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Shree P, Aggarwal Y, Kumar M, Majhee L, Singh NN, Prakash O, Chandra A, Mahuli SA, Shamsi S, Rai A. Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy. Indian J Otolaryngol Head Neck Surg 2024; 76:2282-2289. [PMID: 38883442 PMCID: PMC11169329 DOI: 10.1007/s12070-023-04294-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 10/14/2023] [Indexed: 06/18/2024] Open
Abstract
Oral cancer ranks as the sixth most prevalent form of cancer worldwide, presenting a significant public health concern. According to the World Health Organization (WHO), within a 5-year period following diagnosis, the mortality rate among oral cancer patients of all stages stands at 45%. In this study, a total of 60 patients divided into 2 groups were recruited. Group A included 30 histo-pathologically confirmed OSCC patients and Group B included 30 healthy controls. A standardized procedure was followed to collect saliva samples. FTIR spectroscopy was done for all the saliva samples collected from both Group A and B. An IR Prestige-21 (Shimadzu Corp, Japan) spectrometer was used to record IR spectra in the 40-4000 cm-1 range SVM classifier was applied in the classification of disease state from normal subjects using FTIR data. The peaks were identified at wave no 1180 cm-1, 1230 cm-1, 1340 cm-1, 1360 cm-1, 1420 cm-1, 1460 cm-1, 1500 cm-1, 1540 cm-1, 1560 cm-1, and 1637 cm-1. The observed results of SVM demonstrated the accuracy of 91.66% in the classification of Cancer tissues from the normal subjects with sensitivity of 83.33% while specificity and precision of 100.0%. The development of oral cancer leads to noticeable alterations in the secondary structure of proteins. These findings emphasize the promising use of ATR-FTIR platforms in conjunction with machine learning as a reliable, non-invasive, reagent-free, and highly sensitive method for screening and monitoring individuals with oral cancer.
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Affiliation(s)
- Priya Shree
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
| | - Yogendra Aggarwal
- Department of Bioengineering and Biotechnology, Birla Institute of Technology Mesra, Ranchi, India
| | - Manish Kumar
- Department of Bioengineering, Birla Institute of Technology, Mesra, Ranchi, 835215 India
| | - Lakhan Majhee
- Department of Pharmacology, Rajendra Institute of Medical Sciences, Ranchi, India
| | - Narendra Nath Singh
- Oral Pathology, Microbiology and Forensic Odontology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Om Prakash
- Oral and Maxillofacial Pathology, Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Akhilesh Chandra
- Department of Oral Pathology and Microbiology, Faculty of Dental Sciences, Banaras Hindu University, Varanasi, India
| | - Simpy Amit Mahuli
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Shoa Shamsi
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, 834009 India
| | - Arpita Rai
- Dental College, Rajendra Institute of Medical Sciences (RIMS), Bariatu, Ranchi, Jharkhand 834009 India
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Al‐Kelani M, Buthelezi N. Advancements in medical research: Exploring Fourier Transform Infrared (FTIR) spectroscopy for tissue, cell, and hair sample analysis. Skin Res Technol 2024; 30:e13733. [PMID: 38887131 PMCID: PMC11182784 DOI: 10.1111/srt.13733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/24/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Fourier Transform Infrared (FTIR) spectroscopy has emerged as a powerful analytical tool in medical research, offering non-invasive and precise examination of the molecular composition of biological samples. The primary objective of this review is to underscore the benefits of FTIR spectroscopy in medicinal research, emphasizing its ability to delineate molecular fingerprints and assist in the identification of biochemical structures and key peaks in biological samples. METHODS This review comprehensively explores the diverse applications of FTIR spectroscopy in medical investigations, with a specific focus on its utility in analyzing tissue, cells, and hair samples. Various sources, including Google Scholar, PubMed, WorledCat and Scopus, were utilized to conduct this comprehensive literature review. RESULTS Recent advancements showcase the versatility of FTIR spectroscopy in elucidating cellular and molecular processes, facilitating disease diagnostics, and enabling treatment monitoring. Notably, FTIR spectroscopy has found significant utility in clinical assessment, particularly in screening counterfeit medicines, owing to its user-friendly operation and minimal sample preparation requirements. Furthermore, customs officials can leverage this technique for preliminary analysis of suspicious samples. CONCLUSION This review aims to bridge a gap in the literature and serve as a valuable resource for future research endeavors in FTIR spectroscopy within the medical domain. Additionally, it presents fundamental concepts of FTIR spectroscopy and spectral data interpretation, highlighting its utility as a tool for molecular analysis using Mid-Infrared (MIR) radiation.
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Affiliation(s)
- Madeha Al‐Kelani
- Hair and Skin Research LaboratoryDivision of DermatologyGroote Schuur HospitalCape TownSouth Africa
- Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Ntandoyenkosi Buthelezi
- Hair and Skin Research LaboratoryDivision of DermatologyGroote Schuur HospitalCape TownSouth Africa
- Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
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Carbone NA, Vera DA, Victoria Waks-Serra M, García HA, Iriarte DI, Pomarico JA, Pardini PA, Puca S, Fuentes N, Renati ME, Capellino PH, Osses R. MamoRef: an optical mammography device using whole-field CW diffuse reflectance. Presentation, validation and preliminary clinical results. Phys Med Biol 2023; 69:015021. [PMID: 38048632 DOI: 10.1088/1361-6560/ad1213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 12/04/2023] [Indexed: 12/06/2023]
Abstract
Objective.MamoRef is an mammography device that uses near-infrared light, designed to provide clinically relevant information for the screening of diseases of the breast. Using low power continuous wave lasers and a high sensitivity CCD (Charge-coupled device) that captures a diffusely reflected image of the tissue, MamoRef results in a versatile diagnostic tool that aims to fulfill a complementary role in the diagnosis of breast cancer providing information about the relative hemoglobin concentrations as well as oxygen saturation.Approach.We present the design and development of an initial prototype of MamoRef. To ensure its effectiveness, we conducted validation tests on both the theoretical basis of the reconstruction algorithm and the hardware design. Furthermore, we initiated a clinical feasibility study involving patients diagnosed with breast disease, thus evaluating the practical application and potential benefits of MamoRef in a real-world setting.Main results.Our study demonstrates the effectiveness of the reconstruction algorithm in recovering relative concentration differences among various chromophores, as confirmed by Monte Carlo simulations. These simulations show that the recovered data correlates well with the ground truth, with SSIMs of 0.8 or more. Additionally, the phantom experiments validate the hardware implementation. The initial clinical findings exhibit highly promising outcomes regarding MamoRef's ability to differentiate between lesions.Significance.MamoRef aims to be an advancement in the field of breast pathology screening and diagnostics, providing complementary information to standard diagnostic techniques. One of its main advantages is the ability of determining oxy/deoxyhemoglobin concentrations and oxygen saturation; this constitutes valuable complementary information to standard diagnostic techniques. Besides, MamoRef is a portable and relatively inexpensive device, intended to be not only used in specific medical imaging facilities. Finally, its use does not require external compression of the breast. The findings of this study underscore the potential of MamoRef in fulfilling this crucial role.
