OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 28, 2025

Abstract Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, current automated diagnostic approaches on diagnosis solely rely black-box deep learning models, lacking explainability and trustworthiness. To address issue, this study uses optical coherence tomography (OCT) images develop an explainable artificial intelligence (XAI) tool for diagnosing staging glaucoma, with focus its clinical applicability. A total of 334 normal 268 glaucomatous eyes (86 early, 72 moderate, 110 advanced) were included, signal processing theory was employed, model interpretability rigorously evaluated. Leveraging SHapley Additive exPlanations (SHAP)-based global feature ranking partial dependency analysis (PDA) estimated decision boundary cut-offs machine (ML) novel algorithm developed implement XAI tool. Using selected features, ML models produce AUC 0.96 (95% CI: 0.95–0.98), 0.98 0.96–1.00) 1.00 1.00–1.00) respectively differentiating moderate advanced glaucoma patients. Overall, outperformed clinicians early stage overall 10.4 –11.2% higher accuracy. The user-friendly software shows potential as valuable eye care practitioners, offering transparent interpretable insights improve decision-making.

Язык: Английский

---

Wide-field OCT volumetric segmentation using semi-supervised CNN and transformer integration

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

Язык: Английский

---

Clinical outcomes of the Centre for Eye Health: an intra-professional optometry-led collaborative eye care clinic in Australia

Clinical and Experimental Optometry, Год журнала: 2021, Номер 104(7), С. 795 - 804

Опубликована: Фев. 25, 2021

Henrietta Wangab & Michael Kalloniatisab* a Centre for Eye Health, Sydney, Australiab School of Optometry and Vision Science, University New South Wales, Australia

Язык: Английский

---

A novel automated komodo Mlipir optimization-based attention BiLSTM for early detection of diabetic retinopathy

Signal Image and Video Processing, Год журнала: 2023, Номер 17(5), С. 1945 - 1953

Опубликована: Янв. 18, 2023

Язык: Английский

---

Optical coherence tomography angiography in the diagnosis of ocular disease

Clinical and Experimental Optometry, Год журнала: 2024, Номер 107(5), С. 482 - 498

Опубликована: Март 7, 2024

Clinical imaging provided by optical coherence tomography (OCT) and its variant, OCT-angiography (OCT-A), has revolutionised eyecare practice. The techniques allow for the identification quantification of ocular structures, supporting diagnosis prognosis eye disease. In this review, an overview usefulness OCT-A in management a range conditions is when used isolation or combination with other modalities measures visual function (visual field results). capacity to identify quantify vasculature non-invasively, thereby assisting clinician determine efficacy intervention impacting retinal vasculature. Thus, additional clinically useful information can be obtained diseases involving such as those vessel occlusion, diabetic retinopathy, inherited dystrophy, age-related macular degeneration, choroidal neovascularisation optic nerve disorders. Through clinical case series, various are reviewed, impact discussed. Although great promise already management, there lack set standards characterise altered vascular features disease consequently prognostication, primarily due large-scale trials variability algorithms generating quantitative parameters.

Язык: Английский

---

Correction to: Visualization of microaneurysms using optical coherence tomography angiography: comparison of OCTA en face, OCT B‑scan, OCT en face, FA, and IA images

Japanese Journal of Ophthalmology, Год журнала: 2018, Номер 62(2), С. 176 - 178

Опубликована: Фев. 24, 2018

Язык: Английский

---

The Eye in Forensic Medicine: A Narrative Review

Asia-Pacific Journal of Ophthalmology, Год журнала: 2021, Номер 10(5), С. 486 - 494

Опубликована: Сен. 1, 2021

The eye, with its distinctive anatomy, not only reflects a wide variety of diseases in life but also undergoes myriad post-mortem changes. Consequently, the eye has long been an area interest forensic science, primarily for estimation interval and therefore time death assistance ascertaining cause death. There significant progress knowledge ophthalmic science using new technologies which have allowed further possibilities to arise where understanding this field can assist pathologist. This review aims highlight current exists identify important avenues investigation. Post-mortem changes along applications challenges will be discussed. These include areas iris biometrics, pupil size correlation interval, use point-of-care technology on vitreous humor, imaging pediatric abusive head trauma.

