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Meza Ramirez CA, Greenop M, Almoshawah YA, Martin Hirsch PL, Rehman IU. Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning. Expert Rev Mol Diagn 2023; 23:375-390. [PMID: 37060617 DOI: 10.1080/14737159.2023.2203816] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2023]
Abstract
INTRODUCTION In the UK alone, the incidence of cervical cancer is increasing, hence an urgent need for early and rapid detection of cancer before it develops. Spectroscopy in conjunction with machine learning offers a disruptive technology that promises to be pick up cancer early as compared to the current diagnostic techniques used. AREAS COVERED This review article explores the different spectroscopy techniques that have been used for the analysis of cervical cancer. Along with the extensive description of spectroscopic techniques, the various machine learning techniques are also described as well as the applications that have been explored in the diagnosis of cervical cancer. This review delimits the literature specifically associated with cervical cancer studies performed solely with the use of a spectroscopy technique, and machine learning. EXPERT OPINION Although there are several methods and techniques to detect cervical cancer, the clinical sector requires to introduce new diagnostic technologies that help improving the quality of life of patient. These innovative technologies involve spectroscopy as a qualitative method and machine learning as a quantitative method. In this article, both the techniques and methodologies that allow and promise to be a new screening tool for the detection of cervical cancer is covered.
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Affiliation(s)
- Carlos A Meza Ramirez
- School of Engineering, Faculty of Science and Technology, Lancaster University, Gillow Avenue, Lancaster LA1 4YW, UK
| | - Michael Greenop
- School of Engineering, Faculty of Science and Technology, Lancaster University, Gillow Avenue, Lancaster LA1 4YW, UK
| | - Yasser A Almoshawah
- School of Engineering, Faculty of Science and Technology, Lancaster University, Gillow Avenue, Lancaster LA1 4YW, UK
- Mechanical Engineering Department, College of Engineering, Shaqra University, Dawadmi 11911, Saudi Arabia
| | - Pierre L Martin Hirsch
- Gynaecological Oncology, Clinical Research Facility, Lancashire Teaching Hospitals, Sharoe Green Lane, Preston PR2 9HT, UK
| | - Ihtesham U Rehman
- School of Medicine, University of Central Lancashire, Preston, Lancashire PR1 2HE, UK
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Mochizuki K, Kumamoto Y, Maeda S, Tanuma M, Kasai A, Takemura M, Harada Y, Hashimoto H, Tanaka H, Smith NI, Fujita K. High-throughput line-illumination Raman microscopy with multislit detection. BIOMEDICAL OPTICS EXPRESS 2023; 14:1015-1026. [PMID: 36950233 PMCID: PMC10026569 DOI: 10.1364/boe.480611] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/27/2022] [Accepted: 01/02/2023] [Indexed: 06/18/2023]
Abstract
Raman microscopy is an emerging tool for molecular imaging and analysis of living samples. Use of Raman microscopy in life sciences is, however, still limited because of its slow measurement speed for spectral imaging and analysis. We developed a multiline-illumination Raman microscope to achieve ultrafast Raman spectral imaging. A spectrophotometer equipped with a periodic array of confocal slits detects Raman spectra from a sample irradiated by multiple line illuminations. A comb-like Raman hyperspectral image is formed on a two-dimensional detector in the spectrophotometer, and a hyperspectral Raman image is acquired by scanning the sample with multiline illumination array. By irradiating a sample with 21 simultaneous illumination lines, we achieved high-throughput Raman hyperspectral imaging of mouse brain tissue, acquiring 1108800 spectra in 11.4 min. We also measured mouse kidney and liver tissue as well as conducted label-free live-cell molecular imaging. The ultrafast Raman hyperspectral imaging enabled by the presented technique will expand the possible applications of Raman microscopy in biological and medical fields.
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Affiliation(s)
- Kentaro Mochizuki
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- These authors contributed equally
| | - Yasuaki Kumamoto
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- These authors contributed equally
| | - Shunsuke Maeda
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
| | - Masato Tanuma
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Atsushi Kasai
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Masashi Takemura
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Hitoshi Hashimoto
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Laboratory of Molecular Neuropharmacology, Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
- Molecular Research Center for Children’s Mental Development, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka 565-0871, Japan
- Institute for Datability Science, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Molecular Pharmaceutical Sciences, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hideo Tanaka
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
| | - Nicholas Isaac Smith
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Biophotonics Laboratory, Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan
| | - Katsumasa Fujita
- Department of Applied Physics, Osaka University, Suita, Osaka 565-0871, Japan
- Department of Pathology and Cell Regulation, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto 602-8566, Japan
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka 565-0871, Japan
- Advanced Photonics and Biosensing Open Innovation Laboratory, AIST-Osaka University, Osaka University, Suita, Osaka 565-0871, Japan
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Barik AK, M SP, Lukose J, Upadhya R, Pai MV, Kartha VB, Chidangil S. In vivo spectroscopy: optical fiber probes for clinical applications. Expert Rev Med Devices 2022; 19:657-675. [PMID: 36175393 DOI: 10.1080/17434440.2022.2130046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Fiber optic probe based in-vivo spectroscopy techniques are fast and highly objective methods for intraoperative diagnoses and minimally invasive surgical interventions for all procedures where endoscopic observations are carried out for cancers of different types. The Raman spectral features provide molecular fingerprint-type information and can reveal the subjects' pathological state in label-free manner, making endoscopy multiplexed fiber optic probe-based devices with the potential for translation from bench to bedside for routine applications. AREAS COVERED This review provides a general overview of different fiber-optic probes for in-vivo measurements with emphasis on Raman spectroscopy for biomedical application. Various aspects such as fiber-optic probe, radiation source, detector, and spectrometer for extracting optimum spectral features have also been discussed. EXPERT OPINION : Optical spectroscopy-based fiber probe systems with "Chip-on-Tip" technology, combined with machine learning, can in the near future, become a complimentary diagnostic tool to magnetic resonance imaging (MRI), computed tomography (CT) scan, ultrasound, etc. Hyperspectral imaging and fluorescence-based devices are in the advanced stage of technology readiness level (TRL), and with advances in lasers and miniature spectroscopy systems, probe-based Raman devices are also coming up.
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Affiliation(s)
- Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Sanoop Pavithran M
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Rekha Upadhya
- Department of Obstetrics and Gynaecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education -576104, Manipal, India
| | - Muralidhar V Pai
- Department of Obstetrics and Gynaecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education -576104, Manipal, India
| | - V B Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
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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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Ogrinc N, Saudemont P, Takats Z, Salzet M, Fournier I. Cancer Surgery 2.0: Guidance by Real-Time Molecular Technologies. Trends Mol Med 2021; 27:602-615. [PMID: 33965341 DOI: 10.1016/j.molmed.2021.04.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/14/2022]
Abstract
In vivo cancer margin delineation during surgery remains a major challenge. Despite the availability of several image guidance techniques and intraoperative assessment, clear surgical margins and debulking efficiency remain scarce. For this reason, there is particular interest in developing rapid intraoperative tools with high sensitivity and specificity to help guide cancer surgery in vivo. Recently, several emerging technologies including intraoperative mass spectrometry have paved the way for molecular guidance in a clinical setting. We evaluate these techniques and assess their relevance for intraoperative surgical guidance and how they can transform the future of molecular cancer surgery, diagnostics, patient management and care.
