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Duckworth E, Mortimer M, Al‐Sarireh B, Kanamarlapudi V, Roy D. Frontline clinical diagnosis-FTIR on pancreatic cancer. Cancer Med 2023; 12:17340-17345. [PMID: 37466344 PMCID: PMC10501286 DOI: 10.1002/cam4.6346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 06/23/2023] [Accepted: 07/05/2023] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVE Accurate, easily accessible and economically viable cancer diagnostic tools are pivotal in improving the abysmal 5% survival rate of pancreatic cancer. METHODS A novel, affordable, non-invasive diagnostic method has been developed by combining measurement precision of infrared spectroscopy with classification using machine learning tools. RESULTS Diagnosis accuracy as high as 90% has been achieved. The study investigated urine and blood from pancreas cancer patients and healthy volunteers, and significantly improved accuracy by focusing on sweet-spots within blood plasma fractions containing molecules within a narrow range of molecular weights.
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2
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Zniber M, Vahdatiyekta P, Huynh TP. Analysis of urine using electronic tongue towards non-invasive cancer diagnosis. Biosens Bioelectron 2023; 219:114810. [PMID: 36272349 DOI: 10.1016/j.bios.2022.114810] [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] [Received: 10/01/2021] [Revised: 04/27/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022]
Abstract
Electronic tongues (e-tongues) have been broadly employed in monitoring the quality of food, beverage, cosmetics, and pharmaceutical products, and in diagnosis of diseases, as the e-tongues can discriminate samples of high complexity, reduce interference of the matrix, offer rapid response. Compared to other analytical approaches using expensive and complex instrumentation as well as required sample preparation, the e-tongue is non-destructive, miniaturizable and on-site method with little or no preparation of samples. Even though e-tongues are successfully commercialized, their application in cancer diagnosis from urine samples is underestimated. In this review, we would like to highlight the various analytical techniques such as Raman spectroscopy, infrared spectroscopy, fluorescence spectroscopy, and electrochemical methods (potentiometry and voltammetry) used as e-tongues for urine analysis towards non-invasive cancer diagnosis. Besides, different machine learning approaches, for instance, supervised and unsupervised learning algorithms are introduced to analyze extracted chemical data. Finally, capabilities of e-tongues in distinguishing between patients diagnosed with cancer and healthy controls are highlighted.
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Affiliation(s)
- Mohammed Zniber
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, 20500, Turku, Finland
| | - Parastoo Vahdatiyekta
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, 20500, Turku, Finland
| | - Tan-Phat Huynh
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, 20500, Turku, Finland.
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3
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Duckworth E, Hole A, Deshmukh A, Chaturvedi P, Chilakapati MK, Mora B, Roy D. Improving Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis: Fourier Transform Infrared on Buccal Mucosa Cancer. Anal Chem 2022; 94:13642-13646. [PMID: 36161799 PMCID: PMC9558084 DOI: 10.1021/acs.analchem.2c02496] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
We report a novel
method with higher than 90% accuracy
in diagnosing
buccal mucosa cancer. We use Fourier transform infrared spectroscopic
analysis of human serum by suppressing confounding high molecular
weight signals, thus relatively enhancing the biomarkers’ signals.
A narrower range molecular weight window of the serum was also investigated
that yielded even higher accuracy on diagnosis. The most accurate
results were produced in the serum’s 10–30 kDa molecular
weight region to distinguish between the two hardest to discern classes,
i.e., premalignant and cancer patients. This work promises an avenue
for earlier diagnosis with high accuracy as well as greater insight
into the molecular origins of these signals by identifying a key molecular
weight region to focus on.
