Three-Dimensional Structural Phenotype of the Optic Nerve Head as a Function of Glaucoma Severity.


Journal

JAMA ophthalmology
ISSN: 2168-6173
Titre abrégé: JAMA Ophthalmol
Pays: United States
ID NLM: 101589539

Informations de publication

Date de publication:
01 09 2023
Historique:
pmc-release: 17 08 2024
medline: 22 9 2023
pubmed: 17 8 2023
entrez: 17 8 2023
Statut: ppublish

Résumé

The 3-dimensional (3-D) structural phenotype of glaucoma as a function of severity was thoroughly described and analyzed, enhancing understanding of its intricate pathology beyond current clinical knowledge. To describe the 3-D structural differences in both connective and neural tissues of the optic nerve head (ONH) between different glaucoma stages using traditional and artificial intelligence-driven approaches. This cross-sectional, clinic-based study recruited 541 Chinese individuals receiving standard clinical care at Singapore National Eye Centre, Singapore, and 112 White participants of a prospective observational study at Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania. The study was conducted from May 2022 to January 2023. All participants had their ONH imaged using spectral-domain optical coherence tomography and had their visual field assessed by standard automated perimetry. (1) Clinician-defined 3-D structural parameters of the ONH and (2) 3-D structural landmarks identified by geometric deep learning that differentiated ONHs among 4 groups: no glaucoma, mild glaucoma (mean deviation [MD], ≥-6.00 dB), moderate glaucoma (MD, -6.01 to -12.00 dB), and advanced glaucoma (MD, <-12.00 dB). Study participants included 213 individuals without glaucoma (mean age, 63.4 years; 95% CI, 62.5-64.3 years; 126 females [59.2%]; 213 Chinese [100%] and 0 White individuals), 204 with mild glaucoma (mean age, 66.9 years; 95% CI, 66.0-67.8 years; 91 females [44.6%]; 178 Chinese [87.3%] and 26 White [12.7%] individuals), 118 with moderate glaucoma (mean age, 68.1 years; 95% CI, 66.8-69.4 years; 49 females [41.5%]; 97 Chinese [82.2%] and 21 White [17.8%] individuals), and 118 with advanced glaucoma (mean age, 68.5 years; 95% CI, 67.1-69.9 years; 43 females [36.4%]; 53 Chinese [44.9%] and 65 White [55.1%] individuals). The majority of ONH structural differences occurred in the early glaucoma stage, followed by a plateau effect in the later stages. Using a deep neural network, 3-D ONH structural differences were found to be present in both neural and connective tissues. Specifically, a mean of 57.4% (95% CI, 54.9%-59.9%, for no to mild glaucoma), 38.7% (95% CI, 36.9%-40.5%, for mild to moderate glaucoma), and 53.1 (95% CI, 50.8%-55.4%, for moderate to advanced glaucoma) of ONH landmarks that showed major structural differences were located in neural tissues with the remaining located in connective tissues. This study uncovered complex 3-D structural differences of the ONH in both neural and connective tissues as a function of glaucoma severity. Future longitudinal studies should seek to establish a connection between specific 3-D ONH structural changes and fast visual field deterioration and aim to improve the early detection of patients with rapid visual field loss in routine clinical care.

Identifiants

pubmed: 37589980
pii: 2808416
doi: 10.1001/jamaophthalmol.2023.3315
pmc: PMC10436184
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

882-889

Commentaires et corrections

Type : CommentIn

Auteurs

Fabian A Braeu (FA)

Ophthalmic Engineering & Innovation Laboratory, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Singapore-MIT Alliance for Research and Technology, Singapore.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Thanadet Chuangsuwanich (T)

Ophthalmic Engineering & Innovation Laboratory, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Tin A Tun (TA)

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Duke-NUS Graduate Medical School, Singapore.

Shamira A Perera (SA)

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Duke-NUS Graduate Medical School, Singapore.

Rahat Husain (R)

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.

Aiste Kadziauskiene (A)

Clinic of Ears, Nose, Throat and Eye Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Center of Eye Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.

Leopold Schmetterer (L)

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Duke-NUS Graduate Medical School, Singapore.
SERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore.
Department of Clinical Pharmacology, Medical University of Vienna, Austria.
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria.
Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland.

Alexandre H Thiéry (AH)

Department of Statistics and Applied Probability, National University of Singapore, Singapore.

George Barbastathis (G)

Singapore-MIT Alliance for Research and Technology, Singapore.
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge.

Tin Aung (T)

Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Duke-NUS Graduate Medical School, Singapore.

Michaël J A Girard (MJA)

Ophthalmic Engineering & Innovation Laboratory, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Duke-NUS Graduate Medical School, Singapore.
Institute of Molecular and Clinical Ophthalmology, Basel, Switzerland.

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