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Affiliation(s)
- Nina Ogrinc
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Philippe Saudemont
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Zoltan Takats
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
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Artemyev DN, Kukushkin VI, Avraamova ST, Aleksandrov NS, Kirillov YA. Using the Method of "Optical Biopsy" of Prostatic Tissue to Diagnose Prostate Cancer. Molecules 2021; 26:molecules26071961. [PMID: 33807257 PMCID: PMC8036841 DOI: 10.3390/molecules26071961] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/21/2021] [Accepted: 03/26/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Analytical discrimination models of Raman spectra of prostate cancer tissue were constructed by using the projections onto latent structures data analysis (PLS-DA) method for different wavelengths of exciting radiation—532 and 785 nm. These models allowed us to divide the Raman spectra of prostate cancer and the spectra of hyperplasia sites for validation datasets with the accuracy of 70–80%, depending on the specificity value. Meanwhile, for the calibration datasets, the accuracy values reached 100% for the excitation of a laser with a wavelength of 785 nm. Due to the registration of Raman “fingerprints”, the main features of cellular metabolism occurring in the tissue of a malignant prostate tumor were confirmed, namely the absence of aerobic glycolysis, over-expression of markers, and a strong increase in the concentration of cholesterol and its esters, as well as fatty acids and glutamic acid. Abstract The possibilities of using optical spectroscopy methods in the differential diagnosis of prostate cancer were investigated. Analytical discrimination models of Raman spectra of prostate tissue were constructed by using the projections onto latent structures data analysis(PLS-DA) method for different wavelengths of exciting radiation—532 and 785 nm. These models allowed us to divide the Raman spectra of prostate cancer and the spectra of hyperplasia sites for validation datasets with the accuracy of 70–80%, depending on the specificity value. Meanwhile, for the calibration datasets, the accuracy values reached 100% for the excitation of a laser with a wavelength of 785 nm. Due to the registration of Raman “fingerprints”, the main features of cellular metabolism occurring in the tissue of a malignant prostate tumor were confirmed, namely the absence of aerobic glycolysis, over-expression of markers (FASN, SREBP1, stearoyl-CoA desaturase, etc.), and a strong increase in the concentration of cholesterol and its esters, as well as fatty acids and glutamic acid. The presence of an ensemble of Raman peaks with increased intensity, inherent in fatty acid, beta-glucose, glutamic acid, and cholesterol, is a fundamental factor for the identification of prostate cancer.
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Affiliation(s)
- Dmitry N. Artemyev
- Laser and Biotechnical Systems Department, Samara National Research University, 443086 Samara, Russia;
| | - Vladimir I. Kukushkin
- Laboratory of Non-Equilibrium Electronic Processes, Institute of Solid State Physics Russian Academy of Sciences, 142432 Chernogolovka, Russia
- Correspondence: ; Tel.: +7-905-502-9277
| | - Sofia T. Avraamova
- Department of Pathological Anatomy, The First Sechenov Moscow State Medical University under Ministry of Health of the Russian Federation, 119146 Moscow, Russia; (S.T.A.); (N.S.A.)
| | - Nikolay S. Aleksandrov
- Department of Pathological Anatomy, The First Sechenov Moscow State Medical University under Ministry of Health of the Russian Federation, 119146 Moscow, Russia; (S.T.A.); (N.S.A.)
| | - Yuri A. Kirillov
- Laboratory of Clinical Morphology, Research Institute of Human Morphology, 117418 Moscow, Russia;
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Hu D, Xu X, Zhao Z, Li C, Tian Y, Liu Q, Shao B, Chen S, Zhao Y, Li L, Bi H, Chen A, Fu C, Cui X, Zeng Y. Detecting urine metabolites of bladder cancer by surface-enhanced Raman spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 247:119108. [PMID: 33161263 DOI: 10.1016/j.saa.2020.119108] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/10/2020] [Accepted: 10/13/2020] [Indexed: 05/20/2023]
Abstract
AIM Metabolites present in urine reflect the current phenotype of the cancer state. Surface-enhanced Raman spectroscopy (SERS) can be used in urine supernatant or sediment to largely reflect the metabolic status of the body. MATERIALS & METHODS SERS was performed to detect bladder cancer (BCa) and predict tumour grade from urine supernatant, which contains various system metabolites, as well as from urine sediment, which contains exfoliated tumour cells. RESULTS & DISCUSSION Upon combining the urinary supernatant and sediment results, the total diagnostic sensitivity and specificity of SERS were 100% and 98.85%, respectively, for high-grade tumours and 97.53% and 90.80%, respectively, for low-grade tumours. CONCLUSION The present results suggest high potential for SERS to detect BCa from urine, especially when combining both urinary supernatant and sediment results.
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Affiliation(s)
- Dayu Hu
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China
| | - Xiaosong Xu
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China
| | - Zeyin Zhao
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China
| | - Changqi Li
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Ye Tian
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China
| | - Qiang Liu
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Bo Shao
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Shuo Chen
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China; Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Wenhua Road, Shenyang 110819, China
| | - Yue Zhao
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China
| | - Ling Li
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Huan Bi
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Ang Chen
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Cheng Fu
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China
| | - Xiaoyu Cui
- College of Medicine and Biological Information Engineering, Northeastern University, No. 500 Wisdom Street, Shenyang 110169, China; Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Wenhua Road, Shenyang 110819, China.
| | - Yu Zeng
- Department of Urology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, 44 Xiaoheyan Road, Shenyang, Liaoning 110042, China.
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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: 15] [Impact Index Per Article: 5.0] [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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Heng HPS, Shu C, Zheng W, Lin K, Huang Z. Advances in real‐time fiber‐optic Raman spectroscopy for early cancer diagnosis: Pushing the frontier into clinical endoscopic applications. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.202000018] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Howard Peng Sin Heng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
- NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore
| | - Chi Shu
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
| | - Zhiwei Huang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering National University of Singapore Singapore Singapore
- NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore
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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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Takamura A, Halamkova L, Ozawa T, Lednev IK. Phenotype Profiling for Forensic Purposes: Determining Donor Sex Based on Fourier Transform Infrared Spectroscopy of Urine Traces. Anal Chem 2019; 91:6288-6295. [PMID: 30986037 DOI: 10.1021/acs.analchem.9b01058] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Forensic science is an important field of analytical chemistry where vibrational spectroscopy, in particular Fourier transform infrared spectroscopy and Raman spectroscopy, present advantages as they have a nondestructive nature, high selectivity, and no need for sample preparation. Herein, we demonstrate a method for determination of donor sex, based on attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy of dry urine traces. Trace body fluid evidence is of special importance to the modern criminal investigation as a source of individualizing DNA evidence. However, individual identification of a urine donor is generally difficult because of the small amount of DNA. Therefore, the development of an innovative method to provide phenotype information about the urine donor-including sex-is highly desirable. In this study, we developed a multivariate discriminant model for the ATR FT-IR spectra of dry urine to identify the donor sex. Rigorous selection of significant wavenumbers on the spectrum using a genetic algorithm enabled superb discrimination performance for the model and conclusively indicated a chemical origin for donor sex differences, which was supported by physiological knowledge. Although further investigations need to be conducted, this proof-of-concept study demonstrates the great potential of the developed methodology for phenotype profiling based on the analysis of urine traces.
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Affiliation(s)
- Ayari Takamura
- Department of Chemistry, Graduate School of Science , The University of Tokyo , 7-3-1, Hongo , Bunkyo, Tokyo 113-0033 , Japan.,First Department of Forensic Science , National Research Institute of Police Science , 6-3-1, Kashiwanoha , Kashiwa , Chiba 277-0882 , Japan
| | - Lenka Halamkova
- Department of Chemistry , University at Albany, SUNY , 1400 Washington Avenue , Albany , New York 12222 , United States
| | - Takeaki Ozawa
- Department of Chemistry, Graduate School of Science , The University of Tokyo , 7-3-1, Hongo , Bunkyo, Tokyo 113-0033 , Japan
| | - Igor K Lednev
- Department of Chemistry , University at Albany, SUNY , 1400 Washington Avenue , Albany , New York 12222 , United States
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Microfluidics-Driven Fabrication of a Low Cost and Ultrasensitive SERS-Based Paper Biosensor. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9071387] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Surface-enhanced Raman scattering (SERS) spectroscopy stands out due to its sensitivity, selectivity, and multiplex ability. The development of ready-to-use, simple, and low-cost SERS substrates is one of the main challenges of the field. In this paper, the intrinsic reproducibility of microfluidics technology was used for the fabrication of self-assembled nanoparticle structures over a paper film. The paper SERS substrates were fabricated by assembling anisotropic particles, gold nanostars (GNSs), and nanorods (NRs) onto paper to offer an extra enhancement to reach ultra-sensitive detection limits. A polydimethylsiloxane PDMS-paper hybrid device was used to control the drying kinetics of the nanoparticles over the paper substrate. This method allowed a high reproducibility and homogeneity of the fabrication of SERS substrates that reach limits of detection down to the picomolar range. This simple and low-cost fabrication of a paper-based sensing device was tested for the discrimination of different cell lineages.
