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Novikov A, Perevoschikov S, Usenov I, Sakharova T, Artyushenko V, Bogomolov A. Multimodal fiber probe for simultaneous mid-infrared and Raman spectroscopy. Sci Rep 2024; 14:7430. [PMID: 38548800 PMCID: PMC10978856 DOI: 10.1038/s41598-024-57539-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 03/19/2024] [Indexed: 04/01/2024] Open
Abstract
A fiber probe has been developed that enables simultaneous acquisition of mid-infrared (MIR) and Raman spectra in the region of 3100-2600 cm-1. Multimodal measurement is based on a proposed ZrO2 crystal design at the tip of an attenuated total reflection (ATR) probe. Mid-infrared ATR spectra are obtained through a pair of chalcogenide infrared (CIR) fibers mounted at the base of the crystal. The probe enables both excitation and acquisition of a weak Raman signal from a portion of the sample in front of the crystal using an additional pair of silica fibers located in a plane perpendicular to the CIR fibers. The advantages of combining MIR and Raman spectra in a single probe have been discussed.
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Affiliation(s)
- Alexander Novikov
- Art Photonics GmbH, Rudower Chaussee 46, 12489, Berlin, Germany.
- Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany.
| | - Stanislav Perevoschikov
- Art Photonics GmbH, Rudower Chaussee 46, 12489, Berlin, Germany
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, 121205, Moscow, Russia
| | - Iskander Usenov
- Art Photonics GmbH, Rudower Chaussee 46, 12489, Berlin, Germany
- Technische Universität Berlin, Straße Des 17. Juni 135, 10623, Berlin, Germany
| | | | | | - Andrey Bogomolov
- Art Photonics GmbH, Rudower Chaussee 46, 12489, Berlin, Germany
- Samara State Technical University, Molodogvardeyskaya Str. 244, 443100, Samara, Russia
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2
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Fede L, Lefrere G, Hjeij M, Le Page R, Poffo L, Goujon JM, Gratiet AL. Multiparametric Remote Investigation in the near-IR through Optical Fiber for In Situ Measurements. SENSORS (BASEL, SWITZERLAND) 2023; 23:2911. [PMID: 36991622 PMCID: PMC10056751 DOI: 10.3390/s23062911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/28/2023] [Accepted: 03/04/2023] [Indexed: 06/19/2023]
Abstract
Diffuse reflectance spectroscopy (DRS) has proven to be a powerful, reliable, and non-invasive optical method for characterizing a specimen. Nevertheless, these methods are based on a rudimentary interpretation of the spectral response and can be irrelevant to understanding 3D structures. In this work, we proposed adding optical modalities into a customized handheld probe head in order to increase the number of parameters in DRS acquired from the light/matter interaction. It consists of (1) placing the sample in a reflectance manual rotation stage to collect spectral backscattered angularly resolved light and (2) illuminating it with two sequential linear polarization orientations. We demonstrate that this innovative approach leads to a compact instrument, capable of performing fast polarization-resolved spectroscopic analysis. Due to the significant amount of data available with this technique in a short time, we observe sensitive quantitative discrimination between two types of biological tissue provided by a raw rabbit leg. We believe that this technique can pave the way for rapid meat quality check or biomedical diagnosis of pathological tissues in situ at an early stage.
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Affiliation(s)
- Letizia Fede
- Politecnico di Milano, 20133 Milano, Italy
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
| | - Gregory Lefrere
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
- CEA-Gramat, F-46500 Gramat, France
| | - Maroun Hjeij
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
| | - Ronan Le Page
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
| | - Luiz Poffo
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
| | - Jean-Marc Goujon
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
| | - Aymeric Le Gratiet
- CNRS, Institut FOTON, Université de Rennes, UMR 6082, F-22305 Lannion, France
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3
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Insights into Biochemical Sources and Diffuse Reflectance Spectral Features for Colorectal Cancer Detection and Localization. Cancers (Basel) 2022; 14:cancers14225715. [PMID: 36428806 PMCID: PMC9688116 DOI: 10.3390/cancers14225715] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/23/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common and second most deadly type of cancer worldwide. Early detection not only reduces mortality but also improves patient prognosis by allowing the use of minimally invasive techniques to remove cancer while avoiding major surgery. Expanding the use of microsurgical techniques requires accurate diagnosis and delineation of the tumor margins in order to allow complete excision of cancer. We have used diffuse reflectance spectroscopy (DRS) to identify the main optical CRC biomarkers and to optimize parameters for the integration of such technologies into medical devices. A total number of 2889 diffuse reflectance spectra were collected in ex vivo specimens from 47 patients. Short source-detector distance (SDD) and long-SDD fiber-optic probes were employed to measure tissue layers from 0.5 to 1 mm and from 0.5 to 1.9 mm deep, respectively. The most important biomolecules contributing to differentiating DRS between tissue types were oxy- and deoxy-hemoglobin (Hb and HbO2), followed by water and lipid. Accurate tissue classification and potential DRS device miniaturization using Hb, HbO2, lipid and water data were achieved particularly well within the wavelength ranges 350-590 nm and 600-1230 nm for the short-SDD probe, and 380-400 nm, 420-610 nm, and 650-950 nm for the long-SDD probe.
