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Campbell JM, Gosnell M, Agha A, Handley S, Knab A, Anwer AG, Bhargava A, Goldys EM. Label-Free Assessment of Key Biological Autofluorophores: Material Characteristics and Opportunities for Clinical Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2403761. [PMID: 38775184 DOI: 10.1002/adma.202403761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/04/2024] [Indexed: 06/13/2024]
Abstract
Autofluorophores are endogenous fluorescent compounds that naturally occur in the intra and extracellular spaces of all tissues and organs. Most have vital biological functions - like the metabolic cofactors NAD(P)H and FAD+, as well as the structural protein collagen. Others are considered to be waste products - like lipofuscin and advanced glycation end products - which accumulate with age and are associated with cellular dysfunction. Due to their natural fluorescence, these materials have great utility for enabling non-invasive, label-free assays with direct ties to biological function. Numerous technologies, with different advantages and drawbacks, are applied to their assessment, including fluorescence lifetime imaging microscopy, hyperspectral microscopy, and flow cytometry. Here, the applications of label-free autofluorophore assessment are reviewed for clinical and health-research applications, with specific attention to biomaterials, disease detection, surgical guidance, treatment monitoring, and tissue assessment - fields that greatly benefit from non-invasive methodologies capable of continuous, in vivo characterization.
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Affiliation(s)
- Jared M Campbell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | | | - Adnan Agha
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Shannon Handley
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Aline Knab
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ayad G Anwer
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Akanksha Bhargava
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
| | - Ewa M Goldys
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2033, Australia
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Tolstik E, Lehnart SE, Soeller C, Lorenz K, Sacconi L. Cardiac multiscale bioimaging: from nano- through micro- to mesoscales. Trends Biotechnol 2024; 42:212-227. [PMID: 37806897 DOI: 10.1016/j.tibtech.2023.08.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/23/2023] [Accepted: 08/24/2023] [Indexed: 10/10/2023]
Abstract
Cardiac multiscale bioimaging is an emerging field that aims to provide a comprehensive understanding of the heart and its functions at various levels, from the molecular to the entire organ. It combines both physiologically and clinically relevant dimensions: from nano- and micrometer resolution imaging based on vibrational spectroscopy and high-resolution microscopy to assess molecular processes in cardiac cells and myocardial tissue, to mesoscale structural investigations to improve the understanding of cardiac (patho)physiology. Tailored super-resolution deep microscopy with advanced proteomic methods and hands-on experience are thus strategically combined to improve the quality of cardiovascular research and support future medical decision-making by gaining additional biomolecular information for translational and diagnostic applications.
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Affiliation(s)
- Elen Tolstik
- Department of Cardiovascular Pharmacology, Translational Research, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. Bunsen-Kirchhoff-Strasse 11, 44139 Dortmund, Germany.
| | - Stephan E Lehnart
- Department of Cardiology and Pneumology, Cellular Biophysics and Translational Cardiology Section, Heart Research Center Göttingen, University Medical Center Göttingen, Georg-August University Göttingen, Robert-Koch-Strasse 42a, 37075 Göttingen, Germany; Cluster of Excellence Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (MBExC2067), University of Göttingen, 37073 Göttingen, Germany; Collaborative Research Center SFB1190 Compartmental Gates and Contact Sites in Cells, University of Göttingen, 37073 Göttingen, Germany
| | - Christian Soeller
- Department of Physiology, University of Bern, Bühlplatz 5, 3012 Bern, Switzerland
| | - Kristina Lorenz
- Department of Cardiovascular Pharmacology, Translational Research, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. Bunsen-Kirchhoff-Strasse 11, 44139 Dortmund, Germany; Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Strasse 9, 97078 Würzburg, Germany
| | - Leonardo Sacconi
- Institute of Clinical Physiology, National Research Council, Rome, Italy; Institute for Experimental Cardiovascular Medicine, University Freiburg, Elsässer Strasse 2q, 79110 Freiburg, Germany.