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Affiliation(s)
- Edward Duckworth
- Swansea University, Singleton Park, Swansea, SA28PP Wales, United Kingdom
| | - Arti Hole
- Advanced Centre for Treatment, Research and Education in Cancer, Kharghar, Navi Mumbai 410210, India
| | - Atul Deshmukh
- Center for Interdisciplinary Research, D. Y. Patil Dental College, Nerul, Navi Mumbai 400706, India
| | - Pankaj Chaturvedi
- Department of Life Sciences, Homi Bhaba National Institute, Mumbai 400094, India
| | - Murali Krishna Chilakapati
- Advanced Centre for Treatment, Research and Education in Cancer, Kharghar, Navi Mumbai 410210, India.,Tata Memorial Center, Head and Neck Surgical Oncology, Dr. E Borges Road, Parel, Mumbai 400012, India.,Department of Life Sciences, Homi Bhaba National Institute, Mumbai 400094, India
| | - Benjamin Mora
- Swansea University, Singleton Park, Swansea, SA28PP Wales, United Kingdom
| | - Debdulal Roy
- Swansea University, Singleton Park, Swansea, SA28PP Wales, United Kingdom
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4
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Drăgan LR, Andras D, Fechete R. Fourier Transform Infrared (FT-IR) Spectroscopy and Proton Nuclear Magnetic Resonance ( 1H NMR) Relaxometry and Diffusometry for the Identification of Colorectal Cancer in Blood Plasma. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2065497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Lavinia Raluca Drăgan
- Faculty of Physics, Doctoral School, Babeş-Bolyai University, Cluj-Napoca, Romania
- Surgical Department, County Emergency Hospital, Cluj-Napoca, Romania
| | - David Andras
- Surgical Department, County Emergency Hospital, Cluj-Napoca, Romania
- Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Radu Fechete
- Faculty of Physics, Doctoral School, Babeş-Bolyai University, Cluj-Napoca, Romania
- Faculty of Material and Environmental Engineering, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
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5
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Agbaria AH, Beck G, Lapidot I, Rich DH, Kapelushnik J, Mordechai S, Salman A, Huleihel M. Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms. Analyst 2020; 145:6955-6967. [PMID: 32852502 DOI: 10.1039/d0an00752h] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Physicians diagnose subjectively the etiology of inaccessible infections where sampling is not feasible (such as, pneumonia, sinusitis, cholecystitis, peritonitis), as bacterial or viral. The diagnosis is based on their experience with some medical markers like blood counts and medical symptoms since it is harder to obtain swabs and reliable laboratory results for most cases. In this study, infrared spectroscopy with machine learning algorithms was used for the rapid and objective diagnosis of the etiology of inaccessible infections and enables an assessment of the error for the subjective diagnosis of the etiology of these infections by physicians. Our approach allows for diagnoses of the etiology of both accessible and inaccessible infections as based on an analysis of the innate immune system response through infrared spectroscopy measurements of white blood cell (WBC) samples. In the present study, we examined 343 individuals involving 113 controls, 89 inaccessible bacterial infections, 54 accessible bacterial infections, 60 inaccessible viral infections, and 27 accessible viral infections. Using our approach, the results show that it is possible to differentiate between controls and infections (combined bacterial and viral) with 95% accuracy, and enabling the diagnosis of the etiology of accessible infections as bacterial or viral with >94% sensitivity and > 90% specificity within one hour after the collection of the blood sample with error rate <6%. Based on our approach, the error rate of the physicians' subjective diagnosis of the etiology of inaccessible infections was found to be >23%.
