Investigative Techniques Commons^™

Multi-Grader Validation Of The Telemedicine Retinopathy Of Prematurity Severity Score, Harrison W. Pratt, Sarthak V. Shah, Cindy S. Zhao, Arthur R. Brant, Caroline R. Baumal, Cagri G. Besirli, Audina M. Berrocal, Kimberley A. Drenser, Anna L. Ells, Clio Armitage Harper, G. Baker Hubbard, Eric D. Nudleman, Polly Quiram, Irena Tsui, Edward Wood, Yoshihiro Yonekawa, Tatiana Rosenblatt, Jochen Kumm, Darius M. Moshfeghi

Wills Eye Hospital Papers

We aimed to statefully validate Retinopathy of Prematurity (ROP) grading by evaluating intergrader variability over age-matched simulated exams. In a prospective retinal photographic grading cohort study, both eyes of twenty patients with five images per eye per visit were graded by twelve expert graders across six weekly visits. For each eye visit, ROP experts graded the Zone, Stage, and Plus, from which the Telemedicine ROP Severity Score (tROP-SS) was calculated. Graders retained knowledge of prior assessments for a given eye and followed International Classification of ROP rules. Intergrader coefficient of variation (CoV) for Zone, Stage, Plus, and tROP-SS remained below …

Concentric Macular Rings And Oct Corrugations In Foveal Hypoplasia: Proof Of Concept For An Optical Interference Mechanism, Ari August, Ralph Eagle, Tatyana Milman, Rebecca Procopio, Bruce Schnall, Jose Pulido

Wills Eye Hospital Papers

BACKGROUND: Concentric macular rings (CMR) and Henle fiber layer (HFL) corrugations, potential clinical biomarkers of foveal hypoplasia, have been observed in laser fundus photographs and optical coherence tomography (OCT) images, respectively. Some believe these findings represent true anatomical structural changes while others hypothesize that they are artifacts of interference; however, to our knowledge, no previous study has provided evidence to support either theory.

METHODS: This retrospective case series analyzed CMR and OCT corrugations in 3 patients (6 eyes) with foveal hypoplasia. Dark fringe diameters of CMR at different wavelengths (λ: red = 635, green = 532, blue = 488 nm) …

Non-Invasive Detection Of Choroidal Melanoma Via Tear-Derived Protein Corona On Gold Nanoparticles: A Machine Learning Approach, Hakimeh Rakhshandeh, Ahmad Nasiraei, Hamid Riazi-Esfahani, Babak Masoomian, Fariba Ghassemi, Mojtaba Arjmand, Saeed Heidari Keshel, Fatemeh Atyabi, Rassoul Dinarvand

Wills Eye Hospital Papers

This study investigates the feasibility of using tear sample analysis, based on protein corona formation on gold nanoparticles combined with electrospray ionization mass spectrometry (ESI-MS) and machine learning techniques, as a non-invasive approach for the detection of choroidal melanoma. The aim is to assess whether protein-nanoparticle interactions can support early and reliable identification of this ocular condition. Tear samples were collected using Schirmer strips from six healthy individuals and six patients diagnosed with choroidal melanoma, with subsequent augmentation to 18 samples per group. Gold nanoparticles (AuNPs, ~ 20 nm) were synthesized via citrate reduction and incubated with tear samples to …

Long-Term Non-Conditional And Conditional Metastasis Of Uveal Melanoma By Tumor Size Category In 8034 Patients, Rolika Bansal, Hidayet Sener, Jerry A. Shields, Carol L. Shields

Wills Eye Hospital Papers

PURPOSE: To estimate metastasis of patients with uveal melanoma (UM) based on tumor size categories classified by ultrasonographic thickness as small (0.0-3.0 mm), medium (3.1-8.0 mm), or large (≥8.1 mm) using both non-conditional and conditional analyses.

DESIGN: Retrospective analysis.