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Campbell JM, Habibalahi A, Handley S, Agha A, Mahbub SB, Anwer AG, Goldys EM. Emerging clinical applications in oncology for non-invasive multi- and hyperspectral imaging of cell and tissue autofluorescence. JOURNAL OF BIOPHOTONICS 2023; 16:e202300105. [PMID: 37272291 DOI: 10.1002/jbio.202300105] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/02/2023] [Accepted: 05/16/2023] [Indexed: 06/06/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence is an emerging technology in which fluorescence imaging is applied to biological materials across multiple spectral channels. This produces a stack of images where each matched pixel contains information about the sample's spectral properties at that location. This allows precise collection of molecularly specific data from a broad range of native fluorophores. Importantly, complex information, directly reflective of biological status, is collected without staining and tissues can be characterised in situ, without biopsy. For oncology, this can spare the collection of biopsies from sensitive regions and enable accurate tumour mapping. For in vivo tumour analysis, the greatest focus has been on oral cancer, whereas for ex vivo assessment head-and-neck cancers along with colon cancer have been the most studied, followed by oral and eye cancer. This review details the scope and progress of research undertaken towards clinical translation in oncology.
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Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, The University of Adelaide, Adelaide, South Australia, Australia
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Campbell JM, Mahbub SB, Habibalahi A, Agha A, Handley S, Anwer AG, Goldys EM. Clinical applications of non-invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology. JOURNAL OF BIOPHOTONICS 2023; 16:e202200264. [PMID: 36602432 DOI: 10.1002/jbio.202200264] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell-native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non-invasive, non-destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications-including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.
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Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
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Park SY, Singh-Moon R, Yang H, Hendon C. Monitoring of irrigated lesion formation with single fiber based multispectral system using machine learning. JOURNAL OF BIOPHOTONICS 2022; 15:e202100374. [PMID: 35666015 PMCID: PMC9452461 DOI: 10.1002/jbio.202100374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 05/15/2022] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
In radiofrequency ablation (RFA) treatment of cardiac arrhythmias, intraprocedural assessment of treatment efficacy relies on indirect measures of adequate tissue destruction. Direct sensing of diffuse reflectance spectral changes at the ablation site using optically integrated RFA catheters has been shown to enable accurate prediction of lesion dimensions, ex vivo. Challenges of optical guidance can be due to obtaining reliable measurements under various catheter-tissue contact orientations. In this work, addressed this limitation by assessing the feasibility of monitoring lesion progression using single-fiber reflectance spectroscopy (SFRS). A total of 110 endocardial lesions of various sizes were generated in freshly excised swine right ventricular tissue using a custom-built, irrigated SFRS-RFA catheter. Models were developed for assessing catheter-tissue contact, the presence of nontransmural or transmural lesions and lesion depth percentage. These results support the use of SFRS-based catheters for irrigated lesion assessment and motivate further exploration of using multi-SFRS catheters for omnidirectionality.
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Affiliation(s)
- Soo Young Park
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027
| | - Rajinder Singh-Moon
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027
| | - Haiqiu Yang
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027
| | - Christine Hendon
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027
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Davey CJ, Vasiljevski ER, O’Donohue AK, Fleming SC, Schindeler A. Analysis of muscle tissue in vivo using fiber-optic autofluorescence and diffuse reflectance spectroscopy. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-210110RR. [PMID: 34935315 PMCID: PMC8692235 DOI: 10.1117/1.jbo.26.12.125001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 11/16/2021] [Indexed: 06/14/2023]
Abstract
SIGNIFICANCE Current methods for analyzing pathological muscle tissue are time consuming and rarely quantitative, and they involve invasive biopsies. Faster and less invasive diagnosis of muscle disease may be achievable using marker-free in vivo optical sensing methods. AIM It was speculated that changes in the biochemical composition and structure of muscle associated with pathology could be measured quantitatively using visible wavelength optical spectroscopy techniques enabling automated classification. APPROACH A fiber-optic autofluorescence (AF) and diffuse reflectance (DR) spectroscopy device was manufactured. The device and data processing techniques based on principal component analysis were validated using in situ measurements on healthy skeletal and cardiac muscle. These methods were then applied to two mouse models of genetic muscle disease: a type 1 neurofibromatosis (NF1) limb-mesenchyme knockout (Nf1Prx1 - / - ) and a muscular dystrophy mouse (mdx). RESULTS Healthy skeletal and cardiac muscle specimens were separable using AF and DR with receiver operator curve areas (ROC-AUC) of >0.79. AF and DR analyses showed optically separable changes in Nf1Prx1 - / - quadriceps muscle (ROC-AUC >0.97) with no differences detected in the heart (ROC-AUC <0.67), which does not undergo gene deletion in this model. Changes in AF spectra in mdx muscle were seen between the 3 week and 10 week time points (ROC-AUC = 0.96) and were not seen in the wild-type controls (ROC-AUC = 0.58). CONCLUSION These findings support the utility of in vivo fiber-optic AF and DR spectroscopy for the assessment of muscle tissue. This report highlights that there is considerable scope to develop this marker-free optical technology for preclinical muscle research and for diagnostic assessment of clinical myopathies and dystrophies.
