Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy

Znanstveni rad - Izvorni znanstveni rad

• Autor: Fatlinda Sadiku-Zehri
• Autor: Ozren Gamulin
• Autor: Marko Škrabić
• Autor: Ardita Qerimi-Krasniqi
• Autor: Filip Sedlić
• Autor: Ana Šepac
• Autor: Luka Brčić
• Autor: Lovorka Batelja Vuletić
• Autor: Sven Seiwerth
• Autorova ustanova: Sveučilište u Zagrebu; Medicinski fakultet; (KATEDRA ZA FIZIKU, BIOFIZIKU I MEDICINSKU FIZIKU)
• Autorova ustanova: Sveučilište u Zagrebu; Medicinski fakultet; (KATEDRA ZA PATOLOGIJU)
• Znanstveno / umjetničko područje, polje i grana: BIOMEDICINA I ZDRAVSTVO; Kliničke medicinske znanosti; Patologija

Sažetak (engleski)

Histopathology, despite being the gold standard as a diagnostic tool, does not always provide a correct diagnosis for different pleural lesions. Although great progress was made in this field, the problem to differentiate between reactive and malignant pleural lesions still stimulates the search for additional diagnostic tools. Our research using vibrational spectroscopy and principal component analysis (PCA) statistical modeling represents a potentially useful tool to approach the problem. The objective method this paper explores is based on the correlation between different types of pleural lesions and their vibrational spectra. Obtained tissue spectra recorded by infrared spectroscopy allowed us to categorize spectra in different groups using a created PCA statistical model. The PCA model was built using tissues of known pathology as the model group. The validation samples were then used to confirm the functionality of our PCA model. Student’s t-test was also used for comparing samples in paired groups. The PCA model was able to clearly differentiate the spectra of mesothelioma, metastasis and reactive changes (inflammation), and place them in discrete groups. Thus, we showed that Fourier transform infrared spectroscopy combined with PCA can differentiate pleural lesions with high sensitivity and specificity. This new approach could contribute in objectively differentiating specific pleural lesions, thus helping pathologists to better diagnose difficult pleural samples but also could shed additional light into the biology of malignant pleural mesothelioma.

• Ključne riječi (engleski): Adenocarcinoma of Lung / diagnostic imaging; Humans; Inflammation / diagnostic imaging; Mesothelioma, Malignant / diagnostic imaging; Pleura / diagnostic imaging; Pleura / pathology; Spectroscopy, Fourier Transform Infrared
• Jezik: engleski
• Vrsta publikacije: Znanstveni rad - Izvorni znanstveni rad
• Status objave: Objavljen
• Vrsta recenzije: Recenziran
• Verzija publikacije: Završna verzija rukopisa prihvaćena za objavljivanje (postprint)
• Naslov časopisa: Applied Spectroscopy
• Brojčani podaci: vol. 74, br. 7, str. 808-818
• p-ISSN: 0003-7028
• e-ISSN: 1943-3530
• DOI: https://doi.org/10.1177/0003702820924726
• URN:NBN: urn:nbn:hr:105:716955
• Datum objave publikacije: 2020-07
• URL dokumenta: http://journals.sagepub.com/doi/10.1177/0003702820924726
• Vrsta resursa: Tekst
• Prava pristupa: Otvoreni pristup
• Datum i vrijeme pohrane: 2021-04-21 13:08:24