1
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Wu D, Fedorov Kukk A, Panzer R, Emmert S, Roth B. In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin. JOURNAL OF BIOPHOTONICS 2024; 17:e202400050. [PMID: 38932707 DOI: 10.1002/jbio.202400050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 04/25/2024] [Accepted: 05/03/2024] [Indexed: 06/28/2024]
Abstract
Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.
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Affiliation(s)
- Di Wu
- Hannover Centre for Optical Technologies, Leibniz University Hannover, Hanover, Germany
| | - Anatoly Fedorov Kukk
- Hannover Centre for Optical Technologies, Leibniz University Hannover, Hanover, Germany
| | | | | | - Bernhard Roth
- Hannover Centre for Optical Technologies, Leibniz University Hannover, Hanover, Germany
- Cluster of Excellence PhoenixD, Leibniz University Hannover, Hannover, Germany
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2
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Ghosh NK, Kumar A. Ultra-minimally invasive endoscopic techniques and colorectal diseases: Current status and its future. Artif Intell Gastrointest Endosc 2024; 5:91424. [DOI: 10.37126/aige.v5.i2.91424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/12/2024] [Accepted: 05/06/2024] [Indexed: 05/11/2024] Open
Abstract
Colorectal diseases are increasing due to altered lifestyle, genetic, and environmental factors. Colonoscopy plays an important role in diagnosis. Advances in colonoscope (ultrathin scope, magnetic scope, capsule) and technological gadgets (Balloon assisted scope, third eye retroscope, NaviAid G-EYE, dye-based chromoendoscopy, virtual chromoendoscopy, narrow band imaging, i-SCAN, etc.) have made colonoscopy more comfortable and efficient. Now in-vivo microscopy can be performed using confocal laser endomicroscopy, optical coherence tomography, spectroscopy, etc. Besides developments in diagnostic colonoscopy, therapeutic colonoscopy has improved to manage lower gastrointestinal tract bleeding, obstruction, perforations, resection polyps, and early colorectal cancers. The introduction of combined endo-laparoscopic surgery and robotic endoscopic surgery has made these interventions feasible. The role of artificial intelligence in the diagnosis and management of colorectal diseases is also increasing day by day. Hence, this article is to review cutting-edge developments in endoscopic principles for the management of colorectal diseases.
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Affiliation(s)
- Nalini Kanta Ghosh
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
| | - Ashok Kumar
- Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow 226014, Uttar Pradesh, India
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3
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Wang Y, Fang L, Wang Y, Xiong Z. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2300668. [PMID: 38072672 PMCID: PMC10870035 DOI: 10.1002/advs.202300668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 09/08/2023] [Indexed: 02/17/2024]
Abstract
Early clinical diagnosis, effective intraoperative guidance, and an accurate prognosis can lead to timely and effective medical treatment. The current conventional clinical methods have several limitations. Therefore, there is a need to develop faster and more reliable clinical detection, treatment, and monitoring methods to enhance their clinical applications. Raman spectroscopy is noninvasive and provides highly specific information about the molecular structure and biochemical composition of analytes in a rapid and accurate manner. It has a wide range of applications in biomedicine, materials, and clinical settings. This review primarily focuses on the application of Raman spectroscopy in clinical medicine. The advantages and limitations of Raman spectroscopy over traditional clinical methods are discussed. In addition, the advantages of combining Raman spectroscopy with machine learning, nanoparticles, and probes are demonstrated, thereby extending its applicability to different clinical phases. Examples of the clinical applications of Raman spectroscopy over the last 3 years are also integrated. Finally, various prospective approaches based on Raman spectroscopy in clinical studies are surveyed, and current challenges are discussed.
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Affiliation(s)
- Yumei Wang
- Department of NephrologyUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Liuru Fang
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
| | - Yuhua Wang
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
| | - Zuzhao Xiong
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
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4
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Goel A, Tsikritsis D, Belsey NA, Pendlington R, Glavin S, Chen T. Measurement of chemical penetration in skin using Stimulated Raman scattering microscopy and multivariate curve resolution - alternating least squares. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 296:122639. [PMID: 36989692 DOI: 10.1016/j.saa.2023.122639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/13/2023] [Accepted: 03/14/2023] [Indexed: 06/19/2023]
Abstract
The mechanistic understanding of skin penetration underpins the design, efficacy and risk assessment of many high-value products including functional personal care products, topical and transdermal drugs. Stimulated Raman scattering (SRS) microscopy, a label free chemical imaging tool, combines molecular spectroscopy with submicron spatial information to map the distribution of chemicals as they penetrate the skin. However, the quantification of penetration is hampered by significant interference from Raman signals of skin constituents. This study reports a method for disentangling exogeneous contributions and measuring their permeation profile through human skin combining SRS measurements with chemometrics. We investigated the spectral decomposition capability of multivariate curve resolution - alternating least squares (MCR-ALS) using hyperspectral SRS images of skin dosed with 4-cyanophenol. By performing MCR-ALS on the fingerprint region spectral data, the distribution of 4-cyanophenol in skin was estimated in an attempt to quantify the amount permeated at different depths. The reconstructed distribution was compared with the experimental mapping of CN, a strong vibrational peak in 4-cyanophenol where the skin is spectroscopically silent. The similarity between MCR-ALS resolved and experimental distribution in skin dosed for 4 h was 0.79 which improved to 0.91 for skin dosed for 1 h. The correlation was observed to be lower for deeper layers of skin where SRS signal intensity is low which is an indication of low sensitivity of SRS. This work is the first demonstration, to the best of our knowledge, of combining SRS imaging technique with spectral unmixing methods for direct observation and mapping of the chemical penetration and distribution in biological tissues.
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Affiliation(s)
- Anukrati Goel
- Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK
| | - Dimitrios Tsikritsis
- Chemical & Biological Sciences Department, National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, UK
| | - Natalie A Belsey
- Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK; Chemical & Biological Sciences Department, National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, UK
| | - Ruth Pendlington
- Unilever Safety & Environmental Assurance Centre, Colworth Science Park, Bedford, MK44 1LQ, UK
| | - Stephen Glavin
- Unilever Safety & Environmental Assurance Centre, Colworth Science Park, Bedford, MK44 1LQ, UK
| | - Tao Chen
- Department of Chemical and Process Engineering, University of Surrey, Guildford, GU2 7XH, UK.
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5
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Bouzy P, Lyburn ID, Pinder SE, Scott R, Mansfield J, Moger J, Greenwood C, Bouybayoune I, Cornford E, Rogers K, Stone N. Exploration of utility of combined optical photothermal infrared and Raman imaging for investigating the chemical composition of microcalcifications in breast cancer. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:1620-1630. [PMID: 36880909 PMCID: PMC10065137 DOI: 10.1039/d2ay01197b] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/21/2023] [Indexed: 06/02/2023]
Abstract
Microcalcifications play an important role in cancer detection. They are evaluated by their radiological and histological characteristics but it is challenging to find a link between their morphology, their composition and the nature of a specific type of breast lesion. Whilst there are some mammographic features that are either typically benign or typically malignant often the appearances are indeterminate. Here, we explore a large range of vibrational spectroscopic and multiphoton imaging techniques in order to gain more information about the composition of the microcalcifications. For the first time, we validated the presence of carbonate ions in the microcalcifications by O-PTIR and Raman spectroscopy at the same time, the same location and the same high resolution (0.5 μm). Furthermore, the use of multiphoton imaging allowed us to create stimulated Raman histology (SRH) images which mimic histological images with all chemical information. In conclusion, we established a protocol for efficiently analysing the microcalcifications by iteratively refining the area of interest.
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Affiliation(s)
- Pascaline Bouzy
- School of Physics and Astronomy, University of Exeter, Exeter, UK.
| | - Iain D Lyburn
- Cranfield Forensic Institute, Cranfield University, Shrivenham, UK
- Gloucestershire Hospitals NHS Foundation Trust, UK
| | - Sarah E Pinder
- King's College London, Comprehensive Cancer Centre at Guy's Hospital, London, UK
| | - Robert Scott
- Cranfield Forensic Institute, Cranfield University, Shrivenham, UK
| | | | - Julian Moger
- School of Physics and Astronomy, University of Exeter, Exeter, UK.
| | - Charlene Greenwood
- School of Chemical and Physical Sciences, Keele University, Keele, Staffordshire, UK
| | - Ihssane Bouybayoune
- King's College London, Comprehensive Cancer Centre at Guy's Hospital, London, UK
| | | | - Keith Rogers
- Cranfield Forensic Institute, Cranfield University, Shrivenham, UK
| | - Nick Stone
- School of Physics and Astronomy, University of Exeter, Exeter, UK.
- Gloucestershire Hospitals NHS Foundation Trust, UK
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Differentiating Follicular Thyroid Carcinoma and Thyroid Adenoma by Using Near-Infrared Surface-Enhanced Raman Spectroscopy. Indian J Surg 2023. [DOI: 10.1007/s12262-023-03666-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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7
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Wahl J, Klint E, Hallbeck M, Hillman J, Wårdell K, Ramser K. Impact of preprocessing methods on the Raman spectra of brain tissue. BIOMEDICAL OPTICS EXPRESS 2022; 13:6763-6777. [PMID: 36589553 PMCID: PMC9774863 DOI: 10.1364/boe.476507] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/04/2022] [Accepted: 11/10/2022] [Indexed: 06/01/2023]
Abstract
Delineating cancer tissue while leaving functional tissue intact is crucial in brain tumor resection. Despite several available aids, surgeons are limited by preoperative or subjective tools. Raman spectroscopy is a label-free optical technique with promising indications for tumor tissue identification. To allow direct comparisons between measurements preprocessing of the Raman signal is required. There are many recognized methods for preprocessing Raman spectra; however, there is no universal standard. In this paper, six different preprocessing methods were tested on Raman spectra (n > 900) from fresh brain tissue samples (n = 34). The sample cohort included both primary brain tumors, such as adult-type diffuse gliomas and meningiomas, as well as metastases of breast cancer. Each tissue sample was classified according to the CNS WHO 2021 guidelines. The six methods include both direct and iterative polynomial fitting, mathematical morphology, signal derivative, commercial software, and a neural network. Data exploration was performed using principal component analysis, t-distributed stochastic neighbor embedding, and k-means clustering. For each of the six methods, the parameter combination that explained the most variance in the data, i.e., resulting in the highest Gap-statistic, was chosen and compared to the other five methods. Depending on the preprocessing method, the resulting clusters varied in number, size, and associated spectral features. The detected features were associated with hemoglobin, neuroglobin, carotenoid, water, and protoporphyrin, as well as proteins and lipids. However, the spectral features seen in the Raman spectra could not be unambiguously assigned to tissue labels, regardless of preprocessing method. We have illustrated that depending on the chosen preprocessing method, the spectral appearance of Raman features from brain tumor tissue can change. Therefore, we argue both for caution in comparing spectral features from different Raman studies, as well as the importance of transparency of methodology and implementation of the preprocessing. As discussed in this study, Raman spectroscopy for in vivo guidance in neurosurgery requires fast and adaptive preprocessing. On this basis, a pre-trained neural network appears to be a promising approach for the operating room.
