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Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy
Applied Spectroscopy, 74 (2020), 7; 808-818. https://doi.org/10.1177/0003702820924726
Sadiku-Zehri, Fatlinda; Gamulin, Ozren; Škrabić, Marko; Qerimi-Krasniqi, Ardita; Sedlić, Filip; Šepac, Ana; Brčić, Luka; Batelja Vuletić, Lovorka; Seiwerth, Sven

Institucijski repozitorij: Dr Med - digitalni repozitorij Medicinskog fakulteta Sveučilišta u Zagrebu

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Sadiku Zehri, F., Gamulin, O., Škrabić, M., Qerimi Krasniqi, A., Sedlić, F., Šepac, A. ... Seiwerth, S. (2020). Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy. Applied Spectroscopy, 74. (7), 808-818. doi: 10.1177/0003702820924726

Sadiku Zehri, Fatlinda, et al. "Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy." Applied Spectroscopy, vol. 74, br. 7, 2020, str. 808-818. https://doi.org/10.1177/0003702820924726

Sadiku Zehri, Fatlinda, Ozren Gamulin, Marko Škrabić, Ardita Qerimi Krasniqi, Filip Sedlić, Ana Šepac, Luka Brčić, Lovorka Batelja Vuletić i Sven Seiwerth. "Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy." Applied Spectroscopy 74, br. 7 (2020): 808-818. https://doi.org/10.1177/0003702820924726

Sadiku Zehri, F., et al. (2020) 'Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy', Applied Spectroscopy, 74(7), str. 808-818. doi: 10.1177/0003702820924726

Sadiku Zehri F, Gamulin O, Škrabić M, Qerimi Krasniqi A, Sedlić F, Šepac A, i sur.. Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy. Applied Spectroscopy [Internet]. 07.2020. [pristupljeno 30.12.2024.];74(7):808-818. doi: 10.1177/0003702820924726

F. Sadiku Zehri, et al., "Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy", Applied Spectroscopy, vol. 74, br. 7, str. 808-818, Srpanj 2020. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:716955. [Citirano: 30.12.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:716955
Podaci o radu
Naslov (engleski)Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy
AutorFatlinda Sadiku-Zehri
AutorOzren Gamulin
AutorMarko Škrabić
AutorArdita Qerimi-Krasniqi
AutorFilip Sedlić
AutorAna Šepac
AutorLuka Brčić
AutorLovorka Batelja Vuletić
AutorSven Seiwerth
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
(KATEDRA ZA FIZIKU, BIOFIZIKU I MEDICINSKU FIZIKU)
Autorova ustanovaSveučilište 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)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeZavršna verzija rukopisa prihvaćena za objavljivanje (postprint)
Naslov časopisaApplied Spectroscopy
Brojčani podacivol. 74, br. 7, str. 808-818
p-ISSN0003-7028
e-ISSN1943-3530
DOIhttps://doi.org/10.1177/0003702820924726
URN:NBNurn:nbn:hr:105:716955
Datum objave publikacije2020-07
URL dokumentahttp://journals.sagepub.com/doi/10.1177/0003702820924726
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2021-04-21 13:08:24