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Fousková M, Habartová L, Vališ J, Nahodilová M, Vaňková A, Synytsya A, Šestáková Z, Votruba J, Setnička V. Raman spectroscopy in lung cancer diagnostics: Can an in vivo setup compete with ex vivo applications? SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 322:124770. [PMID: 38996761 DOI: 10.1016/j.saa.2024.124770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/08/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024]
Abstract
Lung carcinoma remains the leading cause of cancer death worldwide. The tactic to change this unfortunate rate may be a timely and rapid diagnostic, which may in many cases improve patient prognosis. In our study, we focus on the comparison of two novel methods of rapid lung carcinoma diagnostics, label-free in vivo and ex vivo Raman spectroscopy of the epithelial tissue, and assess their feasibility in clinical practice. As these techniques are sensitive not only to the basic molecular composition of the analyzed sample but also to the secondary structure of large biomolecules, such as tissue proteins, they represent suitable candidate methods for epithelial cancer diagnostics. During routine bronchoscopy, we collected 78 in vivo Raman spectra of normal and cancerous lung tissue and 37 samples of endobronchial pathologies, which were subsequently analyzed ex vivo. Using machine learning techniques, namely principal component analysis (PCA) and support vector machines (SVM), we were able to reach 87.2% (95% CI, 79.8-94.6%) and 100.0% (95% CI, 92.1-100.0%) of diagnostic accuracy for in vivo and ex vivo setup, respectively. Although the ex vivo approach provided superior results, the rapidity of in vivo Raman spectroscopy might become unmatchable in the acceleration of the diagnostic process.
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Affiliation(s)
- Markéta Fousková
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Lucie Habartová
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Jan Vališ
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Magdaléna Nahodilová
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Aneta Vaňková
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Alla Synytsya
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic
| | - Zuzana Šestáková
- 1st Clinic of Tuberculosis and Respiratory Diseases, 1st Faculty of Medicine, Charles University Prague and General University Hospital in Prague, U Nemocnice 2, 128 08, Prague 2, Czech Republic
| | - Jiří Votruba
- 1st Clinic of Tuberculosis and Respiratory Diseases, 1st Faculty of Medicine, Charles University Prague and General University Hospital in Prague, U Nemocnice 2, 128 08, Prague 2, Czech Republic
| | - Vladimír Setnička
- Department of Analytical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic.
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Liberda-Matyja D, Koziol-Bohatkiewicz P, Wrobel TP. Pancreatic intraepithelial neoplasia detection and duct pathology grading using FT-IR imaging and machine learning. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 309:123756. [PMID: 38154304 DOI: 10.1016/j.saa.2023.123756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/06/2023] [Accepted: 12/08/2023] [Indexed: 12/30/2023]
Abstract
Pancreatic intraepithelial neoplasia (PanIN) is manifested by noninvasive lesions in the epithelium of smaller pancreatic ducts. Generally, cancer development risk from low-grade PanIN is minor, whereas, invasive pancreatic ductal adenocarcinoma (PDAC) development is highly related to high-grade PanINs. Therefore, in the case of high-grade PanIN detection, additional surgical resection may be recommended. However, even the low-grade PanINs can indicate possible progression to PDAC. The definition of PanIN is constantly changing and there is a need for new tools to better characterize and understand its behavior. We have recently developed a comprehensive pancreatic cancer classification model with biopsies collected from over 600 biopsies from 250 patients. Here, we take the next step and employ Infrared (IR) spectroscopy to build the first classification model for PanINs detection. Furthermore, we created a Partial Least Squares Regression (PLSR) model to characterize ducts from benign to cancerous. This model was then used to predict and grade PanINs accordingly to their malignancy level.
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Affiliation(s)
- Danuta Liberda-Matyja
- Jagiellonian University, Doctoral School of Exact and Natural Sciences, Prof. St. Łojasiewicza 11, PL30348 Cracow, Poland; Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland
| | - Paulina Koziol-Bohatkiewicz
- Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland; Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Lojasiewicza 11, 30-348 Krakow, Poland
| | - Tomasz P Wrobel
- Solaris National Synchrotron Radiation Centre, Jagiellonian University, Czerwone Maki 98, 30-392 Krakow, Poland.
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3
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Zamani E, Ksantini N, Sheehy G, Ember KJI, Baloukas B, Zabeida O, Trang T, Mahfoud M, Sapieha JE, Martinu L, Leblond F. Spectral effects and enhancement quantification in healthy human saliva with surface-enhanced Raman spectroscopy using silver nanopillar substrates. Lasers Surg Med 2024; 56:206-217. [PMID: 38073098 DOI: 10.1002/lsm.23746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 02/21/2024]
Abstract
OBJECTIVES Raman spectroscopy as a diagnostic tool for biofluid applications is limited by low inelastic scattering contributions compared to the fluorescence background from biomolecules. Surface-enhanced Raman spectroscopy (SERS) can increase Raman scattering signals, thereby offering the potential to reduce imaging times. We aimed to evaluate the enhancement related to the plasmonic effect and quantify the improvements in terms of spectral quality associated with SERS measurements in human saliva. METHODS Dried human saliva was characterized using spontaneous Raman spectroscopy and SERS. A fabrication protocol was implemented leading to the production of silver (Ag) nanopillar substrates by glancing angle deposition. Two different imaging systems were used to interrogate saliva from 161 healthy donors: a custom single-point macroscopic system and a Raman micro-spectroscopy instrument. Quantitative metrics were established to compare spontaneous RS and SERS measurements: the Raman spectroscopy quality factor (QF), the photonic count rate (PR), the signal-to-background ratio (SBR). RESULTS SERS measurements acquired with an excitation energy four times smaller than with spontaneous RS resulted in improved QF, PR values an order of magnitude larger and a SBR twice as large. The SERS enhancement reached 100×, depending on which Raman bands were considered. CONCLUSIONS Single-point measurement of dried saliva with silver nanopillars substrates led to reproducible SERS measurements, paving the way to real-time tools of diagnosis in human biofluids.