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Affiliation(s)
- Joel Wahl
- Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87, Luleå, Sweden
| | - Elisabeth Klint
- Department of Biomedical Engineering, Linköping University, 581 85 Linköping, Sweden
| | - Martin Hallbeck
- Department of Clinical Pathology and Biomedical and Clinical Sciences, Linköping University, 581 85 Linköping, Sweden
| | - Jan Hillman
- Department of Neurosurgery and Biomedical and Clinical Sciences, Linköping University, 581 85 Linköping, Sweden
| | - Karin Wårdell
- Department of Biomedical Engineering, Linköping University, 581 85 Linköping, Sweden
| | - Kerstin Ramser
- Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87, Luleå, Sweden
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8
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Lv R, Wang Z, Ma Y, Li W, Tian J. Machine Learning Enhanced Optical Spectroscopy for Disease Detection. J Phys Chem Lett 2022; 13:9238-9249. [PMID: 36173116 DOI: 10.1021/acs.jpclett.2c02193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Optical spectroscopy plays an important role in disease detection. Improving the sensitivity and specificity of spectral detection has great importance in the development of accurate diagnosis. The development of artificial intelligence technology provides a great opportunity to improve the detection accuracy through machine learning methods. In this Perspective, we focus on the combination of machine learning methods with the optical spectroscopy methods widely used for disease detection, including absorbance, fluorescence, scattering, FTIR, terahertz, etc. By comparing the spectral analysis with different machine learning methods, we illustrate that the support vector machine and convolutional neural network are most effective, which have potential to further improve the classification accuracy to distinguish disease subtypes if these machine learning methods are used. This Perspective broadens the scope of optical spectroscopy enhanced by machine learning and will be useful for the development of disease detection.
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Affiliation(s)
- Ruichan Lv
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Zhan Wang
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Yaqun Ma
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Wenjing Li
- Interdisciplinary Research Center of Smart Sensor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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9
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Melitto AS, Arias VEA, Shida JY, Gebrim LH, Silveira L. Diagnosing molecular subtypes of breast cancer by means of Raman spectroscopy. Lasers Surg Med Suppl 2022; 54:1143-1156. [PMID: 35789102 DOI: 10.1002/lsm.23580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Raman spectroscopy has been used to discriminate human breast cancer and its different tumor molecular subtypes (luminal A, luminal B, HER2, and triple-negative) from normal tissue in surgical specimens. MATERIALS AND METHODS Breast cancer and normal tissue samples from 31 patients were obtained by surgical resection and submitted for histopathology. Before anatomopathological processing, the samples had been submitted to Raman spectroscopy (830 nm, 25 mW excitation laser parameters). In total, 424 Raman spectra were obtained. Principal component analysis (PCA) was used in an exploratory analysis to unveil the compositional differences between the tumors and normal tissues. Discriminant models were developed to distinguish the different cancer subtypes by means of partial least squares (PLS) regression. RESULTS PCA vectors showed spectral features referred to the biochemical constitution of breast tissues, such as lipids, proteins, amino acids, and carotenoids, where lipids were decreased and proteins were increased in breast tumors. Despite the small spectral differences between the different subtypes of tumor and normal tissues, the discriminant model based on PLS was able to discriminate the spectra of the breast tumors from normal tissues with an accuracy of 97.3%, between luminal and nonluminal subtypes with an accuracy of 89.9%, between nontriple-negative and triple-negative with an accuracy of 94.7%, and each molecular subtype with an accuracy of 73.0%. CONCLUSION PCA could reveal the compositional difference between tumors and normal tissues, and PLS could discriminate the Raman spectra of breast tissues regarding the molecular subtypes of cancer, being a useful tool for cancer diagnosis.
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Affiliation(s)
| | - Victor E A Arias
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Jorge Y Shida
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Luiz H Gebrim
- Biomedical Engineering Program, Universidade Anhembi Morumbi-UAM, São Paulo, SP, Brazil
| | - Landulfo Silveira
- Mastology Department, CRSM-Hospital Pérola Byington, São Paulo, SP, Brazil.,Biomedical Engineering Institute, Center for Innovation, Technology and Education-CITÉ, São José dos Camp, SP, Brazil
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10
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Raman Spectroscopy: A Personalized Decision-Making Tool on Clinicians' Hands for In Situ Cancer Diagnosis and Surgery Guidance. Cancers (Basel) 2022; 14:cancers14051144. [PMID: 35267451 PMCID: PMC8909093 DOI: 10.3390/cancers14051144] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 12/23/2022] Open
Abstract
Simple Summary Cancer still constitutes one of the main global health challenges. Novel approaches towards understanding the molecular composition of the disease can be employed as adjuvant tools to current oncological applications. Raman spectroscopy has been contemplated and pursued to serve as a noninvasive, real time, in vivo tool which may uncover the molecular basis of cancer and simultaneously offer high specificity, sensitivity, and multiplexing capacity, as well as high spatial and temporal resolution. In this review, the potential impact of Spontaneous Raman spectroscopy in clinical applications related to cancer diagnosis and surgical removal is analyzed. Moreover, the coupling of Raman systems with modern instrumentation and machine learning methods has been explored as a prominent enhancement factor towards a personalized approach promoting objectivity and accuracy in surgical oncology. Abstract Accurate in situ diagnosis and optimal surgical removal of a malignancy constitute key elements in reducing cancer-related morbidity and mortality. In surgical oncology, the accurate discrimination between healthy and cancerous tissues is critical for the postoperative care of the patient. Conventional imaging techniques have attempted to serve as adjuvant tools for in situ biopsy and surgery guidance. However, no single imaging modality has been proven sufficient in terms of specificity, sensitivity, multiplexing capacity, spatial and temporal resolution. Moreover, most techniques are unable to provide information regarding the molecular tissue composition. In this review, we highlight the potential of Raman spectroscopy as a spectroscopic technique with high detection sensitivity and spatial resolution for distinguishing healthy from malignant margins in microscopic scale and in real time. A Raman spectrum constitutes an intrinsic “molecular finger-print” of the tissue and any biochemical alteration related to inflammatory or cancerous tissue state is reflected on its Raman spectral fingerprint. Nowadays, advanced Raman systems coupled with modern instrumentation devices and machine learning methods are entering the clinical arena as adjunct tools towards personalized and optimized efficacy in surgical oncology.
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Sato S, Kagoshima H, Shiozawa M, Nukada S, Iguchi K, Mikayama Y, Oshima T, Numata M, Tamagawa H, Rino Y, Masuda M, Tanaka K. Automated non-invasive identification of pelvic autonomic nerves with a handheld Raman spectrometer and potential application to nerve-sparing colorectal surgery: a preliminary study in surgical specimens. Transl Cancer Res 2022; 10:3921-3929. [PMID: 35116691 PMCID: PMC8798359 DOI: 10.21037/tcr-21-587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 07/14/2021] [Indexed: 11/06/2022]
Abstract
Background Although minimally invasive surgery for colorectal cancer, whether performed as standard laparoscopic or robotic surgery, has been established as an oncologically safe procedure, postoperative urinary dysfunction and sexual dysfunction remain matters of concern, even when so-called nerve-sparing surgery is performed. We have hypothesized that Raman spectroscopy can be used intraoperatively as a non-invasive label-free means of objective identification of the pelvic nerves, and we conducted a preliminary study by applying a newly developed handheld Raman spectrometer to surgical specimens. Methods Samples of nervous tissue, colon cancer tissue, and tissues from surrounding pelvic organs were obtained from 25 patients undergoing colectomy. Raman spectra were obtained by irradiation with the Progeny™ Raman spectrometer. We looked for characteristic Raman shifts to distinguish nervous tissue from cancer tissue. To improve discrimination between nervous tissue and other tissues, the spectral data were subjected to principal component analysis. Results We detected characteristic differences in the spectra at 1,309 cm-1, 1,442 cm-1, and 1,658 cm-1. A significant difference was detected at 1,442 cm-1, and accuracy of the modality for identification of nervous tissue was 75%. The addition of principle component analysis (4 components) yielded 100% sensitivity, 85% specificity, and 90%, notably increasing accuracy from 75% to 90% in discriminating between nervous tissue and cancer tissue. Conclusions Raman spectroscopy holds promise for non-invasive intraoperative recognition of nervous tissue. We expect the modality to become a powerful clinical tool, compensating for the lack of tactile feedback intrinsic to minimally invasive colectomy and thus thwarting the risk of postoperative urinary and/or sexual dysfunction.
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Affiliation(s)
- Sumito Sato
- Department of Gastroenterological and General Surgery, Showa University Fujigaoka Hospital, Yokohama, Japan.,Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | | | - Manabu Shiozawa
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Suguru Nukada
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Kenta Iguchi
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Yo Mikayama
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Takashi Oshima
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Masakatsu Numata
- Department of Surgery, Yokohama City University, Yokohama, Japan
| | - Hiroshi Tamagawa
- Department of Surgery, Yokohama City University, Yokohama, Japan
| | - Yasushi Rino
- Department of Surgery, Yokohama City University, Yokohama, Japan
| | - Munetaka Masuda
- Department of Surgery, Yokohama City University, Yokohama, Japan
| | - Kuniya Tanaka
- Department of Gastroenterological and General Surgery, Showa University Fujigaoka Hospital, Yokohama, Japan
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12
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Lauwerends LJ, Abbasi H, Bakker Schut TC, Van Driel PBAA, Hardillo JAU, Santos IP, Barroso EM, Koljenović S, Vahrmeijer AL, Baatenburg de Jong RJ, Puppels GJ, Keereweer S. The complementary value of intraoperative fluorescence imaging and Raman spectroscopy for cancer surgery: combining the incompatibles. Eur J Nucl Med Mol Imaging 2022; 49:2364-2376. [PMID: 35102436 PMCID: PMC9165240 DOI: 10.1007/s00259-022-05705-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/23/2022] [Indexed: 01/09/2023]
Abstract
A clear margin is an important prognostic factor for most solid tumours treated by surgery. Intraoperative fluorescence imaging using exogenous tumour-specific
fluorescent agents has shown particular benefit in improving complete resection of tumour tissue. However, signal processing for fluorescence imaging is complex, and fluorescence signal intensity does not always perfectly correlate with tumour location. Raman spectroscopy has the capacity to accurately differentiate between malignant and healthy tissue based on their molecular composition. In Raman spectroscopy, specificity is uniquely high, but signal intensity is weak and Raman measurements are mainly performed in a point-wise manner on microscopic tissue volumes, making whole-field assessment temporally unfeasible. In this review, we describe the state-of-the-art of both optical techniques, paying special attention to the combined intraoperative application of fluorescence imaging and Raman spectroscopy in current clinical research. We demonstrate how these techniques are complementary and address the technical challenges that have traditionally led them to be considered mutually exclusive for clinical implementation. Finally, we present a novel strategy that exploits the optimal characteristics of both modalities to facilitate resection with clear surgical margins.
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Affiliation(s)
- L J Lauwerends
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - H Abbasi
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, Netherlands.,Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - T C Bakker Schut
- Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - P B A A Van Driel
- Department of Orthopedic Surgery, Isala Hospital, Zwolle, Netherlands
| | - J A U Hardillo
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - I P Santos
- Molecular Physical-Chemistry R&D Unit, Department of Chemistry, University of Coimbra, Coimbra, Portugal
| | | | - S Koljenović
- Department of Pathology, Antwerp University Hospital/Antwerp University, Antwerp, Belgium
| | - A L Vahrmeijer
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - R J Baatenburg de Jong
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - G J Puppels
- Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - S Keereweer
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, Netherlands.
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13
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Haroon M, Tahir M, Nawaz H, Majeed MI, Al-Saadi AA. Surface-enhanced Raman scattering (SERS) spectroscopy for prostate cancer diagnosis: A review. Photodiagnosis Photodyn Ther 2021; 37:102690. [PMID: 34921990 DOI: 10.1016/j.pdpdt.2021.102690] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/28/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022]
Abstract
The present review focuses on the diagnosis of prostate cancer using surface enhanced Raman scattering (SERS) spectroscopy. On the basis of literature search, SERS-based analysis for prostate cancer detection of different sample types is reported in the present study. Prostate cancer is responsible for nearly one-tenth of all cell cancer deaths among men. Significant efforts have been dedicated to establish precise and sensitive monitoring techniques to detect prostate cancer biomarkers in different types of body samples. Among the various spectro-analytical techniques investigated to achieve this objective, SERS spectroscopy has been proven as a promising approach that provides noticeable enhancements of the Raman sensitivity when the target biomolecules interact with a nanostructured surface. The purpose of this review is to give a brief overview of the SERS-basedapproach and other spectro-analytical strategies being used for the detection and quantification of prostate cancer biomarkers. The revolutionary development of SERS methods for the diagnosis of prostate cancer has been discussed in more details based on the reported literature. It has been noticed that the SERS-based immunoassay presents reliable results for the prostate cancer quantification. The EC-SERS, which integrates electrochemistry with the SERS model, could also offer a potential ultrasensitive strategy, although its application in prostate cancer analysis has been still limited.
