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DOI 10.1167/iovs.64.11.31

Медицинская библиотека · Investigative ophthalmology & visual science · 2023

Estimation of Crystalline Lens Material Properties From Patient Accommodation Data and Finite Element Models.

de la Hoz Andres, Martinez-Enriquez Eduardo, Marcos Susana

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

PURPOSE: The mechanical properties of the crystalline lens are related to its optical function of accommodation, and their changes with age are one of the potential causes for presbyopia. We estimated the mechanical parameters of the crystalline lens using quantitative optical coherence tomography (OCT) imaging and wavefront sensing data from accommodating participants and computer modeling.

METHODS

Full-lens shape data (from quantitative swept-source OCT and eigenlens representation) and optical power data (from Hartmann-Shack wavefront sensor) were obtained from 11 participants (22-30 years old) for relaxed accommodation at infinity and -4.5 D accommodative demand. Finite element models of lens, capsular bag, zonulae, and ciliary body were constructed using measured lens geometry and literature data, assuming a 60-mN radial force. An inverse modeling scheme was used to determine the shear moduli of the nucleus and cortex of the lens, such that the simulated deformed (maximally stretched) lens matched the participant's lens at -4.5 D.

RESULTS

The shear moduli of the nucleus and cortex were 1.62 ± 1.32 and 8.18 ± 5.63 kPa, on average, respectively. The shear modulus of the nucleus was lower than that of the cortex for all participants evaluated. The average of the two moduli per participant was statistically significantly correlated with age (R2 = 0.76, P = 0.0049).

CONCLUSIONS

In vivo imaging and mechanical modeling of the crystalline lens allow estimations of the crystalline lens' mechanical properties. Differences between nuclear and cortical moduli and their dependency with age appear to be critical in accommodative function and likely in its impairment in presbyopia.

Для цитирования: de la Hoz Andres, Martinez-Enriquez Eduardo, Marcos Susana. Estimation of Crystalline Lens Material Properties From Patient Accommodation Data and Finite Element Models.. Investigative ophthalmology & visual science. 2023. DOI: 10.1167/iovs.64.11.31.

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