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Kumamoto Y, Mochizuki K, Hashimoto K, Harada Y, Tanaka H, Fujita K. High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy. J Phys Chem B 2019; 123:2654-2661. [PMID: 30830787 DOI: 10.1021/acs.jpcb.8b11295] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
We investigated the use of narrowband Raman spectra for rapid label-free molecular imaging aimed at cell classification using principal component regression and linear discriminant analysis. In the classification of breast nontumorigenic epithelial and cancer cell lines, the classification accuracies using a spectral range of 100 cm-1 were equivalent to or better than that with using the fingerprint and high-wavenumber regions. Narrowing the Raman spectral range for analysis allows reduction of the charge-coupled device (CCD) pixels required for spectrum detection, resulting in the improvement of image acquisition speed with adequate classification accuracy. Our measurements revealed that the wavenumber region at 1397-1501 cm-1 can provide molecular information sufficient for cell classification without causing notable errors in the baseline-correction. A spectral resolution of ∼9 cm-1 was found to be sufficient to provide high accuracy in cell classification, which allowed us to apply pixel binning at the CCD readout for further acceleration of the imaging speed. As a result, the acquisition time for a 1200 × 1500 pixels Raman hyperspectral image at 1397-1501 cm-1 was reduced to 21 min. Under this condition, different cell lines were classified at accuracies higher than 90%. The presented approach will improve throughput of cell and tissue analysis and classification using Raman spectroscopy and extend practical uses of Raman imaging in biology and medicine.
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Affiliation(s)
- Yasuaki Kumamoto
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences , Kyoto Prefectural University of Medicine , 465 Kajiicho, Kawaramachi-Hirokoji , Kamigyo, Kyoto , Kyoto 6028566 , Japan
| | | | - Kosuke Hashimoto
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences , Kyoto Prefectural University of Medicine , 465 Kajiicho, Kawaramachi-Hirokoji , Kamigyo, Kyoto , Kyoto 6028566 , Japan
| | - Yoshinori Harada
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences , Kyoto Prefectural University of Medicine , 465 Kajiicho, Kawaramachi-Hirokoji , Kamigyo, Kyoto , Kyoto 6028566 , Japan
| | - Hideo Tanaka
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences , Kyoto Prefectural University of Medicine , 465 Kajiicho, Kawaramachi-Hirokoji , Kamigyo, Kyoto , Kyoto 6028566 , Japan
| | - Katsumasa Fujita
- Department of Pathology and Cell Regulation, Graduate School of Medical Sciences , Kyoto Prefectural University of Medicine , 465 Kajiicho, Kawaramachi-Hirokoji , Kamigyo, Kyoto , Kyoto 6028566 , Japan
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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: 103] [Impact Index Per Article: 17.2] [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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15
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Raman Spectroscopy and Imaging for Cancer Diagnosis. JOURNAL OF HEALTHCARE ENGINEERING 2018; 2018:8619342. [PMID: 29977484 PMCID: PMC6011081 DOI: 10.1155/2018/8619342] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 05/12/2018] [Indexed: 12/20/2022]
Abstract
Raman scattering has long been used to analyze chemical compositions in biological systems. Owing to its high chemical specificity and noninvasive detection capability, Raman scattering has been widely employed in cancer screening, diagnosis, and intraoperative surgical guidance in the past ten years. In order to overcome the weak signal of spontaneous Raman scattering, coherent Raman scattering and surface-enhanced Raman scattering have been developed and recently applied in the field of cancer research. This review focuses on innovative studies of the use of Raman scattering in cancer diagnosis and their potential to transition from bench to bedside.
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Cordero E, Latka I, Matthäus C, Schie I, Popp J. In-vivo Raman spectroscopy: from basics to applications. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-23. [PMID: 29956506 DOI: 10.1117/1.jbo.23.7.071210] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 05/23/2018] [Indexed: 05/20/2023]
Abstract
For more than two decades, Raman spectroscopy has found widespread use in biological and medical applications. The instrumentation and the statistical evaluation procedures have matured, enabling the lengthy transition from ex-vivo demonstration to in-vivo examinations. This transition goes hand-in-hand with many technological developments and tightly bound requirements for a successful implementation in a clinical environment, which are often difficult to assess for novice scientists in the field. This review outlines the required instrumentation and instrumentation parameters, designs, and developments of fiber optic probes for the in-vivo applications in a clinical setting. It aims at providing an overview of contemporary technology and clinical trials and attempts to identify future developments necessary to bring the emerging technology to the clinical end users. A comprehensive overview of in-vivo applications of fiber optic Raman probes to characterize different tissue and disease types is also given.
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Affiliation(s)
- Eliana Cordero
- Leibniz-Institut für Photonische Technologien e.V., Germany
| | - Ines Latka
- Leibniz-Institut für Photonische Technologien e.V., Germany
| | - Christian Matthäus
- Leibniz-Institut für Photonische Technologien e.V., Germany
- Institut für Physikalische Chemie, Friedrich-Schiller-Univ. Jena, Germany
- Abbe Ctr. of Photonics, Germany
| | - Iwan Schie
- Leibniz-Institut für Photonische Technologien e.V., Germany
| | - Jürgen Popp
- Leibniz-Institut für Photonische Technologien e.V., Germany
- Institute für Physikalische Chemie, Friedrich-Schiller-Univ. Jena, Germany
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O’Brien CM, Vargis E, Rudin A, Slaughter JC, Thomas G, Newton JM, Reese J, Bennett KA, Mahadevan-Jansen A. In vivo Raman spectroscopy for biochemical monitoring of the human cervix throughout pregnancy. Am J Obstet Gynecol 2018; 218:528.e1-528.e18. [PMID: 29410109 DOI: 10.1016/j.ajog.2018.01.030] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Revised: 01/11/2018] [Accepted: 01/23/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND The cervix must undergo significant biochemical remodeling to allow for successful parturition. This process is not fully understood, especially in instances of spontaneous preterm birth. In vivo Raman spectroscopy is an optical technique that can be used to investigate the biochemical composition of tissue longitudinally and noninvasively in human beings, and has been utilized to measure physiology and disease states in a variety of medical applications. OBJECTIVE The purpose of this study is to measure in vivo Raman spectra of the cervix throughout pregnancy in women, and to identify biochemical markers that change with the preparation for delivery and postpartum repair. STUDY DESIGN In all, 68 healthy pregnant women were recruited. Raman spectra were measured from the cervix of each patient monthly in the first and second trimesters, weekly in the third trimester, and at the 6-week postpartum visit. Raman spectra were measured using an in vivo Raman system with an optical fiber probe to excite the tissue with 785 nm light. A spectral model was developed to highlight spectral regions that undergo the most changes throughout pregnancy, which were subsequently used for identifying Raman peaks for further analysis. These peaks were analyzed longitudinally to determine if they underwent significant changes over the course of pregnancy (P < .05). Finally, 6 individual components that comprise key biochemical constituents of the human cervix were measured to extract their contributions in spectral changes throughout pregnancy using a linear combination method. Patient factors including body mass index and parity were included as variables in these analyses. RESULTS Raman peaks indicative of extracellular matrix proteins (1248 and 1254 cm-1) significantly decreased (P < .05), while peaks corresponding to blood (1233 and 1563 cm-1) significantly increased (P < .0005) in a linear manner throughout pregnancy. In the postpartum cervix, significant increases in peaks corresponding to actin (1003, 1339, and 1657 cm-1) and cholesterol (1447 cm-1) were observed when compared to late gestation, while signatures from blood significantly decreased. Postpartum actin signals were significantly higher than early pregnancy, whereas extracellular matrix proteins and water signals were significantly lower than early weeks of gestation. Parity had a significant effect on blood and extracellular matrix protein signals, with nulliparous patients having significant increases in blood signals throughout pregnancy, and higher extracellular matrix protein signals in early pregnancy compared to patients with prior pregnancies. Body mass index significantly affected actin signal contribution, with low body mass index patients showing decreasing actin contribution throughout pregnancy and high body mass index patients demonstrating increasing actin signals. CONCLUSION Raman spectroscopy was successfully used to biochemically monitor cervical remodeling in pregnant women during prenatal visits. This foundational study has demonstrated sensitivity to known biochemical dynamics that occur during cervical remodeling, and identified patient variables that have significant effects on Raman spectra throughout pregnancy. Raman spectroscopy has the potential to improve our understanding of cervical maturation, and be used as a noninvasive preterm birth risk assessment tool to reduce the incidence, morbidity, and mortality caused by preterm birth.
