probed in order to determine whether regional or glaucomatous changes ould be detected at the LC connective tissue microstructure. Prelamina depth and thickness was shown to be an indicator of early and preperimetric glaucoma (p0.01). Border nerve fibre layer revealed significant thinning in early glaucoma compared to control, and the superior peripapillary nerve fibre layer was thinner in preperimetric glaucoma than control. The ratio of inner plexiform layer (IPL) : ganglion cell layer (GCL) showed significant differences between control eyes and preperimetric glaucoma, and as such has potential to be a useful biomarker for indicating the earliest stages of disease. Both the GCL and IPL were thinner in early glaucoma than control (p<0.01), a hypothesis that cell body shrinkage and death occurs in preperimetric glaucoma and dendritic loss occurs in early glaucoma, when vision loss is first apparent, is suggested. Additionally, LC beams showed greater coherence in the superior and inferior poles than the temporal region, indicating that the shows regional variation but that further research is required to characterise changes. In conclusion, 1050 nm OCT was used to probe microstructural parameters of the optic nerve head in vivo to characterise changes that could be used as a potential biomarker for early glaucoma. ONH and retinal parameters have been identified that, with further research, may be used to differentiate between control eyes and those with preperimetric and early glaucoma. These have the potential to help identify those ONHs at risk of glaucoma damage

An in vivo investigation of optic nerve head microstructure in primary open angle glaucoma

Glaucoma remains the leading cause of irreversible blindness in the world. Since retinal ganglion cell (RGC) axonal degeneration precedes permanent vision loss, identification of ONH parameters affected in the earliest stages of primary open angle glaucoma (POAG) is critical to ensure early diagnosis. This cross-sectional study used enhanced-depth imaging optical coherence tomography (EDI-OCT; 1040/70nm) to acquire 10° and 20° scans centred on the ONH (glaucomatous; n=128 or healthy controls; n=60). Regional measures of prelamina and LC depth and thickness, nerve fibre layer thickness at ONH border (bNFL) and peripapillary (pNFL), neuroretinal minimum rim width; (MRW) and area; (MRA) were analysed. This is the first study to quantify volumetric parameters including optic cup, prelamina and LC volume, and also Bruch’s membrane opening (BMO) surface area. Furthermore, LC connective tissue alignment was probed regionally and depth-wise within the LC. Statistical modelling was performed to identify ONH parameters that best contributed to characterisation of ONHs in the earliest stages of POAG. Regional measures of prelamina depth and thickness, and LC thickness were able to differentiate between control eyes and preperimetric (PG), and early glaucoma (EG) (P<0.05). Additionally, EG LC volume was significantly less than in controls (P<0.05). Significant associations of these parameters with loss of VF sensitivity (VF Mean deviation [MD]) were identified. Border and pNFL thickness, MRW (but not MRA) significantly differed between controls and PG and EG (P<0.05); and decreased with VF MD. Lamina cribrosa connective tissue alignment altered in a region and depth specific manner between PG LC and controls, or EG LCs (P<0.05), providing an original in vivo indicator of disease. In conclusion, in vivo ONH and NFL parameters are able to discriminate between healthy ONHs and early POAG ONHs; providing a group index with potential as a novel biomarker for early diagnosis, critical to personalised clinical decision making

Qhaway: una herramienta de apoyo para el diagnóstico del glaucoma con aprendizaje profundo

Propone un método para el diagnóstico del glaucoma basado en un modelo híbrido de modelos DL, con el cual usando imágenes del fondo de ojo de un paciente se consigue hacer el diagnóstico con alta precisión. Se consideró la integración de los dataset públicos de glaucoma HRF, Drishti-GS1, sjchoi86-HRF, RIM-ONE y ACRIMA, con un total de 1707 imágenes (919 normal y 788 glaucoma) del fondo de ojo, un modelo híbrido de Voting sobre los modelos de DL ResNet50 con dos tipos de fine tuning y ResNet50V2, y la implementación usando Keras y Tensor Flow, con lo que se consiguió un diagnóstico con exactitud del 96.55%, sensibilidad del 98.54% y especificidad del 94.32%. Además, los experimentos numéricos muestran que el aprendizaje usando 5 bases de datos permite mejores resultados que por separado, incluso aplicando transfer learning, también muestran que el modelo híbrido voting genera una exactitud superior en 20.69% a la mejor exactitud obtenido por el mejor modelo de DL (DenseNet169) usando un dataset, 13.22% al mejor modelo (ResNet50V2) usando transfer learning con los 5 datasets, y 1.72% al mejor modelo (ResNet50) considerando los 5 dataset