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Affiliation(s)
- Nicolás A Carbone
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
- Bionirs Arg SA. Tandil, Buenos Aires, Argentina
| | - Demián A Vera
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
| | - M Victoria Waks-Serra
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
| | - Héctor A García
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
| | - Daniela I Iriarte
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
| | - Juan A Pomarico
- Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires (CIFICEN, UNCPBA-CICPBA-CONICET), Argentina
| | | | | | - Nora Fuentes
- Hospital Privado de la Comunidad. Mar del Plata, Buenos Aires, Argentina
| | - María E Renati
- Hospital Privado de la Comunidad. Mar del Plata, Buenos Aires, Argentina
| | - Pablo H Capellino
- Hospital Privado de la Comunidad. Mar del Plata, Buenos Aires, Argentina
| | - Romina Osses
- Hospital Privado de la Comunidad. Mar del Plata, Buenos Aires, Argentina
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Dong L, Duan X, Bin L, Wang J, Gao Q, Sun X, Xu Y. Evaluation of Fourier transform infrared (FTIR) spectroscopy with multivariate analysis as a novel diagnostic tool for lymph node metastasis in gastric cancer. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 289:122209. [PMID: 36512961 DOI: 10.1016/j.saa.2022.122209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/16/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Fourier transform infrared (FTIR) spectroscopy is a vibration spectroscopy that uses infrared radiation to vibrate to absorb the molecular bonds in its absorbed sample. The main purpose of this study was to evaluate FTIR spectroscopy as a novel diagnostic tool for lymph node metastasis (LNM) of gastric cancer. We collected 160 fresh non-metastatic and metastatic lymph nodes (80 each) from 60 patients with gastric cancer for spectral analysis. FTIR spectra of lymph node (LN) samples were obtained in the wavenumber range of 4000 cm-1 to 900 cm-1. We calculated the changes in the ratio of spectral intensity (/ I1460). Principal component analysis (PCA) and Fisher's discriminant analysis (FDA) were used to distinguish malignant from normal LN. Four significant bands at 1080 cm-1, 1640 cm-1, 1740 cm-1 and 3260 cm-1 separated metastatic and non-metastatic LN spectra into two distinct groups by PCA.T-tests showed that, along with the relative intensity ratios (I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460), these band ratios were also able to differentiate between malignant and benign LN spectra. Six parameters (P1080 cm-1, P1300 cm-1, I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460) were selected as independent factors to set up discriminant functions. The sensitivity of FTIR spectroscopy in diagnosing LNM was 95 % by discriminant analysis. Our study suggested that FTIR spectroscopy can be a useful tool to examine LNM with high sensitivity and specificity for LNM diagnosis. Therefore it can be used in clinical practice as a non-invasive method.
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Affiliation(s)
- Liu Dong
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Xianglong Duan
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Liu Bin
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Jianhua Wang
- Second Department of General Surgery, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Qiuying Gao
- Department of Haematology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China.
| | - Xuejun Sun
- Department of General Surgery, The First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
| | - Yizhuang Xu
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
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Yonar D, Severcan M, Gurbanov R, Sandal A, Yilmaz U, Emri S, Severcan F. Rapid diagnosis of malignant pleural mesothelioma and its discrimination from lung cancer and benign exudative effusions using blood serum. Biochim Biophys Acta Mol Basis Dis 2022; 1868:166473. [PMID: 35753541 DOI: 10.1016/j.bbadis.2022.166473] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 06/06/2022] [Accepted: 06/19/2022] [Indexed: 02/01/2023]
Abstract
Malignant pleural mesothelioma (MPM), an aggressive cancer associated with exposure to fibrous minerals, can only be diagnosed in the advanced stage because its early symptoms are also connected with other respiratory diseases. Hence, understanding the molecular mechanism and the discrimination of MPM from other lung diseases at an early stage is important to apply effective treatment strategies and for the increase in survival rate. This study aims to develop a new approach for characterization and diagnosis of MPM among lung diseases from serum by Fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis. The detailed spectral characterization studies indicated the changes in lipid biosynthesis and nucleic acids levels in the malignant serum samples. Furthermore, the results showed that healthy, benign exudative effusion, lung cancer, and MPM groups were successfully separated from each other by applying principal component analysis (PCA), support vector machine (SVM), and especially linear discriminant analysis (LDA) to infrared spectra.
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Affiliation(s)
- Dilek Yonar
- Middle East Technical University, Department of Biological Sciences, Ankara, Turkey; Yuksek Ihtisas University, Faculty of Medicine, Biophysics Department, Ankara, Turkey
| | - Mete Severcan
- Middle East Technical University, Department of Electrical and Electronics Engineering, Ankara, Turkey
| | - Rafig Gurbanov
- Bilecik Seyh Edebali University, Department of Bioengineering, Bilecik, Turkey
| | - Abdulsamet Sandal
- Hacettepe University, Faculty of Medicine, Department of Chest Diseases, Ankara, Turkey; Ankara Occupational and Environmental Diseases Hospital, Ankara, Turkey
| | - Ulku Yilmaz
- Atatürk Chest Diseases and Chest Surgery Training and Research Hospital, Ankara, Turkey
| | - Salih Emri
- Hacettepe University, Faculty of Medicine, Department of Chest Diseases, Ankara, Turkey; Medicana Hospital, Department of Chest Diseases, Kadikoy, Istanbul, Turkey
| | - Feride Severcan
- Middle East Technical University, Department of Biological Sciences, Ankara, Turkey; Altinbas University, Faculty of Medicine, Biophysics Department, Istanbul, Turkey.