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Affiliation(s)
- Adam H Agbaria
- Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
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6
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Grunert T, Herzog R, Wiesenhofer FM, Vychytil A, Ehling-Schulz M, Kratochwill K. Vibrational Spectroscopy of Peritoneal Dialysis Effluent for Rapid Assessment of Patient Characteristics. Biomolecules 2020; 10:biom10060965. [PMID: 32604921 PMCID: PMC7357123 DOI: 10.3390/biom10060965] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/15/2020] [Accepted: 06/23/2020] [Indexed: 12/13/2022] Open
Abstract
Peritoneal dialysis (PD) offers specific advantages over hemodialysis, enabling increased autonomy of patients with end-stage renal disease, but PD-related complications need to be detected in a timely manner. Fourier transform infrared (FTIR) spectroscopy could provide rapid and essential insights into the patients' risk profiles via molecular fingerprinting of PD effluent, an abundant waste material that is rich in biological information. In this study, we measured FTIR spectroscopic profiles in PD effluent from patients taking part in a randomized controlled trial of alanyl-glutamine addition to the PD-fluid. Principal component analysis of FTIR spectra enabled us to differentiate between effluent samples from patients immediately after completion of instillation of the PD-fluid into the patients' cavity and 4 h later as well as between patients receiving PD-fluid supplemented with 8 mM alanyl-glutamine compared with control. Moreover, feasibility of FTIR spectroscopy coupled to supervised classification algorithms to predict patient-, PD-, as well as immune-associated parameters were investigated. PD modality (manual continuous ambulatory PD (CAPD) vs. cycler-assisted automated PD (APD)), residual urine output, ultrafiltration, transport parameters, and cytokine concentrations showed high predictive potential. This study provides proof-of-principle that molecular signatures determined by FTIR spectroscopy of PD effluent, combined with machine learning, are suitable for cost-effective, high-throughput diagnostic purposes in PD.
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Affiliation(s)
- Tom Grunert
- Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Veterinaerplatz 1, 1210 Vienna, Austria;
- Correspondence: (T.G.); (K.K.)
| | - Rebecca Herzog
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria; (R.H.); (F.M.W.)
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, 1090 Vienna, Austria
| | - Florian M. Wiesenhofer
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria; (R.H.); (F.M.W.)
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, 1090 Vienna, Austria
| | - Andreas Vychytil
- Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, 1090 Vienna, Austria;
| | - Monika Ehling-Schulz
- Functional Microbiology, Institute of Microbiology, Department of Pathobiology, University of Veterinary Medicine, Veterinaerplatz 1, 1210 Vienna, Austria;
| | - Klaus Kratochwill
- Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090 Vienna, Austria; (R.H.); (F.M.W.)
- Division of Pediatric Nephrology and Gastroenterology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics, Medical University of Vienna, 1090 Vienna, Austria
- Correspondence: (T.G.); (K.K.)
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7
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Agbaria AH, Rosen GB, Lapidot I, Rich DH, Mordechai S, Kapelushnik J, Huleihel M, Salman A. Rapid diagnosis of infection etiology in febrile pediatric oncology patients using infrared spectroscopy of leukocytes. JOURNAL OF BIOPHOTONICS 2020; 13:e201900215. [PMID: 31566906 DOI: 10.1002/jbio.201900215] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/27/2019] [Accepted: 09/15/2019] [Indexed: 06/10/2023]
Abstract
Rapid diagnosis of the etiology of infection is highly important for an effective treatment of the infected patients. Bacterial and viral infections are serious diseases that can cause death in many cases. The human immune system deals with many viral and bacterial infections that cause no symptoms and pass quietly without treatment. However, oncology patients undergoing chemotherapy have a very weak immune system caused by leukopenia, and even minor pathogen infection threatens their lives. For this reason, physicians tend to prescribe immediately several types of antibiotics for febrile pediatric oncology patients (FPOPs). Uncontrolled use of antibiotics is one of the major contributors to the development of resistant bacteria. Therefore, for oncology patients, a rapid and objective diagnosis of the etiology of the infection is extremely critical. Current identification methods are time-consuming (>24 h). In this study, the potential of midinfrared spectroscopy in tandem with machine learning algorithms is evaluated for rapid and objective diagnosis of the etiology of infections in FPOPs using simple peripheral blood samples. Our results show that infrared spectroscopy enables the diagnosis of the etiology of infection as bacterial or viral within 70 minutes after the collection of the blood sample with 93% sensitivity and 88% specificity.
