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Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins

Samo za registrovane korisnike
2019
Autori
Lisul, Bogdan
Jelovac, Drago
Petrović, Milan
Tepavčević, Zvezdana
Koruga, Đuro
Grga, Đurica
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
PurposeNegative surgical margins status is of extreme importance for better prognosis and lower recurrence rate in patients undergoing surgical treatment for oral squamous cell carcinoma (OSCC). Standard histopathology is time consuming and current optical procedures come with various limitations. We examined the potential of a new imaging technique-opto-magnetic imaging spectroscopy (OMIS) in discriminating tumor (OSCC) from adjacent non-tumor oral cavity tissue.MethodsA total of 46 samples from 21 patients were included in this study. Samples were taken from a fresh surgical specimen of primary OSCC. Digital imaging of samples was performed within 60 min of resection using OMIS device. Images were processed through a specifically designed convolution algorithm based on light-matter interaction. As a result a convolution spectrum was generated. Predictive value of spectral data was assessed using correlation tests and Naive Bayes classification model.ResultsThere was no significant co...rrelation in distribution of characteristic peaks between tumor and non-tumor tissue (P>0.05). Tumor tissue showed more magnetic activity compared to non-tumor tissue. Naive Bayes classifier with kernel density estimation discriminated tumor from non-tumor tissue with the accuracy of 82.61%, 86.96% sensitivity, 78.26% specificity and the AUC value of 0.917.ConclusionOMIS seems to be a promising optical method for ex vivo characterization of OSCC and non-tumor tissue. Further investigation is necessary to determine how tissue type and level of pathological transformation impact OMIS results. Ultimately, this could aid surgeons in using this method as an in vivo indicator for surgical resection with safe margins.

Ključne reči:
Oral cancer / Imaging spectroscopy / Device / Predictive value / I10
Izvor:
Journal of Medical & Biological Engineering, 2019, 39, 6, 874-884
Izdavač:
  • Springer Heidelberg, Heidelberg
Finansiranje / projekti:
  • Razvoj novih metoda i tehnika za ranu dijagnostiku kancera grlića materice, debelog creva, usne duplje i melanoma na bazi digitalne slike i ekscitaciono-emisionih spektara u vidljivom i infracrvenom domenu (RS-41006)

DOI: 10.1007/s40846-019-00473-y

ISSN: 1609-0985

WoS: 000491081000006

Scopus: 2-s2.0-85066904408
[ Google Scholar ]
2
URI
https://smile.stomf.bg.ac.rs/handle/123456789/2424
Kolekcije
  • Radovi istraživača
Institucija/grupa
Stomatološki fakultet
TY  - JOUR
AU  - Lisul, Bogdan
AU  - Jelovac, Drago
AU  - Petrović, Milan
AU  - Tepavčević, Zvezdana
AU  - Koruga, Đuro
AU  - Grga, Đurica
PY  - 2019
UR  - https://smile.stomf.bg.ac.rs/handle/123456789/2424
AB  - PurposeNegative surgical margins status is of extreme importance for better prognosis and lower recurrence rate in patients undergoing surgical treatment for oral squamous cell carcinoma (OSCC). Standard histopathology is time consuming and current optical procedures come with various limitations. We examined the potential of a new imaging technique-opto-magnetic imaging spectroscopy (OMIS) in discriminating tumor (OSCC) from adjacent non-tumor oral cavity tissue.MethodsA total of 46 samples from 21 patients were included in this study. Samples were taken from a fresh surgical specimen of primary OSCC. Digital imaging of samples was performed within 60 min of resection using OMIS device. Images were processed through a specifically designed convolution algorithm based on light-matter interaction. As a result a convolution spectrum was generated. Predictive value of spectral data was assessed using correlation tests and Naive Bayes classification model.ResultsThere was no significant correlation in distribution of characteristic peaks between tumor and non-tumor tissue (P>0.05). Tumor tissue showed more magnetic activity compared to non-tumor tissue. Naive Bayes classifier with kernel density estimation discriminated tumor from non-tumor tissue with the accuracy of 82.61%, 86.96% sensitivity, 78.26% specificity and the AUC value of 0.917.ConclusionOMIS seems to be a promising optical method for ex vivo characterization of OSCC and non-tumor tissue. Further investigation is necessary to determine how tissue type and level of pathological transformation impact OMIS results. Ultimately, this could aid surgeons in using this method as an in vivo indicator for surgical resection with safe margins.
PB  - Springer Heidelberg, Heidelberg
T2  - Journal of Medical & Biological Engineering
T1  - Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins
VL  - 39
IS  - 6
SP  - 874
EP  - 884
DO  - 10.1007/s40846-019-00473-y
ER  - 
@article{
author = "Lisul, Bogdan and Jelovac, Drago and Petrović, Milan and Tepavčević, Zvezdana and Koruga, Đuro and Grga, Đurica",
year = "2019",
abstract = "PurposeNegative surgical margins status is of extreme importance for better prognosis and lower recurrence rate in patients undergoing surgical treatment for oral squamous cell carcinoma (OSCC). Standard histopathology is time consuming and current optical procedures come with various limitations. We examined the potential of a new imaging technique-opto-magnetic imaging spectroscopy (OMIS) in discriminating tumor (OSCC) from adjacent non-tumor oral cavity tissue.MethodsA total of 46 samples from 21 patients were included in this study. Samples were taken from a fresh surgical specimen of primary OSCC. Digital imaging of samples was performed within 60 min of resection using OMIS device. Images were processed through a specifically designed convolution algorithm based on light-matter interaction. As a result a convolution spectrum was generated. Predictive value of spectral data was assessed using correlation tests and Naive Bayes classification model.ResultsThere was no significant correlation in distribution of characteristic peaks between tumor and non-tumor tissue (P>0.05). Tumor tissue showed more magnetic activity compared to non-tumor tissue. Naive Bayes classifier with kernel density estimation discriminated tumor from non-tumor tissue with the accuracy of 82.61%, 86.96% sensitivity, 78.26% specificity and the AUC value of 0.917.ConclusionOMIS seems to be a promising optical method for ex vivo characterization of OSCC and non-tumor tissue. Further investigation is necessary to determine how tissue type and level of pathological transformation impact OMIS results. Ultimately, this could aid surgeons in using this method as an in vivo indicator for surgical resection with safe margins.",
publisher = "Springer Heidelberg, Heidelberg",
journal = "Journal of Medical & Biological Engineering",
title = "Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins",
volume = "39",
number = "6",
pages = "874-884",
doi = "10.1007/s40846-019-00473-y"
}
Lisul, B., Jelovac, D., Petrović, M., Tepavčević, Z., Koruga, Đ.,& Grga, Đ.. (2019). Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins. in Journal of Medical & Biological Engineering
Springer Heidelberg, Heidelberg., 39(6), 874-884.
https://doi.org/10.1007/s40846-019-00473-y
Lisul B, Jelovac D, Petrović M, Tepavčević Z, Koruga Đ, Grga Đ. Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins. in Journal of Medical & Biological Engineering. 2019;39(6):874-884.
doi:10.1007/s40846-019-00473-y .
Lisul, Bogdan, Jelovac, Drago, Petrović, Milan, Tepavčević, Zvezdana, Koruga, Đuro, Grga, Đurica, "Predictive Value of Opto-magnetic Imaging Spectroscopy in Discriminating Oral Squamous Cell Carcinoma from Non-tumor Tissue in Surgical Margins" in Journal of Medical & Biological Engineering, 39, no. 6 (2019):874-884,
https://doi.org/10.1007/s40846-019-00473-y . .

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