Show simple item record

dc.contributor.authorChuangsuwanich, Thanadet
dc.contributor.authorNongpiur, Monisha E
dc.contributor.authorBraeu, Fabian A
dc.contributor.authorPrasad, Shimna Clara
dc.contributor.authorTun, Tin A
dc.contributor.authorThiéry, Alexandre
dc.contributor.authorPerera, Shamira
dc.contributor.authorHo, Ching Lin
dc.contributor.authorBuist, Martin
dc.contributor.authorBarbastathis, George
dc.contributor.authorAung, Tin
dc.contributor.authorGirard, Michaël JA
dc.date.accessioned2026-04-16T14:52:13Z
dc.date.available2026-04-16T14:52:13Z
dc.date.issued2026-02-11
dc.identifier.urihttps://hdl.handle.net/1721.1/165464
dc.description.abstractPurpose: The purposes of this study were to assess whether optic nerve head (ONH) biomechanics, quantified by tissue strain, improves classification of progressive visual field (VF) loss patterns in glaucoma beyond morphology, and to use saliency maps to identify ONH regions associated with the predictions. Methods: We recruited 249 patients with glaucoma (mean age 69 ± 5 years, 54% female patients). One eye per subject was imaged under (1) primary gaze and (2) primary gaze with IOP elevated to approximately 35 millimeters of mercury (mm Hg) via ophthalmo-dynamometry. Twelve subjects were excluded due to poor scan quality/limited lamina cribrosa (LC) visibility. Experts classified subjects into four categories based on the presence of specific visual field defects (VFDs): (1) superior nasal step (N = 26), (2) superior partial arcuate (N = 62), (3) full superior hemifield defect (N = 25), and (4) other/non-specific defects (N = 124). Automatic segmentation and digital volume correlation computed neural tissue and LC strains. Biomechanical and structural features were input to a PointNet model. Three classification tasks were performed to detect: (1) superior nasal step, (2) superior partial arcuate, and (3) full superior hemifield defect. Data were split 80/20 (train/test). Area under the curve (AUC) assessed performance. Saliency maps (an explainable artificial intelligence [XAI] technique) highlighted ONH regions most critical to classification. Results: Models achieved AUCs of 0.77 to 0.88 across VFD classifications. The structure-only model reached an AUC of 0.83 ± 0.02 for superior arcuate defects, which significantly improved to 0.87 ± 0.02 (P < 0.05) with the addition of strain information, demonstrating that ONH biomechanics enhance prediction beyond morphology. Strain-sensitive regions were localized to the inferior and inferotemporal rim, expanding with increasing severity of VF loss. Conclusions: ONH strain enhances classification of glaucomatous VF loss patterns. The neuroretinal rim, rather than the LC, was most critical, suggesting rim strain may play a dominant role in axonal injury and functional loss.en_US
dc.language.isoen
dc.publisherAssociation for Research in Vision and Ophthalmology (ARVO)en_US
dc.relation.isversionofhttps://doi.org/10.1167/iovs.67.2.29en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivativesen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceAssociation for Research in Vision and Ophthalmology (ARVO)en_US
dc.titleAI to Identify Strain-Sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucomaen_US
dc.typeArticleen_US
dc.identifier.citationThanadet Chuangsuwanich, Monisha E. Nongpiur, Fabian A. Braeu, Shimna Clara Prasad, Tin A. Tun, Alexandre Thiéry, Shamira Perera, Ching Lin Ho, Martin Buist, George Barbastathis, Tin Aung, Michaël J. A. Girard; AI to Identify Strain-Sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma. Invest. Ophthalmol. Vis. Sci. 2026;67(2):29.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalInvestigative Ophthalmology & Visual Scienceen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2026-04-16T14:46:48Z
dspace.orderedauthorsChuangsuwanich, T; Nongpiur, ME; Braeu, FA; Prasad, SC; Tun, TA; Thiéry, A; Perera, S; Ho, CL; Buist, M; Barbastathis, G; Aung, T; Girard, MJAen_US
dspace.date.submission2026-04-16T14:46:50Z
mit.journal.volume67en_US
mit.journal.issue2en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record