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Suleiman M, Abu-Aqil G, Sharaha U, Riesenberg K, Lapidot I, Salman A, Huleihel M. Infra-red spectroscopy combined with machine learning algorithms enables early determination of Pseudomonas aeruginosa's susceptibility to antibiotics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 274:121080. [PMID: 35248858 DOI: 10.1016/j.saa.2022.121080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 06/14/2023]
Abstract
Pseudomonas (P.) aeruginosa is a bacterium responsible for severe infections that have become a real concern in hospital environments. Nosocomial infections caused by P. aeruginosa are often hard to treat because of its intrinsic resistance and remarkable ability to acquire further resistance mechanisms to multiple groups of antimicrobial agents. Thus, rapid determination of the susceptibility of P. aeruginosa isolates to antibiotics is crucial for effective treatment. The current methods used for susceptibility determination are time-consuming; hence the importance of developing a new method. Fourier-transform infra-red (FTIR) spectroscopy is known as a rapid and sensitive diagnostic tool, with the ability to detect minor abnormal molecular changes including those associated with the development of antibiotic- resistant bacteria. The main goal of this study is to evaluate the potential of FTIR spectroscopy together with machine learning algorithms, to determine the susceptibility of P. aeruginosa to different antibiotics in a time span of ∼20 min after the first culture. For this goal, 590 isolates of P. aeruginosa, obtained from different infection sites of various patients, were measured by FTIR spectroscopy and analyzed by machine learning algorithms. We have successfully determined the susceptibility of P. aeruginosa to various antibiotics with an accuracy of 82-90%.
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Affiliation(s)
- Manal Suleiman
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - George Abu-Aqil
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | - Uraib Sharaha
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
| | | | - Itshak Lapidot
- Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv 69107, Israel
| | - Ahmad Salman
- Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva 84100, Israel.
| | - Mahmoud Huleihel
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
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Schiemer R, Furniss D, Phang S, Seddon AB, Atiomo W, Gajjar KB. Vibrational Biospectroscopy: An Alternative Approach to Endometrial Cancer Diagnosis and Screening. Int J Mol Sci 2022; 23:ijms23094859. [PMID: 35563249 PMCID: PMC9102412 DOI: 10.3390/ijms23094859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 01/27/2023] Open
Abstract
Endometrial cancer (EC) is the sixth most common cancer and the fourth leading cause of death among women worldwide. Early detection and treatment are associated with a favourable prognosis and reduction in mortality. Unlike other common cancers, however, screening strategies lack the required sensitivity, specificity and accuracy to be successfully implemented in clinical practice and current diagnostic approaches are invasive, costly and time consuming. Such limitations highlight the unmet need to develop diagnostic and screening alternatives for EC, which should be accurate, rapid, minimally invasive and cost-effective. Vibrational spectroscopic techniques, Mid-Infrared Absorption Spectroscopy and Raman, exploit the atomic vibrational absorption induced by interaction of light and a biological sample, to generate a unique spectral response: a “biochemical fingerprint”. These are non-destructive techniques and, combined with multivariate statistical analysis, have been shown over the last decade to provide discrimination between cancerous and healthy samples, demonstrating a promising role in both cancer screening and diagnosis. The aim of this review is to collate available evidence, in order to provide insight into the present status of the application of vibrational biospectroscopy in endometrial cancer diagnosis and screening, and to assess future prospects.
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Affiliation(s)
- Roberta Schiemer
- Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham NG5 1PB, UK;
- Correspondence:
| | - David Furniss
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - Sendy Phang
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - Angela B. Seddon
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - William Atiomo
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai P.O. Box 505055, United Arab Emirates;
| | - Ketankumar B. Gajjar
- Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham NG5 1PB, UK;
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Kochan K, Bedolla DE, Perez-Guaita D, Adegoke JA, Chakkumpulakkal Puthan Veettil T, Martin M, Roy S, Pebotuwa S, Heraud P, Wood BR. Infrared Spectroscopy of Blood. APPLIED SPECTROSCOPY 2021; 75:611-646. [PMID: 33331179 DOI: 10.1177/0003702820985856] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.
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Affiliation(s)
- Kamila Kochan
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Diana E Bedolla
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - David Perez-Guaita
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - John A Adegoke
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | | | - Miguela Martin
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Supti Roy
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Savithri Pebotuwa
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Philip Heraud
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
| | - Bayden R Wood
- 2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia
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Sablinskas V, Bandzeviciute R, Velicka M, Ceponkus J, Urboniene V, Jankevicius F, Laurinavičius A, Dasevičius D, Steiner G. Fiber attenuated total reflection infrared spectroscopy of kidney tissue during live surgery. JOURNAL OF BIOPHOTONICS 2020; 13:e202000018. [PMID: 32249545 DOI: 10.1002/jbio.202000018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 03/06/2020] [Accepted: 03/24/2020] [Indexed: 06/11/2023]
Abstract
More than 90% of solid kidney tumors are cancerous and have to be treated by surgical resection where surgical outcomes and patient prognosis are dependent on the tumor discrimination. The development of alternative approaches based on a new generation of fiber attenuated total reflection (ATR) probes could aid tumor identification even under intrasurgical conditions. Herein, fiber ATR IR spectroscopy is employed to distinguish normal and cancerous kidney tissues. Freshly resected tissue samples from 34 patients are investigated under nearly native conditions. Spectral marker bands that allow a reliable discrimination between tumor and normal tissue are identified by a supervised classification algorithm. The absorbance values of the bands at 1025, 1155 and 1240 cm-1 assigned to glycogen and fructose 1,6-bisphosphatase are used as the clearest markers for the tissue discrimination. Absorbance threshold values for tumor and normal tissue are determined by discriminant analysis. This new approach allows the surgeon to make a clinical diagnosis.
