Structural features of the vitreous body in asteroid hyalosis

S.I. Kharlap

Research Institute of Eye Diseases

A.R. Salikhova

Research Institute of Eye Diseases

N.V. Miroshnik

Research Institute of Eye Diseases

I.A. Novikov

Krasnov Research Institute of Eye Diseases

ORCID: 0000-0003-4898-4662

S.E. Avetisov

Krasnov Research Institute of Eye Disease;
I.M. Sechenov First Moscow State Medical University (Sechenov University)

ORCID: 0000-0001-7115-4275

Structural features of the vitreous body in asteroid hyalosis

Authors:

S.I. Kharlap, A.R. Salikhova, N.V. Miroshnik, I.A. Novikov, S.E. Avetisov

More about the authors

Journal: Russian Annals of Ophthalmology. 2020;136(4): 26‑36

DOI: 10.17116/oftalma202013604126

Downloaded: 40

To cite this article:

Kharlap SI, Salikhova AR, Miroshnik NV, Novikov IA, Avetisov SE. Structural features of the vitreous body in asteroid hyalosis. Russian Annals of Ophthalmology. 2020;136(4):26‑36. (In Russ., In Engl.)
https://doi.org/10.17116/oftalma202013604126

Доказательная гастроэнтерология: pro et contra

Актуальные вопросы педиатрической практики

Использование инфографики авторами научных работ

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PURPOSE

To analyze intravital structure of the vitreous body in asteroid hyalosis using digital ultrasound imaging.

MATERIAL AND METHODS

The study included 64 patients (128 eyes) aged 62 to 73 years with opacities in the vitreous body characterized as asteroid hyalosis.

RESULTS

The macrostructure of the vitreous body was evaluated based on the results of digital ultrasound imaging. The analysis covered various types of ultrasound images of the inner projection of the eye and the vitreous cavity. The study demonstrates the possibility of in vivo evaluation of the integrity of vitreous tracts, and the vitreous body as a whole.

CONCLUSION

Ocular ultrasound images of patients with asteroid hyalosis acquired in vivo were used to evaluate the macrostructure of the vitreous body and determine the features of spatial defects.

Keywords:

vitreous body

asteroid hyalosis

digital ultrasound imaging

virtual diagnostic model

Authors:

S.I. Kharlap

Research Institute of Eye Diseases

A.R. Salikhova

Research Institute of Eye Diseases

N.V. Miroshnik

Research Institute of Eye Diseases

I.A. Novikov

Krasnov Research Institute of Eye Diseases

ORCID: 0000-0003-4898-4662

S.E. Avetisov

Krasnov Research Institute of Eye Disease;
I.M. Sechenov First Moscow State Medical University (Sechenov University)

ORCID: 0000-0001-7115-4275

Received:

26.07.2019

Accepted:

18.12.2019

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