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Biomechanics-Function in Glaucoma: Improved Visual Field Predictions from IOP-Induced Neural Strains.

Am J Ophthalmol

December 2024

Ophthalmic Engineering & Innovation Laboratory (T.C., F.A.B., M.J.A.G.), Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore; Duke-NUS Medical School (M.E.N., F.A.B., T.A.T., S.P.,. C.L.H., T.A., M.J.A.G.), Singapore, Singapore; Singapore Eye Research Institute (T.C., M.E.N., F.A.B., T.A.T., T.A., M.J.A.G.), Singapore National Eye Centre, Singapore, Singapore; Department of Ophthalmology (T.C., M.J.A.G.), Emory University School of Medicine, Atlanta, Georgia USA; Department of Biomedical Engineering (M.J.A.G), Georgia Institute of Technology/Emory University, Atlanta, Georgia, USA; Emory Empathetic AI for Health Institute (M.J.A.G), Emory University, Atlanta, Georgia, USA. Electronic address:

Article Synopsis
  • The study aimed to determine if the structure and biomechanics of neural tissue can predict functional loss in glaucoma and to assess the role of biomechanics in improving prediction accuracy.
  • Researchers gathered data from 238 glaucoma patients over 50 years old, using advanced imaging techniques to analyze the optic nerve head under different pressure conditions.
  • Results showed that incorporating biomechanical data significantly improved prediction performance (F1-score: 0.76) compared to using only structural information (F1-score: 0.71), highlighting the importance of biomechanics in assessing glaucoma severity.*
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Purpose: To compare the results of retinal venous pressure (RVP) measurement performed with contact lens dynamometry (CLD) and with the new IOPstim.

Methods: In this cross-sectional study, we included 36 patients with primary open angle glaucoma with a median age (Q25; Q75) of 74 (64; 77) years (m/f = 18/18), baseline intraocular pressure (IOP): 13.9 (12.

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Purpose: To compare the retinal vascular pulsatile characteristics in subjects with normal (ICPn) and high (ICPh) intracranial pressure and quantify the interactions between intraocular pressure, intracranial pressure, and retinal vascular pulse amplitude in the Fourier domain.

Materials And Methods: Twenty-one subjects were examined using modified photoplethysmography with simultaneous ophthalmodynamometry. A harmonic regression model was fitted to each pixel in the time-series, and used to quantify the retinal vascular pulse wave parameters including the harmonic regression wave amplitude (HRWa).

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Retinal vein changes, which can be observed on clinical exam or ophthalmic imaging, are promising non-invasive biomarkers for elevated intracranial pressure (ICP) as a complement to other markers of high ICP including optic nerve head swelling. Animal and human studies have demonstrated increase in retinal vein pressure associated with elevated ICP mediated by increase in cerebral venous pressure, compression of venous outflow by elevated cerebral spinal fluid pressure in the optic nerve sheath, and compression of venous outflow by optic nerve head swelling. Retinal vein pressure can be estimated using ophthalmodynamometry.

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Pulse wave attenuation characteristics reflect compliance and resistance properties of the vessel wall as well as initial pulse generation factors. Recently, it has become possible to measure and map the retinal vessel wall pulse wave amplitudes. Predictable pulse wave amplitude distribution may allow inferences to be made concerning vascular compliance and resistance.

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