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Affiliation(s)
- Muhammad Haroon
- Department of Chemistry, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
| | - Muhammad Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Pakistan
| | | | - Abdulaziz A Al-Saadi
- Department of Chemistry, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia; Interdisciplinary Research Center (IRC) in Refinery and Advanced Chemicals, Dhahran 31261, Saudi Arabia.
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14
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Song H, Dong C, Zhang X, Wu W, Chen C, Ma B, Chen F, Chen C, Lv X. Rapid identification of papillary thyroid carcinoma and papillary microcarcinoma based on serum Raman spectroscopy combined with machine learning models. Photodiagnosis Photodyn Ther 2021; 37:102647. [PMID: 34818598 DOI: 10.1016/j.pdpdt.2021.102647] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/07/2021] [Accepted: 11/19/2021] [Indexed: 12/18/2022]
Abstract
Thyroid carcinoma is one kind of cancer with the highest diagnosis rate in the endocrine system, and its main histological subtype is papillary thyroid carcinoma (PTC) accounting for 80% of thyroid malignancies. In recent years, the incidence of thyroid cancer has increased exponentially, and its substantial increase was closely related to the overdiagnosis of papillary microcarcinoma (PMC). Therefore, early and accurate identification of PTC and PMC can prevent patients from being irreversibly damaged. This study aimed to identify PTC and PMC using Raman spectroscopy. We collected serum Raman spectra from 16 patients with PTC and 31 patients with PMC. Firstly, the collected imbalance data were preprocessed using the synthetic minority over-sampling technique (SMOTE). Then, the equalized data were dimensionality reduced by principal component analysis (PCA). Finally, the processed data were fed into the single decision tree (DT) classifier, as well as the random forest (RF) built on the idea of Boosting ensemble and the Adaptive Boosting (Adaboost) model built on the idea of Bagging ensemble for classification. The classification accuracy of the three models in the testing set were 75.38%, 81.54%, and 84.61%, respectively. Compared with the DT classifier, the accuracy of the models introducing the idea of ensemble learning was enhanced by 6.16% and 9.23%, respectively. The best model was the Adaboost. This result demonstrates that serum Raman spectroscopy combined with an ensemble learning algorithm was feasible in rapidly identifying PTC and PMC. At the same time, the method has great potential for application in the field of clinical diagnosis.
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Affiliation(s)
- Haitao Song
- Department of Breast, Head and Neck Surgery, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China
| | - Chao Dong
- Department of Breast, Head and Neck Surgery, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China
| | - Xudan Zhang
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
| | - Wei Wu
- College of Software, Xinjiang University, Urumqi, 830046, China
| | - Cheng Chen
- College of Software, Xinjiang University, Urumqi, 830046, China.; Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi, 830046, China..
| | - Binlin Ma
- Department of Breast, Head and Neck Surgery, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China..
| | - Fangfang Chen
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
| | - Chen Chen
- College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
| | - Xiaoyi Lv
- College of Software, Xinjiang University, Urumqi, 830046, China.; Key Laboratory of Signal Detection and Processing, Xinjiang University, Urumqi, 830046, China.; College of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China
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15
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Tanwar S, Paidi SK, Prasad R, Pandey R, Barman I. Advancing Raman spectroscopy from research to clinic: Translational potential and challenges. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 260:119957. [PMID: 34082350 DOI: 10.1016/j.saa.2021.119957] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 05/08/2021] [Accepted: 05/10/2021] [Indexed: 05/18/2023]
Abstract
Raman spectroscopy has emerged as a non-invasive and versatile diagnostic technique due to its ability to provide molecule-specific information with ultrahigh sensitivity at near-physiological conditions. Despite exhibiting substantial potential, its translation from optical bench to clinical settings has been impacted by associated limitations. This perspective discusses recent clinical and biomedical applications of Raman spectroscopy and technological advancements that provide valuable insights and encouragement for resolving some of the most challenging hurdles.
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Affiliation(s)
- Swati Tanwar
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Santosh Kumar Paidi
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Ram Prasad
- Department of Botany, School of Life Sciences, Mahatma Gandhi Central University, Motihari, Bihar 845401, India
| | - Rishikesh Pandey
- CytoVeris Inc., Farmington, CT 06032, United States; Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, United States.
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, MD 21205, United States; Department of Oncology, Johns Hopkins University, Baltimore, MD 21287, United States.
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16
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Ex Vivo Vibration Spectroscopic Analysis of Colorectal Polyps for the Early Diagnosis of Colorectal Carcinoma. Diagnostics (Basel) 2021; 11:diagnostics11112048. [PMID: 34829393 PMCID: PMC8621094 DOI: 10.3390/diagnostics11112048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/25/2021] [Accepted: 10/31/2021] [Indexed: 02/01/2023] Open
Abstract
Colorectal cancer is one of the most common and often fatal cancers in humans, but it has the highest chance of a cure if detected at an early precancerous stage. Carcinogenesis in the colon begins as an uncontrolled growth forming polyps. Some of these polyps can finally be converted to colon cancer. Early diagnosis of adenomatous polyps is the main approach for screening and preventing colorectal cancer, and vibration spectroscopy can be used for this purpose. This work is focused on evaluating FTIR and Raman spectroscopy as a tool in the ex vivo analysis of colorectal polyps, which could be important for the early diagnosis of colorectal carcinoma. Multivariate analyses (PCA and LDA) were used to assist the spectroscopic discrimination of normal colon tissue, as well as benign and malignant colon polyps. The spectra demonstrated evident differences in the characteristic bands of the main tissue constituents, i.e., proteins, nucleic acids, lipids, polysaccharides, etc. Suitable models for discriminating the three mentioned diagnostic groups were proposed based on multivariate analyses of the spectroscopic data. LDA classification was especially successful in the case of a combined set of 55 variables from the FTIR, FT Raman and dispersion Raman spectra. This model can be proposed for ex vivo colorectal cancer diagnostics in combination with the colonoscopic extraction of colon polyps for further testing. This pilot study is a precursor for the further evaluation of the diagnostic potential for the simultaneous in vivo application of colonoscopic Raman probes.
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Acri G, Romano C, Costa S, Pellegrino S, Testagrossa B. Raman Spectroscopy Technique: A Non-Invasive Tool in Celiac Disease Diagnosis. Diagnostics (Basel) 2021; 11:diagnostics11071277. [PMID: 34359362 PMCID: PMC8306584 DOI: 10.3390/diagnostics11071277] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/21/2021] [Accepted: 07/13/2021] [Indexed: 01/14/2023] Open
Abstract
Celiac disease (CD) is diagnosed by a combination of specific serology and typical duodenal lesions. The histological confirmation of CD, mandatory in the majority of patients with suspected CD, is based on invasive and poorly tolerated procedures, such as upper gastrointestinal endoscopy. In this study we propose an alternative and non-invasive methodology able to confirm the diagnosis of CD based on the analysis of serum samples using the Raman spectroscopy technique. Three different bands centered at 1650, 1450 and 1003 cm-1 have been considered and the A1450/A1003 and A1650/A1003 ratios have been computed to discriminate between CD and non-CD subjects. The reliability of the methodology was validated by statistical analysis using receiver operating characteristic (ROC) curves. The Youden index was also determined to obtain optimal cut-off points. The obtained results highlighted that the proposed methodology was able to distinguish between CD and non-CD subjects with 98% accuracy. The optimal cut-off points revealed, for both the A1450/A1003 and A1650/A1003 ratios, high values of sensitivity and specificity (>95.0% and >92.0% respectively), confirming that Raman spectroscopy may be considered a valid alternative to duodenal biopsy and demonstrates spectral changes in the secondary structures of the protein network.
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Affiliation(s)
- Giuseppe Acri
- Dipartimento di Scienze Biomediche, Odontoiatriche, e delle Immagini Morfologiche e Funzionali, Università degli Studi di Messina, 98125 Messina, Italy
- Correspondence: (G.A.); (B.T.)
| | - Claudio Romano
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (C.R.); (S.C.); (S.P.)
| | - Stefano Costa
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (C.R.); (S.C.); (S.P.)
| | - Salvatore Pellegrino
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (C.R.); (S.C.); (S.P.)
| | - Barbara Testagrossa
- Dipartimento di Scienze Biomediche, Odontoiatriche, e delle Immagini Morfologiche e Funzionali, Università degli Studi di Messina, 98125 Messina, Italy
- Correspondence: (G.A.); (B.T.)
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18
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Lizio MG, Boitor R, Notingher I. Selective-sampling Raman imaging techniques for ex vivo assessment of surgical margins in cancer surgery. Analyst 2021; 146:3799-3809. [PMID: 34042924 DOI: 10.1039/d1an00296a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
One of the main challenges in cancer surgery is to ensure the complete excision of the tumour while sparing as much healthy tissue as possible. Histopathology, the gold-standard technique used to assess the surgical margins on the excised tissue, is often impractical for intra-operative use because of the time-consuming tissue cryo-sectioning and staining, and availability of histopathologists to assess stained tissue sections. Raman micro-spectroscopy is a powerful technique that can detect microscopic residual tumours on ex vivo tissue samples with accuracy, based entirely on intrinsic chemical differences. However, raster-scanning Raman micro-spectroscopy is a slow imaging technique that typically requires long data acquisition times wich are impractical for intra-operative use. Selective-sampling Raman imaging overcomes these limitations by using information regarding the spatial properties of the tissue to reduce the number of Raman spectra. This paper reviews the latest advances in selective-sampling Raman techniques and applications, mainly based on multimodal optical imaging. We also highlight the latest results of clinical integration of a prototype device for non-melanoma skin cancer. These promising results indicate the potential impact of Raman spectroscopy for providing fast and objective assessment of surgical margins, helping surgeons ensure the complete removal of tumour cells while sparing as much healthy tissue as possible.
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Affiliation(s)
- Maria Giovanna Lizio
- School of Physics and Astonomy, University of Nottingham, Nottingham, Nottinghamshire, UK.
| | - Radu Boitor
- School of Physics and Astonomy, University of Nottingham, Nottingham, Nottinghamshire, UK.
| | - Ioan Notingher
- School of Physics and Astonomy, University of Nottingham, Nottingham, Nottinghamshire, UK.
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19
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Zheng C, Jia HY, Liu LY, Wang Q, Jiang HC, Teng LS, Geng CZ, Jin F, Tang LL, Zhang JG, Wang X, Wang S, Alejandro FE, Wang F, Yu LX, Zhou F, Xiang YJ, Huang SY, Fu QY, Zhang Q, Gao DZ, Ma ZB, Li L, Fan ZM, Yu ZG. Molecular fingerprint of precancerous lesions in breast atypical hyperplasia. J Int Med Res 2021; 48:300060520931616. [PMID: 32589079 PMCID: PMC7325464 DOI: 10.1177/0300060520931616] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To identify atypical hyperplasia (AH) of the breast by shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS), and to explore the molecular fingerprinting characteristics of breast AH. METHODS Breast hyperplasia was studied in 11 hospitals across China from January 2015 to December 2016. All patients completed questionnaires on women's health. The differences between patients with and without breast AH were compared. AH breast lesions were detected by Raman spectroscopy followed by the SHINERS technique. RESULTS There were no significant differences in clinical features and risk-related factors between patients with breast AH (n = 37) and the control group (n = 2576). Fifteen cases of breast AH lesions were detected by Raman spectroscopy. The main different Raman peaks in patients with AH appeared at 880, 1001, 1086, 1156, 1260, and 1610 cm-1, attributed to the different vibrational modes of nucleic acids, β-carotene, and proteins. Shell-isolated nanoparticles had different enhancement effects on the nucleic acid, protein, and lipid components in AH. CONCLUSION Raman spectroscopy can detect characteristic molecular changes in breast AH lesions, and may thus be useful for the non-invasive early diagnosis and for investigating the mechanism of tumorigenesis in patients with breast AH.
