JOURNAL ARTICLE

Chemical Engineering View on the Silicone Oil Utilization in the Treatment of Retinal Detachment.

  • Published In: ChemBioEng Reviews, 2024, v. 11, n. 6. P. 1 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Reháčková, Monika; Veith, Miroslav; Stavárek, Petr; Zedniková, Maria; Orvalho, Sandra; Pěnkavová, Věra; Jaklová, Natalie; Maliková, Sara; Klusoň, Petr 3 of 3

Abstract

Retinal detachment is an acute condition in ophthalmology that needs an immediate surgical management. The treatment requires a replacement of the vitreous with a temporary substitute, usually based on a silicone oil. A certain number of patients experience adverse events during the treatment. It seems this phenomenon is related to the formation of emulsions in the affected eye. These appear macroscopically as heterogeneities resembling small droplets with a patchy occurrence in the vitreous substitute. Their existence represents a major complication that may lead to loss of vision. The heterogeneities are transported to regions of the eye in which they cause irreversible damage. The current state of knowledge describes the phenomenon and recommends certain intervention procedures. Here, specific attention is paid to the chemical engineering aspects of the utilization of silicone oils for the treatment of the retinal detachment. It is very likely that the process of tiny droplet formation leading to the development of emulsions is substantially controlled by the hydrodynamic conditions in the eye. The complexity of this statement is examined in this review text. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:ChemBioEng Reviews. 2024/12, Vol. 11, Issue 6, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:21969744
  • DOI:10.1002/cben.202400090
  • Accession Number:181731200
  • Copyright Statement:Copyright of ChemBioEng Reviews is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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