2014
DOI: 10.1016/j.mbs.2014.06.008
|View full text |Cite
|
Sign up to set email alerts
|

Computational modeling of drug distribution in the posterior segment of the eye: Effects of device variables and positions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
25
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 39 publications
(25 citation statements)
references
References 30 publications
0
25
0
Order By: Relevance
“…Computational modeling of the eye has also been used to evaluate drug distribution within the vitreous of animals and humans after injection or release by implants, and to develop vitreous diffusion IVIVCs . The need to understand how a drug is distributed within the vitreous to access the retina has been a key driver for many of the studies focused on drug distribution within the posterior segment.…”
Section: Resultsmentioning
confidence: 99%
“…Computational modeling of the eye has also been used to evaluate drug distribution within the vitreous of animals and humans after injection or release by implants, and to develop vitreous diffusion IVIVCs . The need to understand how a drug is distributed within the vitreous to access the retina has been a key driver for many of the studies focused on drug distribution within the posterior segment.…”
Section: Resultsmentioning
confidence: 99%
“…Drugs for IVT undergo preclinical and clinical development before marketing approval. While some guidelines exist, the exact details of needle depth, size, and angle, injection time (injection speed with outlet velocities) and other variables can significantly differ [16,17]. For example, the location of an intravitreal injection has a direct influence on drug distribution and elimination in the vitreous [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Computational modeling can also provide information about drug distribution within the vitreous of animals and humans after injection or release by implants [122,123,124]. However, these mathematical models are limited, as they neither consider nor discuss the stability and interactions of proteins/excipients with the vitreous humor components.…”
Section: In Vitro and In Silico Models To Test Intraocular Ddsmentioning
confidence: 99%