Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) spectral discrimination of brain tumour severity from serum samples
Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent‐free and cost‐effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the...
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| Vydáno v: | Journal of biophotonics Ročník 7; číslo 3-4; s. 189 - 199 |
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| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin
WILEY-VCH Verlag
01.04.2014
WILEY‐VCH Verlag Wiley Subscription Services, Inc |
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| ISSN: | 1864-063X, 1864-0648, 1864-0648 |
| On-line přístup: | Získat plný text |
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| Abstract | Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent‐free and cost‐effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR‐FTIR spectral data combined with a RBF‐SVM for the diagnosis of gliomas (high‐grade and low‐grade) from non‐cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. (© 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim) |
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| AbstractList | Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates.Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [PUBLICATION ABSTRACT] Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. ( copyright 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR-FTIR spectral data combined with a RBF-SVM for the diagnosis of gliomas (high-grade and low-grade) from non-cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent‐free and cost‐effective diagnostic regime using serum spectroscopy would allow for rapid diagnostic results and for swift treatment planning and monitoring within the clinical environment. We report the use of ATR‐FTIR spectral data combined with a RBF‐SVM for the diagnosis of gliomas (high‐grade and low‐grade) from non‐cancer with sensitivities and specificities on average of 93.75 and 96.53% respectively. The proposed diagnostic regime has the ability to reduce mortality and morbidity rates. (© 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim) |
| Author | Jenkinson, Michael D. Abel, Peter Hands, James R. Lea, Robert W. Walker, Carol Dorling, Konrad M. Dawson, Timothy Brodbelt, Andrew Davis, Charles Baker, Matthew J. Ashton, Katherine M. |
| Author_xml | – sequence: 1 givenname: James R. surname: Hands fullname: Hands, James R. organization: Centre for Materials Science, Division of Chemistry, JB Firth Building, University of Central Lancashire, Preston, PR1 2HE, UK – sequence: 2 givenname: Konrad M. surname: Dorling fullname: Dorling, Konrad M. organization: Centre for Materials Science, Division of Chemistry, JB Firth Building, University of Central Lancashire, Preston, PR1 2HE, UK – sequence: 3 givenname: Peter surname: Abel fullname: Abel, Peter organization: School of Pharmacy and Biomedical Sciences, Maudland Building, University of Central Lancashire, Preston, PR1 2HE, UK – sequence: 4 givenname: Katherine M. surname: Ashton fullname: Ashton, Katherine M. organization: Department of Pathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, Lancashire, PR2 9HT, UK – sequence: 5 givenname: Andrew surname: Brodbelt fullname: Brodbelt, Andrew organization: The Walton Centre for Neurology and Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK – sequence: 6 givenname: Charles surname: Davis fullname: Davis, Charles organization: Department of Pathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, Lancashire, PR2 9HT, UK – sequence: 7 givenname: Timothy surname: Dawson fullname: Dawson, Timothy organization: Department of Pathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Sharoe Green Lane North, Preston, Lancashire, PR2 9HT, UK – sequence: 8 givenname: Michael D. surname: Jenkinson fullname: Jenkinson, Michael D. organization: The Walton Centre for Neurology and Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK – sequence: 9 givenname: Robert W. surname: Lea fullname: Lea, Robert W. organization: School of Pharmacy and Biomedical Sciences, Maudland Building, University of Central Lancashire, Preston, PR1 2HE, UK – sequence: 10 givenname: Carol surname: Walker fullname: Walker, Carol organization: The Walton Centre for Neurology and Neurosurgery, The Walton Centre NHS Foundation Trust, Lower Lane, Fazakerley, Liverpool, L9 7LJ, UK – sequence: 11 givenname: Matthew J. surname: Baker fullname: Baker, Matthew J. email: MJBaker@uclan.ac.uk organization: Centre for Materials Science, Division of Chemistry, JB Firth Building, University of Central Lancashire, Preston, PR1 2HE, UK |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24395599$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Copyright © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
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| Keywords | filtrate ATR-FTIR spectroscopy rapid glioma cancer infrared serum |
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| References_xml | – reference: J. M. Bruner, L. Inouye, G. N. Fuller, and L. A. Langford. Cancer 79(4), 796-803 (1997). – reference: K. M. Dorling and M. J. Baker, Trends Biotechnol 31(8), 437-438 (2013). – reference: G. Steiner, A. Shaw, L. P. Choo-Smith, M. H. Abuid, G. Schackert, S. B. Sobattka, W. Steller, R. Salzer, and H. H. Mantsch. Biopolymers 72(6), 464-471 (2002). – reference: E. Crocetti, A. Trama, C. Stiller, A. Caldarella, R. Soffietti, J. Jaal, D. C. Weber, U. Ricardi, J. Slowinski, and A. Brandes, Eur J Cancer 48(10), 1532-1542 (2012). – reference: L. C. Borish and J. W. Steinke, J Allergy Clin Immunol 111(2), 460-475 (2003). – reference: J. R. Backhaus, Mueller, N. Formanski, N. Szlama, H.-G. Meerpohl, M. Eidt, and P. Bugert, Vib Spectrosc 52(2), 173-177 (2010). – reference: S. G. Kazarian and K. L. Chan, Analyst 138(7), 1940-1951 (2013). – reference: S. B. Sobottka, K. D. Geiger, R. Salzer, G. Schackert, and C. Krafft. Anal Bioanal Chem 393(1), 187-195 (2009). – reference: M. J. Baker, E. Gazi, M. D. Brown, J. H. Shanks, N. W. Clarke, and P. Gardner. J Biophotonics 2(1-2), 104-113 (2009). – reference: E. Goormaghtigh, V. Raussens, and J. M. Ruysschaert, Biochim Biophys Acta 1422(2), 105-185 (1999). – reference: A. D. Meade, F. M. Lyng, and P. Knief, Anal Bioanal Chem 387(5), 1717-1728 (2007). – reference: W. Chen, J Nucl Med 48(9)1468-1481 (2007). – reference: J. Y. Ljubimova, M. Fugita, N. M. Khazenzon, A. Das, B. B. Pikul, D. Newman, K. Sekiguchi, L. M. Sorokin, T. Sasaki, and K. L. Black, Cancer 101(3), 604-612. – reference: K. M. Dorling and M. J. Baker, Trends Biotechnol 31(6), 327-328 (2013). – reference: K. Swanson, M. Simon, A. Deutsch, C. Schaller, and H. Hatzikirou. Math Models Methods Appl Sci 15(11), 1779-1794 (2005). – reference: J. Vaquero, R. Martinez, and M. Manrique, Surg Neurol 53(5), 432-437 (2000). – reference: R. Stupp, J. C. Tonn, M. Brada, and G. 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| Snippet | Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent‐free and cost‐effective... Gliomas are the most frequent primary brain tumours in adults with over 9,000 people diagnosed each year in the UK. A rapid, reagent-free and cost-effective... |
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| SubjectTerms | Adolescent Adult Aged Aged, 80 and over ATR-FTIR Brain Neoplasms - blood Brain Neoplasms - diagnosis Brain tumors cancer Early Detection of Cancer Female filtrate Fourier transforms glioma Glioma - blood Glioma - diagnosis Humans infrared Male Mass Screening - methods Middle Aged rapid Reproducibility of Results Sensitivity and Specificity serum spectroscopy Spectroscopy, Fourier Transform Infrared - methods Young Adult |
| Title | Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) spectral discrimination of brain tumour severity from serum samples |
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