prikaz prve stranice dokumenta Comparison of pleural lesions using vibrational spectroscopy
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doctoral thesis
Comparison of pleural lesions using vibrational spectroscopy
Zagreb: University of Zagreb, School of Medicine, 2020. urn:nbn:hr:105:729305
Sadiku Zehri, Fatlinda
University of Zagreb
School of Medicine

Institutional repository: Dr Med - University of Zagreb School of Medicine Digital Repository

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Sadiku Zehri, F. (2020). Comparison of pleural lesions using vibrational spectroscopy (Doctoral thesis). Zagreb: University of Zagreb, School of Medicine. Retrieved from https://urn.nsk.hr/urn:nbn:hr:105:729305

Sadiku Zehri, Fatlinda. "Comparison of pleural lesions using vibrational spectroscopy." Doctoral thesis, University of Zagreb, School of Medicine, 2020. https://urn.nsk.hr/urn:nbn:hr:105:729305

Sadiku Zehri, Fatlinda. "Comparison of pleural lesions using vibrational spectroscopy." Doctoral thesis, University of Zagreb, School of Medicine, 2020. https://urn.nsk.hr/urn:nbn:hr:105:729305

Sadiku Zehri, F. (2020). 'Comparison of pleural lesions using vibrational spectroscopy', Doctoral thesis, University of Zagreb, School of Medicine, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:105:729305

Sadiku Zehri F. Comparison of pleural lesions using vibrational spectroscopy [Doctoral thesis]. Zagreb: University of Zagreb, School of Medicine; 2020 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:105:729305

F. Sadiku Zehri, "Comparison of pleural lesions using vibrational spectroscopy", Doctoral thesis, University of Zagreb, School of Medicine, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:105:729305

Metadata
TitleComparison of pleural lesions using vibrational spectroscopy
Title (english)Comparison of pleural lesions using vibrational spectroscopy
AuthorFatlinda Sadiku Zehri
MentorSven Seiwerth (mentor)
MentorOzren Gamulin (komentor)
Committee memberMarko Jakopović (predsjednik povjerenstva)
Committee memberLovorka Batelja Vuletić (član povjerenstva)
Committee memberSanja Dolanski-Babić (član povjerenstva)
GranterUniversity of Zagreb
School of Medicine
Zagreb
Defense date and country2020-12-07, Croatia
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Pathology
Universal decimal classification
(UDC)		616 - Pathology. Clinical medicine
Abstract
Histopathology does not always easily provide a correct diagnosis for different pleural lesions. Although great progress was made in this field, the issue of differentiating between reactive and malignant pleural lesions still stimulates the search for additional diagnostic tools. This research, using vibrational spectroscopy and PCA statistical modeling, represents a potentially useful tool to approach the problem. The objective method this research explores is based on the correlation between different types of pleural lesions and their vibrational spectra. Obtained tissue spectra recorded by infrared spectroscopy allowed categorizing spectra in different groups using a created PCA model. The model was built using tissues of known pathology as the model group. The validation samples were used to confirm the functionality of our PCA statistical model. Students T- test was also used for comparing samples in paired groups. The PCA statistical model was able to clearly differentiate the spectra of mesothelioma, metastasis and reactive changes, and place them in discrete groups. FTIR spectroscopy combined with PCA model can differentiate pleural lesions with high sensitivity and specificity. This new approach could contribute in objectively differentiating specific pleural lesions, thus helping pathologists to diagnose difficult pleural samples but also shed additional light into the biology of mesothelioma.
Abstract (croatian)
Histopatologija ne može uvijek lako postaviti točnu dijagnozu različitih pleuralnih lezija. Iako je postignut veliki napredak na ovom polju, problem pri razlikovanju između reaktivnih i malignih pleularnih lezija još uvijek potiče na istraživanja za dodatnim dijagnostičkim metodama. Ovo istraživanje, koristeći vibracijsku spektroskopiju i PCA statistički model, predstavlja potencijalno koristan alat za pristup ovom problemu. Objektivna metoda koju ovo istraživanje proučava, temelji se na usporedbi između različitih vrsta pleuralnih lezija i njihovih vibracijskih spektara. Dobiveni tkivni spektri snimani su infracrvenom spektroskopijom koja omogućava kategoriziranje spektra u različite grupe koristeći stvoren PCA model. Model je stvoren koristeći tkiva poznate patologije kao grupe modela. Validacijski uzorci su korišteni za potvrđivanje funkcionalnosti našeg PCA statističkog modela. T- test je također korišten za usporedbu uzoraka u sparenim grupama. PCA statistički model je omogućio da se jasno razlikuju spektri između mezotelioma, metastaza i reaktivnih promjena i svrsta ih se u različite grupe. FTIR spektroskopija u kombinaciji s PCA modelom može razlikovati pleuralne lezije s visokom senzitivnošću i specifičnošću. Ovaj novi pristup može doprinjeti u objektivnom razlikovanju različitih pleuralnih lezija i tako pomoći patologu pri dijagnostičkim dvojbama kod postavljanja dijagnoza na pleuralnih uzorcima ali također baca dodatno svjetlo na biologiju mezotelioma.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:105:729305
Study programmeTitle: Biomedicine and Health Sciences
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje biomedicine i zdravstvo (doktor/doktorica znanosti, područje biomedicine i zdravstvo)
Catalog URLhttps://katalog.nsk.hr/F/19IT7Y755V1NXQJPHCLYSQGPF6BLAPPF179HQ7FAXXMYBYGMV5-19900?func=find-e&request=Comparison+of+pleural+lesions+using+vibrational+spectroscopy&find_scan_code=FIND_NAS&adjacent=N&local_base=MF_WEB&x=0&y=0&filter_code_1=WLN&filter_request_1=&filter_code_2=WYR&filter_request_2=&filter_code_3=WYR&filter_request_3=&filter_code_4=WFM&filter_request_4=
Type of resourceText
Extent76 str.
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-04-12 08:42:47