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Affiliation(s)
- Esmat Zamani
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Nassim Ksantini
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Guillaume Sheehy
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Katherine J I Ember
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Bill Baloukas
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
| | - Oleg Zabeida
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
| | - Tran Trang
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | - Myriam Mahfoud
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
| | | | - Ludvik Martinu
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
| | - Frédéric Leblond
- Department of Engineering Physics, Polytechnique Montreal, Montréal, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada
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Mosca S, Lanka P, Stone N, Konugolu Venkata Sekar S, Matousek P, Valentini G, Pifferi A. Optical characterization of porcine tissues from various organs in the 650-1100 nm range using time-domain diffuse spectroscopy. BIOMEDICAL OPTICS EXPRESS 2020; 11:1697-1706. [PMID: 32206436 PMCID: PMC7075607 DOI: 10.1364/boe.386349] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/14/2020] [Accepted: 02/14/2020] [Indexed: 05/10/2023]
Abstract
We present a systematic characterization of the optical properties (µa and µs') of nine representative ex vivo porcine tissues over a broadband spectrum (650-1100 nm). We applied time-resolved diffuse optical spectroscopy measurements for recovering the optical properties of porcine tissues depicting a realistic representation of the tissue heterogeneity and morphology likely to be found in different ex vivo tissues. The results demonstrate a large spectral and inter-tissue variation of optical properties. The data can be exploited for planning or simulating ex vivo experiments with various biophotonics techniques, or even to construct artificial structures mimicking specific pathologies exploiting the wide assortment in optical properties.
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Affiliation(s)
- Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UK Research and Innovation, Harwell Campus, OX11 0QX, United Kingdom
- These authors contributed equally to this research
| | - Pranav Lanka
- Dipartimento di Fisica, Politecnico di Milano, Milano, Italy
- These authors contributed equally to this research
| | - Nick Stone
- School of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, United Kingdom
| | | | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UK Research and Innovation, Harwell Campus, OX11 0QX, United Kingdom
| | - Gianluca Valentini
- Dipartimento di Fisica, Politecnico di Milano, Milano, Italy
- Consiglio Nazionale delle Ricerche, Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | - Antonio Pifferi
- Dipartimento di Fisica, Politecnico di Milano, Milano, Italy
- Consiglio Nazionale delle Ricerche, Istituto di Fotonica e Nanotecnologie, Milano, Italy
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5
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Abstract
This is a review of relevant Raman spectroscopy (RS) techniques and their use in structural biology, biophysics, cells, and tissues imaging towards development of various medical diagnostic tools, drug design, and other medical applications. Classical and contemporary structural studies of different water-soluble and membrane proteins, DNA, RNA, and their interactions and behavior in different systems were analyzed in terms of applicability of RS techniques and their complementarity to other corresponding methods. We show that RS is a powerful method that links the fundamental structural biology and its medical applications in cancer, cardiovascular, neurodegenerative, atherosclerotic, and other diseases. In particular, the key roles of RS in modern technologies of structure-based drug design are the detection and imaging of membrane protein microcrystals with the help of coherent anti-Stokes Raman scattering (CARS), which would help to further the development of protein structural crystallography and would result in a number of novel high-resolution structures of membrane proteins—drug targets; and, structural studies of photoactive membrane proteins (rhodopsins, photoreceptors, etc.) for the development of new optogenetic tools. Physical background and biomedical applications of spontaneous, stimulated, resonant, and surface- and tip-enhanced RS are also discussed. All of these techniques have been extensively developed during recent several decades. A number of interesting applications of CARS, resonant, and surface-enhanced Raman spectroscopy methods are also discussed.
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6
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Biochemical Changes in Human Cells Exposed to Low Concentrations of Gold Nanoparticles Detected by Raman Microspectroscopy. SENSORS 2019; 19:s19102418. [PMID: 31137864 PMCID: PMC6566781 DOI: 10.3390/s19102418] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 05/16/2019] [Accepted: 05/24/2019] [Indexed: 12/27/2022]
Abstract
The toxicological implications of nanoparticles deserve accurate scientific investigation for the protection of human health. Although toxic effects involve specific organs, the events that cause them have their origin from biochemical modifications of some cellular constituents. Therefore, a first analysis to evaluate the effects due to the action of nanoparticles is achieved by investigation of in vitro cells, which allows the identification of the cellular modifications caused by nanoparticles (NPs) even at much lower doses than the lethal ones. This work evaluated the Raman microspectroscopy capability to monitor biochemical changes occurring in human cells as a consequence of exposure to a suspension of gold nanoparticles with a non-cytotoxic concentration. Human keratinocyte cells were used as a model cell line, because they are mainly involved in environmental exposure. A trypan blue assay revealed that the investigated concentration, 650 ng/mL, is non-cytotoxic (about 5% of cells died after 48 h exposure). Specific Raman spectral markers to represent the cell response to nanoparticle exposure were found (at 1450 and 2865 cm-1) in the cytoplasm spectra, with the aid of ratiometric and principal component analysis.
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7
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Isabelle M, Dorney J, Lewis A, Lloyd GR, Old O, Shepherd N, Rodriguez-Justo M, Barr H, Lau K, Bell I, Ohrel S, Thomas G, Stone N, Kendall C. Multi-centre Raman spectral mapping of oesophageal cancer tissues: a study to assess system transferability. Faraday Discuss 2018; 187:87-103. [PMID: 27048868 DOI: 10.1039/c5fd00183h] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The potential for Raman spectroscopy to provide early and improved diagnosis on a wide range of tissue and biopsy samples in situ is well documented. The standard histopathology diagnostic methods of reviewing H&E and/or immunohistochemical (IHC) stained tissue sections provides valuable clinical information, but requires both logistics (review, analysis and interpretation by an expert) and costly processing and reagents. Vibrational spectroscopy offers a complimentary diagnostic tool providing specific and multiplexed information relating to molecular structure and composition, but is not yet used to a significant extent in a clinical setting. One of the challenges for clinical implementation is that each Raman spectrometer system will have different characteristics and therefore spectra are not readily compatible between systems. This is essential for clinical implementation where classification models are used to compare measured biochemical or tissue spectra against a library training dataset. In this study, we demonstrate the development and validation of a classification model to discriminate between adenocarcinoma (AC) and non-cancerous intraepithelial metaplasia (IM) oesophageal tissue samples, measured on three different Raman instruments across three different locations. Spectra were corrected using system transfer spectral correction algorithms including wavenumber shift (offset) correction, instrument response correction and baseline removal. The results from this study indicate that the combined correction methods do minimize the instrument and sample quality variations within and between the instrument sites. However, more tissue samples of varying pathology states and greater tissue area coverage (per sample) are needed to properly assess the ability of Raman spectroscopy and system transferability algorithms over multiple instrument sites.