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Affiliation(s)
- Christopher J. Davey
- University of Sydney, Institute of Photonics and Optical Science, School of Physics, Sydney, New South Wales, Australia
| | - Emily R. Vasiljevski
- The Children’s Hospital at Westmead, Bioengineering and Molecular Medicine Laboratory, Westmead, New South Wales, Australia
- University of Sydney, Sydney Medical School, Discipline of Child and Adolescent Health, Sydney, New South Wales, Australia
| | - Alexandra K. O’Donohue
- The Children’s Hospital at Westmead, Bioengineering and Molecular Medicine Laboratory, Westmead, New South Wales, Australia
- University of Sydney, Sydney Medical School, Discipline of Child and Adolescent Health, Sydney, New South Wales, Australia
| | - Simon C. Fleming
- University of Sydney, Institute of Photonics and Optical Science, School of Physics, Sydney, New South Wales, Australia
| | - Aaron Schindeler
- The Children’s Hospital at Westmead, Bioengineering and Molecular Medicine Laboratory, Westmead, New South Wales, Australia
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7
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Anjewierden S, Wazni OM, Vince DG, Kanj M, Saliba W, Fedewa RJ. Cyclic Variation of Spectral Parameters for the Differentiation of Atrial Myocardium Before and Immediately Following Radiofrequency Ablation. ULTRASONIC IMAGING 2021; 43:299-307. [PMID: 34510970 DOI: 10.1177/01617346211046314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Radiofrequency ablation (RFA) is a common treatment of atrial fibrillation. However, current treatment is associated with a greater than 20% recurrence rate, in part due to inadequate monitoring of tissue viability during ablation. Spectral parameters, in particular cyclic variation of integrated backscatter (CVIB), have shown promise as early indicators of myocardial recovery from ischemia. Our aim was to demonstrate the use of spectral parameters to differentiate atrial myocardium before and after radiofrequency ablation. An AcuNav 10 F catheter was used to collect radiofrequency signals from the posterior wall of the left atrium of patients before and immediately after RFA for AF. The normalized power spectrum was obtained and three spectral parameters (integrated backscatter [IB], slope, and intercept) were extracted across two continuous heart cycles. Parameters were gated for ventricular end-diastole and compared before and after ablation. Additionally, the cyclic variation of each of these three parameters was generated as an average of the variation across the two recorded heart cycles. Data from 14 patients before and after ablation demonstrated a significant difference in the magnitude of the cyclic variation of integrated backscatter (9.0 vs. 6.0 dB, p < .001) and cyclic variation of the intercept (14.0 vs. 11.5 dB, p = .04). No significant difference was noted in the magnitude of the cyclic variation of the slope. Among spectral parameters gated for end-diastole, significant differences were noted in the slope (-4.39 vs. -3.73 dB/MHz, p = .002) and intercept (16.8 vs. 11.9 dB, p = .002). No significant difference was noted in the integrated backscatter. Spectral parameters are able to differentiate atrial myocardium before and immediately following ablation and may be useful in monitoring atrial ablations.