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Affiliation(s)
- Chao Zheng
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Hong Ying Jia
- Center of Evidence-based Medicine, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Li Yuan Liu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qi Wang
- Breast Disease Center, Guangdong Maternal and Child Health Care Hospital, Guangzhou, Guangdong, China
| | - Hong Chuan Jiang
- Department of General Surgery, Beijing Chaoyang Hospital, Beijing, China
| | - Li Song Teng
- Department of Oncology Surgery, The First Affiliated Hospital of Zhejiang University, Hangzhou, Zhejiang, China
| | - Cui Zhi Geng
- Breast Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Feng Jin
- Department of Breast Surgery, the First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Li Li Tang
- Department of Breast Surgery, Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jian Guo Zhang
- Department of General Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Xiang Wang
- Department of Breast Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shu Wang
- Breast Disease Center, Peking University People's Hospital, Beijing, China
| | | | - Fei Wang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Li Xiang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Fei Zhou
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yu Juan Xiang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Shu Ya Huang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qin Ye Fu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qiang Zhang
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - De Zong Gao
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhong Bing Ma
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Liang Li
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zhi Min Fan
- Department of Breast Surgery, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhi Gang Yu
- Department of Breast Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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20
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Park JJ, Kim DK, Lee S, Choi Y, Kim YH, Lee JH, Kim KH, Kim JH. Diagnostic accuracy of Raman spectroscopy for prostate cancer: a systematic review and meta-analysis. Transl Androl Urol 2021; 10:574-583. [PMID: 33718060 PMCID: PMC7947438 DOI: 10.21037/tau-20-924] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background Although various studies have been conducted to demonstrate the possibility of Raman spectroscopy (RS) as a diagnostic tool for prostate cancer (PC), it is difficult to use it in the real clinical area because of imitations in various research processes. Therefore, we did a systematic review and meta-analysis about the accuracy in diagnostic use of RS for PC. Methods A literature search was done using PubMed, Embase, and Cochrane library databases in March 2019 to analyze the accuracy of RS for diagnosis of PC. The accuracy of RS for diagnosis of PC was evaluated by means of pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and summary receiver operating characteristic (SROC). Results Five studies were included for qualitative analysis by screening the remaining articles according to the inclusion and exclusion criteria by means of a systematic review. The pooled sensitivity and specificity of RS were 0.89 (95% CI: 0.87-0.91) and 0.91 (95% CI: 0.89-0.93), respectively. The overall PLR and NLR were 9.12 (95% CI: 4.15-20.08) and 0.14 (95% CI: 0.07-0.29), respectively. The DOR of RS demonstrated high accuracy (73.32; 95% CI: 18.43-291.73). The area under the curves (AUCs) of SROC curves was 0.93. Conclusions RS is an optical diagnostic method with high potential for diagnosis and grading of PC and has advantages of real-time and convenient use. In order to consider real-time use of RS in an actual clinical setting, more studies for standardization and generalization of RS performance and analytical method must be conducted.
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Affiliation(s)
- Jae Joon Park
- Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Do Kyung Kim
- Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Soomin Lee
- Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Yoonseo Choi
- Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea.,Department of Early Childhood Education, Ewha Womans University, Seoul, Korea
| | - Yon Hee Kim
- Department of Pathology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Joon-Ho Lee
- Department of Anesthesiology and Pain Medicine, Soonchunhyang University Bucheon Hospial, Bucheon, Korea
| | - Ki Hyun Kim
- Korea Photonics Technology Institute, Gwangju, Korea
| | - Jae Heon Kim
- Department of Urology, Soonchunhyang University Seoul Hospital, Seoul, Korea
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21
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Raman spectroscopic study of cervical precancerous lesions and cervical cancer. Lasers Med Sci 2021; 36:1855-1864. [PMID: 33404885 PMCID: PMC8594213 DOI: 10.1007/s10103-020-03218-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 12/07/2020] [Indexed: 02/05/2023]
Abstract
Early detection of cervical lesions, accurate diagnosis of cervical lesions, and timely and effective therapy can effectively avoid the occurrence of cervical cancer or improve the survival rate of patients. In this paper, the spectra of tissue sections of cervical inflammation (n = 60), CIN (cervical intraepithelial neoplasia) I (n = 30), CIN II (n = 30), CIN III (n = 30), cervical squamous cell carcinoma (n = 30), and cervical adenocarcinoma (n = 30) were collected by a confocal Raman micro-spectrometer (LabRAM HR Evolution, Horiba France SAS, Villeneuve d’Ascq, France). The Raman spectra of six kinds of cervical tissues were analyzed, the dominant Raman peaks of different kinds of tissues were summarized, and the differences in chemical composition between the six tissue samples were compared. An independent sample t test (p ≤ 0.05) was used to analyze the difference of average relative intensity of Raman spectra of six types of cervical tissues. The difference of relative intensity of Raman spectra of six kinds of tissues can reflect the difference of biochemical components in six kinds of tissues and the characteristic of biochemical components in different kinds of tissues. The classification models of cervical inflammation, CIN I, CIN II, CIN III, cervical squamous cell carcinoma, and cervical adenocarcinoma were established by using a support vector machine (SVM) algorithm. Six types of cervical tissues were classified and identified with an overall diagnostic accuracy of 85.7%. This study laid a foundation for the application of Raman spectroscopy in the clinical diagnosis of cervical precancerous lesions and cervical cancer.
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22
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He Z, Wang P, Ye X. Novel endoscopic optical diagnostic technologies in medical trial research: recent advancements and future prospects. Biomed Eng Online 2021; 20:5. [PMID: 33407477 PMCID: PMC7789310 DOI: 10.1186/s12938-020-00845-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 12/23/2020] [Indexed: 12/20/2022] Open
Abstract
Novel endoscopic biophotonic diagnostic technologies have the potential to non-invasively detect the interior of a hollow organ or cavity of the human body with subcellular resolution or to obtain biochemical information about tissue in real time. With the capability to visualize or analyze the diagnostic target in vivo, these techniques gradually developed as potential candidates to challenge histopathology which remains the gold standard for diagnosis. Consequently, many innovative endoscopic diagnostic techniques have succeeded in detection, characterization, and confirmation: the three critical steps for routine endoscopic diagnosis. In this review, we mainly summarize researches on emerging endoscopic optical diagnostic techniques, with emphasis on recent advances. We also introduce the fundamental principles and the development of those techniques and compare their characteristics. Especially, we shed light on the merit of novel endoscopic imaging technologies in medical research. For example, hyperspectral imaging and Raman spectroscopy provide direct molecular information, while optical coherence tomography and multi-photo endomicroscopy offer a more extensive detection range and excellent spatial-temporal resolution. Furthermore, we summarize the unexplored application fields of these endoscopic optical techniques in major hospital departments for biomedical researchers. Finally, we provide a brief overview of the future perspectives, as well as bottlenecks of those endoscopic optical diagnostic technologies. We believe all these efforts will enrich the diagnostic toolbox for endoscopists, enhance diagnostic efficiency, and reduce the rate of missed diagnosis and misdiagnosis.
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Affiliation(s)
- Zhongyu He
- Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, People's Republic of China
| | - Peng Wang
- Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, People's Republic of China
| | - Xuesong Ye
- Biosensor National Special Laboratory, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, People's Republic of China.
- State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou, 310058, People's Republic of China.
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Distinct stratification of normal liver, hepatocellular carcinoma (HCC), and anticancer nanomedicine-treated- tumor tissues by Raman fingerprinting for HCC therapeutic monitoring. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 33:102352. [PMID: 33418135 DOI: 10.1016/j.nano.2020.102352] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 12/04/2020] [Accepted: 12/05/2020] [Indexed: 01/22/2023]
Abstract
Hepatocellular carcinomas (HCCs) are highly vascularized neoplasms with poor prognosis. Nanomedicine possesses great potential to deliver therapeutics and diagnostics. The new aspect of this study is that we have monitored, for the first time, the Raman responses to microtubule targeted vascular disrupting agents (MTVDA), MTVDA encapsulated non-targeted, and targeted cetuximab polymeric nanocomplexes delivery of combinatorial therapeutics in HCC tumor tissues of mice. Biochemical differences majorly demarcated apoptotic lipid bodies, and characteristic amide-I features. HCC tumor and healthy liver tissues could be stratified. Raman spectroscopy served as an excellent, rapid, sensitive and cost-effective approach for anticancer nanomedicine distinct stratification of MTVDA encapsulated targeted cetuximab polymeric nanocomplex combinatorials, a significant potential for HCC therapeutic monitoring.
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24
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Sodo A, Verri M, Palermo A, Naciu AM, Sponziello M, Durante C, Di Gioacchino M, Paolucci A, di Masi A, Longo F, Crucitti P, Taffon C, Ricci MA, Crescenzi A. Raman Spectroscopy Discloses Altered Molecular Profile in Thyroid Adenomas. Diagnostics (Basel) 2020; 11:diagnostics11010043. [PMID: 33383892 PMCID: PMC7823803 DOI: 10.3390/diagnostics11010043] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 12/22/2020] [Accepted: 12/23/2020] [Indexed: 12/13/2022] Open
Abstract
Follicular patterned nodules are sometimes complex to be classified due to ambiguous nuclear features and/or questionable capsular or vascular invasion. In this setting, there is a poor inter-observer concordance even among expert pathologists. Raman spectroscopy was recently used to separate benign and malignant thyroid nodules based on their molecular fingerprint; anyway, some histologically proved follicular adenomas were clustered as having a characteristic profile of malignant lesions. In this study, we analyzed five follicular thyroid adenomas with a malignant spectroscopic profile compared to five follicular adenomas with a benign Raman spectrum in order to assess possible molecular differences between the two groups. Morphological, immunohistochemical, and molecular analyses evidenced expression of malignancy-associated proteins in four out of five malignant clustered adenomas. The remaining malignant clustered adenoma showed a TSHR mutation previously associated with autonomously functioning follicular carcinomas. In conclusion, thyroid follicular adenomas are a group of morphologically benign neoplasms that may have altered the mutational or expression profile; cases of adenomas with altered immunophenotype are recognized as showing a profile associated with malignancy by Raman spectroscopy. This correlation warrants a more extensive evaluation and suggests a potential predictive value of spectroscopic assessment in recognizing characteristics associated with tumor progression in follicular thyroid neoplasms.