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Affiliation(s)
- M Isabelle
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
| | - J Dorney
- Biomedical Spectroscopy, School of Physics, University of Exeter, UK
| | - A Lewis
- Department of Cell and Developmental Biology, University College London, London, UK
| | - G R Lloyd
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
| | - O Old
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
| | - N Shepherd
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
| | - M Rodriguez-Justo
- Department of Cell and Developmental Biology, University College London, London, UK
| | - H Barr
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
| | - K Lau
- Spectroscopy Products Division, Renishaw plc, Wotton-Under-Edge, Gloucestershire, UK
| | - I Bell
- Spectroscopy Products Division, Renishaw plc, Wotton-Under-Edge, Gloucestershire, UK
| | - S Ohrel
- Spectroscopy Products Division, Renishaw plc, Wotton-Under-Edge, Gloucestershire, UK
| | - G Thomas
- Department of Cell and Developmental Biology, University College London, London, UK
| | - N Stone
- Biomedical Spectroscopy, School of Physics, University of Exeter, UK
| | - C Kendall
- Biophotonics Research Unit and Pathology Department, Gloucestershire Hospitals NHS Foundation Trust, Gloucester, UK.
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8
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Upchurch E, Isabelle M, Lloyd GR, Kendall C, Barr H. An update on the use of Raman spectroscopy in molecular cancer diagnostics: current challenges and further prospects. Expert Rev Mol Diagn 2018; 18:245-258. [DOI: 10.1080/14737159.2018.1439739] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Emma Upchurch
- Department of Upper GI Surgery, Gloucestershire Royal Hospital, Gloucester
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
| | | | - Gavin Rhys Lloyd
- Phenome Centre Birmingham, School of Biosciences, University of Birmingham
| | - Catherine Kendall
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
| | - Hugh Barr
- Department of Upper GI Surgery, Gloucestershire Royal Hospital, Gloucester
- Biophotonics Research Unit, Gloucestershire Royal Hospital, Gloucester
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Lin K, Zheng W, Lim CM, Huang Z. Real-time In vivo Diagnosis of Nasopharyngeal Carcinoma Using Rapid Fiber-Optic Raman Spectroscopy. Am J Cancer Res 2017; 7:3517-3526. [PMID: 28912892 PMCID: PMC5596440 DOI: 10.7150/thno.16359] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 07/23/2017] [Indexed: 12/17/2022] Open
Abstract
We report the utility of a simultaneous fingerprint (FP) (i.e., 800-1800 cm-1) and high-wavenumber (HW) (i.e., 2800-3600 cm-1) fiber-optic Raman spectroscopy developed for real-time in vivo diagnosis of nasopharyngeal carcinoma (NPC) at endoscopy. A total of 3731 high-quality in vivo FP/HW Raman spectra (normal=1765; cancer=1966) were acquired in real-time from 204 tissue sites (normal=95; cancer=109) of 95 subjects (normal=57; cancer=38) undergoing endoscopic examination. FP/HW Raman spectra differ significantly between normal and cancerous nasopharyngeal tissues that could be attributed to changes of proteins, lipids, nucleic acids, and the bound water content in NPC. Principal components analysis (PCA) and linear discriminant analysis (LDA) together with leave-one subject-out, cross-validation (LOO-CV) were implemented to develop robust Raman diagnostic models. The simultaneous FP/HW Raman spectroscopy technique together with PCA-LDA and LOO-CV modeling provides a diagnostic accuracy of 93.1% (sensitivity of 93.6%; specificity of 92.6%) for nasopharyngeal cancer identification, which is superior to using either FP (accuracy of 89.2%; sensitivity of 89.9%; specificity of 88.4%) or HW (accuracy of 89.7%; sensitivity of 89.0%; specificity of 90.5%) Raman technique alone. Further receiver operating characteristic (ROC) analysis reconfirms the best performance of the simultaneous FP/HW Raman technique for in vivo diagnosis of NPC. This work demonstrates for the first time that simultaneous FP/HW fiber-optic Raman spectroscopy technique has great promise for enhancing real-time in vivo cancer diagnosis in the nasopharynx during endoscopic examination.
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Chen K, Wu T, Wei H, Zhou T, Li Y. Quantitative chemical imaging with background-free multiplex coherent anti-Stokes Raman scattering by dual-soliton Stokes pulses. BIOMEDICAL OPTICS EXPRESS 2016; 7:3927-3939. [PMID: 27867704 PMCID: PMC5102528 DOI: 10.1364/boe.7.003927] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 08/31/2016] [Accepted: 08/31/2016] [Indexed: 05/25/2023]
Abstract
Coherent anti-Stokes Raman microscopy (CARS) is a quantitative, chemically specific, and label-free optical imaging technique for studying inhomogeneous systems. However, the complicating influence of the nonresonant response on the CARS signal severely limits its sensitivity and specificity and especially limits the extent to which CARS microscopy has been used as a fully quantitative imaging technique. On the basis of spectral focusing mechanism, we establish a dual-soliton Stokes based CARS microspectroscopy and microscopy scheme capable of quantifying the spatial information of densities and chemical composition within inhomogeneous samples, using a single fiber laser. Dual-soliton Stokes scheme not only removes the nonresonant background but also allows robust acquisition of multiple characteristic vibrational frequencies. This all-fiber based laser source can cover the entire fingerprint (800-2200 cm-1) region with a spectral resolution of 15 cm-1. We demonstrate that quantitative degree determination of lipid-chain unsaturation in the fatty acids mixture can be achieved by the characterization of C = C stretching and CH2 deformation vibrations. For microscopy purposes, we show that the spatially inhomogeneous distribution of lipid droplets can be further quantitatively visualized using this quantified degree of lipid unsaturation in the acyl chain for contrast in the hyperspectral CARS images. The combination of compact excitation source and background-free capability to facilitate extraction of quantitative composition information with multiplex spectral peaks will enable wider applications of quantitative chemical imaging in studying biological and material systems.