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Affiliation(s)
- Scott Anjewierden
- Community Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Oussama M Wazni
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - D Geoffrey Vince
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA
| | - Mohamed Kanj
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Walid Saliba
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Russell J Fedewa
- Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA
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Park SY, Singh-Moon R, Yang H, Saluja D, Hendon C. Quantification of irrigated lesion morphology using near-infrared spectroscopy. Sci Rep 2021; 11:20160. [PMID: 34635764 PMCID: PMC8505541 DOI: 10.1038/s41598-021-99725-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 09/29/2021] [Indexed: 12/20/2022] Open
Abstract
There are currently limited means by which lesion formation can be confirmed during radiofrequency ablation procedures. The purpose of this study was to evaluate the use of NIRS-integrated RFA catheters for monitoring irrigated lesion progression, ex vivo and in vivo. Open-irrigated NIRS-ablation catheters with optical fibers were fabricated to sample tissue diffuse reflectance. Spectra from 44 irrigated lesions and 44 non-lesion sites from ex vivo swine hearts (n = 15) were used to train and evaluate a predictive model for lesion dimensions based on key spectral features. Additional studies were performed in diluted blood to assess NIRS signatures of catheter-tissue contact status. Finally, the potential of NIRS-RFA catheters for guiding lesion delivery was evaluated in a set of in vivo pilot studies conducted in healthy pigs (n = 4). Model predictions for lesion depth (R = 0.968), width (R = 0.971), and depth percentage (R = 0.924) correlated well with measured lesion dimensions. In vivo deployment in preliminary trials showed robust translational consistency of contact discrimination (P < 0.0001) and lesion depth parameters (< 3% error). NIRS empowered catheters are well suited for monitoring myocardial response to RF ablation and may provide useful intraprocedural feedback for optimizing treatment efficacy alongside current practices.
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Affiliation(s)
- Soo Young Park
- Department of Electrical Engineering, Columbia University, 500 West 120th Street, New York, NY, 10027, USA
| | - Rajinder Singh-Moon
- Department of Electrical Engineering, Columbia University, 500 West 120th Street, New York, NY, 10027, USA
| | - Haiqiu Yang
- Department of Electrical Engineering, Columbia University, 500 West 120th Street, New York, NY, 10027, USA
| | - Deepak Saluja
- Department of Medicine (Cardiology), Columbia University College of Physicians and Surgeons, 630 W. 168th St, New York, NY, 10032, USA
| | - Christine Hendon
- Department of Electrical Engineering, Columbia University, 500 West 120th Street, New York, NY, 10027, USA.
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De Landro M, Espíritu García-Molina I, Barberio M, Felli E, Agnus V, Pizzicannella M, Diana M, Zappa E, Saccomandi P. Hyperspectral Imagery for Assessing Laser-Induced Thermal State Change in Liver. SENSORS 2021; 21:s21020643. [PMID: 33477656 PMCID: PMC7831494 DOI: 10.3390/s21020643] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/05/2021] [Accepted: 01/13/2021] [Indexed: 12/16/2022]
Abstract
This work presents the potential of hyperspectral imaging (HSI) to monitor the thermal outcome of laser ablation therapy used for minimally invasive tumor removal. Our main goal is the establishment of indicators of the thermal damage of living tissues, which can be used to assess the effect of the procedure. These indicators rely on the spectral variation of temperature-dependent tissue chromophores, i.e., oxyhemoglobin, deoxyhemoglobin, methemoglobin, and water. Laser treatment was performed at specific temperature thresholds (from 60 to 110 °C) on in-vivo animal liver and was assessed with a hyperspectral camera (500-995 nm) during and after the treatment. The indicators were extracted from the hyperspectral images after the following processing steps: the breathing motion compensation and the spectral and spatial filtering, the selection of spectral bands corresponding to specific tissue chromophores, and the analysis of the areas under the curves for each spectral band. Results show that properly combining spectral information related to deoxyhemoglobin, methemoglobin, lipids, and water allows for the segmenting of different zones of the laser-induced thermal damage. This preliminary investigation provides indicators for describing the thermal state of the liver, which can be employed in the future as clinical endpoints of the procedure outcome.