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4
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Kaniyala Melanthota S, Kistenev YV, Borisova E, Ivanov D, Zakharova O, Boyko A, Vrazhnov D, Gopal D, Chakrabarti S, K SP, Mazumder N. Types of spectroscopy and microscopy techniques for cancer diagnosis: a review. Lasers Med Sci 2022; 37:3067-3084. [PMID: 35834141 PMCID: PMC9525344 DOI: 10.1007/s10103-022-03610-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/05/2022] [Indexed: 11/25/2022]
Abstract
Cancer is a life-threatening disease that has claimed the lives of many people worldwide. With the current diagnostic methods, it is hard to determine cancer at an early stage, due to its versatile nature and lack of genomic biomarkers. The rapid development of biophotonics has emerged as a potential tool in cancer detection and diagnosis. Using the fluorescence, scattering, and absorption characteristics of cells and tissues, it is possible to detect cancer at an early stage. The diagnostic techniques addressed in this review are highly sensitive to the chemical and morphological changes in the cell and tissue during disease progression. These changes alter the fluorescence signal of the cell/tissue and are detected using spectroscopy and microscopy techniques including confocal and two-photon fluorescence (TPF). Further, second harmonic generation (SHG) microscopy reveals the morphological changes that occurred in non-centrosymmetric structures in the tissue, such as collagen. Again, Raman spectroscopy is a non-destructive method that provides a fingerprinting technique to differentiate benign and malignant tissue based on Raman signal. Photoacoustic microscopy and spectroscopy of tissue allow molecule-specific detection with high spatial resolution and penetration depth. In addition, terahertz spectroscopic studies reveal the variation of tissue water content during disease progression. In this review, we address the applications of spectroscopic and microscopic techniques for cancer detection based on the optical properties of the tissue. The discussed state-of-the-art techniques successfully determines malignancy to its rapid diagnosis.
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Affiliation(s)
- Sindhoora Kaniyala Melanthota
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Yury V Kistenev
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
- Central Research Laboratory, Siberian State Medical University, Tomsk, 634050, Russia
| | - Ekaterina Borisova
- Laboratory of Biophotonics, Institute of Electronics, Bulgarian Academy of Sciences, Tsarigradsko Chaussee Blvd, 72, 1784, Sofia, Bulgaria.
- Biology Faculty, Saratov State University, 83, Astrakhanskaya Str, 410012, Saratov, Russia.
| | - Deyan Ivanov
- Laboratory of Biophotonics, Institute of Electronics, Bulgarian Academy of Sciences, Tsarigradsko Chaussee Blvd, 72, 1784, Sofia, Bulgaria
| | - Olga Zakharova
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Andrey Boyko
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Denis Vrazhnov
- Laboratory of Biophotonics, Tomsk State University, Tomsk, 634050, Russia
| | - Dharshini Gopal
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Shweta Chakrabarti
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Shama Prasada K
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, 576104, Manipal, India.
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Bogomolov AY. Optical Multisensor Systems in Analytical Spectroscopy. JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1134/s1061934822030030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Budylin GS, Davydov DA, Zlobina NV, Baev AV, Artyushenko VG, Yakimov BP, Shirshin EA. In vivo sensing of cutaneous edema: A comparative study of diffuse reflectance, Raman spectroscopy and multispectral imaging. JOURNAL OF BIOPHOTONICS 2022; 15:e202100268. [PMID: 34661967 DOI: 10.1002/jbio.202100268] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/11/2021] [Accepted: 10/12/2021] [Indexed: 06/13/2023]
Abstract
Quantitative noninvasive assessment of water content in tissues is important for biomedicine. Optical spectroscopy is potentially capable of solving this problem; however, its applicability for clinical diagnostics remains questionable. The presented study compares diffuse reflectance spectroscopy, Raman spectroscopy and multispectral imaging in the characterization of cutaneous edema. The source-detector geometries for each method are selected based on Monte Carlo simulations results to detect the signal from the dermis. Then, the kinetics of the edema development is studied for two models. All methods demonstrate synchronous trends for histamine-induced edema: The water content reaches a maximum of 1 hour after histamine application and then gradually decreases. For the venous occlusion, a 51% increase in water content is observed with Raman spectroscopy. The differences in water content estimation by three methods are explained based on the light propagation model. The obtained results are essential for introducing quantitative optical water measurement technology to the clinics.