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Affiliation(s)
- Armida Sodo
- Department of Sciences, University Roma Tre, 00146 Rome, Italy; (A.S.); (M.D.G.); (A.P.); (A.d.M.); (M.A.R.)
| | - Martina Verri
- Pathology Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (M.V.); (C.T.)
| | - Andrea Palermo
- Unit of Endocrinology and Diabetes, Campus Bio-Medico University, 00128 Rome, Italy; (A.P.); (A.M.N.)
| | - Anda Mihaela Naciu
- Unit of Endocrinology and Diabetes, Campus Bio-Medico University, 00128 Rome, Italy; (A.P.); (A.M.N.)
| | - Marialuisa Sponziello
- Department of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy; (M.S.); (C.D.)
| | - Cosimo Durante
- Department of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy; (M.S.); (C.D.)
| | - Michael Di Gioacchino
- Department of Sciences, University Roma Tre, 00146 Rome, Italy; (A.S.); (M.D.G.); (A.P.); (A.d.M.); (M.A.R.)
| | - Alessio Paolucci
- Department of Sciences, University Roma Tre, 00146 Rome, Italy; (A.S.); (M.D.G.); (A.P.); (A.d.M.); (M.A.R.)
| | - Alessandra di Masi
- Department of Sciences, University Roma Tre, 00146 Rome, Italy; (A.S.); (M.D.G.); (A.P.); (A.d.M.); (M.A.R.)
| | - Filippo Longo
- Unit of Thoracic Surgery, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (F.L.); (P.C.)
| | - Pierfilippo Crucitti
- Unit of Thoracic Surgery, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (F.L.); (P.C.)
| | - Chiara Taffon
- Pathology Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (M.V.); (C.T.)
| | - Maria Antonietta Ricci
- Department of Sciences, University Roma Tre, 00146 Rome, Italy; (A.S.); (M.D.G.); (A.P.); (A.d.M.); (M.A.R.)
| | - Anna Crescenzi
- Pathology Unit, Campus Bio-Medico University Hospital, 00128 Rome, Italy; (M.V.); (C.T.)
- Correspondence: ; Tel.: +39-06-225411106
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Acri G, Testagrossa B, Giudice E, Arfuso F, Piccione G, Giannetto C. Application of Raman Spectroscopy for the Evaluation of Metabolomic Dynamic Analysis in Athletic Horses. J Equine Vet Sci 2020; 96:103319. [PMID: 33349414 DOI: 10.1016/j.jevs.2020.103319] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/29/2020] [Accepted: 11/02/2020] [Indexed: 11/28/2022]
Abstract
Raman spectroscopy is a rapid qualitative and quantitative technique that allows the simultaneous determination of several components, both biomolecules both chemical compounds, in the biological fluids to assess the metabolic status. In this study, the serum composition was evaluated in regularly trained athletic horses using Raman spectroscopy to identify biomarkers of sports performance. Five clinically healthy and regularly trained Italian Saddle horses were subjected to a standardized obstacle course (350 m/minute; eleven 1.25 high jumps) preceded by a warm-up. On the collected sera, at rest, immediately after exercise, 30 minutes, and 1 hour after the end of the exercise Raman measurements were performed using a diode laser with the excitation wavelength of 785 nm. The analysis of the obtained spectra allowed the identification of peaks and bands different in position and intensity among the experimental conditions. The acquired spectra, obtained from horse sera collected during the experimental protocol, were visually similar, except for the large band detected in the 1,250-1,800 cm-1 range. The spectral intensity of the Raman spectrum decreased after training and 30 minutes after the end of exercise respect to the before exercise value, to come to the basal value after 60 minutes the end of the exercise. In conclusion, we can claim the ability of Raman spectroscopy to reveal the metabolic status of horses after physical exercise.
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Affiliation(s)
- Giuseppe Acri
- Department of BIOMORF, University of Messina, Messina, Italy
| | | | - Elisabetta Giudice
- Department of Veterinary Sciences, Polo Universitario dell'Annunziata, University of Messina, Messina, Italy
| | - Francesca Arfuso
- Department of Veterinary Sciences, Polo Universitario dell'Annunziata, University of Messina, Messina, Italy
| | - Giuseppe Piccione
- Department of Veterinary Sciences, Polo Universitario dell'Annunziata, University of Messina, Messina, Italy.
| | - Claudia Giannetto
- Department of Veterinary Sciences, Polo Universitario dell'Annunziata, University of Messina, Messina, Italy
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Abstract
Over the last 50 years, the incidence of human thyroid cancer disease has seen a significative increment. This comes along with an even higher increment of surgery, since, according to the international guidelines, patients are sometimes addressed to surgery also when the fine needle aspiration gives undetermined cytological diagnosis. As a matter of fact, only 30% of the thyroid glands removed for diagnostic purpose have a post surgical histological report of malignancy: this implies that about 70% of the patients have suffered an unnecessary thyroid removal. Here we show that Raman spectroscopy investigation of thyroid tissues provides reliable cancer diagnosis. Healthy tissues are consistently distinguished from cancerous ones with an accuracy of \documentclass[12pt]{minimal}
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\begin{document}$$\sim $$\end{document}∼ 90%, and the three cancer typology with highest incidence are clearly identified. More importantly, Raman investigation has evidenced alterations suggesting an early stage of transition of adenoma tissues into cancerous ones. These results suggest that Raman spectroscopy may overcome the limits of current diagnostic tools.
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Identification of Lesional Tissues and Nonlesional Tissues in Early Gastric Cancer Endoscopic Submucosal Dissection Specimens Using a Fiber Optic Raman System. Gastroenterol Res Pract 2020; 2020:8015024. [PMID: 32508914 PMCID: PMC7245655 DOI: 10.1155/2020/8015024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 04/18/2020] [Indexed: 12/24/2022] Open
Abstract
Aim To identify lesional and nonlesional tissues from early gastric cancer (EGC) patients by Raman spectroscopy to build a diagnostic model and effectively diagnose EGC. Method Specimens were collected by endoscopic submucosal dissection from 13 patients with EGC, and 55 sets of standard Raman spectral data (each integrated 10 times) were obtained using the fiber optic Raman system; there were 33 sets of lesional tissue data, including 18 sets of high-grade intraepithelial neoplasia (HGIN) data and 15 sets of adenocarcinoma data, and 22 sets of nonlesional tissue data. After the preprocessing steps, the average Raman spectrum was obtained. Results The nonlesional tissues showed peaks at 891 cm−1, 1103 cm−1, 1417 cm−1, 1206 cm−1, 1234 cm−1, 1479 cm−1, 1560 cm−1, and 1678 cm−1. Compared with the peaks corresponding to nonlesional tissues, the peaks of the lesional tissues shifted by different magnitudes, and a new characteristic peak at 1324 cm−1 was observed. Comparing the peak intensity ratio and the integral energy ratio of the lesional tissues with those of the nonlesional tissues revealed a significant difference between the two groups (independent-samplest-test, P < 0.05). Considering the peak intensity ratio of I1560 cm−1/I1103 cm−1 as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 98.8%, 93.9%, and 91.9%, respectively. Considering the integral energy ratio (noncontinuous frequency band and continuous frequency band) as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 99.2-99.6%, 93.9-97.0%, and 95.5%, respectively. Conclusions The integral energy ratio of the Raman spectrum could be considered an effective indicator for the diagnosis of EGC.
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Dallaire F, Picot F, Tremblay JP, Sheehy G, Lemoine É, Agarwal R, Kadoury S, Trudel D, Lesage F, Petrecca K, Leblond F. Quantitative spectral quality assessment technique validated using intraoperative in vivo Raman spectroscopy measurements. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:1-8. [PMID: 32319263 PMCID: PMC7171512 DOI: 10.1117/1.jbo.25.4.040501] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 04/08/2020] [Indexed: 05/14/2023]
Abstract
SIGNIFICANCE Ensuring spectral quality is prerequisite to Raman spectroscopy applied to surgery. This is because the inclusion of poor-quality spectra in the training phase of Raman-based pathology detection models can compromise prediction robustness and generalizability to new data. Currently, there exists no quantitative spectral quality assessment technique that can be used to either reject low-quality data points in existing Raman datasets based on spectral morphology or, perhaps more importantly, to optimize the in vivo data acquisition process to ensure minimal spectral quality standards are met. AIM To develop a quantitative method evaluating Raman signal quality based on the variance associated with stochastic noise in important tissue bands, including C─C stretch, CH2 / CH3 deformation, and the amide bands. APPROACH A single-point hand-held Raman spectroscopy probe system was used to acquire 315 spectra from 44 brain cancer patients. All measurements were classified as either high or low quality based on visual assessment (qualitative) and using a quantitative quality factor (QF) metric. Receiver-operator-characteristic (ROC) analyses were performed to evaluate the performance of the quantitative metric to assess spectral quality and improve cancer detection accuracy. RESULTS The method can separate high- and low-quality spectra with a sensitivity of 89% and a specificity of 90% which is shown to increase cancer detection sensitivity and specificity by up to 20% and 12%, respectively. CONCLUSIONS The QF threshold is effective in stratifying spectra in terms of spectral quality and the observed false negatives and false positives can be linked to limitations of qualitative spectral quality assessment.
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Affiliation(s)
- Frédérick Dallaire
- Polytechnique Montréal, Department of Computer Engineering and Software Engineering, Montréal, Québec, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
| | - Fabien Picot
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montréal, Québec, Canada
| | | | - Guillaume Sheehy
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montréal, Québec, Canada
| | - Émile Lemoine
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Polytechnique Montréal, Department of Electrical Engineering Montréal, Québec, Canada
| | | | - Samuel Kadoury
- Polytechnique Montréal, Department of Computer Engineering and Software Engineering, Montréal, Québec, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
| | - Dominique Trudel
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montréal, Québec, Canada
- Centre Hospitalier de l’Université de Montréal, Department of Pathology, Québec, Canada
| | - Frédéric Lesage
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Centre de Recherche de l’Institut de Cardiologie de Montréal, Montréal, Québec, Canada
| | - Kevin Petrecca
- McGill University, Montreal Neurological Institute and Hospital, Brain Tumour Research Center, Department of Neurology and Neurosurgery, Montréal, Québec, Canada
| | - Frédéric Leblond
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, Québec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montréal, Québec, Canada
- Address all correspondence to Frédéric Leblond, E-mail:
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Wang SS, Ye DX, Wang B, Xie C. The Expressions of Keratins and P63 in Primary Squamous Cell Carcinoma of the Thyroid Gland: An Application of Raman Spectroscopy. Onco Targets Ther 2020; 13:585-591. [PMID: 32021300 PMCID: PMC6980845 DOI: 10.2147/ott.s229436] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 12/05/2019] [Indexed: 12/24/2022] Open
Abstract
Purpose Primary squamous cell carcinoma is a rare malignancy in the thyroid gland (SCCTh). The overall prognosis of this carcinoma is poor. This study aimed to explore the application of Raman spectroscopy in investigating the expression of CK5/6 and P63 in SCCTh. Patients and Methods Tissues of the SCCTh and adjacent normal thyroid, as well as blood serum, were collected from a patient with pathology-confirmed SCCTh. Whole genome sequencing analysis was performed with the tissue of the SCCTh. The expressions of keratins and TP53 family gene were investigated by the Raman spectroscopy in tissues of the SCCTh and adjacent normal thyroid. The serum was also investigated by the Raman spectroscopy for the expression of keratins and TP53 family gene. Results The whole genome sequencing analysis identified the mutation of the TP53 gene (42%) in the tissues of SCCTh. Accordingly, the Raman spectra analyses showed higher expression of keratins and TP53 family gene in the tissues of SCCTh compared with that in the adjacent normal thyroid. Raman spectra analyses of the serum of the patient also showed the expressions of the keratins and TP53 family gene. Conclusion The expressions of the keratins and TP53 are different in the tissues of SCCTh and adjacent normal thyroid, and the difference could be identified with high sensitivity by the Raman spectra analyses.
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Affiliation(s)
- Si-Si Wang
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, The People's Republic of China
| | - Dao-Xiong Ye
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, The People's Republic of China
| | - Bo Wang
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, The People's Republic of China
| | - Chao Xie
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, The People's Republic of China
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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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Ralbovsky NM, Lednev IK. Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning. Chem Soc Rev 2020; 49:7428-7453. [DOI: 10.1039/d0cs01019g] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
This review summarizes recent progress made using Raman spectroscopy and machine learning for potential universal medical diagnostic applications.