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Affiliation(s)
- Kun Chen
- Key Lab of Precision Measurement Technology & Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Tao Wu
- Key Lab of Precision Measurement Technology & Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Haoyun Wei
- Key Lab of Precision Measurement Technology & Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Tian Zhou
- Key Lab of Precision Measurement Technology & Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yan Li
- Key Lab of Precision Measurement Technology & Instrument, Department of Precision Instrument, Tsinghua University, Beijing 100084, China
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11
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Lin K, Zheng W, Lim CM, Huang Z. Real-time in vivo diagnosis of laryngeal carcinoma with rapid fiber-optic Raman spectroscopy. BIOMEDICAL OPTICS EXPRESS 2016; 7:3705-3715. [PMID: 27699131 PMCID: PMC5030043 DOI: 10.1364/boe.7.003705] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 08/23/2016] [Accepted: 08/23/2016] [Indexed: 05/05/2023]
Abstract
We assess the clinical utility of a unique simultaneous fingerprint (FP) (i.e., 800-1800 cm-1) and high-wavenumber (HW) (i.e., 2800-3600 cm-1) fiber-optic Raman spectroscopy for in vivo diagnosis of laryngeal cancer at endoscopy. A total of 2124 high-quality in vivo FP/HW Raman spectra (normal = 1321; cancer = 581) were acquired from 101 tissue sites (normal = 71; cancer = 30) of 60 patients (normal = 44; cancer = 16) undergoing routine endoscopic examination. FP/HW Raman spectra differ significantly between normal and cancerous laryngeal tissue that could be attributed to changes of proteins, lipids, nucleic acids, and the bound water content in the larynx. Partial least squares-discriminant analysis and leave-one tissue site-out, cross-validation were employed on the in vivo FP/HW tissue Raman spectra acquired, yielding a diagnostic accuracy of 91.1% (sensitivity: 93.3% (28/30); specificity: 90.1% (64/71)) for laryngeal cancer identification, which is superior to using either FP (accuracy: 86.1%; sensitivity: 86.7% (26/30); specificity: 85.9% (61/71)) or HW (accuracy: 84.2%; sensitivity: 76.7% (23/30); specificity: 87.3% (62/71)) Raman technique alone. Further receiver operating characteristic analysis reconfirms the best performance of the simultaneous FP/HW Raman technique for laryngeal cancer diagnosis. We demonstrate for the first time that the simultaneous FP/HW Raman spectroscopy technique can be used for improving real-time in vivo diagnosis of laryngeal carcinoma during endoscopic examination.
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Affiliation(s)
- Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, 117576 Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 119260 Singapore
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, 117576 Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 119260 Singapore
| | - Chwee Ming Lim
- Department of Otolaryngology, Head and Neck Surgery, National University of Singapore and National University Health System, 119074 Singapore
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, 117576 Singapore
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12
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Henry AI, Sharma B, Cardinal MF, Kurouski D, Van Duyne RP. Surface-Enhanced Raman Spectroscopy Biosensing: In Vivo Diagnostics and Multimodal Imaging. Anal Chem 2016; 88:6638-47. [PMID: 27268724 DOI: 10.1021/acs.analchem.6b01597] [Citation(s) in RCA: 132] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This perspective presents recent developments in the application of surface-enhanced Raman spectroscopy (SERS) to biosensing, with a focus on in vivo diagnostics. We describe the concepts and methodologies developed to date and the target analytes that can be detected. We also discuss how SERS has evolved from a "point-and-shoot" stand-alone technique in an analytical chemistry laboratory to an integrated quantitative analytical tool for multimodal imaging diagnostics. Finally, we offer a guide to the future of SERS in the context of clinical diagnostics.
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Affiliation(s)
- Anne-Isabelle Henry
- Northwestern University , Department of Chemistry, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - Bhavya Sharma
- Northwestern University , Department of Chemistry, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - M Fernanda Cardinal
- Northwestern University , Department of Chemistry, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - Dmitry Kurouski
- Northwestern University , Department of Chemistry, 2145 Sheridan Road, Evanston, Illinois 60208, United States
| | - Richard P Van Duyne
- Northwestern University , Department of Chemistry, 2145 Sheridan Road, Evanston, Illinois 60208, United States
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13
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Wang J, Lin K, Zheng W, Ho KY, Teh M, Yeoh KG, Huang Z. Fiber-optic Raman spectroscopy for in vivo diagnosis of gastric dysplasia. Faraday Discuss 2016; 187:377-392. [DOI: 10.1039/c5fd00151j] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
This study aims to assess the clinical utility of a rapid fiber-optic Raman spectroscopy technique developed for enhancingin vivodiagnosis of gastric precancer during endoscopic examination. We have developed a real-time fiber-optic Raman spectroscopy system capable of simultaneously acquiring both fingerprint (FP) (i.e., 800–1800 cm−1) and high-wavenumber (HW) (i.e., 2800–3600 cm−1) Raman spectra from gastric tissuein vivoat endoscopy. A total of 5792 high-qualityin vivoFP/HW Raman spectra (normal (n= 5160); dysplasia (n= 155), and adenocarcinoma (n= 477)) were acquired in real-time from 441 tissue sites (normal (n= 396); dysplasia (n= 11), and adenocarcinoma (n= 34)) of 191 gastric patients (normal (n= 172); dysplasia (n= 6), and adenocarcinoma (n= 13)) undergoing routine endoscopic examinations. Partial least squares discriminant analysis (PLS-DA) together with leave-one-patient-out cross validation (LOPCV) were implemented to develop robust spectral diagnostic models. The FP/HW Raman spectra differ significantly between normal, dysplasia and adenocarcinoma of the stomach, which can be attributed to changes in proteins, lipids, nucleic acids, and the bound water content. PLS-DA and LOPCV show that the fiber-optic FP/HW Raman spectroscopy provides diagnostic sensitivities of 96.0%, 81.8% and 88.2%, and specificities of 86.7%, 95.3% and 95.6%, respectively, for the classification of normal, dysplastic and cancerous gastric tissue, superior to either the FP or HW Raman techniques alone. Further dichotomous PLS-DA analysis yields a sensitivity of 90.9% (10/11) and specificity of 95.9% (380/396) for the detection of gastric dysplasia using FP/HW Raman spectroscopy, substantiating its clinical advantages over white light reflectance endoscopy (sensitivity: 90.9% (10/11), and specificity: 51.0% (202/396)). This work demonstrates that the fiber-optic FP/HW Raman spectroscopy technique has great promise for enhancingin vivodiagnosis of gastric precancer during routine endoscopic examination.