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Affiliation(s)
- Valdas Sablinskas
- Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania
| | | | - Martynas Velicka
- Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania
| | - Justinas Ceponkus
- Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania
| | - Vidita Urboniene
- Institute of Chemical Physics, Vilnius University, Vilnius, Lithuania
| | - Feliksas Jankevicius
- Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- National Cancer Institute, Vilnius, Lithuania
| | - Arvydas Laurinavičius
- National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Darius Dasevičius
- National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Gerald Steiner
- Faculty of Medicine Carl Gustav Carus, Clinical Sensoring and Monitoring, Dresden University of Technology, Dresden, Germany
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Suryadevara V, Nazeer SS, Sreedhar H, Adelaja O, Kajdacsy-Balla A, Natarajan V, Walsh MJ. Infrared spectral microscopy as a tool to monitor lung fibrosis development in a model system. BIOMEDICAL OPTICS EXPRESS 2020; 11:3996-4007. [PMID: 33014581 PMCID: PMC7510888 DOI: 10.1364/boe.394730] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 06/11/2023]
Abstract
Tissue fibrosis is a progressive and destructive disease process that can occur in many different organs including the liver, kidney, skin, and lungs. Fibrosis is typically initiated by inflammation as a result of chronic insults such as infection, chemicals and autoimmune diseases. Current approaches to examine organ fibrosis are limited to radiological and histological analyses. Infrared spectroscopic imaging offers a potential alternative approach to gain insight into biochemical changes associated with fibrosis progression. In this study, we demonstrate that IR imaging of a mouse model of pulmonary fibrosis can identify biochemical changes observed with fibrosis progression and the beginning of resolution using K-means analysis, spectral ratios and multivariate data analysis. This study demonstrates that IR imaging may be a useful approach to understand the biochemical events associated with fibrosis initiation, progression and resolution for both the clinical setting and for assessing novel anti-fibrotic drugs in a model system.
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Affiliation(s)
- Vidyani Suryadevara
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
| | - Shaiju S. Nazeer
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Hari Sreedhar
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Oluwatobi Adelaja
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - André Kajdacsy-Balla
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA
| | - Viswanathan Natarajan
- Department of Pharmacology, University of Illinois at Chicago, Chicago, IL 60612, USA
- Contributed equally as senior co-authors
| | - Michael J. Walsh
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA
- Contributed equally as senior co-authors
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11
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Bangaoil R, Santillan A, Angeles LM, Abanilla L, Lim A, Ramos MC, Fellizar A, Guevarra L, Albano PM. ATR-FTIR spectroscopy as adjunct method to the microscopic examination of hematoxylin and eosin-stained tissues in diagnosing lung cancer. PLoS One 2020; 15:e0233626. [PMID: 32469931 PMCID: PMC7259682 DOI: 10.1371/journal.pone.0233626] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 05/10/2020] [Indexed: 12/24/2022] Open
Abstract
Lung cancer remains the leading cause of cancer-related death worldwide. Since prognosis and treatment outcomes rely on fast and accurate diagnosis, there is a need for more cost-effective, sensitive, and specific method for lung cancer detection. Thus, this study aimed to determine the ability of ATR-FTIR in discriminating malignant from benign lung tissues and evaluate its concordance with H&E staining. Three (3) 5μm-thick sections were cut from formalin fixed paraffin embedded (FFPE) cell or tissue blocks from patients with lung lesions. The outer sections were H&E-stained and sent to two (2) pathologists to confirm the histopathologic diagnosis. The inner section was deparaffinized by standard xylene method and then subjected to ATR-FTIR analysis. Distinct spectral profiles that distinguished (p<0.05) one sample from another, called the "fingerprint region", were observed in five (5) peak patterns representing the amides, lipids, and nucleic acids. Principal component analysis and hierarchical cluster analysis evidently clustered the benign from malignant tissues. ATR-FTIR showed 97.73% sensitivity, 92.45% specificity, 94.85% accuracy, 91.49% positive predictive value and 98.00% negative predictive value in discriminating benign from malignant lung tissue. Further, strong agreement was observed between histopathologic readings and ATR-FTIR analysis. This study shows the potential of ATR-FTIR spectroscopy as a potential adjunct method to the gold standard, the microscopic examination of hematoxylin and eosin (H&E)-stained tissues, in diagnosing lung cancer.
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Affiliation(s)
- Ruth Bangaoil
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- University of Santo Tomas Hospital, Manila, Philippines
| | - Abegail Santillan
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
| | - Lara Mae Angeles
- University of Santo Tomas Hospital, Manila, Philippines
- Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines
| | - Lorenzo Abanilla
- Divine Word Hospital, Tacloban City, Northern Leyte, Philippines
| | - Antonio Lim
- Divine Word Hospital, Tacloban City, Northern Leyte, Philippines
| | - Ma. Cristina Ramos
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Mariano Marcos Memorial Hospital and Medical Center, Ilocos Norte, Philippines
| | - Allan Fellizar
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- College of Science, University of Santo Tomas, Manila, Philippines
| | - Leonardo Guevarra
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Faculty of Pharmacy, University of Santo Tomas, Manila, Philippines
| | - Pia Marie Albano
- The Graduate School, University of Santo Tomas, Manila, Philippines
- Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila, Philippines
- Mariano Marcos Memorial Hospital and Medical Center, Ilocos Norte, Philippines
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12
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Biofluid diagnostics by FTIR spectroscopy: A platform technology for cancer detection. Cancer Lett 2020; 477:122-130. [DOI: 10.1016/j.canlet.2020.02.020] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 01/31/2020] [Accepted: 02/14/2020] [Indexed: 12/19/2022]
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13
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Su KY, Lee WL. Fourier Transform Infrared Spectroscopy as a Cancer Screening and Diagnostic Tool: A Review and Prospects. Cancers (Basel) 2020; 12:E115. [PMID: 31906324 PMCID: PMC7017192 DOI: 10.3390/cancers12010115] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 12/21/2019] [Accepted: 12/24/2019] [Indexed: 02/07/2023] Open
Abstract
Infrared spectroscopy has long been used to characterize chemical compounds, but the applicability of this technique to the analysis of biological materials containing highly complex chemical components is arguable. However, recent advances in the development of infrared spectroscopy have significantly enhanced the capacity of this technique in analyzing various types of biological specimens. Consequently, there is an increased number of studies investigating the application of infrared spectroscopy in screening and diagnosis of various diseases. The lack of highly sensitive and specific methods for early detection of cancer has warranted the search for novel approaches. Being more simple, rapid, accurate, inexpensive, non-destructive and suitable for automation compared to existing screening, diagnosis, management and monitoring methods, Fourier transform infrared spectroscopy can potentially improve clinical decision-making and patient outcomes by detecting biochemical changes in cancer patients at the molecular level. Besides the commonly analyzed blood and tissue samples, extracellular vesicle-based method has been gaining popularity as a non-invasive approach. Therefore, infrared spectroscopic analysis of extracellular vesicles could be a useful technique in the future for biomedical applications. In this review, we discuss the potential clinical applications of Fourier transform infrared spectroscopic analysis using various types of biological materials for cancer. Additionally, the rationale and advantages of using extracellular vesicles in the spectroscopic analysis for cancer diagnostics are discussed. Furthermore, we highlight the challenges and future directions of clinical translation of the technique for cancer.