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Affiliation(s)
| | - Igor K. Lednev
- Department of Chemistry
- University at Albany
- SUNY
- Albany
- USA
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32
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韦 仲, 毛 华, 黄 富, 钟 会, 黄 丽, 黎 远, 卢 敏, 金 少. [Application of fiber Raman endoscopic probe in the diagnosis of gastric cancer]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2019; 39:1506-1510. [PMID: 31907156 PMCID: PMC6942980 DOI: 10.12122/j.issn.1673-4254.2019.12.17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To develop a fiber Raman endoscopic probe that can be integrated in a gastroscope and evaluate its value in the diagnosis of gastric cancer. METHODS The Raman spectra of gastric cancer tissues and normal tissues were obtained using the fiber Raman endoscopic probe and confocal microRaman spectroscopy. After preprocessing with smoothing, baseline elimination and normalization, the spectroscopic data were analyzed by the principle component analyses combined with stechiometry. Based on the pathological results, the diagnostic accuracy, sensitiveness and specificity of Raman spectroscopy combined with stechiometry were evaluated. RESULTS The fiber Raman endoscopic probe and microRaman spectroscopy revealed significantly different Raman spectra between gastric cancer tissues and normal tissues. The diagnostic accuracy, sensitiveness and specificity of the fiber Raman endoscopic probe was 80.56%, 88.89%, and 84.72% for gastric cancer, respectively. CONCLUSIONS The fiber Raman endoscopic probe combined with stechiometry provides an effective modality for the diagnosis of gastric cancer and can well distinguish gastric cancer tissue from normal gastric tissues.
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Affiliation(s)
- 仲 韦
- 南方医科大学珠江医院,广东 广州 510282Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - 华 毛
- 南方医科大学珠江医院,广东 广州 510282Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - 富荣 黄
- 暨南大学光电工程系,广东 广州 510632Department of Photoelectric Engineering, Jinan University, Guangzhou 510632, China
| | - 会清 钟
- 华南师范大学生物光子学研究院,广东 广州 510631Institute of Biological Photonics, South China Normal University, Guangzhou 510631, China
| | - 丽韫 黄
- 南方医科大学珠江医院,广东 广州 510282Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - 远鹏 黎
- 暨南大学光电工程系,广东 广州 510632Department of Photoelectric Engineering, Jinan University, Guangzhou 510632, China
| | - 敏 卢
- 南方医科大学珠江医院,广东 广州 510282Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - 少琴 金
- 南方医科大学珠江医院,广东 广州 510282Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
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Pamudurthy V, Lodhia N, Konda VJA. Advances in endoscopy for colorectal polyp detection and classification. Proc (Bayl Univ Med Cent) 2019; 33:28-35. [PMID: 32063760 DOI: 10.1080/08998280.2019.1686327] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Revised: 06/03/2019] [Accepted: 06/10/2019] [Indexed: 02/08/2023] Open
Abstract
While colonoscopy is considered the gold standard for colon cancer screening, recent advancements in endoscopes have allowed for improved visualization of the colonic mucosa and improved polyp detection rates. Newer technologies also allow for assessment of structural changes for polyp discrimination and determination of histologic type. Classification of polyps prevents the need for a histopathologic report, which requires the additional time and expertise of a pathologist and adds to the overall cost. This review considered advances in endoscopic technologies reported in PubMed over the past 12 years. Technologies that allow for increased visual field of colonic mucosa and may lead to improved colon polyp detection rates include cap-assisted colonoscopy, RetroView, extra-wide-angle view colonoscope, full-spectrum endoscopy, Third Eye Retroscope, NaviAid G-EYE balloon colonoscope, EndoRings, and Endocuff. Image-enhancing methods allow for pit pattern analysis of colorectal lesions, which enables the physician to classify colorectal polyps according to certain polyp characteristics. Image-enhancing methods include chromoendoscopy, autofluorescence, and virtual chromoendoscopy, including narrow band imaging, i-SCAN, flexible spectral imaging chromoendoscopy, and STORZ professional image enhancement systems. In addition, advancements have been made in in vivo microscopic evaluation of colonic epithelium, including confocal laser endomicroscopy, endocytoscopy, optical coherence tomography, spectroscopy, and autofluorescence spectroscopy. Colon capsule endoscopy also has a role in colon polyp detection and classification. The advancements in polyp detection and classification have great promise for earlier detection and removal of advanced adenomas before they advance to colorectal cancer.
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Affiliation(s)
| | - Nayna Lodhia
- Department of Medicine, University of Chicago Medical CenterChicagoIllinois
| | - Vani J A Konda
- Section of Gastroenterology, Baylor University Medical CenterDallasTexas
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Ghani KA, Sudik S, Omar AF, Mail MH, Seeni A. VIS-NIR spectral signature and quantitative analysis of HeLa and DU145 cell line. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 222:117241. [PMID: 31216502 DOI: 10.1016/j.saa.2019.117241] [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: 02/01/2019] [Revised: 06/01/2019] [Accepted: 06/05/2019] [Indexed: 06/09/2023]
Abstract
Cancer is increasing in incidence and the leading cause of death worldwide. Controlling and reducing cancer requires early detection and technique to accurately detect and quantify predictive biomarkers. Optical spectroscopy has shown promising non-destructive ability to display distinctive spectral characteristics between cancerous and normal tissues from different part of human organ. Nonetheless, not many information is available on spectroscopic properties of cancer cell lines. In this research, the visible-near infrared (VIS-NIR) absorbance spectroscopy measurement of cultured cervical cancer (HeLa) and prostate cancer cells (DU145) lines has been performed to develop spectral signature of cancer cells and to generate algorithm to quantify cancer cells. Spectroscopic measurement on mouse skin fibroblast (L929) was also taken for comparative purposes. In visible region, the raw cells' spectra do not produce any noticeable peak absorbance that provides information on color because the medium used for cells is colorless and transparent. NIR wavelength between 950 and 975 nm exhibit significant peak due to water absorbance by the medium. Development of spectral signature for the cells through the application of regression technique significantly enhances the diverse characteristics between L929, HeLa and DU145. The application of multiple linear regression allows high measurement accuracy of the cells with coefficient of determination above 0.94.
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Affiliation(s)
| | - Suhainah Sudik
- School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia
| | - Ahmad Fairuz Omar
- School of Physics, Universiti Sains Malaysia, 11800 Penang, Malaysia.
| | - Mohd Hafiz Mail
- Malaysian Institute of Pharmaceuticals and Nutraceuticals, National Institute of Biotechnology Malaysia, Ministry of Energy, Science, Technology, Environment and Climate Change, 11700 Penang, Malaysia; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Pulau Pinang, Malaysia
| | - Azman Seeni
- Malaysian Institute of Pharmaceuticals and Nutraceuticals, National Institute of Biotechnology Malaysia, Ministry of Energy, Science, Technology, Environment and Climate Change, 11700 Penang, Malaysia; Advanced Medical and Dental Institute, Universiti Sains Malaysia, Bertam, 13200, Pulau Pinang, Malaysia
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Zúñiga WC, Jones V, Anderson SM, Echevarria A, Miller NL, Stashko C, Schmolze D, Cha PD, Kothari R, Fong Y, Storrie-Lombardi MC. Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy. Sci Rep 2019; 9:14639. [PMID: 31601985 PMCID: PMC6787043 DOI: 10.1038/s41598-019-51112-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 09/20/2019] [Indexed: 12/21/2022] Open
Abstract
Failure to precisely distinguish malignant from healthy tissue has severe implications for breast cancer surgical outcomes. Clinical prognoses depend on precisely distinguishing healthy from malignant tissue during surgery. Laser Raman spectroscopy (LRS) has been previously shown to differentiate benign from malignant tissue in real time. However, the cost, assembly effort, and technical expertise needed for construction and implementation of the technique have prohibited widespread adoption. Recently, Raman spectrometers have been developed for non-medical uses and have become commercially available and affordable. Here we demonstrate that this current generation of Raman spectrometers can readily identify cancer in breast surgical specimens. We evaluated two commercially available, portable, near-infrared Raman systems operating at excitation wavelengths of either 785 nm or 1064 nm, collecting a total of 164 Raman spectra from cancerous, benign, and transitional regions of resected breast tissue from six patients undergoing mastectomy. The spectra were classified using standard multivariate statistical techniques. We identified a minimal set of spectral bands sufficient to reliably distinguish between healthy and malignant tissue using either the 1064 nm or 785 nm system. Our results indicate that current generation Raman spectrometers can be used as a rapid diagnostic technique distinguishing benign from malignant tissue during surgery.
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Affiliation(s)
- Willie C Zúñiga
- Harvey Mudd College, Department of Physics, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Veronica Jones
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA.
| | - Sarah M Anderson
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Alex Echevarria
- Harvey Mudd College, Department of Physics, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Nathaniel L Miller
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Connor Stashko
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Daniel Schmolze
- City of Hope National Medical Center, Department of Surgery, 1500 E. Duarte Rd, Duarte, CA, 91010, USA
| | - Philip D Cha
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Ragini Kothari
- City of Hope National Medical Center, Department of Surgery, 1500 E. Duarte Rd, Duarte, CA, 91010, USA
- Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA
| | - Yuman Fong
- City of Hope National Medical Center, Department of Surgery, 1500 E. Duarte Rd, Duarte, CA, 91010, USA
| | - Michael C Storrie-Lombardi
- Harvey Mudd College, Department of Physics, 301 Platt Blvd., Claremont, CA, 91711, USA
- Kinohi Institute, Inc., 530S. Lake Avenue, Pasadena, CA, 91101, USA
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Lita A, Kuzmin AN, Pliss A, Baev A, Rzhevskii A, Gilbert MR, Larion M, Prasad PN. Toward Single-Organelle Lipidomics in Live Cells. Anal Chem 2019; 91:11380-11387. [PMID: 31381322 DOI: 10.1021/acs.analchem.9b02663] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Detailed studies of lipids in biological systems, including their role in cellular structure, metabolism, and disease development, comprise an increasingly prominent discipline called lipidomics. However, the conventional lipidomics tools, such as mass spectrometry, cannot investigate lipidomes until they are extracted, and thus they cannot be used for probing the lipid distribution nor for studying in live cells. Furthermore, conventional techniques rely on the lipid extraction from relatively large samples, which averages the data across the cellular populations and masks essential cell-to-cell variations. Further advancement of the discipline of lipidomics critically depends on the capability of high-resolution lipid profiling in live cells and, potentially, in single organelles. Here we report a micro-Raman assay designed for single-organelle lipidomics. We demonstrate how Raman microscopy can be used to measure the local intracellular biochemical composition and lipidome hallmarks-lipid concentration and unsaturation level, cis/trans isomer ratio, sphingolipids and cholesterol levels in live cells-with a sub-micrometer resolution, which is sufficient for profiling of subcellular structures. These lipidome data were generated by a newly developed biomolecular component analysis software, which provides a shared platform for data analysis among different research groups. We outline a robust, reliable, and user-friendly protocol for quantitative analysis of lipid profiles in subcellular structures. This method expands the capabilities of Raman-based lipidomics toward the analysis of single organelles within either live or fixed cells, thus allowing an unprecedented measure of organellar lipid heterogeneity and opening new quantitative ways to study the phenotypic variability in normal and diseased cells.