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Affiliation(s)
- Jianfeng Wang
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- Singapore 117576
| | - Kan Lin
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- Singapore 117576
| | - Wei Zheng
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- Singapore 117576
| | - Khek Yu Ho
- Department of Medicine
- Yong Loo Lin School of Medicine
- National University of Singapore
- National University Health System
- Singapore 119260
| | - Ming Teh
- Department of Pathology
- Yong Loo Lin School of Medicine
- National University of Singapore
- National University Health System
- Singapore 119074
| | - Khay Guan Yeoh
- Department of Medicine
- Yong Loo Lin School of Medicine
- National University of Singapore
- National University Health System
- Singapore 119260
| | - Zhiwei Huang
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- Singapore 117576
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Abstract
Raman spectroscopy is increasingly investigated for cancer diagnosis. As the potential of the technique is explored and realized, it is slowly making its way into clinics. There are more reports in recent years showing promise that it can help clinicians for cancer diagnosis. However, a number of challenges remain to be overcome, especially in vivo cancer diagnosis. In this article, the recent progress of the technique toward clinical cancer diagnosis is discussed from a critical perspective.
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15
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Coello B, López-Álvarez M, Rodríguez-Domínguez M, Serra J, González P. Quantitative evaluation of the mineralization level of dental tissues by Raman spectroscopy. Biomed Phys Eng Express 2015. [DOI: 10.1088/2057-1976/1/4/045204] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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16
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Wang J, Lin K, Zheng W, Ho KY, Teh M, Yeoh KG, Huang Z. Simultaneous fingerprint and high-wavenumber fiber-optic Raman spectroscopy improves in vivo diagnosis of esophageal squamous cell carcinoma at endoscopy. Sci Rep 2015; 5:12957. [PMID: 26243571 PMCID: PMC4525386 DOI: 10.1038/srep12957] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Accepted: 07/13/2015] [Indexed: 12/11/2022] Open
Abstract
This work aims to evaluate clinical value of a fiber-optic Raman spectroscopy
technique developed for in vivo diagnosis of esophageal squamous cell
carcinoma (ESCC) during clinical endoscopy. We have developed a rapid fiber-optic
Raman endoscopic system capable of simultaneously acquiring both fingerprint
(FP)(800–1800 cm−1) and
high-wavenumber
(HW)(2800–3600 cm−1) Raman
spectra from esophageal tissue in vivo. A total of 1172 in vivo FP/HW
Raman spectra were acquired from 48 esophageal patients undergoing endoscopic
examination. The total Raman dataset was split into two parts: 80% for training;
while 20% for testing. Partial least squares-discriminant analysis (PLS-DA) and
leave-one patient-out, cross validation (LOPCV) were implemented on training dataset
to develop diagnostic algorithms for tissue classification. PLS-DA-LOPCV shows that
simultaneous FP/HW Raman spectroscopy on training dataset provides a diagnostic
sensitivity of 97.0% and specificity of 97.4% for ESCC classification. Further, the
diagnostic algorithm applied to the independent testing dataset based on
simultaneous FP/HW Raman technique gives a predictive diagnostic sensitivity of
92.7% and specificity of 93.6% for ESCC identification, which is superior to either
FP or HW Raman technique alone. This work demonstrates that the simultaneous FP/HW
fiber-optic Raman spectroscopy technique improves real-time in vivo diagnosis
of esophageal neoplasia at endoscopy.
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Affiliation(s)
- Jianfeng Wang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
| | - Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
| | - Khek Yu Ho
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119260
| | - Ming Teh
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119074
| | - Khay Guan Yeoh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore 119260
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117576
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17
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Endoscopic Raman Spectroscopy for Molecular Fingerprinting of Gastric Cancer: Principle to Implementation. BIOMED RESEARCH INTERNATIONAL 2015; 2015:670121. [PMID: 26106612 PMCID: PMC4461730 DOI: 10.1155/2015/670121] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2014] [Revised: 03/25/2015] [Accepted: 03/30/2015] [Indexed: 12/24/2022]
Abstract
Currently, positive endoscopic biopsy is the standard criterion for gastric cancer diagnosis but is invasive, often inconsistent, and delayed although early detection and early treatment is the most important policy. Raman spectroscopy is a spectroscopic technique based on inelastic scattering of monochromatic light. Raman spectrum represents molecular composition of the interrogated volume providing a direct molecular fingerprint. Several investigations revealed that Raman spectroscopy can differentiate normal, dysplastic, and adenocarcinoma gastric tissue with high sensitivity and specificity. Moreover, this technique can indentify malignant ulcer and showed the capability to analyze the carcinogenesis process. Automated on-line Raman spectral diagnostic system raised possibility to use Raman spectroscopy in clinical field. Raman spectroscopy can be applied in many fields such as guiding a target biopsy, optical biopsy in bleeding prone situation, and delineating the margin of the lesion. With wide field technology, Raman spectroscopy is expected to have specific role in our future clinical field.