METHODS: A retrospective study of 8034 cases over 35-years at a single ocular oncology referral center evaluated the primary endpoint of cumulative incidence of metastasis at 5-, 10-, 15-, 20-, 25- and 30-years using non-conditional and conditional analysis at 3-years, 5-years, and 10-years of metastasis-free survival.

RESULTS: The mean thicknesses for small, medium, and large UMs were 2.5 mm, 5.0 mm, …

Normative Variability In Retinal Nerve Fiber Layer Thickness: Does It Matter Where The Peaks Are?, Sowjanya Gowrisankaran, Ashkan Abbasi, Xubo Song, Joel Schuman, Gadi Wollstein, Bhavna Antony, Hiroshi Ishikawa

Wills Eye Hospital Papers

PURPOSE: Retinal nerve fiber layer thickness (RNFLT), a glaucoma biomarker, has a wide normative range affecting its sensitivity and specificity for abnormality detection. The interindividual RNFLT peak location variability contribution to this wide normative range has not been directly evaluated. The purpose of this study is to assess the effect of RNFLT peak normalization (PN) on normative variability.

METHODS: Circumpapillary RNFLT profiles at 1.7 mm radius from the optic nerve head (ONH) were re-sampled from optical coherence tomography (OCT) volumes (Cirrus HD-OCT, 200 × 200) obtained from one eye of 83 healthy individuals. Fovea-ONH axis (FOA) was calculated from corresponding …

Expansion Of Genotypic And Phenotypic Findings In Adamts18-Related Ocular Pathology, Ari August, Rebecca Procopio, Christopher Rapuano, Jose Pulido

Wills Eye Hospital Papers

Purpose: ADAMTS18-related ocular pathology is rare with few described cases. Features include distinctive facies, refractive error, anterior segment dysgenesis, and retinal dystrophy. Previous patients were found to have ho- mozygous variants in ADAMTS18. Here, we present a patient with compound heterozygous ADAMTS18-related pathology and its associated findings. Observations: A 37-year-old male with a history of bilateral congenital nasolacrimal duct obstruction, dry eye syndrome, mild myopia, and accommodative esotropia presented to the Retina Service. He was found to have multiple features of anterior segment dysgenesis and retinal dystrophy, some of which have not been previously reported in association with ADAMTS18 variants. …

High Prevalence Of Artifacts In Optical Coherence Tomography With Adequate Signal Strength, Wei-Chun Lin, Aaron Coyner, Charles Amankwa, Abigail Lucero, Gadi Wollstein, Joel Schuman, Hiroshi Ishikawa

Wills Eye Hospital Papers

PURPOSE: This study aims to investigate the prevalence of artifacts in optical coherence tomography (OCT) images with acceptable signal strength and evaluate the performance of supervised deep learning models in improving OCT image quality assessment.

METHODS: We conducted a retrospective study on 4555 OCT images from 546 patients, with each image having an acceptable signal strength (≥6). A comprehensive analysis of prevalent OCT artifacts was performed, and five pretrained convolutional neural network models were trained and tested to infer images based on quality.

RESULTS: Our results showed a high prevalence of artifacts in OCT images with acceptable signal strength. Approximately …

Deep-Learning-Based Group Pointwise Spatial Mapping Of Structure To Function In Glaucoma, Zhiqi Chen, Hiroshi Ishikawa, Yao Wang, Gadi Wollstein, Joel Schuman

Wills Eye Hospital Papers

PURPOSE: To establish generalizable pointwise spatial relationship between structure and function through occlusion analysis of a deep-learning (DL) model for predicting the visual field (VF) sensitivities from 3-dimensional (3D) OCT scan.

DESIGN: Retrospective cross-sectional study.

PARTICIPANTS: A total of 2151 eyes from 1129 patients.

METHODS: A DL model was trained to predict 52 VF sensitivities of 24-2 standard automated perimetry from 3D spectral-domain OCT images of the optic nerve head (ONH) with 12 915 OCT-VF pairs. Using occlusion analysis, the contribution of each individual cube covering a 240 × 240 × 31.25 μm region of the ONH to the model's …