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Affiliation(s)
- Gleb S Budylin
- Medical Research and Education Center, M. V. Lomonosov Moscow State University, Moscow, Russia
- Institute of Spectroscopy of the Russian Academy of Sciences, Moscow, Russia
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
| | - Denis A Davydov
- Medical Research and Education Center, M. V. Lomonosov Moscow State University, Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Nadezhda V Zlobina
- Medical Research and Education Center, M. V. Lomonosov Moscow State University, Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Alexey V Baev
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | | | - Boris P Yakimov
- Medical Research and Education Center, M. V. Lomonosov Moscow State University, Moscow, Russia
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Evgeny A Shirshin
- Medical Research and Education Center, M. V. Lomonosov Moscow State University, Moscow, Russia
- World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
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7
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Bogomolov A. Developing Multisensory Approach to the Optical Spectral Analysis. SENSORS (BASEL, SWITZERLAND) 2021; 21:3541. [PMID: 34069638 PMCID: PMC8160663 DOI: 10.3390/s21103541] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/10/2021] [Accepted: 05/13/2021] [Indexed: 12/12/2022]
Abstract
This article presents an overview of research aimed at developing a scientific approach to creating multisensor optical systems for chemical analysis. The review is mainly based on the author's works accomplished over the recent 10 years at Samara State Technical University with broad international cooperation. It consists of an introduction and five sections that describe state of the art in the field of optical sensing, suggested development methodology of optical multisensor systems, related aspects of experimental design and process analytical technology followed by a collection of practical examples in different application fields: food and pharmaceutical production, medical diagnostics, and ecological monitoring. The conclusion summarizes trends and prospects of the multisensory approach to optical spectral analysis.
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Affiliation(s)
- Andrey Bogomolov
- Laboratory of Multivariate Analysis and Global Modeling, Samara State Technical University, 244 Molodogvardeyskaya Str., 443100 Samara, Russia
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8
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Takamatsu T, Kitagawa Y, Akimoto K, Iwanami R, Endo Y, Takashima K, Okubo K, Umezawa M, Kuwata T, Sato D, Kadota T, Mitsui T, Ikematsu H, Yokota H, Soga K, Takemura H. Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging. SENSORS (BASEL, SWITZERLAND) 2021; 21:2649. [PMID: 33918935 PMCID: PMC8069262 DOI: 10.3390/s21082649] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/01/2021] [Accepted: 04/06/2021] [Indexed: 01/17/2023]
Abstract
In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000-1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues.
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Affiliation(s)
- Toshihiro Takamatsu
- Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Chiba 277-8577, Japan;
- Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.S.); (H.T.)
| | - Yuichi Kitagawa
- Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan; (Y.K.); (R.I.); (K.O.); (M.U.)
| | - Kohei Akimoto
- Department of Mechanical Engineering, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.A.); (Y.E.)
| | - Ren Iwanami
- Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan; (Y.K.); (R.I.); (K.O.); (M.U.)
| | - Yuto Endo
- Department of Mechanical Engineering, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.A.); (Y.E.)
| | - Kenji Takashima
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan; (K.T.); (D.S.); (T.K.); (T.M.)
| | - Kyohei Okubo
- Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan; (Y.K.); (R.I.); (K.O.); (M.U.)
| | - Masakazu Umezawa
- Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan; (Y.K.); (R.I.); (K.O.); (M.U.)
| | - Takeshi Kuwata
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan;
| | - Daiki Sato
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan; (K.T.); (D.S.); (T.K.); (T.M.)
| | - Tomohiro Kadota
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan; (K.T.); (D.S.); (T.K.); (T.M.)
| | - Tomohiro Mitsui
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan; (K.T.); (D.S.); (T.K.); (T.M.)
| | - Hiroaki Ikematsu
- Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Kashiwa, Chiba 277-8577, Japan;
- Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Kashiwa, Chiba 277-8577, Japan; (K.T.); (D.S.); (T.K.); (T.M.)
| | - Hideo Yokota
- RIKEN Center for Advanced Photonics, Wako, Saitama 351-0198, Japan;
| | - Kohei Soga
- Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.S.); (H.T.)