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18
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Wang J, Lin K, Zheng W, Ho KY, Teh M, Yeoh KG, Huang Z. Comparative study of the endoscope-based bevelled and volume fiber-optic Raman probes for optical diagnosis of gastric dysplasia in vivo at endoscopy. Anal Bioanal Chem 2015; 407:8303-10. [DOI: 10.1007/s00216-015-8727-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 03/05/2015] [Accepted: 04/17/2015] [Indexed: 10/23/2022]
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19
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Samuel AZ, Yabumoto S, Kawamura K, Iwata K. Rapid microstructure characterization of polymer thin films with 2D-array multifocus Raman microspectroscopy. Analyst 2015; 140:1847-51. [DOI: 10.1039/c4an01983k] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Multifocus Raman imaging is one of the fast-imaging alternatives to the conventional single point mapping technique.
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Affiliation(s)
| | | | | | - Koichi Iwata
- Department of Chemistry
- Faculty of Science
- Gakushuin University
- Toshima-ku
- Japan
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20
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Huang J, Liu S, Chen Z, Chen N, Pang F, Wang T. Distinguishing Cancerous Liver Cells Using Surface-Enhanced Raman Spectroscopy. Technol Cancer Res Treat 2014; 15:36-43. [DOI: 10.1177/1533034614561358] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Accepted: 10/31/2014] [Indexed: 11/16/2022] Open
Abstract
Raman spectroscopy has been widely used in biomedical research and clinical diagnostics. It possesses great potential for the analysis of biochemical processes in cell studies. In this article, the surface-enhanced Raman spectroscopy (SERS) of normal and cancerous liver cells incubated with SERS active substrates (gold nanoparticle) was measured using confocal Raman microspectroscopy technology. The chemical components of the cells were analyzed through statistical methods for the SERS spectrum. Both the relative intensity ratio and principal component analysis (PCA) were used for distinguishing the normal liver cells (QSG-7701) from the hepatoma cells (SMMC-7721). The relative intensity ratio of the Raman spectra peaks such as I937/I1209, I1276/I1308, I1342/I1375, and I1402/I1435 was set as the judge boundary, and the sensitivity and the specificity using PCA method were calculated. The results indicated that the surface-enhanced Raman spectrum could provide the chemical information for distinguishing the normal cells from the cancerous liver cells and demonstrated that SERS technology possessed the possible applied potential for the diagnosis of liver cancer.
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Affiliation(s)
- Jing Huang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
| | - Shupeng Liu
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
- Institute of Biomedical Engineering, Shanghai University, Shanghai, PR China
| | - Zhenyi Chen
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
| | - Na Chen
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
| | - Fufei Pang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
| | - Tingyun Wang
- Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai, PR China
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21
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Lloyd GR, Almond LM, Stone N, Shepherd N, Sanders S, Hutchings J, Barr H, Kendall C. Utilising non-consensus pathology measurements to improve the diagnosis of oesophageal cancer using a Raman spectroscopic probe. Analyst 2014; 139:381-8. [DOI: 10.1039/c3an01163a] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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22
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Endoscopic Raman spectroscopy enables objective diagnosis of dysplasia in Barrett's esophagus. Gastrointest Endosc 2014; 79:37-45. [PMID: 23886354 DOI: 10.1016/j.gie.2013.05.028] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Accepted: 05/22/2013] [Indexed: 12/20/2022]
Abstract
BACKGROUND Early detection and targeted endoscopic resection of Barrett's esophagus-associated high-grade dysplasia (HGD) can prevent progression to invasive esophageal malignancy. Raman spectroscopy, a highly sophisticated analytical technique, has been translated into an endoscopic tool to facilitate rapid, objective diagnosis of dysplasia in the esophagus. OBJECTIVE To evaluate the ability of endoscopic Raman spectroscopy (ERS) to objectively detect esophageal HGD and adenocarcinoma. DESIGN A total of 798 one-second spectra were measured from 673 ex vivo esophageal tissue samples, collected from patients with Barrett's esophagus by using a novel endoscopic Raman probe. Spectra were correlated with consensus histopathology. Multivariate analysis was used to evaluate the classification accuracy of ERS ex vivo. SETTING Probe measurements were conducted in the laboratory. Tissue specimens were collected from the operating theatre and endoscopy unit. PATIENTS Tissue from 62 patients was included in the study. INTERVENTIONS Endoscopic biopsy/resection or esophagectomy was performed where indicated clinically. MAIN OUTCOME MEASUREMENT Diagnostic performance of ERS for detection of HGD and esophageal adenocarcinoma. RESULTS ERS demonstrated a sensitivity of 86% and a specificity of 88% for detecting HGD and adenocarcinoma. The ability to grade dysplasia and differentiate intestinal metaplasia from nonintestinal metaplasia columnar-lined esophagus was also demonstrated. Diagnostic classification was based on objective measurement of the biochemical profile of different tissue types. The potential for combination ERS and narrow-band imaging was also demonstrated. LIMITATIONS Measurements were taken from ex vivo tissue. CONCLUSION ERS enables rapid, accurate, objective diagnosis of superficial esophageal disease (metaplasia, dysplasia, intramucosal cancer) in clinically applicable time scales.