Biomechanical aspects of the anterior segment in human myopia

The thesis investigates the relationship between the biomechanical properties of the anterior human sclera and cornea in vivo using Schiotz tonometry (ST), rebound tonometry (RBT, iCare) and the Ocular Response Analyser (ORA, Reichert). Significant differences in properties were found to occur between scleral quadrants. Structural correlates for the differences were examined using Partial Coherent Interferometry (IOLMaster, Zeiss), Optical Coherent tomography (Visante OCT), rotating Scheimpflug photography (Pentacam, Oculus) and 3-D Magnetic Resonance Imaging (MRI). Subject groups were employed that allowed investigation of variation pertaining to ethnicity and refractive error. One hundred thirty-five young adult subjects were drawn from three ethnic groups: British-White (BW), British-South-Asian (BSA) and Hong-Kong-Chinese (HKC) comprising non-myopes and myopes. Principal observations: ST demonstrated significant regional variation in scleral resistance a) with lowest levels at quadrant superior-temporal and highest at inferior-nasal; b) with distance from the limbus, anterior locations showing greater resistance. Variations in resistance using RBT were similar to those found with ST; however the predominantly myopic HKC group had a greater overall mean resistance when compared to the BW-BSA group. OCT-derived scleral thickness measurements indicated the sclera to be thinner superiorly than inferiorly. Thickness varied with distance from the corneolimbal junction, with a decline from 1 to 2 mm followed by a successive increase from 3 to 7 mm. ORA data varied with ethnicity and refractive status; whilst axial length (AL) was associated with corneal biometrics for BW-BSA individuals it was associated with IOP in the HKC individuals. Complex interrelationships were found between ORA Additional-Waveform-Parameters and biometric data provided by the Pentacam. OCT indicated ciliary muscle thickness to be greater in myopia and more directly linked to posterior ocular volume (from MRI) than AL. Temporal surface areas (SAs, from MRI) were significantly smaller than nasal SAs in myopic eyes; globe bulbosity (from MRI) was constant across quadrants

Biomechanical aspects of the anterior segment in human myopia

The thesis investigates the relationship between the biomechanical properties of the anterior human sclera and cornea in vivo using Schiotz tonometry (ST), rebound tonometry (RBT, iCare) and the Ocular Response Analyser (ORA, Reichert). Significant differences in properties were found to occur between scleral quadrants. Structural correlates for the differences were examined using Partial Coherent Interferometry (IOLMaster, Zeiss), Optical Coherent tomography (Visante OCT), rotating Scheimpflug photography (Pentacam, Oculus) and 3-D Magnetic Resonance Imaging (MRI). Subject groups were employed that allowed investigation of variation pertaining to ethnicity and refractive error. One hundred thirty-five young adult subjects were drawn from three ethnic groups: British-White (BW), British-South-Asian (BSA) and Hong-Kong-Chinese (HKC) comprising non-myopes and myopes. Principal observations: ST demonstrated significant regional variation in scleral resistance a) with lowest levels at quadrant superior-temporal and highest at inferior-nasal; b) with distance from the limbus, anterior locations showing greater resistance. Variations in resistance using RBT were similar to those found with ST; however the predominantly myopic HKC group had a greater overall mean resistance when compared to the BW-BSA group. OCT-derived scleral thickness measurements indicated the sclera to be thinner superiorly than inferiorly. Thickness varied with distance from the corneolimbal junction, with a decline from 1 to 2 mm followed by a successive increase from 3 to 7 mm. ORA data varied with ethnicity and refractive status; whilst axial length (AL) was associated with corneal biometrics for BW-BSA individuals it was associated with IOP in the HKC individuals. Complex interrelationships were found between ORA Additional-Waveform-Parameters and biometric data provided by the Pentacam. OCT indicated ciliary muscle thickness to be greater in myopia and more directly linked to posterior ocular volume (from MRI) than AL. Temporal surface areas (SAs, from MRI) were significantly smaller than nasal SAs in myopic eyes; globe bulbosity (from MRI) was constant across quadrants.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Advances in Ophthalmology

This book focuses on the different aspects of ophthalmology - the medical science of diagnosis and treatment of eye disorders. Ophthalmology is divided into various clinical subspecialties, such as cornea, cataract, glaucoma, uveitis, retina, neuro-ophthalmology, pediatric ophthalmology, oncology, pathology, and oculoplastics. This book incorporates new developments as well as future perspectives in ophthalmology and is a balanced product between covering a wide range of diseases and expedited publication. It is intended to be the appetizer for other books to follow. Ophthalmologists, researchers, specialists, trainees, and general practitioners with an interest in ophthalmology will find this book interesting and useful