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Affiliation(s)
- Adam H Agbaria
- Department of Physics, Ben-Gurion University, Beer-Sheva, Israel
| | - Guy Beck Rosen
- Department of Hematology, Soroka University Medical Center, Beer-Sheva, Israel
| | - Itshak Lapidot
- Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv, Israel
| | - Daniel H Rich
- Department of Physics, Ben-Gurion University, Beer-Sheva, Israel
| | - Shaul Mordechai
- Department of Physics, Ben-Gurion University, Beer-Sheva, Israel
| | - Joseph Kapelushnik
- Department of Hematology, Soroka University Medical Center, Beer-Sheva, Israel
| | - Mahmoud Huleihel
- Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ahmad Salman
- Department of Physics, SCE-Sami Shamoon College of Engineering, Beer-Sheva, Israel
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8
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Anty R, Morvan M, Le Corvec M, Canivet CM, Patouraux S, Gugenheim J, Bonnafous S, Bailly-Maitre B, Sire O, Tariel H, Bernard J, Piche T, Loréal O, Aron-Wisnewsky J, Clément K, Tran A, Iannelli A, Gual P. The mid-infrared spectroscopy: A novel non-invasive diagnostic tool for NASH diagnosis in severe obesity. JHEP Rep 2019; 1:361-368. [PMID: 32039387 PMCID: PMC7005664 DOI: 10.1016/j.jhepr.2019.09.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 09/23/2019] [Accepted: 09/28/2019] [Indexed: 02/07/2023] Open
Abstract
There is an urgent medical need to develop non-invasive tests for non-alcoholic steatohepatitis (NASH). This study evaluates the diagnostic performance of an innovative model based on mid-infrared (MIR) spectroscopy for the diagnosis of NASH. Methods Severely obese patients who underwent a bariatric procedure at the University Hospital of Nice, France (n = 395) were prospectively recruited. The clinico-biological characteristics were measured prior to surgery. Liver biopsies were collected during the surgical procedure and assessed by a pathologist. A training group (316 patients, NASH: 16.8%) and a validation group (79 patients, NASH: 16.5%) were randomly defined. MIR spectra were acquired by fiber evanescent wave spectroscopy, using chalcogenide glass fiber optic sensors and a spectrometer. This absorption spectroscopic technique delivers a spectrum that identifies the molecular composition of a sample, defining a patient's metabolic fingerprint. Results The areas under the receiver operating curve (AUROC) for the diagnosis of NASH were 0.82 and 0.77 in the training and validation groups, respectively. The best threshold was 0.15, which was associated with a sensitivity of 0.75 and 0.69, and a specificity of 0.72 and 0.76. Negative predictive values of 0.94 and 0.93 and positive predictive values of 0.35 and 0.36, as well as correctly classified patient rates of 72% and 75% were obtained in the training and validation groups, respectively. A composite model using aspartate aminotransferase level, triglyceride level and waist circumference alongside the MIR spectra led to an increase in AUROC (0.88 and 0.84 for the training and validations groups, respectively). Conclusions MIR spectroscopy provides good sensitivity and negative predictive values for NASH screening in patients with severe obesity. Lay summary There is an urgent need for tools to non-invasively diagnose and monitor non-alcoholic steatohepatitis (NASH). This study evaluates the performance of a new tool for fast NASH diagnosis based on mid-infrared (MIR) spectroscopy. Using serum samples from severely obese patients who underwent a bariatric procedure, which enabled a concomitant liver biopsy to be performed, the MIR spectroscopy model performed well in screening patients for NASH compared to a traditional, histological diagnosis. There is no validated non-invasive diagnostic tool for NASH in routine care. NASH follow-up requires a non-invasive diagnostic method. Using a simple drop of serum, the mid-infrared spectrum captures a patient’s metabolic fingerprint. A model based on mid-infrared spectroscopy provides efficient NASH screening for patients with severe obesity.