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Affiliation(s)
- Martina De Landro
- Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy; (M.D.L.); (I.E.G.-M.); (E.Z.)
| | | | - Manuel Barberio
- IHU-Strasbourg, 67000 Strasbourg, France; (M.B.); (E.F.); (V.A.); (M.P.); (M.D.)
- Department of General Surgery, Ospedale Card. G. Panico, 73039 Tricase, Italy
| | - Eric Felli
- IHU-Strasbourg, 67000 Strasbourg, France; (M.B.); (E.F.); (V.A.); (M.P.); (M.D.)
| | - Vincent Agnus
- IHU-Strasbourg, 67000 Strasbourg, France; (M.B.); (E.F.); (V.A.); (M.P.); (M.D.)
| | | | - Michele Diana
- IHU-Strasbourg, 67000 Strasbourg, France; (M.B.); (E.F.); (V.A.); (M.P.); (M.D.)
- Research Institute against Cancer of the Digestive System IRCAD, 67091 Strasbourg, France
- ICube Laboratory, Photonics Instrumentation for Health, 67400 Strasbourg, France
| | - Emanuele Zappa
- Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy; (M.D.L.); (I.E.G.-M.); (E.Z.)
| | - Paola Saccomandi
- Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy; (M.D.L.); (I.E.G.-M.); (E.Z.)
- Correspondence:
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Armstrong K, Larson C, Asfour H, Ransbury T, Sarvazyan N. A Percutaneous Catheter for In Vivo Hyperspectral Imaging of Cardiac Tissue: Challenges, Solutions and Future Directions. Cardiovasc Eng Technol 2020; 11:560-575. [PMID: 32666326 PMCID: PMC7530025 DOI: 10.1007/s13239-020-00476-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 06/30/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE Multiple studies have shown that spectral analysis of tissue autofluorescence can be used as a live indicator for various pathophysiological states of cardiac tissue, including ischemia, ablation-induced damage, or scar formation. Yet today there are no percutaneous devices that can detect autofluorescence signals from inside a beating heart. Our aim was to develop a prototype catheter to demonstrate the feasibility of doing so. METHODS AND RESULTS Here we summarize technical solutions leading to the development of a percutaneous catheter capable of multispectral imaging of intracardiac surfaces. The process included several iterations of light sources, optical filtering, and image acquisition techniques. The developed system included a compliant balloon, 355 nm laser irradiance, a high-sensitivity CCD, bandpass filtering, and image acquisition synchronized with the cardiac cycle. It enabled us to capture autofluorescence images from multiple spectral bands within the visible range while illuminating the endocardial surface with ultraviolet light. Principal component analysis and other spectral unmixing post-processing algorithms were then used to reveal target tissue. CONCLUSION Based on the success of our prototype system, we are confident that the development of ever more sensitive cameras, recent advances in tunable filters, fiber bundles, and other optical and computational components makes it possible to create percutaneous catheters capable of acquiring hyper or multispectral hypercubes, including those based on autofluorescence, in real-time. This opens the door for widespread use of this methodology for high-resolution intraoperative imaging of internal tissues and organs-including cardiovascular applications.
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Affiliation(s)
- Kenneth Armstrong
- Nocturnal Product Development, LLC, 8128 Renaissance Pkwy #210, Durham, NC, 27713, USA.
| | - Cinnamon Larson
- Nocturnal Product Development, LLC, 8128 Renaissance Pkwy #210, Durham, NC, 27713, USA
| | - Huda Asfour
- Department of Pharmacology and Physiology, The George Washington University, 2300 Eye Street NW, Washington, DC, 20037, USA
| | - Terry Ransbury
- LuxMed Systems, Inc, 124 Country Drive, Weston, MA, 02493, USA
| | - Narine Sarvazyan
- Department of Pharmacology and Physiology, The George Washington University, 2300 Eye Street NW, Washington, DC, 20037, USA.
