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Steiner G, Galli R, Preusse G, Michen S, Meinhardt M, Temme A, Sobottka SB, Juratli TA, Koch E, Schackert G, Kirsch M, Uckermann O. A new approach for clinical translation of infrared spectroscopy: exploitation of the signature of glioblastoma for general brain tumor recognition. J Neurooncol 2023; 161:57-66. [PMID: 36509907 PMCID: PMC9886632 DOI: 10.1007/s11060-022-04204-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/01/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE Infrared (IR) spectroscopy has the potential for tumor delineation in neurosurgery. Previous research showed that IR spectra of brain tumors are generally characterized by reduced lipid-related and increased protein-related bands. Therefore, we propose the exploitation of these common spectral changes for brain tumor recognition. METHODS Attenuated total reflection IR spectroscopy was performed on fresh specimens of 790 patients within minutes after resection. Using principal component analysis and linear discriminant analysis, a classification model was developed on a subset of glioblastoma (n = 135) and non-neoplastic brain (n = 27) specimens, and then applied to classify the IR spectra of several types of brain tumors. RESULTS The model correctly classified 82% (517/628) of specimens as "tumor" or "non-tumor", respectively. While the sensitivity was limited for infiltrative glioma, this approach recognized GBM (86%), other types of primary brain tumors (92%) and brain metastases (92%) with high accuracy and all non-tumor samples were correctly identified. CONCLUSION The concept of differentiation of brain tumors from non-tumor brain based on a common spectroscopic tumor signature will accelerate clinical translation of infrared spectroscopy and related technologies. The surgeon could use a single instrument to detect a variety of brain tumor types intraoperatively in future clinical settings. Our data suggests that this would be associated with some risk of missing infiltrative regions or tumors, but not with the risk of removing non-tumor brain.
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Affiliation(s)
- Gerald Steiner
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Roberta Galli
- Medical Physics and Biomedical Engineering, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Grit Preusse
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Susanne Michen
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany
| | - Matthias Meinhardt
- Department of Pathology (Neuropathology), University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Achim Temme
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany ,National Center for Tumor Diseases (NCT), Partner Site Dresden, German Cancer Research Center (DKFZ), Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephan B. Sobottka
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany
| | - Tareq A. Juratli
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany
| | - Edmund Koch
- Clinical Sensoring and Monitoring, Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Gabriele Schackert
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany ,National Center for Tumor Diseases (NCT), Partner Site Dresden, German Cancer Research Center (DKFZ), Heidelberg, Germany ,German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Ortrud Uckermann
- Department of Neurosurgery, University Hospital Carl Gustav Carus, TU, Dresden, Germany ,Division of Medical Biology, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307 Dresden, Germany
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Abstract
Despite significant effort, cancer still remains a leading cause of death worldwide. In order to reduce its burden, the development and improvement of noninvasive strategies for early detection and diagnosis of cancer are urgently needed. Raman spectroscopy, an optical technique that relies on inelastic light scattering arising from molecular vibrations, is one such strategy, as it can noninvasively probe cancerous markers using only endogenous contrast. In this review, spontaneous, coherent and surface enhanced Raman spectroscopies and imaging, as well as the fundamental principles governing the successful use of these techniques, are discussed. Methods for spectral data analysis are also highlighted. Utilization of the discussed Raman techniques for the detection and diagnosis of cancer in vitro, ex vivo and in vivo is described. The review concludes with a discussion of the future directions of Raman technologies, with particular emphasis on their clinical translation.
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Affiliation(s)
- Lauren A Austin
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Sam Osseiran
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA. and Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue E25-519, Cambridge, Massachusetts 02139, USA
| | - Conor L Evans
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
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Miernik A, Eilers Y, Nuese C, Bolwien C, Lambrecht A, Hesse A, Rassweiler JJ, Schlager D, Wilhelm K, Wetterauer U, Schoenthaler M. Is in vivo analysis of urinary stone composition feasible? Evaluation of an experimental setup of a Raman system coupled to commercial lithotripsy laser fibers. World J Urol 2015; 33:1593-9. [DOI: 10.1007/s00345-014-1477-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 12/29/2014] [Indexed: 12/13/2022] Open
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Grootendorst DJ, Steenbergen W, Manohar S, Ruers TJM. Optical techniques for the intraoperative assessment of nodal status. Future Oncol 2013; 9:1741-55. [PMID: 24156334 DOI: 10.2217/fon.13.125] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The lymphatic system is an important pathway in the metastatic spread of many malignancies and a key prognostic indicator. Nondestructive assessment of the nodal status during surgery could limit the amount of lymph nodes that need to be resected and allow for immediate regional lymphadenectomy during sentinel lymph node biopsy procedures. This review looks into the possibilities of conventional medical imaging methods that are capable of intraoperative nodal assessment and discusses multiple newly developed optical techniques. The physical background behind these techniques is reviewed and a concise overview of their main advantages and disadvantages is provided. These recent innovations show that while the application of optical modalities for intraoperative nodal staging is not yet applied routinely, there is reason enough to expect their introduction in the near future.
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Affiliation(s)
- Diederik J Grootendorst
- Biomedical Photonic Imaging Group, MIRA Institute for Biomedical Technology & Technical Medicine, Science & Technology, University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands
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Optical spectroscopic methods for intraoperative diagnosis. Anal Bioanal Chem 2013; 406:21-5. [PMID: 24136252 DOI: 10.1007/s00216-013-7401-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2013] [Revised: 09/12/2013] [Accepted: 09/25/2013] [Indexed: 10/26/2022]
Abstract
Molecular analytical methods are increasingly needed for a quick and reliable analysis of tissue in an operating room to provide more information during operations. In this Trends article, we highlight the current state and the developments of optical spectroscopic methods as intra operative tools. The clinical problem and challenges are illustrated on the example of brain tumor surgery. While fluorescence microscopy is already used, vibrational spectroscopy techniques will complement the standard method for brain tissue diagnostics. New portable instruments are currently available and can be stationed in the operating room for quick evaluation of tissue. The promise and limitations of fluorescence and vibrational spectroscopy as intraoperative tools are surveyed in this report.
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Sablinskas V, Urboniene V, Ceponkus J, Laurinavicius A, Dasevicius D, Jankevicius F, Hendrixson V, Koch E, Steiner G. Infrared spectroscopic imaging of renal tumor tissue. JOURNAL OF BIOMEDICAL OPTICS 2011; 16:096006. [PMID: 21950920 DOI: 10.1117/1.3622292] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Fourier transform infrared (FTIR) spectroscopic imaging has been used to probe the biochemical composition of human renal tumor tissue and adjacent normal tissue. Freshly resected renal tumor tissue from surgery was prepared as a thin cryosection and examined by FTIR spectroscopic imaging. Tissue types could be discriminated by utilizing a combination of fuzzy k-means cluster analysis and a supervised classification algorithm based on a linear discriminant analysis. The spectral classification is compared and contrasted with the histological stained image. It is further shown that renal tumor cells have spread in adjacent normal tissue. This study demonstrates that FTIR spectroscopic imaging can potentially serve as a fast and objective approach for discrimination of renal tumor tissue from normal tissue and even in the detection of tumor infiltration in adjacent tissue.
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Affiliation(s)
- Valdas Sablinskas
- Vilnius University, Faculty of Physics, Saulėtekio av. 9, LT-10222 Vilnius, Lithuania.
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