Optička koherentna tomografija suznog meniska u dijagnostici suhog oka

master's thesis

• Title (english): Optical coherence tomography of tear meniscus in dry eye
• Author: Ivan Celovec
• Mentor: Igor Petriček (mentor)
• Committee member: Nenad Vukojević (predsjednik povjerenstva)
• Committee member: Miro Kalauz (član povjerenstva)
• Committee member: Igor Petriček (član povjerenstva)
• Granter: University of Zagreb; School of Medicine; Zagreb
• Defense date and country: 2019-09-11, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Clinical Medical Sciences; Ophthalmology

Abstract

Disfunkcija suznog filma ili bolest suhog oka (DED) je multifaktorijalna i česta bolest koja
rezultira simptomima nelagode i vidnim smetnjama s mogućim oštećenjem površine oka. Trenutno ne postoji test za dijagnozu i praćenje tijeka bolesti koji graduira i detektira intenzitet
stanja prihvatljivom senzibilnošću i specifičnošću. Testovi su u većini slučajeva neprecizni te
imaju nisku ponovljivost. Sadašnje metode dijagnosticiranja uključuju pregled na procjepnoj
svjetiljci, određivanje vremena pucanja suznog filma, procjena funkcije Meibomovih žlijezda,
procjena suznog meniska kao i najčešće Schirmerov test. Bez dijagnostičkog standarda kojim
bi se nadzirala bolest, liječenje bolesti suhog oka najčešće je simptomatsko, tj. bazira se na
dobro uzetoj anamnezi. Zbog svega navedenog, bolest suhog oka postaje rastući javnozdravstveni problem jer može značajno utjecati na vid osobe te dovesti do smanjenja kvalitete života.
Tema ovog diplomskog rada je bilo istraživanje u kojem smo koristili optičku koherentnu tomografiju suznog meniska kao metodu detekcije bolesti suhog oka. U istraživanje je bilo
uključeno 18 ispitanika, koji su ispunili OSDI anketni upitnik, pristupili oftalmološkom pregledu te snimanju suznog meniska optičkom koherentnom tomografijom.
U istraživanju je dokazana statistička povezanost ispitivanih varijabli- površine suznog meniska (p= 0,036), testa nativnog pucanja suznog filma (p= 0,030) i testa pucanja suznog filma
nakon ekspresije Meibomovih žlijezda (p= 0,028).

Abstract (english)

Tear film dysfunction or dry eye disease (DED) is a multifactorial and frequent disease that
results in symptoms of discomfort and visual disturbances resulting in possible damage to the
surface of the eye. Currently not fully standardized test for diagnosis and monitoring of disease flow. The tests are in most cases inaccurate and have low repeatability. Current methods
of diagnosing include examination on slit lamp, determination of the tear breakup time, evaluation of the function of the Meibomian glands, estimation of the tear meniscus as well as the
most common Schirmer test. Without a diagnostic standard to monitor the disease, treatment
of dry eye diseases is usually symptomatic, i.e. essentially on a well-taken medical history.
Because of all of the above, the disease of the dry eye becomes a growing public health problem because it can significantly affect the vision of a person and lead to a decrease in quality
of life.
Through this graduate thesis we conducted a study in which we used optical coherence tomography of tear meniscus as a method of detection of dry eye disease. The survey included 18
respondents, who fulfilled the OSDI questionnaire, accessed ophthalmological examination
and tear meniscus measurements with optical coherence tomography. The study demonstrated
the statistical correlation of the examined variables- tear meniscus surface area (P = 0.036),
the native tear break- up time (p = 0.030) and the tear break- up time after the expression of
the Meibomian glands (p = 0.028).

• Keywords: bolest suhog oka; dijagnostika suznog filma; optička koherentna tomografija; ocular surface disease index
• Keywords (english): dry eye disease; tear film diagnosis; optical coherence tomography; Ocular Surface Disease Inde
• Language: croatian
• URN:NBN: urn:nbn:hr:105:672905
• Study programme: Title: Studies in Nursing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra sestrinstva (magistar/magistra sestrinstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-03-09 13:38:51