- Department of Materials Science and Technology, Tokyo University of Science, Katsushika, Tokyo 162-8601, Japan; (Y.K.); (R.I.); (K.O.); (M.U.)
| | - Hiroshi Takemura
- Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.S.); (H.T.)
- Department of Mechanical Engineering, Tokyo University of Science, Noda, Chiba 278-8510, Japan; (K.A.); (Y.E.)
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Bogomolov A, Sakharova T, Usenov I, Mizaikoff C, Belikova V, Perevoschikov S, Artyushenko V, Bibikova O. Fiber Probe for Simultaneous Mid-Infrared and Fluorescence Spectroscopic Analysis. Anal Chem 2021; 93:6013-6018. [PMID: 33821623 DOI: 10.1021/acs.analchem.1c00080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A multispectral fiber optic probe has been developed that enables simultaneous analysis of various liquid and solid samples using attenuated total reflection mid-infrared spectroscopy and fluorimetry. The probe design was optimized using ray-tracing simulation of the light propagation. Technical evaluation of the probe has confirmed its output signal quality that was comparable to that of respective probes for single methods. The capability of the probe to deliver complementary chemical information from the same measurement point has been illustrated using model samples of biological tissue. Qualitative analysis of the biological tissue is one of the most important applications of the developed multispectral probe.
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Affiliation(s)
- Andrey Bogomolov
- Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia
| | | | - Iskander Usenov
- art photonics GmbH, Rudower Chaussee 46, Berlin 12489, Germany.,Technische Universität Berlin, Institute of Optics and Atomic Physics, Straße des 17, Juni 135, 10623 Berlin, Germany
| | | | - Valeria Belikova
- Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia
| | - Stanislav Perevoschikov
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Building 1, Moscow 121205, Russia
| | | | - Olga Bibikova
- art photonics GmbH, Rudower Chaussee 46, Berlin 12489, Germany
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Spatially-Resolved Multiply-Excited Autofluorescence and Diffuse Reflectance Spectroscopy: SpectroLive Medical Device for Skin In Vivo Optical Biopsy. ELECTRONICS 2021. [DOI: 10.3390/electronics10030243] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
This contribution presents the development of an optical spectroscopy device, called SpectroLive, that allows spatially-resolved multiply-excited autofluorescence and diffuse reflectance measurements. Besides describing the device, this study aims at presenting the metrological and safety regulation validations performed towards its aimed application to skin carcinoma in vivo diagnosis. This device is made of six light sources and four spectrometers for detection of the back-scattered intensity spectra collected through an optical probe (made of several optical fibers) featuring four source-to-detector separations (from 400 to 1000 µm). In order to be allowed by the French authorities to be evaluated in clinics, the SpectroLive device was successfully checked for electromagnetic compatibility and electrical and photobiological safety. In order to process spectra, spectral correction and metrological calibration were implemented in the post-processing software. Finally, we characterized the device’s sensitivity to autofluorescence detection: excitation light irradiance at the optical probe tip in contact with skin surface ranges from 2 to 11 W/m², depending on the light source. Such irradiances combined to sensitive detectors allow the device to acquire a full spectroscopic sequence within 6 s which is a short enough duration to be compatible with optical-guided surgery. All these results about sensitivity and safety make the SpectroLive device mature enough to be evaluated through a clinical trial that aims at evaluating its diagnostic accuracy for skin carcinoma diagnosis.
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Nogueira MS, Maryam S, Amissah M, Lu H, Lynch N, Killeen S, O’Riordain M, Andersson-Engels S. Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection. Sci Rep 2021; 11:798. [PMID: 33436684 PMCID: PMC7804163 DOI: 10.1038/s41598-020-79517-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 12/04/2020] [Indexed: 01/29/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic capabilities of diffuse reflectance spectroscopy (DRS) for CRC detection by building 6 classification models based on support vector machines (SVMs). Our dataset consists of 2889 diffuse reflectance spectra collected from freshly excised ex vivo tissues of 47 patients over wavelengths ranging from 350 and 1919 nm with source-detector distances of 630-µm and 2500-µm to probe different depths. Quadratic SVMs were used and performance was evaluated using twofold cross-validation on 10 iterations of randomized training and test sets. We achieved (93.5 ± 2.4)% sensitivity, (94.0 ± 1.7)% specificity AUC by probing the superficial colorectal tissue and (96.1 ± 1.8)% sensitivity, (95.7 ± 0.6)% specificity AUC by sampling deeper tissue layers. To the best of our knowledge, this is the first DRS study to investigate the potential of probing deeper tissue layers using larger SDD probes for CRC detection in the luminal wall. The data analysis showed that using a broader spectrum and longer near-infrared wavelengths can improve the diagnostic accuracy of CRC as well as probing deeper tissue layers.
