Identification of primary tumors of brain metastases by Raman imaging and support vector machines

Bergner, Norbert; Bocklitz, Thomas; Romeike, Bernd F. M.; Reichart, Rupert; Kalff, Rolf; Krafft, Christoph; Popp, Jürgen

doi:10.1016/j.chemolab.2012.02.008

Cited by 71 publications

(51 citation statements)

References 27 publications

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“…A fiber optic probe Raman setup was applied to collect Raman images of murine brains [90] and brain regions in living mice through a cranial window [91]. Recent work studied human brain metastases by Raman and FTIR microscopic imaging [92,93]. Here, an analogous strategy was applied as shown in Figure 5.…”

Section: Ir and Raman-shp Of Brain Metastasesmentioning

confidence: 99%

“…The H & E stained tissue section adjacent to the unstained section reveals carcinoma, necrosis, carcinoma islets and scattered tumor cells. A recent study encompassed 17 specimens [92] that served as training data for support vector machines (SVM) for tissue recognition. The reclassification is included in Figure 19 The correct predicted values (CPV) were calculated by comparing the SVM assignments with the cluster annotations.…”

Section: Identification Of Tumor Marginsmentioning

confidence: 99%

“…The study encompassed brain metastases of bladder cancer, colon cancer, lung carcinoma, mamma carcinoma, renal cell carcinoma and prostate carcinoma [92]. A second SVM was trained for primary tumor recognition using the carcinoma spectra from the first SVM as input.…”

Section: Determination Of Primary Tumormentioning

confidence: 99%

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Molecular pathology via IR and Raman spectral imaging

Diem¹,

Mazur²,

Lenau³

et al. 2013

Journal of Biophotonics

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177

115

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Journal of BIOPHOTONICSDuring the last 15 years, vibrational spectroscopic methods have been developed that can be viewed as molecular pathology methods that depend on sampling the entire genome, proteome and metabolome of cells and tissues, rather than probing for the presence of selected markers. First, this review introduces the background and fundamentals of the spectroscopies underlying the new methodologies, namely infrared and Raman spectroscopy. Then, results are presented in the context of spectral histopathology of tissues for detection of metastases in lymph nodes, squamous cell carcinoma, adenocarcinomas, brain tumors and brain metastases. Results from spectral cytopathology of cells are discussed for screening of oral and cervical mucosa, and circulating tumor cells. It is concluded that infrared and Raman spectroscopy can complement histopathology and reveal information that is available in classical methods only by costly and time-consuming steps such as immunohistochemistry, polymerase chain reaction or gene arrays. Due to the inherent sensitivity toward changes in the bio-molecular composition of different cell and tissue types, vibrational spectroscopy can even provide information that is in some cases superior to that of any one of the conventional techniques.Schematic of spectral histopathology (SHP) process: diagnostic algorithm is developed by spectral data of well documented specimens and subsequently applied to unknown dataset.

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Section: Ir and Raman-shp Of Brain Metastasesmentioning

confidence: 99%

Section: Identification Of Tumor Marginsmentioning

confidence: 99%

See 1 more Smart Citation

Molecular pathology via IR and Raman spectral imaging

Diem¹,

Mazur²,

Lenau³

et al. 2013

Journal of Biophotonics

Self Cite

177

115

View full text Add to dashboard Cite

show abstract

“…The concentration of proteins differs as well. Obtained data can be used for purposes of cell identification [7,38] or planning of further biospectroscopic experiments [5].…”

Section: Application To the Study Of Cancer Cellsmentioning

confidence: 99%

“…It is particularly well suited for biological research, because it allows to detect variations in the biomolecular composition and correlate them with the corresponding biological changes due to metabolism or pathology. Absence of lengthy sample preparation, such as staining or labeling, makes Raman spectroscopy a promising tool for rapid clinical diagnosis [7,23,26,29,44,52]. Not only biological tissues [27] and body fluids [18] can be examined by Raman spectroscopy, but even individual living cells [17,32,42].…”

Section: Introductionmentioning

confidence: 99%

Design and first applications of a flexible Raman micro-spectroscopic system for biological imaging

Kiselev

Schie

Aškrabić

et al. 2016

BSI

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Abstract. Typical commercial Raman micro-spectroscopic systems do not offer much flexibility to the end user, thus limiting potential research applications. We present a design of a simple, highly flexible and portable confocal Raman microscope with a detailed list of parts. The system can perform spectral acquisition in different modes: single-point spectroscopy, hyperspectral point mapping or hyperspectral line mapping. Moreover, the microscope can be easily converted between inverted and upright configurations, which can be beneficial for specific situations. Fiber coupling enables to connect various lasers for excitation and spectrometer/CCD combinations for signal detection. The performance of the instrument is demonstrated via Raman spectroscopy at 785 nm excitation wavelength, single point mapping of pancreatic cancer cells placed onto a quartz substrate and line mapping of polystyrene beads.

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Vibrational Spectroscopic Imaging of Soft Tissue

Krafft

Popp

2014

Infrared and Raman Spectroscopic Imaging

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Identification of primary tumors of brain metastases by Raman imaging and support vector machines

Cited by 71 publications

References 27 publications

Molecular pathology via IR and Raman spectral imaging

Molecular pathology via IR and Raman spectral imaging

Design and first applications of a flexible Raman micro-spectroscopic system for biological imaging

Vibrational Spectroscopic Imaging of Soft Tissue

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