prikaz prve stranice dokumenta Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy
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Scientific paper - Original scientific paper
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

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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, no. 7, 2020, pp. 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 and Sven Seiwerth. "Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy." Applied Spectroscopy 74, no. 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), pp. 808-818. doi: 10.1177/0003702820924726

Sadiku Zehri F, Gamulin O, Škrabić M, Qerimi Krasniqi A, Sedlić F, Šepac A, and sur.. Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy. Applied Spectroscopy [Internet]. 2020 July [cited 2024 November 26];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, no. 7, pp. 808-818, July 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:716955. [Accessed: 26 November 2024]

Metadata
Title (english)Differentiating Between Malignant Mesothelioma and Other Pleural Lesions Using Fourier Transform Infrared Spectroscopy
AuthorFatlinda Sadiku-Zehri
AuthorOzren Gamulin
AuthorMarko Škrabić
AuthorArdita Qerimi-Krasniqi
AuthorFilip Sedlić
AuthorAna Šepac
AuthorLuka Brčić
AuthorLovorka Batelja Vuletić
AuthorSven Seiwerth
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Physics and Biophysics)
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Pathology)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Pathology
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionAccepted version
Journal titleApplied Spectroscopy
Numberingvol. 74, no. 7, pp. 808-818
p-ISSN0003-7028
e-ISSN1943-3530
DOIhttps://doi.org/10.1177/0003702820924726
URN:NBNurn:nbn:hr:105:716955
Publication2020-07
Document URLhttp://journals.sagepub.com/doi/10.1177/0003702820924726
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-04-21 13:08:24