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Ming LC, Gangodu NR, Loh T, Zheng W, Wang J, Lin K, Zhiwei H. Real time near-infrared Raman spectroscopy for the diagnosis of nasopharyngeal cancer. Oncotarget 2018; 8:49443-49450. [PMID: 28533478 PMCID: PMC5564780 DOI: 10.18632/oncotarget.17703] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 04/24/2017] [Indexed: 12/31/2022] Open
Abstract
Near-infrared (NIR) Raman spectroscopy has been investigated as a tool to differentiate nasopharyngeal cancer (NPC) from normal nasopharyngeal tissue in an ex-vivo setting. Recently, we have miniaturized the fiber-optic Raman probe to investigate its utility in real time in-vivo surveillance of NPC patients. A posterior probability model using partial linear square (PLS) mathematical technique was constructed to verify the sensitivity and specificity of Raman spectroscopy in diagnosing NPC from post-irradiated and normal tissue using a diagnostic algorithm from three significant latent variables. NIR-Raman signals of 135 sites were measured from 79 patients with either newly diagnosed NPC (N = 12), post irradiated nasopharynx (N = 37) and normal nasopharynx (N = 30). The mean Raman spectra peaks identified differences at several Raman peaks at 853 cm−1, 940 cm−1, 1078 cm−1, 1335 cm−1, 1554 cm−1, 2885 cm−1 and 2940 cm−1 in the three different nasopharyngeal conditions. The sensitivity and specificity of distinguishing Raman signatures among normal nasopharynx versus NPC and post-irradiated nasopharynx versus NPC were 91% and 95%; and 77% and 96% respectively. Real time near-infrared Raman spectroscopy has a high specificity in distinguishing malignant from normal nasopharyngeal tissue in vivo, and may be investigated as a novel non-invasive surveillance tool in patients with nasopharyngeal cancer.
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Affiliation(s)
- Lim Chwee Ming
- Department of Otolaryngology-Head and Neck Surgery, National University Health System, Singapore.,Division of Surgical Oncology, National Cancer Institute of Singapore, Singapore
| | - Nagaraja Rao Gangodu
- Department of Otolaryngology-Head and Neck Surgery, National University Health System, Singapore
| | - Thomas Loh
- Department of Otolaryngology-Head and Neck Surgery, National University Health System, Singapore.,Division of Surgical Oncology, National Cancer Institute of Singapore, Singapore
| | - Wei Zheng
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jianfeng Wang
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore
| | - Kan Lin
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Huang Zhiwei
- Optical Bioimaging Laboratory, Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore
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20
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Lin H, Luo Y, Sun Q, Zhang J, Tuo Y, Zhang Z, Wang L, Deng K, Chen Y, Huang P, Wang Z. Identification of Pulmonary Edema in Forensic Autopsy Cases of Sudden Cardiac Death Using Fourier Transform Infrared Microspectroscopy: A Pilot Study. Anal Chem 2018; 90:2708-2715. [PMID: 29364657 DOI: 10.1021/acs.analchem.7b04642] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Many studies have proven the usefulness of biofluid-based infrared spectroscopy in the clinical domain for diagnosis and monitoring the progression of diseases. Here we present a state-of-the-art study in the forensic field that employed Fourier transform infrared microspectroscopy for postmortem diagnosis of sudden cardiac death (SCD) by in situ biochemical investigation of alveolar edema fluid in lung tissue sections. The results of amide-related spectral absorbance analysis demonstrated that the pulmonary edema fluid of the SCD group was richer in protein components than that of the neurologic catastrophe (NC) and lethal multiple injuries (LMI) groups. The complementary results of unsupervised principle component analysis (PCA) and genetic algorithm-guided partial least-squares discriminant analysis (GA-PLS-DA) further indicated different global spectral band patterns of pulmonary edema fluids between these three groups. Ultimately, a random forest (RF) classification model for postmortem diagnosis of SCD was built and achieved good sensitivity and specificity scores of 97.3% and 95.5%, respectively. Classification predictions of unknown pulmonary edema fluid collected from 16 cases were also performed by the model, resulting in 100% correct discrimination. This pilot study demonstrates that FTIR microspectroscopy in combination with chemometrics has the potential to be an effective aid for postmortem diagnosis of SCD.
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Affiliation(s)
- Hancheng Lin
- Department of Forensic Pathology, Xi'an Jiaotong University , Xi'an, 710061, China.,Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Yiwen Luo
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Qiran Sun
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Ji Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Ya Tuo
- Department of Biochemistry and Physiology, Shanghai University of Medicine and Health Sciences , Shanghai, 201318, China
| | - Zhong Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Lei Wang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Kaifei Deng
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Yijiu Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Ping Huang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science , Shanghai, 200063, China
| | - Zhenyuan Wang
- Department of Forensic Pathology, Xi'an Jiaotong University , Xi'an, 710061, China
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Carvalho LFCS, Nogueira MS, Neto LPM, Bhattacharjee TT, Martin AA. Raman spectral post-processing for oral tissue discrimination - a step for an automatized diagnostic system. BIOMEDICAL OPTICS EXPRESS 2017; 8:5218-5227. [PMID: 29188115 PMCID: PMC5695965 DOI: 10.1364/boe.8.005218] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 03/18/2017] [Accepted: 03/27/2017] [Indexed: 05/18/2023]
Abstract
Most oral injuries are diagnosed by histopathological analysis of a biopsy, which is an invasive procedure and does not give immediate results. On the other hand, Raman spectroscopy is a real time and minimally invasive analytical tool with potential for the diagnosis of diseases. The potential for diagnostics can be improved by data post-processing. Hence, this study aims to evaluate the performance of preprocessing steps and multivariate analysis methods for the classification of normal tissues and pathological oral lesion spectra. A total of 80 spectra acquired from normal and abnormal tissues using optical fiber Raman-based spectroscopy (OFRS) were subjected to PCA preprocessing in the z-scored data set, and the KNN (K-nearest neighbors), J48 (unpruned C4.5 decision tree), RBF (radial basis function), RF (random forest), and MLP (multilayer perceptron) classifiers at WEKA software (Waikato environment for knowledge analysis), after area normalization or maximum intensity normalization. Our results suggest the best classification was achieved by using maximum intensity normalization followed by MLP. Based on these results, software for automated analysis can be generated and validated using larger data sets. This would aid quick comprehension of spectroscopic data and easy diagnosis by medical practitioners in clinical settings.