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Affiliation(s)
- Adrian Lita
- Neuro-Oncology Branch, Center for Cancer Research , National Cancer Institute, National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Andrey N Kuzmin
- Advanced Cytometry Instrumentation Systems, LLC , 19 Elm Street , Buffalo , New York 14203 , United States.,Institute for Lasers, Photonics and Biophotonics , University at Buffalo, State University of New York , Buffalo , New York 14260 , United States
| | - Artem Pliss
- Advanced Cytometry Instrumentation Systems, LLC , 19 Elm Street , Buffalo , New York 14203 , United States.,Institute for Lasers, Photonics and Biophotonics , University at Buffalo, State University of New York , Buffalo , New York 14260 , United States
| | - Alexander Baev
- Institute for Lasers, Photonics and Biophotonics , University at Buffalo, State University of New York , Buffalo , New York 14260 , United States
| | - Alexander Rzhevskii
- Thermo Fisher Scientific , 2 Radcliff Road, Tewksbury , Massachusetts 01876 , United States
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research , National Cancer Institute, National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Mioara Larion
- Neuro-Oncology Branch, Center for Cancer Research , National Cancer Institute, National Institutes of Health , Bethesda , Maryland 20892 , United States
| | - Paras N Prasad
- Institute for Lasers, Photonics and Biophotonics , University at Buffalo, State University of New York , Buffalo , New York 14260 , United States
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Zhang P, Wang L, Fang Y, Zheng D, Lin T, Wang H. Label-Free Exosomal Detection and Classification in Rapid Discriminating Different Cancer Types Based on Specific Raman Phenotypes and Multivariate Statistical Analysis. Molecules 2019; 24:molecules24162947. [PMID: 31416240 PMCID: PMC6720265 DOI: 10.3390/molecules24162947] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 08/08/2019] [Accepted: 08/12/2019] [Indexed: 01/04/2023] Open
Abstract
Exosomes contain different functional bimolecular characteristics related to physiological or pathological processes and are now recognized as new biomarkers in different human cancers. Rapid detection and classification of cancer-related exosomes might be helpful in the rapid screening of patients that may have cancer. Here, we report a surface enhanced Raman scattering technology for rapid and label-free exosomal detection (Exo-SERS) to aid in the discrimination of different cancer cells based on specific Raman phenotypes and multivariate statistical analysis. The results demonstrated that exosomes derived from both tumor cells and normal cells exhibit special, unique Raman phenotypes. Using the Exo-SERS method, the cancer cells were accurately discriminated from normal cells, and subtle molecular changes between the different cell types could be detected with high sensitive. This research provides a rapid, label-free and non-destructive manner for detecting and discriminating between cancer types.
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Affiliation(s)
- Ping Zhang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
| | - Limin Wang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Yaping Fang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Dawei Zheng
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
| | - Taifeng Lin
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Huiqin Wang
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
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Ralbovsky NM, Lednev IK. Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 219:463-487. [PMID: 31075613 DOI: 10.1016/j.saa.2019.04.067] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 04/20/2019] [Accepted: 04/24/2019] [Indexed: 05/14/2023]
Abstract
Cancer is the second-leading cause of death worldwide. It affects an unfathomable number of people, with almost 16 million Americans currently living with it. While many cancers can be detected, current diagnostic efforts exhibit definite room for improvement. It is imperative that a person be diagnosed with cancer as early on in its progression as possible. An earlier diagnosis allows for the best treatment and intervention options available to be presented. Unfortunately, existing methods for diagnosing cancer can be expensive, invasive, inconclusive or inaccurate, and are not always made during initial stages of the disease. As such, there is a crucial unmet need to develop a singular universal method that is reliable, cost-effective, and non-invasive and can diagnose all forms of cancer early-on. Raman spectroscopy in combination with advanced statistical analysis is offered here as a potential solution for this need. This review covers recently published research in which Raman spectroscopy was used for the purpose of diagnosing cancer. The benefits and the risks of the methodology are presented; however, there is overwhelming evidence that suggests Raman spectroscopy is highly suitable for becoming the first universal method to be used for diagnosing cancer.
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Affiliation(s)
- Nicole M Ralbovsky
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, NY 12222, USA.
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Zheng Q, Kang W, Chen C, Shi X, Yang Y, Yu C. Diagnosis accuracy of Raman spectroscopy in colorectal cancer: A PRISMA-compliant systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e16940. [PMID: 31441886 PMCID: PMC6716686 DOI: 10.1097/md.0000000000016940] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The clinical significance of Raman spectroscopy (RS) in colorectal cancer (CRC) patients still remains underestimated. We performed this meta-analysis to elucidate the diagnostic value in CRC patients. METHODS We systematically searched electronic databases for published articles. Fixed effect model and random effect model were used to calculate the pooled sensitivity, specificity, diagnostic accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and positive posttest probability (PPP) of CRC. Meta-regression and subgroup analysis were conducted to assess potential source of heterogeneity. We also used Egger linear regression tests to assess risk of publication bias. RESULTS Thirteen studies had been included (679 patients: 186 with premalignant lesions and 493 with malignant lesions). The pooled sensitivity, specificity, diagnostic accuracy, PLR, NLR, DOR and PPP for CRC screening using RS were 0.94 (0.92-0.96), 0.94 (0.88-0.97), 0.96 (0.94-0.98), 16.44 (7.80-34.63), 0.062 (0.043-0.090), 263.65 (99.03-701.96) and 86%, respectively. CONCLUSION RS is a potentially useful tool for future CRC screening. It also offers potentially early detection for CRC patients.
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Affiliation(s)
- Qiang Zheng
- Department of Gastrointestinal Surgery, Department of General Surgery, the First Affiliated Hospital of Anhui Medical University
| | - Weibiao Kang
- Department of Gastrointestinal Surgery, Department of General Surgery, the First Affiliated Hospital of Anhui Medical University
| | - Changyu Chen
- Department of General Surgery, First Affiliated Hospital of Anhui Traditional Medical University, Hefei, China
| | - Xinxin Shi
- Department of Gastrointestinal Surgery, Department of General Surgery, the First Affiliated Hospital of Anhui Medical University
| | - Yang Yang
- Department of Gastrointestinal Surgery, Department of General Surgery, the First Affiliated Hospital of Anhui Medical University
| | - Changjun Yu
- Department of Gastrointestinal Surgery, Department of General Surgery, the First Affiliated Hospital of Anhui Medical University
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Karthick Kannan P, Shankar P, Blackman C, Chung CH. Recent Advances in 2D Inorganic Nanomaterials for SERS Sensing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2019; 31:e1803432. [PMID: 30773698 DOI: 10.1002/adma.201803432] [Citation(s) in RCA: 94] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 01/02/2019] [Indexed: 05/23/2023]
Abstract
Surface-enhanced Raman spectroscopy is a powerful and sensitive analytical tool that has found application in chemical and biomolecule analysis and environmental monitoring. Since its discovery in the early 1970s, a variety of materials ranging from noble metals to nanostructured materials have been employed as surface enhanced Raman scattering (SERS) substrates. In recent years, 2D inorganic materials have found wide use in the development of SERS-based chemical sensors owing to their unique thickness dependent physico-chemical properties with enhanced chemical-based charge-transfer processes. Here, recent advances in the application of various 2D inorganic nanomaterials, including graphene, boron nitride, semiconducting metal oxides, and transition metal chalcogenides, in chemical detection via SERS are presented. The background of the SERS concept, including its basic theory and sensing mechanism, along with the salient features of different nanomaterials used as substrates in SERS, extending from monometallic nanoparticles to nanometal oxides, is comprehensively discussed. The importance of 2D inorganic nanomaterials in SERS enhancement, along with their application toward chemical detection, is explained in detail with suitable examples and illustrations. In conclusion, some guidelines are presented for the development of this promising field in the future.
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Affiliation(s)
| | - Prabakaran Shankar
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
- Institute of Innovative Science and Technology, Tokai University, Hiratsuka, Kanagawa, 259 1292, Japan
| | - Chris Blackman
- Department of Chemistry, University College London, London, WC1H 0AJ, UK
| | - Chan-Hwa Chung
- School of Chemical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
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41
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Zheng C, Qing S, Wang J, Lü G, Li H, Lü X, Ma C, Tang J, Yue X. Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine. Photodiagnosis Photodyn Ther 2019; 27:156-161. [PMID: 31136828 DOI: 10.1016/j.pdpdt.2019.05.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 05/24/2019] [Accepted: 05/24/2019] [Indexed: 12/24/2022]
Abstract
In this report, we collected the Raman spectrum of cervical adenocarcinoma and cervical squamous cell carcinoma tissues by a micro-Raman spectroscopy system. We analysed, compared and summarized the characteristics and differences of the normalized mean Raman spectra of the two tissues and pointed out the major differences in the biochemical composition between the two tissues. The PCA-SVM model that was used to distinguish the two types of cervical cancer tissues was established. The accuracy of the model in differentiating cervical adenocarcinoma from cervical squamous cell carcinoma was 93.125%. The results of this study indicate that Raman spectroscopy of cervical adenocarcinoma and cervical squamous cell carcinoma tissue in combination with SVM (support vector analysis) and PCA (principal component analysis) can be useful for the classification of cervical adenocarcinoma and cervical squamous cell carcinoma tissues and for the exploration of the differences in biochemical compositions between the two types of cervical tissue. This study lays a foundation to further study Raman spectroscopy as a clinical diagnostic method for cervical cancer.
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Affiliation(s)
- Chengxia Zheng
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China; Changji Vocational and Technical College, Changji City 831100, Xinjiang Uygur Autonomous Region, China
| | - Song Qing
- Pathology Department of The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Jing Wang
- Gynecology Department of The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Guodong Lü
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of Central Asian High Incidence Diseases, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, Xinjiang, China
| | - Hongyi Li
- Quality of Products Supervision and Inspection Institute, Urumqi 830011, Xinjiang, China
| | - Xiaoyi Lü
- College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
| | - Cailing Ma
- Gynecology Department of The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China.
| | - Jun Tang
- Physics and Chemistry Detecting Center, Xinjiang University, Urumqi 830046, China
| | - Xiaxia Yue
- Physics and Chemistry Detecting Center, Xinjiang University, Urumqi 830046, China
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Waterhouse DJ, Fitzpatrick CRM, Pogue BW, O'Connor JPB, Bohndiek SE. A roadmap for the clinical implementation of optical-imaging biomarkers. Nat Biomed Eng 2019; 3:339-353. [PMID: 31036890 DOI: 10.1038/s41551-019-0392-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 03/17/2019] [Indexed: 02/07/2023]
Abstract
Clinical workflows for the non-invasive detection and characterization of disease states could benefit from optical-imaging biomarkers. In this Perspective, we discuss opportunities and challenges towards the clinical implementation of optical-imaging biomarkers for the early detection of cancer by analysing two case studies: the assessment of skin lesions in primary care, and the surveillance of patients with Barrett's oesophagus in specialist care. We stress the importance of technical and biological validations and clinical-utility assessments, and the need to address implementation bottlenecks. In addition, we define a translational roadmap for the widespread clinical implementation of optical-imaging technologies.
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Affiliation(s)
- Dale J Waterhouse
- Department of Physics, University of Cambridge, Cambridge, UK
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Catherine R M Fitzpatrick
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Engineering, University of Cambridge, Cambridge, UK
| | | | | | - Sarah E Bohndiek
- Department of Physics, University of Cambridge, Cambridge, UK.
- Cancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, UK.
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Sdobnov AY, Darvin ME, Schleusener J, Lademann J, Tuchin VV. Hydrogen bound water profiles in the skin influenced by optical clearing molecular agents-Quantitative analysis using confocal Raman microscopy. JOURNAL OF BIOPHOTONICS 2019; 12:e201800283. [PMID: 30565427 DOI: 10.1002/jbio.201800283] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 12/14/2018] [Accepted: 12/17/2018] [Indexed: 05/21/2023]
Abstract
Confocal Raman microscopy has been used to measure depth-dependent profiles of porcine skin ex vivo in the high wavenumber region after application of molecular optical clearing agents (OCAs). Glycerol (70%) and iohexol (100% Omnipaque [300]) water solutions were used as OCAs and topically applied to porcine ear skin for 30 and 60 minutes. Using Gaussian function-based deconvolution, the changes of hydrogen bound water molecule types have been microscopically analyzed down to the depth of 200 μm. Results show that both OCAs induced skin dehydration (reduction of total water), which is 51.3% for glycerol (60 minutes), 33.1% for glycerol (30 minutes), 8.3% for Omnipaque (60 minutes) and 4.4% for Omnipaque (30 minutes), on average for the 40 to 200 μm depths. Among the water types in the skin, the following reduction was observed in concentration of weakly bound (51.1%, 33.2%, 7.5% and 4.6%), strongly bound (50.4%, 33.0%, 7.9% and 3.4%), tightly bound (63.6%, 42.3%, 26.1% and 12.9%) and unbound (55.4%, 28.7%, 10.1% and 5.9%) water types on average for the 40 to 200 μm depths, post application of glycerol (60 minutes), glycerol (30 minutes), Omnipaque (60 minutes) and Omnipaque (30 minutes), respectively. As most concentrated in the skin, weakly and strongly bound water types are preferentially involved in the OCA-induced water flux in the skin, and thus, are responsible for optical clearing efficiency.