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Affiliation(s)
| | - Wai-Leng Lee
- School of Science, Monash University Malaysia, Subang Jaya 47500, Malaysia
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14
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Oleneva E, Panchenko A, Khaydukova M, Gubareva E, Bibikova O, Artyushenko V, Legin A, Kirsanov D. In vivo and in vitro application of near-infrared fiber optic probe for Ehrlich carcinoma distinction: Towards the development of real-time tumor margins assessment tool. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 213:12-18. [PMID: 30677734 DOI: 10.1016/j.saa.2019.01.061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 10/26/2018] [Accepted: 01/15/2019] [Indexed: 06/09/2023]
Abstract
This report describes a full-scale experiment on intradermal Ehrlich carcinoma (EC) differentiation in mouse model using NIR spectroscopy in diffuse reflectance mode and chemometric data processing. EC is widely used as an experimental tumor model due to its resemblance with human undifferentiated epithelial tumors and can be applied as a preclinical testing in order to verify the capability of NIR spectroscopy to distinguish cancer from healthy tissues before a clinical research with an aim of creating a new analytical tool for on-line intraoperative tumor margins assessment. The study consists of five steps of NIR spectra measurements: in vivo on the early stage of carcinoma growth; in vivo on the advanced stage of carcinoma growth; in vivo during the surgery; in vitro study of the post-operative materials stored in formalin; in vitro study of the post-operative materials stored in paraffin. It was shown that reliable tumor differentiation with a compact optic fiber probe was possible in all these cases. The classification models were built on two data sets, obtained during in vivo and in vitro measurements; both of them demonstrated 100% specificity and sensitivity.
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Affiliation(s)
- Ekaterina Oleneva
- Laboratory of Artificial Sensory Systems, ITMO University, 197101, Kronverksky prospect, 49, St. Petersburg, Russia.
| | - Andrey Panchenko
- Laboratory of Carcinogenesis and Aging, FSBI "N.N. Petrov National Medical Research Center of Oncology" of the Ministry of Healthcare of the Russian Federation, 197758, Leningradskaya street, 68, Pesochny, St. Petersburg, Russia
| | - Maria Khaydukova
- Institute of Chemistry, St. Petersburg State University, 199034, Universitetskaya emb., 7-9, St. Petersburg, Russia
| | - Ekaterina Gubareva
- Laboratory of Carcinogenesis and Aging, FSBI "N.N. Petrov National Medical Research Center of Oncology" of the Ministry of Healthcare of the Russian Federation, 197758, Leningradskaya street, 68, Pesochny, St. Petersburg, Russia
| | - Olga Bibikova
- Art photonics GmbH, 12489, Rudower Chaussee, 46, Berlin, Germany
| | | | - Andrey Legin
- Laboratory of Artificial Sensory Systems, ITMO University, 197101, Kronverksky prospect, 49, St. Petersburg, Russia; Institute of Chemistry, St. Petersburg State University, 199034, Universitetskaya emb., 7-9, St. Petersburg, Russia
| | - Dmitry Kirsanov
- Laboratory of Artificial Sensory Systems, ITMO University, 197101, Kronverksky prospect, 49, St. Petersburg, Russia; Institute of Chemistry, St. Petersburg State University, 199034, Universitetskaya emb., 7-9, St. Petersburg, Russia
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15
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Random subspace-based ensemble modeling for near-infrared spectral diagnosis of colorectal cancer. Anal Biochem 2019; 567:38-44. [DOI: 10.1016/j.ab.2018.12.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 12/02/2018] [Accepted: 12/10/2018] [Indexed: 02/07/2023]
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16
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Tabish TA, Lin L, Ali M, Jabeen F, Ali M, Iqbal R, Horsell DW, Winyard PG, Zhang S. Investigating the bioavailability of graphene quantum dots in lung tissues via Fourier transform infrared spectroscopy. Interface Focus 2018; 8:20170054. [PMID: 29696086 PMCID: PMC5915656 DOI: 10.1098/rsfs.2017.0054] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2018] [Indexed: 12/17/2022] Open
Abstract
Biomolecular fractions affect the fate and behaviour of quantum dots (QDs) in living systems but how the interactions between biomolecules and QDs affect the bioavailability of QDs is a major knowledge gap in risk assessment analysis. The transport of QDs after release into a living organism is a complex process. The majority accumulate in the lungs where they can directly affect the inhalation process and lung architecture. Here, we investigate the bioavailability of graphene quantum dots (GQDs) to the lungs of rats by measuring the alterations in macromolecular fractions via Fourier transform infrared spectroscopy (FTIR). GQDs were intravenously injected into the rats in a dose-dependent manner (low (5 mg kg-1) and high (15 mg kg-1) doses of GQDs per body weight of rat) for 7 days. The lung tissues were isolated, processed and haematoxylin-eosin stained for histological analysis to identify cell death. Key biochemical differences were identified by spectral signatures: pronounced changes in cholesterol were found in two cases of low and high doses; a change in phosphorylation profile of substrate proteins in the tissues was observed in low dose at 24 h. This is the first time biomolecules have been measured in biological tissue using FTIR to investigate the biocompatibility of foreign material. We found that highly accurate toxicological changes can be investigated with FTIR measurements of tissue sections. As a result, FTIR could form the basis of a non-invasive pre-diagnostic tool for predicting the toxicity of GQDs.