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Affiliation(s)
- Rodolphe Anty
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | - Marie Morvan
- University of Rennes, CNRS, IRMAR - UMR, 6625, Rennes, France
| | | | | | | | | | | | | | | | | | | | - Thierry Piche
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | - Olivier Loréal
- INSERM, Univ Rennes, INRA, Nutrition Metabolisms and Cancer (NuMeCan), UMR-1241, Rennes, France
| | - Judith Aron-Wisnewsky
- Sorbonne Université/Inserm Unité UMRS NutriOmics, Assistance publique hôpitaux de Paris, service de Nutrition, Paris, France
| | - Karine Clément
- Sorbonne Université/Inserm Unité UMRS NutriOmics, Assistance publique hôpitaux de Paris, service de Nutrition, Paris, France
| | - Albert Tran
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
| | | | - Philippe Gual
- Université Côte d'Azur, CHU, INSERM, U1065, C3M, France
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9
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Abstract
Fourier transform-infrared spectroscopy (FT-IR) represents an attractive molecular diagnostic modality for translation to the clinic, where comprehensive chemical profiling of biological samples may revolutionize a myriad of pathways in clinical settings. Principally, FT-IR provides a rapid, cost-effective platform to obtain a molecular fingerprint of clinical samples based on vibrational transitions of chemical bonds upon interaction with infrared light. To date, considerable research activities have demonstrated competitive to superior performance of FT-IR strategies in comparison to conventional techniques, with particular promise for earlier, accessible disease diagnostics, thereby improving patient outcomes. However, amidst the changing healthcare landscape in times of aging populations and increased prevalence of cancer and chronic disease, routine adoption of FT-IR within clinical laboratories has remained elusive. Hence, this perspective shall outline the significant clinical potential of FT-IR diagnostics and subsequently address current barriers to translation from the perspective of all stakeholders, in the context of biofluid, histopathology, cytology, microbiology, and biomarker discovery frameworks. Thereafter, future perspectives of FT-IR for healthcare will be discussed, with consideration of recent technological advances that may facilitate future clinical translation.
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Affiliation(s)
- Duncan Finlayson
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Christopher Rinaldi
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Matthew J Baker
- WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K.,ClinSpec Diagnostics Ltd. , Technology and Innovation Centre, 99 George Street , Glasgow G11RD , U.K
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10
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Song CL, Vardaki MZ, Goldin RD, Kazarian SG. Fourier transform infrared spectroscopic imaging of colon tissues: evaluating the significance of amide I and C-H stretching bands in diagnostic applications with machine learning. Anal Bioanal Chem 2019; 411:6969-6981. [PMID: 31418050 PMCID: PMC6834539 DOI: 10.1007/s00216-019-02069-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/23/2019] [Accepted: 08/01/2019] [Indexed: 12/16/2022]
Abstract
Fourier transform infrared (FTIR) spectroscopic imaging of colon biopsy tissues in transmission combined with machine learning for the classification of different stages of colon malignancy was carried out in this study. Two different approaches, an optical and a computational one, were applied for the elimination of the scattering background during the measurements and compared with the results of the machine learning model without correction for the scattering. Several different data processing pathways were implemented in order to obtain a high accuracy of the prediction model. This study demonstrates, for the first time, that C-H stretching and amide I bands are of little to no significance in the classification of the colon malignancy, based on the Gini importance values by random forest (RF). The best prediction outcome is found when supervised RF classification was carried out in the fingerprint region of the spectral data between 1500 and 1000 cm-1 (excluding the contribution of amide I and II bands). An overall prediction accuracy higher than 90% is achieved through the RF. The results also show that dysplastic and hyperplastic tissues are well distinguished. This leads to the insight that the important differences between hyperplastic and dysplastic colon tissues lie within the fingerprint region of FTIR spectra. In this study, computational correction performed better than optical correction, but the findings show that the disease states of colon biopsies can be distinguished effectively without elimination of Mie scattering effect. Graphical abstract.