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Affiliation(s)
- Marcelo Saito Nogueira
- grid.7872.a0000000123318773Tyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland ,grid.7872.a0000000123318773Department of Physics, University College Cork, College Road, Cork, Ireland
| | - Siddra Maryam
- grid.7872.a0000000123318773Tyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland ,grid.7872.a0000000123318773Department of Physics, University College Cork, College Road, Cork, Ireland
| | - Michael Amissah
- grid.7872.a0000000123318773Tyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland ,grid.7872.a0000000123318773Department of Physics, University College Cork, College Road, Cork, Ireland
| | - Huihui Lu
- grid.7872.a0000000123318773Tyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland
| | - Noel Lynch
- grid.411785.e0000 0004 0575 9497Department of Surgery, Mercy University Hospital, Cork, Ireland
| | - Shane Killeen
- grid.411785.e0000 0004 0575 9497Department of Surgery, Mercy University Hospital, Cork, Ireland
| | - Micheal O’Riordain
- grid.411785.e0000 0004 0575 9497Department of Surgery, Mercy University Hospital, Cork, Ireland
| | - Stefan Andersson-Engels
- grid.7872.a0000000123318773Tyndall National Institute, Lee Maltings, Dyke Parade, Cork, Ireland ,grid.7872.a0000000123318773Department of Physics, University College Cork, College Road, Cork, Ireland
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12
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Synergy Effect of Combined Near and Mid-Infrared Fibre Spectroscopy for Diagnostics of Abdominal Cancer. SENSORS 2020; 20:s20226706. [PMID: 33238646 PMCID: PMC7700420 DOI: 10.3390/s20226706] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/15/2020] [Accepted: 11/19/2020] [Indexed: 12/12/2022]
Abstract
Cancers of the abdominal cavity comprise one of the most prevalent forms of cancers, with the highest contribution from colon and rectal cancers (12% of the human population), followed by stomach cancers (4%). Surgery, as the preferred choice of treatment, includes the selection of adequate resection margins to avoid local recurrences due to minimal residual disease. The presence of functionally vital structures can complicate the choice of resection margins. Spectral analysis of tissue samples in combination with chemometric models constitutes a promising approach for more efficient and precise tumour margin identification. Additionally, this technique provides a real-time tumour identification approach not only for intraoperative application but also during endoscopic diagnosis of tumours in hollow organs. The combination of near-infrared and mid-infrared spectroscopy has advantages compared to individual methods for the clinical implementation of this technique as a diagnostic tool.
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Zherebtsov E, Zajnulina M, Kandurova K, Potapova E, Dremin V, Mamoshin A, Sokolovski S, Dunaev A, Rafailov EU. Machine Learning Aided Photonic Diagnostic System for Minimally Invasive Optically Guided Surgery in the Hepatoduodenal Area. Diagnostics (Basel) 2020; 10:E873. [PMID: 33121013 PMCID: PMC7693603 DOI: 10.3390/diagnostics10110873] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/19/2020] [Accepted: 10/24/2020] [Indexed: 12/29/2022] Open
Abstract
Abdominal cancer is a widely prevalent group of tumours with a high level of mortality if diagnosed at a late stage. Although the cancer death rates have in general declined over the past few decades, the mortality from tumours in the hepatoduodenal area has significantly increased in recent years. The broader use of minimal access surgery (MAS) for diagnostics and treatment can significantly improve the survival rate and quality of life of patients after surgery. This work aims to develop and characterise an appropriate technical implementation for tissue endogenous fluorescence (TEF) and assess the efficiency of machine learning methods for the real-time diagnosis of tumours in the hepatoduodenal area. In this paper, we present the results of the machine learning approach applied to the optically guided MAS. We have elaborated tissue fluorescence approach with a fibre-optic probe to record the TEF and blood perfusion parameters during MAS in patients with cancers in the hepatoduodenal area. The measurements from the laser Doppler flowmetry (LDF) channel were used as a sensor of the tissue vitality to reduce variability in TEF data. Also, we evaluated how the blood perfusion oscillations are changed in the tumour tissue. The evaluated amplitudes of the cardiac (0.6-1.6 Hz) and respiratory (0.2-0.6 Hz) oscillations was significantly higher in intact tissues (p < 0.001) compared to the cancerous ones, while the myogenic (0.2-0.06 Hz) oscillation did not demonstrate any statistically significant difference. Our results demonstrate that a fibre-optic TEF probe accompanied with ML algorithms such as k-Nearest Neighbours or AdaBoost is highly promising for the real-time in situ differentiation between cancerous and healthy tissues by detecting the information about the tissue type that is encoded in the fluorescence spectrum. Also, we show that the detection can be supplemented and enhanced by parallel collection and classification of blood perfusion oscillations.