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11
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Asfour H, Otridge J, Thomasian R, Larson C, Sarvazyan N. Autofluorescence properties of balloon polymers used in medical applications. JOURNAL OF BIOMEDICAL OPTICS 2020; 25:JBO-200216R. [PMID: 33084257 PMCID: PMC7575097 DOI: 10.1117/1.jbo.25.10.106004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
SIGNIFICANCE For use in medical balloons and related clinical applications, polymers are usually designed for transparency under illumination with white-light sources. However, when illuminated with ultraviolet (UV) or blue light, most of these materials autofluoresce in the visible range, which can be a concern for modalities that rely on tissue autofluorescence for diagnostic or therapeutic purposes. AIM A search for published information on spectral properties of polymers that can be used for medical balloon manufacturing revealed a scarcity of published information on this subject. The aim of these studies was to address this gap. APPROACH The autofluorescence properties of polymers used in medical balloon manufacturing were examined for their suitability for hyperspectral imaging and related applications. Excitation-emission matrices of different balloon materials were acquired within the 320- to 620-nm spectral range. In parallel, autofluorescence profiles from the 420- to 620-nm range were extracted from hyperspectral datasets of the same samples illuminated with UV light. The list of tested polymers included polyurethanes, nylon, polyethylene terephthalate (PET), polyether block amide (PEBAX), vulcanized silicone, thermoplastic elastomers with and without talc, and cyclic olefin copolymers, known by their trade name TOPAS. RESULTS Each type of polymer exhibited a specific pattern of autofluorescence. Polyurethanes, PET, and thermoplastic elastomers containing talc had the highest autofluorescence values, while sheets made of nylon, PEBAX, and TOPAS exhibited negligible autofluorescence. Hyperspectral imaging was used to illustrate how the choice of specific balloon material can impact the ability of principal component analysis to reveal the ablated cardiac tissue. CONCLUSIONS The data revealed significant differences between autofluorescence profiles of the polymers and pointed to the most promising balloon materials for clinical implementation of approaches that depend on tissue autofluorescence.
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Affiliation(s)
- Huda Asfour
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Jeremy Otridge
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Robert Thomasian
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Cinnamon Larson
- Nocturnal Product Development, LLC, Durham, North Carolina, United States
| | - Narine Sarvazyan
- The George Washington University, Department of Pharmacology and Physiology, Washington, DC, United States
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12
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Key factors behind autofluorescence changes caused by ablation of cardiac tissue. Sci Rep 2020; 10:15369. [PMID: 32958843 PMCID: PMC7506017 DOI: 10.1038/s41598-020-72351-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 08/25/2020] [Indexed: 11/30/2022] Open
Abstract
Radiofrequency ablation is a commonly used clinical procedure that destroys arrhythmogenic sources in patients suffering from atrial fibrillation and other types of cardiac arrhythmias. To improve the success of this procedure, new approaches for real-time visualization of ablation sites are being developed. One of these promising methods is hyperspectral imaging, an approach that detects lesions based on changes in the endogenous tissue autofluorescence profile. To facilitate the clinical implementation of this approach, we examined the key variables that can influence ablation-induced spectral changes, including the drop in myocardial NADH levels, the release of lipofuscin-like pigments, and the increase in diffuse reflectance of the cardiac muscle beneath the endocardial layer. Insights from these experiments suggested simpler algorithms that can be used to acquire and post-process the spectral information required to reveal the lesion sites. Our study is relevant to a growing number of multilayered clinical targets to which spectral approaches are being applied.