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Affiliation(s)
- Cai Li Song
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, UK
| | - Martha Z Vardaki
- Michael Smith Laboratories, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Robert D Goldin
- Department of Cellular Pathology, St. Mary's Campus, Imperial College London, W2 1NY, London, UK
| | - Sergei G Kazarian
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, London, SW7 2AZ, UK.
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11
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Mordechai S, Shufan E, Porat Katz BS, Salman A. Early diagnosis of Alzheimer's disease using infrared spectroscopy of isolated blood samples followed by multivariate analyses. Analyst 2018; 142:1276-1284. [PMID: 27827489 DOI: 10.1039/c6an01580h] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, particularly in the elderly. The disease is characterized by cognitive decline that typically starts with insidious memory loss and progresses relentlessly to produce global impairment of all higher cortical functions. Due to better living conditions and health facilities in developed countries, which result in higher overall life spans, these countries report upward trends of AD among their populations. There are, however, no specific diagnostic tests for AD and clinical diagnosis is especially difficult in the earliest stages of the disease. Early diagnosis of AD is frequently subjective and is determined by physicians (generally neurologists, geriatricians, and psychiatrists) depending on their experience. Diagnosing AD requires both medical history and mental status testing. Having trouble with memory does not mean you have AD. AD has no current cure, but treatments for symptoms are available and research continues. In this study, we investigated the potential of infrared microscopy to differentiate between AD patients and controls, using Fourier transform infrared (FTIR) spectroscopy of isolated blood components. FTIR is known as a quick, safe, and minimally invasive method to investigate biological samples. For this goal, we measured infrared spectra from white blood cells (WBCs) and plasma taken from AD patients and controls, with the consent of the patients or their guardians. Applying multivariate analysis, principal component analysis (PCA) followed by linear discriminant analysis (LDA), it was possible to differentiate among the different types of mild, moderate, and severe AD, and the controls, with 85% accuracy when using the WBC spectra and about 77% when using the plasma spectra. When only the moderate and severe stages were included, an 83% accuracy was obtained using the WBC spectra and about 89% when using the plasma spectra.
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Affiliation(s)
- S Mordechai
- Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
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12
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Le Corvec M, Jezequel C, Monbet V, Fatih N, Charpentier F, Tariel H, Boussard-Plédel C, Bureau B, Loréal O, Sire O, Bardou-Jacquet E. Mid-infrared spectroscopy of serum, a promising non-invasive method to assess prognosis in patients with ascites and cirrhosis. PLoS One 2017; 12:e0185997. [PMID: 29020046 PMCID: PMC5636102 DOI: 10.1371/journal.pone.0185997] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 09/22/2017] [Indexed: 12/14/2022] Open
Abstract
Background & aims Prognostic tests are critical in the management of patients with cirrhosis and ascites. Biological tests or scores perform poorly in that situation. Mid-infrared fibre evanescent wave spectroscopy (MIR-FEWS) which allows for global serum metabolic profiling may provide more relevant information by measuring a wider range of metabolic parameters in serum. Here we present the accuracy of a MIR-FEWS based predictive model for the prognosis of 6 months survival in patients with ascites and cirrhosis. Methods Patients with ascites were prospectively included and followed up for 6 months. MIR-FEWS spectra were measured in serum samples. The most informative spectral variables obtained by MIR-FEWS were selected by FADA algorithm and then used to build the MIR model. Accuracy of this model was assessed by ROC curves and 90%/10% Monte Carlo cross-validation. MIR model accuracy for 6 months survival was compared to that of the Child-Pugh and MELD scores. Results 119 patients were included. The mean age was 57.36±13.70, the MELD score was 16.32±6.26, and the Child-Pugh score was 9.5±1.83. During follow-up, 23 patients died (20%). The MIR model had an AUROC for 6 months mortality of 0.90 (CI95: 0.88–0.91), the MELD 0.77 (CI95: 0.66–0.89) and Child-Pugh 0.76 (CI95: 0.66–0.88). MELD and Child-Pugh AUROCs were significantly lower than that of the MIR model (p = 0.02 and p = 0.02 respectively). Multivariate logistic regression analysis showed that MELD (p<0.05, OR:0.86;CI95:0.76–0.97), Beta blockers (p = 0.036;OR:0.20;CI95:0.04–0.90), and the MIR model (p<0.001; OR:0.50; CI95:0.37–0.66), were significantly associated with 6 months mortality. Conclusions In this pilot study MIR-FEWS more accurately assess the 6-month prognosis of patients with ascites and cirrhosis than the MELD or Child-Pugh scores. These promising results, if confirmed by a larger study, suggest that mid infrared spectroscopy could be helpful in the management of these patients.