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Affiliation(s)
- Luis Felipe C S Carvalho
- Univap/Instituto de Pesquisa e Desenvolvimento, Laboratório de Espectroscopia Vibracional Biomédica, Avenida Shishima Hifumi, 2911, São José dos Campos/SP, CEP: 12244-000, Brazil
| | - Marcelo Saito Nogueira
- Universidade de São Paulo/ São Carlos Institute of Physics, Optics Group, Biophotonics Division, Avenida Trabalhador São Carlense, 400, São Carlos/SP, CEP: 13566-590, Brazil
| | - Lázaro P M Neto
- Univap/Instituto de Pesquisa e Desenvolvimento, Laboratório de Espectroscopia Vibracional Biomédica, Avenida Shishima Hifumi, 2911, São José dos Campos/SP, CEP: 12244-000, Brazil
| | - Tanmoy T Bhattacharjee
- Univap/Instituto de Pesquisa e Desenvolvimento, Laboratório de Espectroscopia Vibracional Biomédica, Avenida Shishima Hifumi, 2911, São José dos Campos/SP, CEP: 12244-000, Brazil
| | - Airton A Martin
- Biomedical Engineering Innovation Center - Biomedical Vibrational Spectroscopy Group, Universidade Brasil - UnBr - Rua Carolina Fonseca, 235 - 08230-030 - Itaquera, São Paulo/SP/ Visiting Professor Universidade Federal do Piauí - UFPI - Campus Ministro Petrônio Portella Departamento de Física - CCN Bairro Ininga Teresina, PI, CEP: 64049-550, Brazil
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Shaikh R, Prabitha VG, Dora TK, Chopra S, Maheshwari A, Deodhar K, Rekhi B, Sukumar N, Krishna CM, Subhash N. A comparative evaluation of diffuse reflectance and Raman spectroscopy in the detection of cervical cancer. JOURNAL OF BIOPHOTONICS 2017; 10:242-252. [PMID: 26929106 DOI: 10.1002/jbio.201500248] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 01/13/2016] [Accepted: 01/25/2016] [Indexed: 05/09/2023]
Abstract
Optical spectroscopic techniques show improved diagnostic accuracy for non-invasive detection of cervical cancers. In this study, sensitivity and specificity of two in vivo modalities, i.e diffuse reflectance spectroscopy (DRS) and Raman spectroscopy (RS), were compared by utilizing spectra recorded from the same sites (67 tumor (T), 22 normal cervix (C), and 57 normal vagina (V)). Data was analysed using principal component - linear discriminant analysis (PC-LDA), and validated using leave-one-out-cross-validation (LOOCV). Sensitivity, specificity, positive predictive value and negative predictive value for classification between normal (N) and tumor (T) sites were 91%, 96%, 95% and 93%, respectively for RS and 85%, 95%, 93% and 88%, respectively for DRS. Even though DRS revealed slightly lower diagnostic accuracies, owing to its lower cost and portability, it was found to be more suited for cervical cancer screening in low resource settings. On the other hand, RS based devices could be ideal for screening patients with centralised facilities in developing countries.
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Affiliation(s)
- Rubina Shaikh
- Chilakapati Laboratory, ACTREC, Kharghar, Navi Mumbai, 410210, India
| | - Vasumathi G Prabitha
- Biophotonics Laboratory, National Centre for Earth Science Studies, Akkulam, Thiruvananthapuram, 695 031, Kerala, India
| | - Tapas Kumar Dora
- Tata Memorial Center, Radiation Oncology, ACTREC, Kharghar, Navi Mumbai, 410210, India
| | - Supriya Chopra
- Tata Memorial Center, Radiation Oncology, ACTREC, Kharghar, Navi Mumbai, 410210, India
| | - Amita Maheshwari
- Tata Memorial Hospital, Gynecology Oncology, Parel, Mumbai, 400012, India
| | - Kedar Deodhar
- Tata Memorial Hospital, Surgical Pathology, Cytopathology, Parel, Mumbai, 400012, India
| | - Bharat Rekhi
- Tata Memorial Hospital, Surgical Pathology, Cytopathology, Parel, Mumbai, 400012, India
| | - Nita Sukumar
- Biophotonics Laboratory, National Centre for Earth Science Studies, Akkulam, Thiruvananthapuram, 695 031, Kerala, India
| | - C Murali Krishna
- Chilakapati Laboratory, ACTREC, Kharghar, Navi Mumbai, 410210, India
| | - Narayanan Subhash
- Sascan Meditech Pvt Ltd, Centre for Innovation in Medical Electronics, BMS College of Engineering, Basavanagudi, Bangalore, 560019, India
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Ebadi A, Tighe PJ, Zhang L, Rashidi P. DisTeam: A decision support tool for surgical team selection. Artif Intell Med 2017; 76:16-26. [PMID: 28363285 PMCID: PMC5892206 DOI: 10.1016/j.artmed.2017.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 01/18/2017] [Accepted: 02/05/2017] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Surgical service providers play a crucial role in the healthcare system. Amongst all the influencing factors, surgical team selection might affect the patients' outcome significantly. The performance of a surgical team not only can depend on the individual members, but it can also depend on the synergy among team members, and could possibly influence patient outcome such as surgical complications. In this paper, we propose a tool for facilitating decision making in surgical team selection based on considering history of the surgical team, as well as the specific characteristics of each patient. METHODS DisTeam (a decision support tool for surgical team selection) is a metaheuristic framework for objective evaluation of surgical teams and finding the optimal team for a given patient, in terms of number of complications. It identifies a ranked list of surgical teams personalized for each patient, based on prior performance of the surgical teams. DisTeam takes into account the surgical complications associated with teams and their members, their teamwork history, as well as patient's specific characteristics such as age, body mass index (BMI) and Charlson comorbidity index score. RESULTS We tested DisTeam using intra-operative data from 6065 unique orthopedic surgery cases. Our results suggest high effectiveness of the proposed system in a health-care setting. The proposed framework converges quickly to the optimal solution and provides two sets of answers: a) The best surgical team over all the generations, and b) The best population which consists of different teams that can be used as an alternative solution. This increases the flexibility of the system as a complementary decision support tool. CONCLUSION DisTeam is a decision support tool for assisting in surgical team selection. It can facilitate the job of scheduling personnel in the hospital which involves an overwhelming number of factors pertaining to patients, individual team members, and team dynamics and can be used to compose patient-personalized surgical teams with minimum (potential) surgical complications.
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Affiliation(s)
- Ashkan Ebadi
- Department of Biomedical Engineering, University of Florida, 1064 Center Dr., Gainesville, FL 32611, USA.
| | - Patrick J Tighe
- Department of Anesthesiology, University of Florida, 1600 SW Archer Rd., Gainesville, FL 32603, USA
| | - Lei Zhang
- Department of Anesthesiology, University of Florida, 1600 SW Archer Rd., Gainesville, FL 32603, USA
| | - Parisa Rashidi
- Department of Biomedical Engineering, University of Florida, 1064 Center Dr., Gainesville, FL 32611, USA
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Abstract
Despite significant effort, cancer still remains a leading cause of death worldwide. In order to reduce its burden, the development and improvement of noninvasive strategies for early detection and diagnosis of cancer are urgently needed. Raman spectroscopy, an optical technique that relies on inelastic light scattering arising from molecular vibrations, is one such strategy, as it can noninvasively probe cancerous markers using only endogenous contrast. In this review, spontaneous, coherent and surface enhanced Raman spectroscopies and imaging, as well as the fundamental principles governing the successful use of these techniques, are discussed. Methods for spectral data analysis are also highlighted. Utilization of the discussed Raman techniques for the detection and diagnosis of cancer in vitro, ex vivo and in vivo is described. The review concludes with a discussion of the future directions of Raman technologies, with particular emphasis on their clinical translation.
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Affiliation(s)
- Lauren A Austin
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Sam Osseiran
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA. and Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue E25-519, Cambridge, Massachusetts 02139, USA
| | - Conor L Evans
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
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Lin D, Zheng Z, Wang Q, Huang H, Huang Z, Yu Y, Qiu S, Wen C, Cheng M, Feng S. Label-free optical sensor based on red blood cells laser tweezers Raman spectroscopy analysis for ABO blood typing. OPTICS EXPRESS 2016; 24:24750-24759. [PMID: 27828195 DOI: 10.1364/oe.24.024750] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The clinical significance of ABO blood typing extends beyond transfusion medicine and is demonstrated to be associated with susceptibility to various diseases, even including cancer. In this study, a home-made laser tweezers Raman spectroscopy (LTRS) system was applied to detect red blood cells (RBCs) with the aim to develop a label-free, simple and objective blood typing method for the first time. High-quality Raman spectra of RBCs in the fingerprint region of 420-1700 cm-1 can be obtained, meanwhile exciting blood typing results can be achieved, especially with an accuracy of 100% for identifying Type AB from other blood types with the use of multivariate statistical analysis based on principal component analysis (PCA) combined with linear discriminant analysis (LDA). This primary work demonstrates that the label-free RBCs LTRS analysis in conjunction with PCA-LDA diagnostic algorithms has great potential as a biosensor for ABO blood typing.