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Affiliation(s)
- Tanveer A. Tabish
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QL, UK
| | - Liangxu Lin
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QL, UK
| | - Muhammad Ali
- Department of Zoology, Government College University, Faisalabad, 38000, Pakistan
| | - Farhat Jabeen
- Department of Zoology, Government College University, Faisalabad, 38000, Pakistan
| | - Muhammad Ali
- Faculty of Animal Sciences, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - Rehana Iqbal
- Faculty of Animal Sciences, Bahauddin Zakariya University, Multan, 60800, Pakistan
| | - David W. Horsell
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QL, UK
| | - Paul G. Winyard
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, St Luke's Campus, Exeter EX1 2LU, UK
| | - Shaowei Zhang
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QL, UK
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17
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De Bruyne S, Speeckaert MM, Delanghe JR. Applications of mid-infrared spectroscopy in the clinical laboratory setting. Crit Rev Clin Lab Sci 2017; 55:1-20. [PMID: 29239240 DOI: 10.1080/10408363.2017.1414142] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Fourier transform mid-infrared (MIR-FTIR) spectroscopy is a nondestructive, label-free, highly sensitive and specific technique that provides complete information on the chemical composition of biological samples. The technique both can offer fundamental structural information and serve as a quantitative analysis tool. Therefore, it has many potential applications in different fields of clinical laboratory science. Although considerable technological progress has been made to promote biomedical applications of this powerful analytical technique, most clinical laboratory analyses are based on spectroscopic measurements in the visible or ultraviolet (UV) spectrum and the potential role of FTIR spectroscopy still remains unexplored. In this review, we present some general principles of FTIR spectroscopy as a useful method to study molecules in specimens by MIR radiation together with a short overview of methods to interpret spectral data. We aim at illustrating the wide range of potential applications of the proposed technique in the clinical laboratory setting with a focus on its advantages and limitations and discussing the future directions. The reviewed applications of MIR spectroscopy include (1) quantification of clinical parameters in body fluids, (2) diagnosis and monitoring of cancer and other diseases by analysis of body fluids, cells, and tissues, (3) classification of clinically relevant microorganisms, and (4) analysis of kidney stones, nails, and faecal fat.
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Affiliation(s)
- Sander De Bruyne
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
| | | | - Joris R Delanghe
- a Department of Clinical Chemistry , Ghent University Hospital , Ghent , Belgium
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18
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Bogomolov A, Zabarylo U, Kirsanov D, Belikova V, Ageev V, Usenov I, Galyanin V, Minet O, Sakharova T, Danielyan G, Feliksberger E, Artyushenko V. Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics. SENSORS 2017; 17:s17081914. [PMID: 28825612 PMCID: PMC5579832 DOI: 10.3390/s17081914] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 08/07/2017] [Accepted: 08/15/2017] [Indexed: 11/29/2022]
Abstract
Optical spectroscopy is increasingly used for cancer diagnostics. Tumor detection feasibility in human kidney samples using mid- and near-infrared (NIR) spectroscopy, fluorescence spectroscopy, and Raman spectroscopy has been reported (Artyushenko et al., Spectral fiber sensors for cancer diagnostics in vitro. In Proceedings of the European Conference on Biomedical Optics, Munich, Germany, 21–25 June 2015). In the present work, a simplification of the NIR spectroscopic analysis for cancer diagnostics was studied. The conventional high-resolution NIR spectroscopic method of kidney tumor diagnostics was replaced by a compact optical sensing device constructively represented by a set of four light-emitting diodes (LEDs) at selected wavelengths and one detecting photodiode. Two sensor prototypes were tested using 14 in vitro clinical samples of 7 different patients. Statistical data evaluation using principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) confirmed the general applicability of the LED-based sensing approach to kidney tumor detection. An additional validation of the results was performed by means of sample permutation.
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Affiliation(s)
- Andrey Bogomolov
- Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
- Laboratory of Multivariate Analysis and Global Modeling, Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia.
| | - Urszula Zabarylo
- Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
- Medical Physics & Optical Diagnostics, CC6 Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany.
| | - Dmitry Kirsanov
- Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia.
| | - Valeria Belikova
- Laboratory of Multivariate Analysis and Global Modeling, Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia.
| | - Vladimir Ageev
- Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
| | - Iskander Usenov
- Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
- Institute of Optics and Atomic Physics, Technical University of Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany.
| | - Vladislav Galyanin
- Laboratory of Multivariate Analysis and Global Modeling, Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia.
| | - Olaf Minet
- Medical Physics & Optical Diagnostics, CC6 Campus Benjamin Franklin, Charité Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany.
| | - Tatiana Sakharova
- General Physics Institute of Russian Academy of Sciences, Vavilova 38, 119991 Moscow, Russia.
| | - Georgy Danielyan
- General Physics Institute of Russian Academy of Sciences, Vavilova 38, 119991 Moscow, Russia.
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19
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Verdonck M, Denayer A, Delvaux B, Garaud S, De Wind R, Desmedt C, Sotiriou C, Willard-Gallo K, Goormaghtigh E. Characterization of human breast cancer tissues by infrared imaging. Analyst 2017; 141:606-19. [PMID: 26535413 DOI: 10.1039/c5an01512j] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Fourier Transform InfraRed (FTIR) spectroscopy coupled to microscopy (IR imaging) has shown unique advantages in detecting morphological and molecular pathologic alterations in biological tissues. The aim of this study was to evaluate the potential of IR imaging as a diagnostic tool to identify characteristics of breast epithelial cells and the stroma. In this study a total of 19 breast tissue samples were obtained from 13 patients. For 6 of the patients, we also obtained Non-Adjacent Non-Tumor tissue samples. Infrared images were recorded on the main cell/tissue types identified in all breast tissue samples. Unsupervised Principal Component Analyses and supervised Partial Least Square Discriminant Analyses (PLS-DA) were used to discriminate spectra. Leave-one-out cross-validation was used to evaluate the performance of PLS-DA models. Our results show that IR imaging coupled with PLS-DA can efficiently identify the main cell types present in FFPE breast tissue sections, i.e. epithelial cells, lymphocytes, connective tissue, vascular tissue and erythrocytes. A second PLS-DA model could distinguish normal and tumor breast epithelial cells in the breast tissue sections. A patient-specific model reached particularly high sensitivity, specificity and MCC rates. Finally, we showed that the stroma located close or at distance from the tumor exhibits distinct spectral characteristics. In conclusion FTIR imaging combined with computational algorithms could be an accurate, rapid and objective tool to identify/quantify breast epithelial cells and differentiate tumor from normal breast tissue as well as normal from tumor-associated stroma, paving the way to the establishment of a potential complementary tool to ensure safe tumor margins.