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Affiliation(s)
- Maëna Le Corvec
- University Bretagne Sud, IRDL, FRE CNRS 3744, Vannes, France
- DIAFIR, Rennes, France
| | - Caroline Jezequel
- CHU Rennes, Liver disease unit, Rennes, France
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Valérie Monbet
- IRMAR Mathematics Research Institute of Rennes, UMR-CNRS 6625, Rennes, France
- INRIA/ASPI, Rennes, France
| | | | | | | | - Catherine Boussard-Plédel
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Bruno Bureau
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Olivier Loréal
- University of Rennes 1, Rennes, France
- INSERM U 1241, INRA1341, Institut NuMeCan, University of Rennes1, Rennes, France
| | - Olivier Sire
- University Bretagne Sud, IRDL, FRE CNRS 3744, Vannes, France
| | - Edouard Bardou-Jacquet
- IRMAR Mathematics Research Institute of Rennes, UMR-CNRS 6625, Rennes, France
- University of Rennes 1, Rennes, France
- INSERM U 1241, INRA1341, Institut NuMeCan, University of Rennes1, Rennes, France
- * E-mail:
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Wan QS, Wang T, Zhang KH. Biomedical optical spectroscopy for the early diagnosis of gastrointestinal neoplasms. Tumour Biol 2017; 39:1010428317717984. [PMID: 28671054 DOI: 10.1177/1010428317717984] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Gastrointestinal cancer is a leading contributor to cancer-related morbidity and mortality worldwide. Early diagnosis currently plays a key role in the prognosis of patients with gastrointestinal cancer. Despite the advances in endoscopy over the last decades, missing lesions, undersampling and incorrect sampling in biopsies, as well as invasion still result in a poor diagnostic rate of early gastrointestinal cancers. Accordingly, there is a pressing need to develop non-invasive methods for the early detection of gastrointestinal cancers. Biomedical optical spectroscopy, including infrared spectroscopy, Raman spectroscopy, diffuse scattering spectroscopy and autofluorescence, is capable of providing structural and chemical information about biological specimens with the advantages of non-destruction, non-invasion and reagent-free and waste-free analysis and has thus been widely investigated for the diagnosis of oesophageal, gastric and colorectal cancers. This review will introduce the advances of biomedical optical spectroscopy techniques, highlight their applications for the early detection of gastrointestinal cancers and discuss their limitations.
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Affiliation(s)
- Qin-Si Wan
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ting Wang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kun-He Zhang
- Department of Gastroenterology, Jiangxi Institute of Gastroenterology & Hepatology, The First Affiliated Hospital of Nanchang University, Nanchang, China
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Le Corvec M, Allain C, Lardjane S, Cavey T, Turlin B, Fautrel A, Begriche K, Monbet V, Fromenty B, Leroyer P, Guggenbuhl P, Ropert M, Sire O, Loréal O. Mid-infrared fibre evanescent wave spectroscopy of serum allows fingerprinting of the hepatic metabolic status in mice. Analyst 2016; 141:6259-6269. [DOI: 10.1039/c6an00136j] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Infrared spectroscopy from mice unveils a transition in the time course of steatosis.
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