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Zhao J, Zeng H, Kalia S, Lui H. Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity. Analyst 2016; 141:1034-43. [PMID: 26767205 DOI: 10.1039/c5an02073e] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Real-time Raman spectroscopy can be used to assist in assessing skin lesions suspicious for cancer. Most of the diagnostic algorithms are based on full band of the Raman spectra, either in the fingerprint region or the high wavenumber region. In this paper we explored wavenumber selection based analysis in Raman spectroscopy for skin cancer diagnosis. Wavenumber selection was implemented using windows of wavenumber and leave-one-out cross-validated stepwise regression or least and shrinkage selection operator (LASSO). The diagnostic algorithms were then generated from the selected windows of wavenumber using multivariate statistical analyses, including principal component and general discriminate analysis (PC-GDA) and partial least squares (PLS). In total a combined cohort of 645 confirmed lesions from 573 patients encompassing skin cancers, precancers and benign skin lesions were included, which were divided into training cohort (n = 518) and testing cohort (n = 127) according to the measurement time. It was found that the area under the receiver operating characteristic curve (ROC) was improved from 0.861-0.891 to 0.891-0.911 and the diagnostic specificity for fixed sensitivity 0.99-0.90 was improved from 0.17-0.65 to 0.20-0.75 with wavenumber selection based analysis.
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Affiliation(s)
- Jianhua Zhao
- Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, Canada
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Chen G, Lin X, Lin D, Ge X, Feng S, Pan J, Lin J, Huang Z, Huang X, Chen R. Identification of different tumor states in nasopharyngeal cancer using surface-enhanced Raman spectroscopy combined with Lasso-PLS-DA algorithm. RSC Adv 2016. [DOI: 10.1039/c5ra24438b] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Identification of different states in cancer is of vital importance for cancer treatment and management.
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Ghaheri A, Shoar S, Naderan M, Hoseini SS. The Applications of Genetic Algorithms in Medicine. Oman Med J 2015; 30:406-16. [PMID: 26676060 DOI: 10.5001/omj.2015.82] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
A great wealth of information is hidden amid medical research data that in some cases cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature, metaheuristic algorithms have been developed to offer optimal or near-optimal solutions to complex data analysis and decision-making tasks in a reasonable time. Due to their powerful features, metaheuristic algorithms have frequently been used in other fields of sciences. In medicine, however, the use of these algorithms are not known by physicians who may well benefit by applying them to solve complex medical problems. Therefore, in this paper, we introduce the genetic algorithm and its applications in medicine. The use of the genetic algorithm has promising implications in various medical specialties including radiology, radiotherapy, oncology, pediatrics, cardiology, endocrinology, surgery, obstetrics and gynecology, pulmonology, infectious diseases, orthopedics, rehabilitation medicine, neurology, pharmacotherapy, and health care management. This review introduces the applications of the genetic algorithm in disease screening, diagnosis, treatment planning, pharmacovigilance, prognosis, and health care management, and enables physicians to envision possible applications of this metaheuristic method in their medical career.].
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Affiliation(s)
- Ali Ghaheri
- Department of Management and Economy, Science and Research Branch, Azad University, Tehran, Iran
| | - Saeed Shoar
- Department of Surgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Naderan
- School of Medicine Tehran University of Medical Sciences, Tehran, Iran
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Li S, Guo Z, Liu Z. Surface-enhanced Raman spectroscopy + support vector machine: a new noninvasive method for prostate cancer screening? Expert Rev Anticancer Ther 2015; 15:5-7. [PMID: 25525666 DOI: 10.1586/14737140.2015.992419] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Prostate cancer is one of the most common malignancies of the older males worldwide. Early diagnosis and treatment are important to improve the survival of patients. Recently, we developed a new method for prostate cancer screening: by measuring the serum surface-enhanced Raman spectroscopy of prostate cancer patients and normal subjects, combining with classification algorithms of support vector machines, the measured surface-enhanced Raman spectroscopy spectra are successfully classified with accuracy of 98.1%. Although the practical application faces several difficulties, we believe that this label-free serum surface-enhanced Raman spectroscopy analysis technique combined with support vector machine diagnostic algorithms will become a powerful tool for noninvasive prostate cancer screening in the future.
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Affiliation(s)
- Shaoxin Li
- Biomedical Engineering Laboratory, Guangdong Medical College, Dongguan 523808, China
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Wang W, Zhao J, Short M, Zeng H. Real-time in vivo cancer diagnosis using Raman spectroscopy. JOURNAL OF BIOPHOTONICS 2015; 8:527-45. [PMID: 25220508 DOI: 10.1002/jbio.201400026] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Revised: 07/25/2014] [Accepted: 08/12/2014] [Indexed: 05/02/2023]
Abstract
Raman spectroscopy has becoming a practical tool for rapid in vivo tissue diagnosis. This paper provides an overview on the latest development of real-time in vivo Raman systems for cancer detection. Instrumentation, data handling, as well as oncology applications of Raman techniques were covered. Optic fiber probes designs for Raman spectroscopy were discussed. Spectral data pre-processing, feature extraction, and classification between normal/benign and malignant tissues were surveyed. Applications of Raman techniques for clinical diagnosis for different types of cancers, including skin cancer, lung cancer, stomach cancer, oesophageal cancer, colorectal cancer, cervical cancer, and breast cancer, were summarized. Schematic of a real-time Raman spectrometer for skin cancer detection. Without correction, the image captured on CCD camera for a straight entrance slit has a curvature. By arranging the optic fiber array in reverse orientation, the curvature could be effectively corrected.
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Affiliation(s)
- Wenbo Wang
- Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, B.C., V5Z 1L3, Canada
- Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Jianhua Zhao
- Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, B.C., V5Z 1L3, Canada
- Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Michael Short
- Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, B.C., V5Z 1L3, Canada
| | - Haishan Zeng
- Imaging Unit - Integrative Oncology Department, British Columbia Cancer Agency Research Centre, 675 West 10th Avenue, Vancouver, B.C., V5Z 1L3, Canada
- Photomedicine Institute, Department of Dermatology and Skin Science, University of British Columbia and Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
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Current Advances in the Application of Raman Spectroscopy for Molecular Diagnosis of Cervical Cancer. BIOMED RESEARCH INTERNATIONAL 2015; 2015:561242. [PMID: 26180802 PMCID: PMC4477184 DOI: 10.1155/2015/561242] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 12/22/2014] [Accepted: 12/27/2014] [Indexed: 11/24/2022]
Abstract
Raman spectroscopy provides a unique biochemical fingerprint capable of identifying and characterizing the structure of molecules, cells, and tissues. In cervical cancer, it is acknowledged as a promising biochemical tool due to its ability to detect premalignancy and early malignancy stages. This review summarizes the key research in the area and the evidence compiled is very encouraging for ongoing and further research. In addition to the diagnostic potential, promising results for HPV detection and monitoring treatment response suggest more than just a diagnosis prospective. A greater body of evidence is however necessary before Raman spectroscopy is fully validated for clinical use and larger comprehensive studies are required to fully establish the role of Raman spectroscopy in the molecular diagnostics of cervical cancer.
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Li S, Li L, Zeng Q, Zhang Y, Guo Z, Liu Z, Jin M, Su C, Lin L, Xu J, Liu S. Characterization and noninvasive diagnosis of bladder cancer with serum surface enhanced Raman spectroscopy and genetic algorithms. Sci Rep 2015; 5:9582. [PMID: 25947114 PMCID: PMC4423238 DOI: 10.1038/srep09582] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 03/04/2015] [Indexed: 12/15/2022] Open
Abstract
This study aims to characterize and classify serum surface-enhanced Raman spectroscopy (SERS) spectra between bladder cancer patients and normal volunteers by genetic algorithms (GAs) combined with linear discriminate analysis (LDA). Two group serum SERS spectra excited with nanoparticles are collected from healthy volunteers (n = 36) and bladder cancer patients (n = 55). Six diagnostic Raman bands in the regions of 481-486, 682-687, 1018-1034, 1313-1323, 1450-1459 and 1582-1587 cm(-1) related to proteins, nucleic acids and lipids are picked out with the GAs and LDA. By the diagnostic models built with the identified six Raman bands, the improved diagnostic sensitivity of 90.9% and specificity of 100% were acquired for classifying bladder cancer patients from normal serum SERS spectra. The results are superior to the sensitivity of 74.6% and specificity of 97.2% obtained with principal component analysis by the same serum SERS spectra dataset. Receiver operating characteristic (ROC) curves further confirmed the efficiency of diagnostic algorithm based on GA-LDA technique. This exploratory work demonstrates that the serum SERS associated with GA-LDA technique has enormous potential to characterize and non-invasively detect bladder cancer through peripheral blood.