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Affiliation(s)
- Anton Y Sdobnov
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Department of Optics and Biophotonics, Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
| | - Maxim E Darvin
- Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Venerology and Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Johannes Schleusener
- Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Venerology and Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Jürgen Lademann
- Center of Experimental and Applied Cutaneous Physiology, Department of Dermatology, Venerology and Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Valery V Tuchin
- Department of Optics and Biophotonics, Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russia
- Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control of RAS, Saratov, Russia
- Interdisciplinary Laboratory of Biophotonics, Tomsk State University, Tomsk, Russia
- Laboratory of Molecular Imaging, Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
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Sato S, Sekine R, Kagoshima H, Kazama K, Kato A, Shiozawa M, Tanaka JI. All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions. JOURNAL OF THE ANUS RECTUM AND COLON 2019; 3:84-90. [PMID: 31559373 PMCID: PMC6752119 DOI: 10.23922/jarc.2018-039] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 02/18/2019] [Indexed: 12/31/2022]
Abstract
Objectives: Raman spectroscopy yields precise information, not only regarding the secondary structure of proteins but also regarding the discrimination between normal and malignant tissues. There is, however, no standard measurement method. We evaluated the use of a miniaturized, handheld, all-in-one Raman spectrometer with a 1064-nm laser excitation source for the diagnosis of colorectal cancer. The ultimate goal is real-time, in vivo diagnosis. Methods: Tissue samples were obtained from 20 patients who underwent surgery for colorectal cancer. The samples were irradiated with the portable Progeny™ Raman spectrometer, with which the Raman spectra were also obtained. We searched for characteristic Raman shifts and examined whether these shifts could distinguish the cancer tissues. To improve accuracy, we divided the spectra into 100 cm−1 bands and applied principal component analysis (PCA) to each range. We evaluated the contribution of each range for cancer discrimination. Results: Intensities at 1261 and 1427 cm−1 differed significantly between the normal tissues and cancer tissues, but these did not efficiently discriminate the cancer tissues. However, we were able to identify the characteristic spectral range in fingerprint regions; accuracy was 85.1%. Conclusions: Use of the all-in-one type Raman spectrometer can efficiently discriminate colorectal cancer, not on the basis of the intensities at 1261 and 1427 cm−1 but rather on the basis of PCA. Thus, Raman spectroscopy performed using a handheld device has potential to become a clinically powerful tool for producing high-quality data, obtaining highly reproducible measurements, and thus accurately diagnosing colorectal cancer.
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Affiliation(s)
- Sumito Sato
- Department of Gastroenterological and General Surgery, Showa University Fujigaoka Hospital, Yokohama, Japan.,Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Ryuichi Sekine
- Department of Gastroenterological and General Surgery, Showa University Fujigaoka Hospital, Yokohama, Japan
| | | | - Keisuke Kazama
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Aya Kato
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Manabu Shiozawa
- Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Jun-Ichi Tanaka
- Department of Gastroenterological and General Surgery, Showa University Fujigaoka Hospital, Yokohama, Japan.,Department of Minimally Invasive GI Endoscopic Surgery, Yokohama Tsurugamine Hospital, Yokohama, Japan
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Gaydou V, Polette M, Gobinet C, Kileztky C, Angiboust JF, Birembaut P, Vuiblet V, Piot O. New insights into spectral histopathology: infrared-based scoring of tumour aggressiveness of squamous cell lung carcinomas. Chem Sci 2019; 10:4246-4258. [PMID: 31057753 PMCID: PMC6471539 DOI: 10.1039/c8sc04320e] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 03/01/2019] [Indexed: 12/25/2022] Open
Abstract
Spectral histopathology, based on infrared interrogation of tissue sections, proved a promising tool for helping pathologists in characterizing histological structures in a quantitative and automatic manner.
Spectral histopathology, based on infrared interrogation of tissue sections, proved a promising tool for helping pathologists in characterizing histological structures in a quantitative and automatic manner. In cancer diagnosis, the use of chemometric methods permits establishing numerical models able to detect cancer cells and to characterize their tissular environment. In this study, we focused on exploiting multivariate infrared data to score the tumour aggressiveness in preneoplastic lesions and squamous cell lung carcinomas. These lesions present a wide range of aggressive phenotypes; it is also possible to encounter cases with various degrees of aggressiveness within the same lesion. Implementing an infrared-based approach for a more precise histological determination of the tumour aggressiveness should arouse interest among pathologists with direct benefits for patient care. In this study, the methodology was developed from a set of samples including all degrees of tumour aggressiveness and by constructing a chain of data processing steps for an automated analysis of tissues currently manipulated in routine histopathology.
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Affiliation(s)
- Vincent Gaydou
- BioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France .
| | - Myriam Polette
- INSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France.,Biopathology Laboratory , Centre Hospitalier et Universitaire de Reims , 45 Rue Cognacq-Jay , 51092 Reims , France
| | - Cyril Gobinet
- BioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France .
| | - Claire Kileztky
- INSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France
| | - Jean-François Angiboust
- BioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France .
| | - Philippe Birembaut
- INSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France.,Biopathology Laboratory , Centre Hospitalier et Universitaire de Reims , 45 Rue Cognacq-Jay , 51092 Reims , France
| | - Vincent Vuiblet
- BioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . .,Biopathology Laboratory , Centre Hospitalier et Universitaire de Reims , 45 Rue Cognacq-Jay , 51092 Reims , France
| | - Olivier Piot
- BioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . .,Platform of Cellular and Tissular Imaging (PICT) , University of Reims Champagne-Ardenne , 51 rue Cognacq-Jay , 51096 Reims , France
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Krbcova Z, Kukal J, Mares J, Habartova L, Setnicka V. Variational approach to cancerous tissue identification from in vivo Raman spectra. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2018.12.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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47
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Pinto M, Zorn KC, Tremblay JP, Desroches J, Dallaire F, Aubertin K, Marple E, Kent C, Leblond F, Trudel D, Lesage F. Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-10. [PMID: 30767440 PMCID: PMC6987653 DOI: 10.1117/1.jbo.24.2.025001] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 11/21/2018] [Indexed: 05/28/2023]
Abstract
Surgical excision of the whole prostate through a radical prostatectomy procedure is part of the standard of care for prostate cancer. Positive surgical margins (cancer cells having spread into surrounding nonresected tissue) occur in as many as 1 in 5 cases and strongly correlate with disease recurrence and the requirement of adjuvant treatment. Margin assessment is currently only performed by pathologists hours to days following surgery and the integration of a real-time surgical readout would benefit current prostatectomy procedures. Raman spectroscopy is a promising technology to assess surgical margins: its in vivo use during radical prostatectomy could help insure the extent of resected prostate and cancerous tissue is maximized. We thus present the design and development of a dual excitation Raman spectroscopy system (680- and 785-nm excitations) integrated to the robotic da Vinci surgical platform for in vivo use. Following validation in phantoms, spectroscopic data from 20 whole human prostates immediately following radical prostatectomy are obtained using the system. With this dataset, we are able to distinguish prostate from extra prostatic tissue with an accuracy, sensitivity, and specificity of 91%, 90.5%, and 96%, respectively. Finally, the integrated Raman spectroscopy system is used to collect preliminary spectroscopic data at the surgical margin in vivo in four patients.
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Affiliation(s)
- Michael Pinto
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Kevin C. Zorn
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | | | - Joannie Desroches
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Frédérick Dallaire
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Kelly Aubertin
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | | | | | - Frederic Leblond
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Dominique Trudel
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Canada
| | - Frederic Lesage
- Polytechnique Montreal, Montreal, Canada
- Centre de Recherche de l’Institut de Cardiologie de Montréal, Montréal, Canada
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Abramczyk H, Imiela A, Śliwińska A. Novel strategies of Raman imaging for exploring cancer lipid reprogramming. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2018.10.082] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Santos IP, Barroso EM, Bakker Schut TC, Caspers PJ, van Lanschot CGF, Choi DH, van der Kamp MF, Smits RWH, van Doorn R, Verdijk RM, Noordhoek Hegt V, von der Thüsen JH, van Deurzen CHM, Koppert LB, van Leenders GJLH, Ewing-Graham PC, van Doorn HC, Dirven CMF, Busstra MB, Hardillo J, Sewnaik A, Ten Hove I, Mast H, Monserez DA, Meeuwis C, Nijsten T, Wolvius EB, Baatenburg de Jong RJ, Puppels GJ, Koljenović S. Raman spectroscopy for cancer detection and cancer surgery guidance: translation to the clinics. Analyst 2018; 142:3025-3047. [PMID: 28726868 DOI: 10.1039/c7an00957g] [Citation(s) in RCA: 104] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Oncological applications of Raman spectroscopy have been contemplated, pursued, and developed at academic level for at least 25 years. Published studies aim to detect pre-malignant lesions, detect cancer in less invasive stages, reduce the number of unnecessary biopsies and guide surgery towards the complete removal of the tumour with adequate tumour resection margins. This review summarizes actual clinical needs in oncology that can be addressed by spontaneous Raman spectroscopy and it provides an overview over the results that have been published between 2007 and 2017. An analysis is made of the current status of translation of these results into clinical practice. Despite many promising results, most of the applications addressed in scientific studies are still far from clinical adoption and commercialization. The main hurdles are identified, which need to be overcome to ensure that in the near future we will see the first Raman spectroscopy-based solutions being used in routine oncologic diagnostic and surgical procedures.
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Affiliation(s)
- Inês P Santos
- Center for Optical Diagnostics and Therapy, Department of Dermatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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Combination of High-Resolution Optical Coherence Tomography and Raman Spectroscopy for Improved Staging and Grading in Bladder Cancer. APPLIED SCIENCES-BASEL 2018. [DOI: 10.3390/app8122371] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We present a combination of optical coherence tomography (OCT) and Raman spectroscopy (RS) for improved diagnosis and discrimination of different stages and grades of bladder cancer ex vivo by linking the complementary information provided by these two techniques. Bladder samples were obtained from biopsies dissected via transurethral resection of the bladder tumor (TURBT). As OCT provides structural information rapidly, it was used as a red-flag technology to scan the bladder wall for suspicious lesions with the ability to discriminate malignant tissue from healthy urothelium. Upon identification of degenerated tissue via OCT, RS was implemented to determine the molecular characteristics via point measurements at suspicious sites. Combining the complementary information of both modalities allows not only for staging, but also for differentiation of low-grade and high-grade cancer based on a multivariate statistical analysis. OCT was able to clearly differentiate between healthy and malignant tissue by tomogram inspection and achieved an accuracy of 71% in the staging of the tumor, from pTa to pT2, through texture analysis followed by k-nearest neighbor classification. RS yielded an accuracy of 93% in discriminating low-grade from high-grade lesions via principal component analysis followed by k-nearest neighbor classification. In this study, we show the potential of a multi-modal approach with OCT for fast pre-screening and staging of cancerous lesions followed by RS for enhanced discrimination of low-grade and high-grade bladder cancer in a non-destructive, label-free and non-invasive way.
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