Intraoperative brain cancer detection with Raman spectroscopy in humans

Jermyn, Michael; Mok, Kelvin; Mercier, Jeanne; Desroches, Joannie; Pichette, Julien; Saint-Arnaud, Karl; Bernstein, Liane; Guiot, Marie‐Christine; Petrecca, Kevin; Leblond, Frédéric

doi:10.1126/scitranslmed.aaa2384

Cited by 535 publications

(500 citation statements)

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“…In vivo RS has been shown to be a highly specific and sensitive cancer detection method for multiple pathologies with detection accuracy values usually limited to approximately 90% (7,(15)(16)(17)30), while oncology applications using IFS and/or DRS have been similarly limited (26,28,29,31). We hypothesized that IFS and DRS have the potential to synergistically complement the molecular information provided by RS to maximize cancer detection capability.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have shown dramatic survival advantages by surgically minimizing the volume of cancers, including melanoma (1), brain (2), breast (3), and lung cancers (4). Otherwise, precancerous, cancerous, or normal tissue invaded by cancer cells remain (5)(6)(7). When these residual cells are not eradicated by adjuvant treatments, they give rise to recurrences.…”

Section: Introductionmentioning

confidence: 99%

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Highly Accurate Detection of Cancer In Situ with Intraoperative, Label-Free, Multimodal Optical Spectroscopy

et al. 2017

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Effectiveness of surgery as a cancer treatment is reduced when all cancer cells are not detected during surgery, leading to recurrences that negatively impact survival. To maximize cancer cell detection during cancer surgery, we designed an in situ intraoperative, label-free, optical cancer detection system that combines intrinsic fluorescence spectroscopy, diffuse reflectance spectroscopy, and Raman spectroscopy. Using this multimodal optical cancer detection system, we found that brain, lung, colon, and skin cancers could be detected in situ during surgery with an accuracy, sensitivity, and specificity of 97%, 100%, and 93%, respectively. This highly sensitive optical molecular imaging approach can profoundly impact a wide range of surgical and noninvasive interventional oncology procedures by improving cancer detection capabilities, thereby reducing cancer burden and improving survival and quality of life.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Highly Accurate Detection of Cancer In Situ with Intraoperative, Label-Free, Multimodal Optical Spectroscopy

et al. 2017

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“…Additional information can be obtained by positron emission tomography, functional MRI, diffusion weighted imaging, fluid-attenuated inversion recovery, and magnetic resonance spectroscopic imaging (MRSI). Raman spectroscopy performed in vivo seeks to provide chemical information that allows rapid identification of cancerous tissue (14). Fluorescence imaging uses appropriate molecular labels to visualize tumors during surgery (15,16).…”

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confidence: 99%

Lipid and metabolite profiles of human brain tumors by desorption electrospray ionization-MS

Jarmusch

Pirro

Baird

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Examination of tissue sections using desorption electrospray ionization (DESI)-MS revealed phospholipid-derived signals that differ between gray matter, white matter, gliomas, meningiomas, and pituitary tumors, allowing their ready discrimination by multivariate statistics. A set of lower mass signals, some corresponding to oncometabolites, including 2-hydroxyglutaric acid and N-acetylaspartic acid, was also observed in the DESI mass spectra, and these data further assisted in discrimination between brain parenchyma and gliomas. The combined information from the lipid and metabolite MS profiles recorded by DESI-MS and explored using multivariate statistics allowed successful differentiation of gray matter (n = 223), white matter (n = 66), gliomas (n = 158), meningiomas (n = 111), and pituitary tumors (n = 154) from 58 patients. A linear discriminant model used to distinguish brain parenchyma and gliomas yielded an overall sensitivity of 97.4% and a specificity of 98.5%. Furthermore, a discriminant model was created for tumor types (i.e., glioma, meningioma, and pituitary), which were discriminated with an overall sensitivity of 99.4% and a specificity of 99.7%. Unsupervised multivariate statistics were used to explore the chemical differences between anatomical regions of brain parenchyma and secondary infiltration. Infiltration of gliomas into normal tissue can be detected by DESI-MS. One hurdle to implementation of DESI-MS intraoperatively is the need for tissue freezing and sectioning, which we address by analyzing smeared biopsy tissue. Tissue smears are shown to give the same chemical information as tissue sections, eliminating the need for sectioning before MS analysis. These results lay the foundation for implementation of intraoperative DESI-MS evaluation of tissue smears for rapid diagnosis. ambient ionization | MS imaging | multivariate statistics | pathology | neurosurgery M S is increasingly being used in medicine (e.g., in clinical chemistry, pharmaceutical development, and proteomics). Ambient ionization methods generate ions under atmospheric conditions, with minimal to no sample preparation (1). Desorption electrospray ionization (DESI), an ambient method that uses a spray of charged solvent as the projectile, provides rapid chemical information while preserving tissue and cellular morphology, allowing subsequent histopathology on the same specimen (2). This feature allows integration of DESI-MS into current workflows and postacquisition pathology. DESI-MS has been used to study prostate cancer (3), bladder cancer (4), kidney cancer (5), seminoma (6), lymphoma (7), gastrointestinal cancer (8), and others. In each case, the recorded pattern of lipid signals allows the differentiation of cancer from normal tissue. DESI-MS has been previously used to explore chemical differences among glioma subtypes, grades, and tumor cell concentrations (relative percentage of tumor compared with parenchyma) (9, 10). Meningiomas have also been studied previously and were distinguished from normal dura mater (11).T...

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“…Raman spectroscopy and imaging has, through its ability to identify subtle changes in tissue composition, found applications in the fields of early-stage inflammatory apoptosis of adult hippocampal stem cells (Ladiwala et al 2014), cancer identification in human brain tissue (Jermyn et al 2015;Ji et al 2013) and changes in blood vessels associated with heart disease (Matthaus et al 2012). …”

Section: Raman Spectroscopymentioning

confidence: 99%

Novel imaging tools for investigating the role of immune signalling in the brain

Jacobsen

Parker

Everest‐Dass

et al. 2016

Brain, Behavior, and Immunity

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In all cases accepted manuscripts should:  link to the formal publication via its DOI  bear a CC-BY-NC-ND license -this is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be shared in alignment with our hosting policy  not be added to or enhanced in any way to appear more like, or to substitute for, the published journal article AbstractThe importance of neuro-immune interactions in both physiological and pathophysiological states cannot be understated. As our appreciation for the neuroimmune nature of the brain and spinal cord grows, so does our need to extend the spatial and temporal resolution of our molecular analysis techniques. Current imaging technologies applied to investigate the actions of the neuroimmune system in both health and disease states have been adapted from the fields of immunology and neuroscience and are inherently limited by their semiquantitative nature, loss of spatial resolution, photobleaching and detection sensitivity. Thus, the development of innovative methods which overcome these limitations are crucial for imaging and quantifying acute and chronic neuroimmune responses. Therefore, this review aims to convey novel and complementary imaging technologies in a form accessible to medical scientists engaging in neuroimmune research.

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Intraoperative brain cancer detection with Raman spectroscopy in humans

Cited by 535 publications

References 48 publications

Highly Accurate Detection of Cancer In Situ with Intraoperative, Label-Free, Multimodal Optical Spectroscopy

Highly Accurate Detection of Cancer In Situ with Intraoperative, Label-Free, Multimodal Optical Spectroscopy

Lipid and metabolite profiles of human brain tumors by desorption electrospray ionization-MS

Novel imaging tools for investigating the role of immune signalling in the brain

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