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Affiliation(s)
- Shaoxin Li
- Biomedical Engineering Laboratory, School of Information Engineering, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Linfang Li
- State Key Laboratory of Oncology in South China and Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Qiuyao Zeng
- State Key Laboratory of Oncology in South China and Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yanjiao Zhang
- School of Basic Medicine, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Zhouyi Guo
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Zhiming Liu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Mei Jin
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Chengkang Su
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
| | - Lin Lin
- Biomedical Engineering Laboratory, School of Information Engineering, Guangdong Medical College, Dongguan 523808, Guangdong, China
| | - Junfa Xu
- Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, No. 1 Xincheng Road, Dongguan 523808, China
| | - Songhao Liu
- MOE Key Laboratory of Laser Life Science & SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology, College of Biophotonics, South China Normal University, Guangzhou 510631, China
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Kast RE, Tucker SC, Killian K, Trexler M, Honn KV, Auner GW. Emerging technology: applications of Raman spectroscopy for prostate cancer. Cancer Metastasis Rev 2015; 33:673-93. [PMID: 24510129 DOI: 10.1007/s10555-013-9489-6] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
There is a need in prostate cancer diagnostics and research for a label-free imaging methodology that is nondestructive, rapid, objective, and uninfluenced by water. Raman spectroscopy provides a molecular signature, which can be scaled from micron-level regions of interest in cells to macroscopic areas of tissue. It can be used for applications ranging from in vivo or in vitro diagnostics to basic science laboratory testing. This work describes the fundamentals of Raman spectroscopy and complementary techniques including surface enhanced Raman scattering, resonance Raman spectroscopy, coherent anti-Stokes Raman spectroscopy, confocal Raman spectroscopy, stimulated Raman scattering, and spatially offset Raman spectroscopy. Clinical applications of Raman spectroscopy to prostate cancer will be discussed, including screening, biopsy, margin assessment, and monitoring of treatment efficacy. Laboratory applications including cell identification, culture monitoring, therapeutics development, and live imaging of cellular processes are discussed. Potential future avenues of research are described, with emphasis on multiplexing Raman spectroscopy with other modalities.
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Affiliation(s)
- Rachel E Kast
- Smart Sensors and Integrated Microsystems Laboratories, Department of Electrical and Computer Engineering, Wayne State University, 5050 Anthony Wayne Drive, Room 3100, Detroit, MI, 48202, USA
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Novel advancements in colposcopy: historical perspectives and a systematic review of future developments. J Low Genit Tract Dis 2015; 18:246-60. [PMID: 24633164 DOI: 10.1097/lgt.0b013e3182a72170] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To describe novel innovations and techniques for the detection of high-grade dysplasia. MATERIALS AND METHODS Studies were identified through the PubMed database, spanning the last 10 years. The key words (["computerized colposcopy" or "digital colposcopy" or "spectroscopy" or "multispectral digital colposcopy" or "dynamic spectral imaging", or "electrical impedance spectroscopy" or "confocal endomicroscopy" or "confocal microscopy"or "optical coherence tomography"] and ["cervical dysplasia" or cervical precancer" or "cervix" or "cervical"]) were used. The inclusion criteria were published articles of original research referring to noncolposcopic evaluation of the cervix for the detection of cervical dysplasia. Only English-language articles from the past 10 years were included, in which the technologies were used in vivo, and sensitivities and specificities could be calculated. RESULTS The single author reviewed the articles for inclusion. Primary search of the database yielded 59 articles, and secondary cross-reference yielded 12 articles. Thirty-two articles met the inclusion criteria. CONCLUSIONS An instrument that globally assesses the cervix, such as computer-assisted colposcopy, optical spectroscopy, and dynamic spectral imaging, would provided the most comprehensive estimate of disease and is therefore best suited when treatment is preferred. Electrical impedance spectroscopy, confocal microscopy, and optical coherence tomography provide information at the cellular level to estimate histology and are therefore best suited when deferment of treatment is preferred. If a device is to eventually replace the colposcope, it will likely combine technologies to best meet the needs of the target population, and as such, no single instrument may prove to be universally appropriate. Analyses of false-positive rates, additional colposcopies and biopsies, cost, and absolute life-savings will be important when considering these technologies and are limited thus far.
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Li S, Chen G, Zhang Y, Guo Z, Liu Z, Xu J, Li X, Lin L. Identification and characterization of colorectal cancer using Raman spectroscopy and feature selection techniques. OPTICS EXPRESS 2014; 22:25895-908. [PMID: 25401621 DOI: 10.1364/oe.22.025895] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
This study aims to detect colorectal cancer with near-infrared Raman spectroscopy and feature selection techniques. A total of 306 Raman spectra of colorectal cancer tissues and normal tissues are acquired from 44 colorectal cancer patients. Five diagnostically important Raman bands in the regions of 815-830, 935-945, 1131-1141, 1447-1457 and 1665-1675 cm(-1) related to proteins, nucleic acids and lipids of tissues are identified with the ant colony optimization (ACO) and support vector machine (SVM). The diagnostic models built with the identified Raman bands provide a diagnostic accuracy of 93.2% for identifying colorectal cancer from normal Raman spectroscopy. The study demonstrates that the Raman spectroscopy associated with ACO-SVM diagnostic algorithms has great potential to characterize and diagnose colorectal cancer.
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36
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Sattlecker M, Stone N, Bessant C. Current trends in machine-learning methods applied to spectroscopic cancer diagnosis. Trends Analyt Chem 2014. [DOI: 10.1016/j.trac.2014.02.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Zhao J, Short M, Braun T, Lui H, McLean D, Zeng H. Clinical Raman measurements under special ambient lighting illumination. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:111609. [PMID: 24938406 DOI: 10.1117/1.jbo.19.11.111609] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2014] [Accepted: 05/22/2014] [Indexed: 06/03/2023]
Abstract
One challenge in facing the application of biomedical Raman spectroscopy is that the Raman signal is acquired in a dark operation room. It is inconvenient for both the operator and the patient because it is difficult for the operator to accurately and precisely locate the target in the dark environment, and the patient feels uncomfortable in such a setting. In this note, we propose a method to implement biomedical Raman measurement with an illumination source, by multiple filtering of the illumination and the collection optics. Experimental results are demonstrated on skin Raman measurement under 785-nm excitation.
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Affiliation(s)
- Jianhua Zhao
- British Columbia Cancer Research Center, Imaging Unit-Integrative Oncology Department, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, CanadabUniversity of British Columbia and Vancouver Coastal Health Research Institute, Photomedicine Institute, Department
| | - Michael Short
- British Columbia Cancer Research Center, Imaging Unit-Integrative Oncology Department, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada
| | - Thomas Braun
- Verisante Technology Inc., Vancouver, BC V6M 2A3, Canada
| | - Harvey Lui
- University of British Columbia and Vancouver Coastal Health Research Institute, Photomedicine Institute, Department of Dermatology and Skin Science, Vancouver, BC V5Z 4E8, Canada
| | - David McLean
- University of British Columbia and Vancouver Coastal Health Research Institute, Photomedicine Institute, Department of Dermatology and Skin Science, Vancouver, BC V5Z 4E8, Canada
| | - Haishan Zeng
- British Columbia Cancer Research Center, Imaging Unit-Integrative Oncology Department, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, CanadabUniversity of British Columbia and Vancouver Coastal Health Research Institute, Photomedicine Institute, Department
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Duraipandian S, Mo J, Zheng W, Huang Z. Near-infrared Raman spectroscopy for assessing biochemical changes of cervical tissue associated with precarcinogenic transformation. Analyst 2014; 139:5379-5386. [DOI: 10.1039/c4an00795f] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
NIR Raman spectroscopic characterization of cervical precarcinogenic transformation.