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Affiliation(s)
- Evgeny Zherebtsov
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Optoelectronics and Measurement Techniques Unit, 90570 Oulu, Finland
| | - Marina Zajnulina
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Ksenia Kandurova
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Elena Potapova
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Viktor Dremin
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Andrian Mamoshin
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
- Department of X-ray Surgical Methods of Diagnosis and Treatment, Orel Regional Clinical Hospital, 302028 Orel, Russia
| | - Sergei Sokolovski
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
| | - Andrey Dunaev
- Research and Development Center of Biomedical Photonics, Orel State University, 302026 Orel, Russia; (K.K.); (E.P.); (V.D.); (A.M.); (A.D.)
| | - Edik U. Rafailov
- Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, UK; (M.Z.); (S.S.); (E.U.R.)
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Ivanov D, Dremin V, Bykov A, Borisova E, Genova T, Popov A, Ossikovski R, Novikova T, Meglinski I. Colon cancer detection by using Poincaré sphere and 2D polarimetric mapping of ex vivo colon samples. JOURNAL OF BIOPHOTONICS 2020; 13:e202000082. [PMID: 32390327 DOI: 10.1002/jbio.202000082] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/21/2020] [Accepted: 05/06/2020] [Indexed: 05/02/2023]
Abstract
This work is dedicated to the diagnosis and grading of colon cancer by a combined use of Poincaré sphere and 2D Stokes vector polarimetry mapping approaches. The major challenge consists in exploring the applicability of polarized light for noninvasive screening of the histological abnormalities within the samples of biological tissues. Experimental studies were conducted in ex vivo colon sample, excised after surgical procedure for colon tumor removal of G2-adenocarcinoma lesion. Polarimetric measurements in linear and circular regime were carried via personally developed polarimetric, optical set-up, using supercontinuous fiber laser with irradiation fixed at 635 nm. We apply the Poincaré sphere and two-dimensional Stokes vector scanning approach for screening the corresponding tissue samples. A comparison between linear and circular polarization states is made both for quantitative and qualitative evaluations. It is shown that circular polarization has better diagnostic capabilities than linear polarization, with higher dynamic ranges of the polarimetric parameters and better values of the diagnostic quantities. In addition to the standard polarimetry parameters, utilized as essential diagnostic markers, we apply statistical analysis to obtain more detailed information in frame of the applied diagnostic approach.
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Affiliation(s)
- Deyan Ivanov
- Institute of Electronics, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Viktor Dremin
- Research & Development Center of Biomedical Photonics, Orel State University, Orel, Russia
- Optoelectronics and Measurement Techniques Unit, University of Oulu, Oulu, Finland
| | - Alexander Bykov
- Optoelectronics and Measurement Techniques Unit, University of Oulu, Oulu, Finland
| | - Ekaterina Borisova
- Institute of Electronics, Bulgarian Academy of Sciences, Sofia, Bulgaria
- Biology Faculty, Saratov State University, Saratov, Russia
| | - Tsanislava Genova
- Institute of Electronics, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Alexey Popov
- VTT Technical Research Centre of Finland, Oulu, Finland
| | - Razvigor Ossikovski
- LPICM, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
| | - Tatiana Novikova
- LPICM, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France
| | - Igor Meglinski
- Optoelectronics and Measurement Techniques Unit, University of Oulu, Oulu, Finland
- Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk, Russia
- Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University-MEPhI, Moscow, Russia
- School of Engineering and Applied Science, Aston University, Birmingham, UK
- School of Life and Health Sciences, Aston University, Birmingham, UK
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