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Deep stroma investigation by confocal microscopy

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Abstract:
Laser assisted keratoplasty is nowadays largely used to perform minimally invasive surgery and partial thickness keratoplasty [1-3]. The use of the femtosecond laser enables to perform a customized surgery, solving the specific problem of the single patient, designing new graft profiles and partial thickness keratoplasty (PTK). The common characteristics of the PTKs and that make them eligible respect to the standard penetrating keratoplasty, are: the preservation of eyeball integrity, a reduced risk of graft rejection, a controlled postoperative astigmatism. On the other hand, the optimal surgical results after these PTKs are related to a correct comprehension of the deep stroma layers morphology, which can help in the identification of the correct cleavage plane during surgeries. In the last years some studies were published, giving new insights about the posterior stroma morphology in adult subjects [4,5]. In this work we present a study performed on two groups of tissues: one group is from 20 adult subjects aged 59 +/- 18 y.o., and the other group is from 15 young subjects, aged 12 +/- 5 y.o.. The samples were from tissues not suitable for transplant in patients. Confocal microscopy and Environmental Scanning Electron Microscopy (ESEM) were used for the analysis of the deep stroma. The preliminary results of this analysis show the main differences in between young and adult tissues, enabling to improve the knowledge of the morphology and of the biomechanical properties of human cornea, in order to improve the surgical results in partial thickness keratoplasty.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
confocal microscopy; deep stroma; anterior lamellar keratoplasty; endothelial keratoplasty
Elenco autori:
Tatini, Francesca; Rossi, Francesca; Pini, Roberto
Autori di Ateneo:
ROSSI FRANCESCA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/312209
Pubblicato in:
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