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Affiliation(s)
- Shiyamala Duraipandian
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- , Singapore 117576
| | - Jianhua Mo
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- , Singapore 117576
| | - Wei Zheng
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- , Singapore 117576
| | - Zhiwei Huang
- Optical Bioimaging Laboratory
- Department of Biomedical Engineering
- Faculty of Engineering
- National University of Singapore
- , Singapore 117576
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Mallidis C, Sanchez V, Wistuba J, Wuebbeling F, Burger M, Fallnich C, Schlatt S. Raman microspectroscopy: shining a new light on reproductive medicine. Hum Reprod Update 2013; 20:403-14. [PMID: 24144514 DOI: 10.1093/humupd/dmt055] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The last 20 years have seen an enormous upsurge in the number of publications reporting findings obtained by Raman spectroscopy, a non-invasive, non-destructive method which uses the inelastic scattering of light to provide a 'fingerprint' of the sample's chemical composition and constituents. Long neglected because of practical difficulties, the technique has been transformed by recent technological advances into a powerful analytical tool capable of opening avenues of investigation that were previously out of the reach of biomedical scientists. Beyond introducing the approach and describing its relative merits and weaknesses, the aim of this review is to provide a spur for discussion of what may become an invaluable tool for biomedical investigations. METHODS A comprehensive review of the literature was conducted searching PubMed and Ovid databases using numerous MeSH terms associated with reproductive medicine. Furthermore, the reference lists of all reported literature were explored. The searches were restricted to English language articles published in the last 50 years. RESULTS Beginning with simple characterizations of biologically and medically important substances, aided by increasing technological sophistication, the use of Raman spectroscopy in biomedicine has quickly expanded to the investigation of complex biochemical interactions, the assessment of organelles and now the evaluation of living cells and tissue. The first Raman investigations of reproductive organs were primarily oncological in nature; however, the past few years have seen an increase in the application of the technique for the assessment and evaluation of both male and female gametes. In particular, progress has been made in the characterization, identification and localization of sperm nuclear DNA damage. CONCLUSIONS The use of Raman spectroscopy has already provided many tantalizing glimpses into the potential that the technique has to answer many of the unresolved issues in investigative and therapeutic reproductive medicine. However, without stringent assessment and the clear representation of the methods' findings, their true meaning cannot be revealed nor should any conclusions be hastily derived. For the potential of Raman microspectroscopy to be truly realized, the dependability and reliability of the technique and its results can only be ascertained by multidisciplinary collaborations that undertake carefully conducted, controlled and analysed studies.
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Affiliation(s)
- Con Mallidis
- Centre of Reproductive Medicine and Andrology, University Clinic of Muenster, Muenster 48149, Germany
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Feng S, Lin D, Lin J, Li B, Huang Z, Chen G, Zhang W, Wang L, Pan J, Chen R, Zeng H. Blood plasma surface-enhanced Raman spectroscopy for non-invasive optical detection of cervical cancer. Analyst 2013; 138:3967-74. [DOI: 10.1039/c3an36890d] [Citation(s) in RCA: 134] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Duraipandian S, Zheng W, Ng J, Low JJH, Ilancheran A, Huang Z. Non-invasive analysis of hormonal variations and effect of postmenopausal Vagifem treatment on women using in vivo high wavenumber confocal Raman spectroscopy. Analyst 2013; 138:4120-8. [DOI: 10.1039/c3an00526g] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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42
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Duraipandian S, Zheng W, Ng J, Low JJH, Ilancheran A, Huang Z. Simultaneous fingerprint and high-wavenumber confocal Raman spectroscopy enhances early detection of cervical precancer in vivo. Anal Chem 2012; 84:5913-9. [PMID: 22724621 DOI: 10.1021/ac300394f] [Citation(s) in RCA: 104] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Raman spectroscopy is a vibrational spectroscopic technique capable of nondestructively probing endogenous biomolecules and their changes associated with dysplastic transformation in the tissue. The main objectives of this study are (i) to develop a simultaneous fingerprint (FP) and high-wavenumber (HW) confocal Raman spectroscopy and (ii) to investigate its diagnostic utility for improving in vivo diagnosis of cervical precancer (dysplasia). We have successfully developed an integrated FP/HW confocal Raman diagnostic system with a ball-lens Raman probe for simultaneous acquistion of FP/HW Raman signals of the cervix in vivo within 1 s. A total of 476 in vivo FP/HW Raman spectra (356 normal and 120 precancer) are acquired from 44 patients at clinical colposcopy. The distinctive Raman spectral differences between normal and dysplastic cervical tissue are observed at ~854, 937, 1001, 1095, 1253, 1313, 1445, 1654, 2946, and 3400 cm(-1) mainly related to proteins, lipids, glycogen, nucleic acids and water content in tissue. Multivariate diagnostic algorithms developed based on partial least-squares-discriminant analysis (PLS-DA) together with the leave-one-patient-out, cross-validation yield the diagnostic sensitivities of 84.2%, 76.7%, and 85.0%, respectively; specificities of 78.9%, 73.3%, and 81.7%, respectively; and overall diagnostic accuracies of 80.3%, 74.2%, and 82.6%, respectively, using FP, HW, and integrated FP/HW Raman spectroscopic techniques for in vivo diagnosis of cervical precancer. Receiver operating characteristic (ROC) analysis further confirms the best performance of the integrated FP/HW confocal Raman technique, compared to FP or HW Raman spectroscopy alone. This work demonstrates, for the first time, that the simultaneous FP/HW confocal Raman spectroscopy has the potential to be a clinically powerful tool for improving early diagnosis and detection of cervical precancer in vivo during clinical colposcopic examination.
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Affiliation(s)
- Shiyamala Duraipandian
- Optical Bioimaging Laboratory, Department of Bioengineering, Faculty of Engineering, National University of Singapore, Singapore
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Pirro V, Eberlin LS, Oliveri P, Cooks RG. Interactive hyperspectral approach for exploring and interpreting DESI-MS images of cancerous and normal tissue sections. Analyst 2012; 137:2374-80. [PMID: 22493773 DOI: 10.1039/c2an35122f] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Desorption electrospray ionization (DESI) is an ambient mass spectrometry (MS) technique that can be operated in an imaging mode. It is known to provide valuable information on disease state and grade based on lipid profiles in tissue sections. Comprehensive exploration of the spatial and chemical information contained in 2D MS images requires further development of methods for data treatment and interpretation in conjunction with multivariate analysis. In this study, we employ an interactive approach based on principal component analysis (PCA) to interpret the chemical and spatial information obtained from MS imaging of human bladder, kidney, germ cell and prostate cancer and adjacent normal tissues. This multivariate strategy facilitated distinction between tumor and normal tissue by correlating the lipid information with pathological evaluation of the same samples. Some common lipid ions, such as those of m/z 885.5 and m/z 788.5, nominally PI(18 : 0/20 : 4) and PS(18 : 0/18 : 1), as well as ions of free fatty acids and their dimers, appeared to be highly characterizing for different types of human cancers, while other ions, such as those of m/z 465.5 (cholesterol sulfate) for prostate cancer tissue and m/z 795.5 (seminolipid 16 : 0/16 : 0) for germ tissue, appeared to be extremely selective for the type of tissue analyzed. These data confirm that lipid profiles can reflect not only the disease/health state of tissue but also are characteristic of tissue type. The manual interactive strategy presented here is particularly useful to visualize the information contained in hyperspectral MS images by automatically connecting regions of PCA score space to pixels of the 2D physical object. The procedures developed in this study consider all the spectral variables and their inter-correlations, and guide subsequent investigations of the mass spectra and single ion images to allow one to maximize characterization between different regions of any DESI-MS image.
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Affiliation(s)
- Valentina Pirro
- Department of Chemistry, University of Turin, Turin 10125, Italy
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Trevisan J, Angelov PP, Carmichael PL, Scott AD, Martin FL. Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives. Analyst 2012; 137:3202-15. [DOI: 10.1039/c2an16300d] [Citation(s) in RCA: 169] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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