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Affiliation(s)
- M Verdonck
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - A Denayer
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - B Delvaux
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
| | - S Garaud
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - R De Wind
- Pathological Anatomy Department, Institut Jules Bordet, Brussels, Belgium
| | - C Desmedt
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Brussels, Belgium
| | - C Sotiriou
- Breast Cancer Translational Research Laboratory, Institut Jules Bordet, Brussels, Belgium
| | - K Willard-Gallo
- Molecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - E Goormaghtigh
- Laboratory of Structure and Function of Biological Membranes, Center of Structural Biology and Bioinformatics, Université Libre de Bruxelles, Brussels, Belgium.
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20
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Chen H, Lin Z, Tan C. Probabilistic Characterization Using Partial Least Squares and Near-Infrared Spectroscopy for Cancer Diagnosis. ANAL LETT 2015. [DOI: 10.1080/00032719.2015.1027900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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21
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Clemens G, Hands JR, Dorling KM, Baker MJ. Vibrational spectroscopic methods for cytology and cellular research. Analyst 2015; 139:4411-44. [PMID: 25028699 DOI: 10.1039/c4an00636d] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The use of vibrational spectroscopy, FTIR and Raman, for cytology and cellular research has the potential to revolutionise the approach to cellular analysis. Vibrational spectroscopy is non-destructive, simple to operate and provides direct information. Importantly it does not require expensive exogenous labels that may affect the chemistry of the cell under analysis. In addition, the advent of spectroscopic microscopes provides the ability to image cells and acquire spectra with a subcellular resolution. This introductory review focuses on recent developments within this fast paced field and highlights potential for the future use of FTIR and Raman spectroscopy. We particularly focus on the development of live cell research and the new technologies and methodologies that have enabled this.
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Affiliation(s)
- Graeme Clemens
- Centre for Materials Science, Division of Chemistry, University of Central Lancashire, Preston, Lancashire PR1 2HE, UK.
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22
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Tian P, Zhang W, Zhao H, Lei Y, Cui L, Zhang Y, Xu Z. Intraoperative detection of sentinel lymph node metastases in breast carcinoma by Fourier transform infrared spectroscopy. Br J Surg 2015. [PMID: 26198697 DOI: 10.1002/bjs.9882] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Abstract
Background
Sentinel lymph node (SLN) biopsy is a routine surgical staging procedure in clinically lymph node-negative breast cancer. Fourier transform infrared (FTIR) spectroscopy, a technique based on the biochemical composition of the tissue, has previously been found to be capable of differentiating between normal and malignant tissue. The aim of the present study was to explore the intraoperative use of FTIR spectroscopy for rapidly identifying metastatic SLNs, and distinguishing between metastatic and non-metastatic tissue.
Methods
Freshly removed SLNs from patients with breast cancer were analysed. Samples were measured by FTIR spectroscopy before histopathological diagnosis. The FTIR spectrum of each sample identified ten bands from 2000 to 900 cm−1. The peak position, intensity and full width at half maximum of each absorbent band were measured, and the relative intensity ratios calculated. Canonical discriminant analysis was performed to discriminate between metastatic and non-metastatic samples.
Results
A total of 149 SLNs were removed from 49 patients. Histopathological examination confirmed 38 metastatic and 111 non-metastatic SLNs. Eighteen of 29 parameters were significantly different between the metastatic and non-metastatic SLNs. Five parameters were selected as independent factors to form discriminant functions. The sensitivity, specificity and accuracy of this method were 94·7, 90·1 and 91·3 per cent respectively. The accuracy of histological analysis of frozen sections was 100 per cent.
Conclusion
FTIR spectroscopy is a promising technique for the real-time diagnosis of SLN metastasis during breast cancer surgery. Surgical relevanceSentinel lymph node (SLN) biopsy is a highly accurate predictor of overall axillary status and has become the standard in disease staging in clinically node-negative breast cancer. A rapid and accurate intraoperative assessment of metastatic spread to the SLN provides the necessary information for the surgeon to proceed with immediate axillary dissection.The results of this research indicate that Fourier transform infrared (FTIR) spectroscopy is a rapid, accurate, non-destructive and cost-effective molecular method that can be used to detect SLN metastasis during surgery.FTIR analysis could be useful for the intraoperative diagnosis of lymph node metastases at large institutions, thereby reducing the workload of pathologists, as well as in regions lacking pathologists such as in developing countries.
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Affiliation(s)
- P Tian
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - W Zhang
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - H Zhao
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Y Lei
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - L Cui
- Department of General Surgery, Peking University Third Hospital, Beijing, China
| | - Y Zhang
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Z Xu
- Department of General Surgery, Peking University Third Hospital, Beijing, China
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Chen H, Lin Z, Wu H, Wang L, Wu T, Tan C. Diagnosis of colorectal cancer by near-infrared optical fiber spectroscopy and random forest. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2015; 135:185-191. [PMID: 25064501 DOI: 10.1016/j.saa.2014.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 06/16/2014] [Accepted: 07/02/2014] [Indexed: 06/03/2023]
Abstract
Near-infrared (NIR) spectroscopy has such advantages as being noninvasive, fast, relatively inexpensive, and no risk of ionizing radiation. Differences in the NIR signals can reflect many physiological changes, which are in turn associated with such factors as vascularization, cellularity, oxygen consumption, or remodeling. NIR spectral differences between colorectal cancer and healthy tissues were investigated. A Fourier transform NIR spectroscopy instrument equipped with a fiber-optic probe was used to mimic in situ clinical measurements. A total of 186 spectra were collected and then underwent the preprocessing of standard normalize variate (SNV) for removing unwanted background variances. All the specimen and spots used for spectral collection were confirmed staining and examination by an experienced pathologist so as to ensure the representative of the pathology. Principal component analysis (PCA) was used to uncover the possible clustering. Several methods including random forest (RF), partial least squares-discriminant analysis (PLSDA), K-nearest neighbor and classification and regression tree (CART) were used to extract spectral features and to construct the diagnostic models. By comparison, it reveals that, even if no obvious difference of misclassified ratio (MCR) was observed between these models, RF is preferable since it is quicker, more convenient and insensitive to over-fitting. The results indicate that NIR spectroscopy coupled with RF model can serve as a potential tool for discriminating the colorectal cancer tissues from normal ones.
