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Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors
Συγγραφείς: Uckermann, Ortrud, Ziegler, Jonathan, Meinhardt, Matthias, Richter, Sven, Schackert, Gabriele, Eyüpoglu, Ilker Y., Hijazi, Mido M., Krex, Dietmar, Juratli, Tareq A., Sobottka, Stephan B., Galli, Roberta
Πηγή: http://lobid.org/resources/99370674912706441#!, 170(3):543-553.
Έτος έκδοσης: 2024
Συλλογή: Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
Θεματικοί όροι: Female [MeSH], Glial tumors, Glioma/surgery [MeSH], Raman spectroscopy, Aged [MeSH], Adult [MeSH], Humans [MeSH], Autofluorescence, Brain Neoplasms/surgery [MeSH], Middle Aged [MeSH], Intraoperative, Brain metastases, Optical Imaging/methods [MeSH], Glioma/pathology [MeSH], Spectrometry, Fluorescence/methods [MeSH], Male [MeSH], Meningioma/pathology [MeSH], Spectrum Analysis, Raman/methods [MeSH], Research, Meningioma/surgery [MeSH], Brain Neoplasms/pathology [MeSH]
Περιγραφή: Abstract Purpose Raman spectroscopy (RS) is a promising method for brain tumor detection. Near-infrared autofluorescence (AF) acquired during RS provides additional useful information for tumor identification and was investigated in comparison with RS for delineating brain tumors in situ. Methods Raman spectra were acquired together with AF in situ within the solid tumor and at the tumor border during routine brain tumor surgeries (218 spectra; glioma WHO II-III, n = 6; GBM, n = 10; metastases, n = 10; meningioma, n = 3). Tissue classification for tumor identification in situ was trained on ex vivo data (375 spectra; glioma/GBM patients, n = 20; metastases, n = 11; meningioma, n = 13; and epileptic hippocampi, n = 4). Results Both in situ and ex vivo data showed that AF intensity in brain tumors was lower than that in border regions and normal brain tissue. Moreover, a positive correlation was observed between the AF intensity and the intensity of the Raman band corresponding to lipids at 1437 cm− 1, while a negative correlation was found with the intensity of the protein band at 1260 cm− 1. The classification of in situ AF and RS datasets matched the surgeon’s evaluation of tissue type, with correct rates of 0.83 and 0.84, respectively. Similar correct rates were achieved in comparison to histopathology of tissue biopsies resected in selected ...
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://repository.publisso.de/resource/frl:6503211; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11614956/
DOI: 10.1007/s11060-024-04809-w
Διαθεσιμότητα: https://repository.publisso.de/resource/frl:6503211
https://doi.org/10.1007/s11060-024-04809-w
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11614956/
Rights: https://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης: edsbas.FB04C13
Βάση Δεδομένων: BASE
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  Data: Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors
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  Data: <searchLink fieldCode="AR" term="%22Uckermann%2C+Ortrud%22">Uckermann, Ortrud</searchLink><br /><searchLink fieldCode="AR" term="%22Ziegler%2C+Jonathan%22">Ziegler, Jonathan</searchLink><br /><searchLink fieldCode="AR" term="%22Meinhardt%2C+Matthias%22">Meinhardt, Matthias</searchLink><br /><searchLink fieldCode="AR" term="%22Richter%2C+Sven%22">Richter, Sven</searchLink><br /><searchLink fieldCode="AR" term="%22Schackert%2C+Gabriele%22">Schackert, Gabriele</searchLink><br /><searchLink fieldCode="AR" term="%22Eyüpoglu%2C+Ilker+Y%2E%22">Eyüpoglu, Ilker Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Hijazi%2C+Mido+M%2E%22">Hijazi, Mido M.</searchLink><br /><searchLink fieldCode="AR" term="%22Krex%2C+Dietmar%22">Krex, Dietmar</searchLink><br /><searchLink fieldCode="AR" term="%22Juratli%2C+Tareq+A%2E%22">Juratli, Tareq A.</searchLink><br /><searchLink fieldCode="AR" term="%22Sobottka%2C+Stephan+B%2E%22">Sobottka, Stephan B.</searchLink><br /><searchLink fieldCode="AR" term="%22Galli%2C+Roberta%22">Galli, Roberta</searchLink>
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  Data: <i>http://lobid.org/resources/99370674912706441#!, 170(3):543-553</i>.
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  Data: 2024
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  Data: Publisso (ZB MED-Publikationsportal Lebenswissenschaften)
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  Data: <searchLink fieldCode="DE" term="%22Female+[MeSH]%22">Female [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Glial+tumors%22">Glial tumors</searchLink><br /><searchLink fieldCode="DE" term="%22Glioma%2Fsurgery+[MeSH]%22">Glioma/surgery [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Raman+spectroscopy%22">Raman spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Aged+[MeSH]%22">Aged [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Adult+[MeSH]%22">Adult [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Humans+[MeSH]%22">Humans [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Autofluorescence%22">Autofluorescence</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+Neoplasms%2Fsurgery+[MeSH]%22">Brain Neoplasms/surgery [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+Aged+[MeSH]%22">Middle Aged [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Intraoperative%22">Intraoperative</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+metastases%22">Brain metastases</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+Imaging%2Fmethods+[MeSH]%22">Optical Imaging/methods [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Glioma%2Fpathology+[MeSH]%22">Glioma/pathology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometry%22">Spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Fluorescence%2Fmethods+[MeSH]%22">Fluorescence/methods [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Male+[MeSH]%22">Male [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Meningioma%2Fpathology+[MeSH]%22">Meningioma/pathology [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+Analysis%22">Spectrum Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Raman%2Fmethods+[MeSH]%22">Raman/methods [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Meningioma%2Fsurgery+[MeSH]%22">Meningioma/surgery [MeSH]</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+Neoplasms%2Fpathology+[MeSH]%22">Brain Neoplasms/pathology [MeSH]</searchLink>
– Name: Abstract
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  Data: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>Raman spectroscopy (RS) is a promising method for brain tumor detection. Near-infrared autofluorescence (AF) acquired during RS provides additional useful information for tumor identification and was investigated in comparison with RS for delineating brain tumors in situ.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Raman spectra were acquired together with AF in situ within the solid tumor and at the tumor border during routine brain tumor surgeries (218 spectra; glioma WHO II-III, <jats:italic>n</jats:italic> = 6; GBM, <jats:italic>n</jats:italic> = 10; metastases, <jats:italic>n</jats:italic> = 10; meningioma, <jats:italic>n</jats:italic> = 3). Tissue classification for tumor identification in situ was trained on ex vivo data (375 spectra; glioma/GBM patients, <jats:italic>n</jats:italic> = 20; metastases, <jats:italic>n</jats:italic> = 11; meningioma, <jats:italic>n</jats:italic> = 13; and epileptic hippocampi, <jats:italic>n</jats:italic> = 4).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Both in situ and ex vivo data showed that AF intensity in brain tumors was lower than that in border regions and normal brain tissue. Moreover, a positive correlation was observed between the AF intensity and the intensity of the Raman band corresponding to lipids at 1437 cm<jats:sup>− 1</jats:sup>, while a negative correlation was found with the intensity of the protein band at 1260 cm<jats:sup>− 1</jats:sup>. The classification of in situ AF and RS datasets matched the surgeon’s evaluation of tissue type, with correct rates of 0.83 and 0.84, respectively. Similar correct rates were achieved in comparison to histopathology of tissue biopsies resected in selected ...
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  Data: https://repository.publisso.de/resource/frl:6503211; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11614956/
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  Data: 10.1007/s11060-024-04809-w
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