Comparison of pleural lesions using vibrational spectroscopy

doctoral thesis

• Author: Fatlinda Sadiku Zehri
• Mentor: Sven Seiwerth (mentor)
• Mentor: Ozren Gamulin (komentor)
• Committee member: Marko Jakopović (predsjednik povjerenstva)
• Committee member: Lovorka Batelja Vuletić (član povjerenstva)
• Committee member: Sanja Dolanski-Babić (član povjerenstva)
• Granter: University of Zagreb; School of Medicine; Zagreb
• Defense date and country: 2020-12-07, 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: Spectroscopy; Diagnosis; Biopsy; Laboratories; Mesothelioma; Cytodiagnosis
• Keywords (croatian): Spektroskopija; Dijagnoza; Biopsija; Laboratoriji; Mezoteliom; Citodijagnostika
• Language: english
• URN:NBN: urn:nbn:hr:105:729305
• Study programme: Title: 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 URL: https://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 resource: Text
• Extent: 76 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-04-12 08:42:47