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Affiliation(s)
- Hui Chen
- Hospital, Yibin University, Yibin, Sichuan 644007, China
| | - Zan Lin
- Department of Chemistry and Chemical Engineering and Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644007, China
| | - Hegang Wu
- The First People's Hospital of Yibin , Yibin, Sichuan 644000, China
| | - Li Wang
- Department of Chemistry and Chemical Engineering and Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644007, China
| | - Tong Wu
- Department of Chemistry and Chemical Engineering and Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644007, China
| | - Chao Tan
- Department of Chemistry and Chemical Engineering and Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan 644007, China; Computational Physics Key Laboratory of Sichuan Province, Yibin University, Yibin, Sichuan 644007, China.
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24
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Near-infrared spectroscopy as a diagnostic tool for distinguishing between normal and malignant colorectal tissues. BIOMED RESEARCH INTERNATIONAL 2015; 2015:472197. [PMID: 25654106 PMCID: PMC4309295 DOI: 10.1155/2015/472197] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 12/26/2014] [Indexed: 12/04/2022]
Abstract
Cancer diagnosis is one of the most important tasks of biomedical research and has become the main objective of medical investigations.
The present paper proposed an analytical strategy for distinguishing between normal and malignant colorectal tissues
by combining the use of near-infrared (NIR) spectroscopy with chemometrics. The successive projection algorithm-linear discriminant analysis
(SPA-LDA) was used to seek a reduced subset of variables/wavenumbers and build a diagnostic model of LDA. For comparison, the partial least
squares-discriminant analysis (PLS-DA) based on full-spectrum classification was also used as the reference. Principal component analysis (PCA)
was used for a preliminary analysis. A total of 186 spectra from 20 patients with partial colorectal resection were collected and divided into three subsets for training,
optimizing, and testing the model. The results showed that, compared to PLS-DA, SPA-LDA provided more parsimonious model using only three
wavenumbers/variables (4065, 4173, and 5758 cm−1) to achieve the sensitivity of 84.6%, 92.3%, and 92.3%
for the training, validation, and test sets, respectively, and the specificity of 100% for each subset. It indicated that the combination of
NIR spectroscopy and SPA-LDA algorithm can serve as a potential tool for distinguishing between normal and malignant colorectal tissues.
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25
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Bunaciu AA, Hoang VD, Aboul-Enein HY. Applications of FT-IR Spectrophotometry in Cancer Diagnostics. Crit Rev Anal Chem 2015; 45:156-65. [DOI: 10.1080/10408347.2014.904733] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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26
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Wang SK, Cheng CM. Glycan-based diagnostic devices: current progress, challenges and perspectives. Chem Commun (Camb) 2015; 51:16750-62. [DOI: 10.1039/c5cc06876b] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The development of glycan-based diagnostic devices is illustrated with recent examples from both carbohydrate recognition and device design aspects.
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Affiliation(s)
- Sheng-Kai Wang
- Department of Chemistry
- National Tsing Hua University
- Hsinchu 300
- Taiwan
| | - Chao-Min Cheng
- Institute of Biomedical Engineering
- National Tsing Hua University
- Taiwan
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27
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Wood BR, Kiupel M, McNaughton D. Progress in Fourier Transform Infrared Spectroscopic Imaging Applied to Venereal Cancer Diagnosis. Vet Pathol 2013; 51:224-37. [DOI: 10.1177/0300985813501340] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Fourier transform infrared imaging spectroscopy is a powerful technique that provides molecular and spatial information at the single-cell level. We report on the progress of this technology in the field of cancer research, focusing on human cervical cancer because of the inherent difficulty in grading this type of cancer and as a model for venereal cancers in dogs. Using a suite of multivariate imaging processing techniques, we demonstrate the potential of this technique to identify histologic features in the normal epithelium and cervical intraepithelial neoplasia stages I and III. We highlight the advantages and detail the barriers that need to be overcome before implementation of this technology in the clinical environment.
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Affiliation(s)
- B. R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Victoria, Australia
| | - M. Kiupel
- Department of Pathobiology and Diagnostic Investigation, Diagnostic Center for Population and Animal Health, Michigan State University, East Lansing, USA
| | - D. McNaughton
- Centre for Biospectroscopy, School of Chemistry, Monash University, Victoria, Australia
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28
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Morato EM, Morais GR, Sato F, Medina AN, Svidzinski TIE, Baesso ML, Hernandes L. Morphological and Structural Changes in Lung Tissue Infected byParacoccidioides brasiliensis: FTIR Photoacoustic Spectroscopy and Histological Analysis. Photochem Photobiol 2013; 89:1170-5. [DOI: 10.1111/php.12110] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2013] [Accepted: 06/03/2013] [Indexed: 01/22/2023]
Affiliation(s)
- Edilaine M. Morato
- Department of Morphological Science; Universidade Estadual de Maringá; Maringá; PR; Brazil
| | - Gutierrez R. Morais
- Department of Physics; Universidade Estadual de Maringá; Maringá; PR; Brazil
| | - Francielle Sato
- Department of Physics; Universidade Estadual de Maringá; Maringá; PR; Brazil
| | - Antonio N. Medina
- Department of Physics; Universidade Estadual de Maringá; Maringá; PR; Brazil
| | | | - Mauro L. Baesso
- Department of Physics; Universidade Estadual de Maringá; Maringá; PR; Brazil
| | - Luzmarina Hernandes
- Department of Morphological Science; Universidade Estadual de Maringá; Maringá; PR; Brazil
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29
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Lee S, Kim K, Lee H, Jun CH, Chung H, Park JJ. Improving the classification accuracy for IR spectroscopic diagnosis of stomach and colon malignancy using non-linear spectral feature extraction methods. Analyst 2013; 138:4076-82. [DOI: 10.1039/c3an00256j] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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