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23
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Sturm MB, Joshi BP, Lu S, Piraka C, Khondee S, Elmunzer BJ, Kwon RS, Beer DG, Appelman HD, Turgeon DK, Wang TD. Targeted imaging of esophageal neoplasia with a fluorescently labeled peptide: first-in-human results. Sci Transl Med 2013; 5:184ra61. [PMID: 23658246 DOI: 10.1126/scitranslmed.3004733] [Citation(s) in RCA: 122] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Esophageal adenocarcinoma is rising rapidly in incidence and usually develops from Barrett's esophagus, a precursor condition commonly found in patients with chronic acid reflux. Premalignant lesions are challenging to detect on conventional screening endoscopy because of their flat appearance. Molecular changes can be used to improve detection of early neoplasia. We have developed a peptide that binds specifically to high-grade dysplasia and adenocarcinoma. We first applied the peptide ex vivo to esophageal specimens from 17 patients to validate specific binding. Next, we performed confocal endomicroscopy in vivo in 25 human subjects after topical peptide administration and found 3.8-fold greater fluorescence intensity for esophageal neoplasia compared with Barrett's esophagus and squamous epithelium with 75% sensitivity and 97% specificity. No toxicity was attributed to the peptide in either animal or patient studies. Therefore, our first-in-human results show that this targeted imaging agent is safe and may be useful for guiding tissue biopsy and for early detection of esophageal neoplasia and potentially other cancers of epithelial origin, such as bladder, colon, lung, pancreas, and stomach.
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Affiliation(s)
- Matthew B Sturm
- Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
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24
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Obinaju BE, Martin FL. Novel biospectroscopy sensor technologies towards environmental health monitoring in urban environments. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2013; 183:46-53. [PMID: 23257285 DOI: 10.1016/j.envpol.2012.11.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Revised: 11/15/2012] [Accepted: 11/18/2012] [Indexed: 06/01/2023]
Abstract
Biospectroscopy is an emerging inter-disciplinary field that exploits the application of sensor technologies [e.g., Fourier-transform infrared spectroscopy, Raman spectroscopy] to lend novel insights into biological questions. Methods involved are relatively non-destructive so samples can subsequently be analysed by more conventional approaches, facilitating deeper mechanistic insights. Fingerprint spectra are derived and these consist of wavenumber-absorbance intensities; within a typical biological experiment, a complex dataset is quickly generated. Biological samples range from biofluids to cytology to tissues derived from human or sentinel sources, and analyses can be carried out ex vivo or in situ in living tissue. A reference range of a designated normal state can be derived; anything outside this is potentially atypical and discriminating chemical entities identified. Computational approaches allow one to minimize within-category confounding factors. Because of ease of sample preparation, low-cost and high-throughput capability, biospectroscopy approaches herald a new greener means of environmental health monitoring in urban environments.
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Affiliation(s)
- Blessing E Obinaju
- Centre for Biophotonics, Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
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25
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Diem M, Mazur A, Lenau K, Schubert J, Bird B, Miljković M, Krafft C, Popp J. Molecular pathology via IR and Raman spectral imaging. JOURNAL OF BIOPHOTONICS 2013; 6:855-86. [PMID: 24311233 DOI: 10.1002/jbio.201300131] [Citation(s) in RCA: 126] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 09/03/2013] [Indexed: 05/21/2023]
Abstract
During 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.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis LSpD, Department of Chemistry & Chemical Biology, Northeastern University, Boston, MA 02115, USA
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26
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Diagnosis of tumors during tissue-conserving surgery with integrated autofluorescence and Raman scattering microscopy. Proc Natl Acad Sci U S A 2013; 110:15189-94. [PMID: 24003124 DOI: 10.1073/pnas.1311289110] [Citation(s) in RCA: 155] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Tissue-conserving surgery is used increasingly in cancer treatment. However, one of the main challenges in this type of surgery is the detection of tumor margins. Histopathology based on tissue sectioning and staining has been the gold standard for cancer diagnosis for more than a century. However, its use during tissue-conserving surgery is limited by time-consuming tissue preparation steps (1-2 h) and the diagnostic variability inherent in subjective image interpretation. Here, we demonstrate an integrated optical technique based on tissue autofluorescence imaging (high sensitivity and high speed but low specificity) and Raman scattering (high sensitivity and high specificity but low speed) that can overcome these limitations. Automated segmentation of autofluorescence images was used to select and prioritize the sampling points for Raman spectroscopy, which then was used to establish the diagnosis based on a spectral classification model (100% sensitivity, 92% specificity per spectrum). This automated sampling strategy allowed objective diagnosis of basal cell carcinoma in skin tissue samples excised during Mohs micrographic surgery faster than frozen section histopathology, and one or two orders of magnitude faster than previous techniques based on infrared or Raman microscopy. We also show that this technique can diagnose the presence or absence of tumors in unsectioned tissue layers, thus eliminating the need for tissue sectioning. This study demonstrates the potential of this technique to provide a rapid and objective intraoperative method to spare healthy tissue and reduce unnecessary surgery by determining whether tumor cells have been removed.
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27
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Bergner N, Medyukhina A, Geiger KD, Kirsch M, Schackert G, Krafft C, Popp J. Hyperspectral unmixing of Raman micro-images for assessment of morphological and chemical parameters in non-dried brain tumor specimens. Anal Bioanal Chem 2013; 405:8719-28. [DOI: 10.1007/s00216-013-7257-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 07/02/2013] [Accepted: 07/12/2013] [Indexed: 11/29/2022]
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28
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Kallaway C, Almond LM, Barr H, Wood J, Hutchings J, Kendall C, Stone N. Advances in the clinical application of Raman spectroscopy for cancer diagnostics. Photodiagnosis Photodyn Ther 2013; 10:207-19. [PMID: 23993846 DOI: 10.1016/j.pdpdt.2013.01.008] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Revised: 01/26/2013] [Accepted: 01/30/2013] [Indexed: 12/20/2022]
Abstract
Light interacts with tissue in a number of ways including, elastic and inelastic scattering, reflection and absorption, leading to fluorescence and phosphorescence. These interactions can be used to measure abnormal changes in tissue. Initial optical biopsy systems have potential to be used as an adjunct to current investigative techniques to improve the targeting of blind biopsy. Future prospects with molecular-specific techniques may enable objective optical detection providing a real-time, highly sensitive and specific measurement of the histological state of the tissue. Raman spectroscopy has the potential to identify markers associated with malignant change and could be used as diagnostic tool for the early detection of precancerous and cancerous lesions in vivo. The clinical requirements for an objective, non-invasive, real-time probe for the accurate and repeatable measurement of pathological state of the tissue are overwhelming. This paper discusses some of the recent advances in the field.