Язык: Английский

---

Management of open‐angle glaucoma by primary eye‐care practitioners: toward a personalised medicine approach

Clinical and Experimental Optometry, Год журнала: 2020, Номер 104(3), С. 367 - 384

Опубликована: Авг. 18, 2020

Glaucoma is the leading cause of irreversible blindness worldwide. As a chronic disease, glaucoma presents significant burden to individual, health‐care provider and system. Currently, strategies for treating are focused on lowering intraocular pressure, which aimed at slowing or arresting disease progression over time. This only current accepted therapeutic strategy glaucoma, can be achieved using topical drugs, laser trabeculoplasty, filtration surgery cyclodestructive techniques. The pressure has been well‐supported by numerous large‐scale seminal clinical trials in primary open‐angle both its early advanced stages. Although such guidance remains current, last 10-years, there evolution preferred first‐line therapies treatment with resultant shift practice patterns, particularly course disease. These changes reflect from perspective doctor – titrating most effective least risky modality patient, consenting that preserves vision results minimal negative impact quality life. In this review, recent evidence regarding modalities presented an updated framework management proposed.

Язык: Английский

---

Visualizing the Consistency of Clinical Characteristics that Distinguish Healthy Persons, Glaucoma Suspect Patients, and Manifest Glaucoma Patients

Ophthalmology Glaucoma, Год журнала: 2020, Номер 3(4), С. 274 - 287

Опубликована: Апрель 27, 2020

To use factor analysis to visualize and assess the reproducibility consistency of clinical quantitative parameters that can optimally distinguish among healthy, glaucoma suspect, manifest patients at a cross-sectional level thus describe transition change diagnostic categories.Retrospective study.The medical records (diagnosed by expert clinicians) seen Centre for Eye Health in 2015 (n = 148, n 664, 129, respectively) 2018 242, 464, 126, were reviewed. One eye was selected study.Quantitative measures (intraocular pressure [IOP], central corneal thickness [CCT], visual field [VF], OCT) extracted binary logistic (backward stepwise) regression performed identify factors dictated separation between pairs. These used systematically as inputs determine final model could potentially predict diagnosis.Intraocular pressure, CCT, VF (mean deviation pattern standard deviation) indices, OCT optic nerve head values (retinal fiber layer [RNFL] ganglion cell-inner plexiform layer).Few identified commonly significant across all pairings (3 23: IOP, deviation, 7-o'clock RNFL thickness) (1 vertical cup-to-disc ratio). Few overlapped when comparing results, highlighting inconsistencies models years. Factor showed good healthy persons patients. Using biplots data 2-dimensional clusters, suspect demonstrated substantial overlap with cohorts. The contributions each parameter changed groups years.Despite advances ocular imaging perimetry, remains confounded lack consistent, reproducible combinations criteria. results highlight nebulousness (at patient-, instrument-, clinician-related levels) diagnosis contingent on individual expertise assessment.

Язык: Английский

---

Derivation of human retinal cell densities using high‐density, spatially localized optical coherence tomography data from the human retina

The Journal of Comparative Neurology, Год журнала: 2023, Номер 531(11), С. 1108 - 1125

Опубликована: Апрель 19, 2023

Abstract This study sought to identify demographic variations in retinal thickness measurements from optical coherence tomography (OCT), enable the calculation of cell density parameters across neural layers healthy human macula. From macular OCTs ( n = 247), ganglion (GCL), inner nuclear (INL), and segment–outer segment (ISOS) layer were extracted using a customized high‐density grid. Variations with age, sex, ethnicity, refractive error assessed multiple linear regression analyses, age‐related distributions further hierarchical cluster analysis models. Models tested on naïve cohort 40) Mann–Whitney tests determine generalizability. Quantitative data calculated histological previous studies. Eccentricity‐dependent OCT closely resemble topographic maps Age was consistently identified as significantly impacting p .0006, .0007, .003 for GCL, INL ISOS), gender affecting ISOS only < .0001). Regression models demonstrated that changes GCL begin 30th decade ISOS. Model testing revealed significant differences .0008 .0001; however, fell within OCT's axial resolution. Qualitative comparisons show close alignment between densities when unique, high‐resolution data, correction demographics‐related variability. Overall, this describes process calculate vivo all retina, providing framework basic science clinical investigations.

Язык: Английский

---