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Affiliation(s)
- Charlotte Kallaway
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester GL1 3NN, UK
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29
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Ellis DI, Cowcher DP, Ashton L, O'Hagan S, Goodacre R. Illuminating disease and enlightening biomedicine: Raman spectroscopy as a diagnostic tool. Analyst 2013; 138:3871-84. [PMID: 23722248 DOI: 10.1039/c3an00698k] [Citation(s) in RCA: 112] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The discovery of the Raman effect in 1928 not only aided fundamental understanding about the quantum nature of light and matter but also opened up a completely novel area of optics and spectroscopic research that is accelerating at a greater rate during the last decade than at any time since its inception. This introductory overview focuses on some of the most recent developments within this exciting field and how this has enabled and enhanced disease diagnosis and biomedical applications. We highlight a small number of stimulating high-impact studies in imaging, endoscopy, stem cell research, and other recent developments such as spatially offset Raman scattering amongst others. We hope this stimulates further interest in this already exciting field, by 'illuminating' some of the current research being undertaken by the latest in a very long line of dedicated experimentalists interested in the properties and potential beneficial applications of light.
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Affiliation(s)
- David I Ellis
- School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7ND, UK.
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30
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Taleb I, Thiéfin G, Gobinet C, Untereiner V, Bernard-Chabert B, Heurgué A, Truntzer C, Hillon P, Manfait M, Ducoroy P, Sockalingum GD. Diagnosis of hepatocellular carcinoma in cirrhotic patients: a proof-of-concept study using serum micro-Raman spectroscopy. Analyst 2013; 138:4006-14. [DOI: 10.1039/c3an00245d] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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31
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Duraipandian S, Zheng W, Ng J, Low JJH, Ilancheran A, Huang Z. Simultaneous fingerprint and high-wavenumber confocal Raman spectroscopy enhances early detection of cervical precancer in vivo. Anal Chem 2012; 84:5913-9. [PMID: 22724621 DOI: 10.1021/ac300394f] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Raman spectroscopy is a vibrational spectroscopic technique capable of nondestructively probing endogenous biomolecules and their changes associated with dysplastic transformation in the tissue. The main objectives of this study are (i) to develop a simultaneous fingerprint (FP) and high-wavenumber (HW) confocal Raman spectroscopy and (ii) to investigate its diagnostic utility for improving in vivo diagnosis of cervical precancer (dysplasia). We have successfully developed an integrated FP/HW confocal Raman diagnostic system with a ball-lens Raman probe for simultaneous acquistion of FP/HW Raman signals of the cervix in vivo within 1 s. A total of 476 in vivo FP/HW Raman spectra (356 normal and 120 precancer) are acquired from 44 patients at clinical colposcopy. The distinctive Raman spectral differences between normal and dysplastic cervical tissue are observed at ~854, 937, 1001, 1095, 1253, 1313, 1445, 1654, 2946, and 3400 cm(-1) mainly related to proteins, lipids, glycogen, nucleic acids and water content in tissue. Multivariate diagnostic algorithms developed based on partial least-squares-discriminant analysis (PLS-DA) together with the leave-one-patient-out, cross-validation yield the diagnostic sensitivities of 84.2%, 76.7%, and 85.0%, respectively; specificities of 78.9%, 73.3%, and 81.7%, respectively; and overall diagnostic accuracies of 80.3%, 74.2%, and 82.6%, respectively, using FP, HW, and integrated FP/HW Raman spectroscopic techniques for in vivo diagnosis of cervical precancer. Receiver operating characteristic (ROC) analysis further confirms the best performance of the integrated FP/HW confocal Raman technique, compared to FP or HW Raman spectroscopy alone. This work demonstrates, for the first time, that the simultaneous FP/HW confocal Raman spectroscopy has the potential to be a clinically powerful tool for improving early diagnosis and detection of cervical precancer in vivo during clinical colposcopic examination.
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Affiliation(s)
- Shiyamala Duraipandian
- Optical Bioimaging Laboratory, Department of Bioengineering, Faculty of Engineering, National University of Singapore, Singapore
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32
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Lin K, Cheng DLP, Huang Z. Optical diagnosis of laryngeal cancer using high wavenumber Raman spectroscopy. Biosens Bioelectron 2012; 35:213-217. [PMID: 22465448 DOI: 10.1016/j.bios.2012.02.050] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2011] [Revised: 02/21/2012] [Accepted: 02/23/2012] [Indexed: 12/20/2022]
Abstract
We report the implementation of the transnasal image-guided high wavenumber (HW) Raman spectroscopy to differentiate tumor from normal laryngeal tissue at endoscopy. A rapid-acquisition Raman spectroscopy system coupled with a miniaturized fiber-optic Raman probe was utilized to realize real-time HW Raman (2800-3020 cm(-1)) measurements in the larynx. A total of 94 HW Raman spectra (22 normal sites, 72 tumor sites) were acquired from 39 patients who underwent laryngoscopic screening. Significant differences in Raman intensities of prominent Raman bands at 2845, 2880 and 2920 cm(-1) (CH(2) stretching of lipids), and 2940 cm(-1) (CH(3) stretching of proteins) were observed between normal and cancer laryngeal tissue. The diagnostic algorithms based on principal components analysis (PCA) and linear discriminant analysis (LDA) together with the leave-one subject-out, cross-validation method on HW Raman spectra yielded a diagnostic sensitivity of 90.3% (65/72) and specificity of 90.9% (20/22) for laryngeal cancer identification. This study demonstrates that HW Raman spectroscopy has the potential for the noninvasive, real-time diagnosis and detection of laryngeal cancer at the molecular level.
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Affiliation(s)
- Kan Lin
- Optical Bioimaging Laboratory, Department of Bioengineering, Faculty of Engineering, National University of Singapore, Singapore 117576, Singapore
| | - David Lau Pang Cheng
- Department of Otolaryngology, Singapore General Hospital, Singapore 169608, Singapore
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Bioengineering, Faculty of Engineering, National University of Singapore, Singapore 117576, Singapore.
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