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Park SY, Singh-Moon RP, Wan EY, Hendon CP. Towards real-time multispectral endoscopic imaging for cardiac lesion quality assessment. BIOMEDICAL OPTICS EXPRESS 2019; 10:2829-2846. [PMID: 31259054 PMCID: PMC6583339 DOI: 10.1364/boe.10.002829] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/08/2019] [Accepted: 05/08/2019] [Indexed: 05/08/2023]
Abstract
Atrial fibrillation (Afib) can lead to life threatening conditions such as heart failure and stroke. During Afib treatment, clinicians aim to repress unusual electrical activity by electrically isolating the pulmonary veins (PV) from the left atrium (LA) using radiofrequency ablation. However, current clinical tools are limited in reliably assessing transmurality of the ablation lesions and detecting the presence of gaps within ablation lines, which can warrant repeat procedures. In this study, we developed an endoscopic multispectral reflectance imaging (eMSI) system for enhanced discrimination of tissue treatment at the PV junction. The system enables direct visualization of cardiac lesions through an endoscope at acquisition rates up to 25 Hz. Five narrowband, high-power LEDs were used to illuminate the sample (450, 530, 625, 810 and 940nm) and combinatory parameters were calculated based on their relative reflectance. A stitching algorithm was employed to generate large field-of-view, multispectral mosaics of the ablated PV junction from individual eMSI images. A total of 79 lesions from 15 swine hearts were imaged, ex vivo. Statistical analysis of the acquired five spectral data sets and ratiometric maps revealed significant differences between transmural lesions, non-transmural lesions around the venoatrial junctions, unablated posterior wall of left atrium tissue, and pulmonary vein (p < 0.0001). A pixel-based quadratic discriminant analysis classifier was applied to distinguish four tissue types: PV, untreated LA, non-transmural and transmural lesions. We demonstrate tissue type classification accuracies of 80.2% and 92.1% for non-transmural and transmural lesions, and 95.0% and 92.8% for PV and untreated LA sites, respectively. These findings showcase the potential of eMSI for lesion validation and may help to improve AFib treatment efficacy.
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Affiliation(s)
- Soo Young Park
- Department of Electrical Engineering, Columbia University, 500 W 120th Street, New York, NY, 10027, USA
| | - Rajinder P. Singh-Moon
- Department of Electrical Engineering, Columbia University, 500 W 120th Street, New York, NY, 10027, USA
| | - Elaine Y. Wan
- Department of Medicine, Division of Cardiology, Columbia University Medical Center, 630 W 168th Street, New York, NY, 10032, USA
| | - Christine P. Hendon
- Department of Electrical Engineering, Columbia University, 500 W 120th Street, New York, NY, 10027, USA
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Singh-Moon RP, Yao X, Iyer V, Marboe C, Whang W, Hendon CP. Real-time optical spectroscopic monitoring of nonirrigated lesion progression within atrial and ventricular tissues. JOURNAL OF BIOPHOTONICS 2019; 12:e201800144. [PMID: 30058239 PMCID: PMC6353711 DOI: 10.1002/jbio.201800144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 07/23/2018] [Accepted: 07/24/2018] [Indexed: 05/24/2023]
Abstract
Despite considerable advances in guidance of radiofrequency ablation (RFA) therapy for the treatment of cardiac arrhythmias, success rates have been hampered by a lack of tools for precise intraoperative evaluation of lesion extent. Near-infrared spectroscopic (NIRS) techniques are sensitive to tissue structural and biomolecular properties, characteristics that are directly altered by radiofrequency (RF) treatment. In this work, a combined NIRS-RFA catheter is developed for real-time monitoring of tissue reflectance during RF energy delivery. An algorithm is proposed for processing NIR spectra to approximate nonirrigated lesion depth in both atrial and ventricular tissues. The probe optical geometry was designed to bias measurement influence toward absorption enabling enhanced sensitivity to changes in tissue composition. A set of parameters termed "lesion optical indices" are defined encapsulating spectral differences between ablated and unablated tissue. Utilizing these features, a model for real-time tissue spectra classification and lesion size estimation is presented. Experimental validation conducted within freshly excised porcine cardiac specimens showed strong concordance between algorithm estimates and post-hoc tissue assessment.
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Affiliation(s)
- Rajinder P. Singh-Moon
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027, USA
| | - Xinwen Yao
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027, USA
| | - Vivek Iyer
- Department of Medicine, Cardiology Division, Columbia University Medical Center, 630 W. 168 St, New York, NY 10032, USA
| | - Charles Marboe
- Department of Pathology and Cell Biology, Columbia University Medical Center, 630 W. 168 St, New York, NY 10032, USA
| | - William Whang
- Department of Medicine, Cardiology Division, Columbia University Medical Center, 630 W. 168 St, New York, NY 10032, USA
- Currently with Department of Medicine, Cardiology Division, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Christine P. Hendon
- Department of Electrical Engineering, Columbia University, 500 W. 120 St, New York, NY 10027, USA
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15
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Guan S, Asfour H, Sarvazyan N, Loew M. Application of unsupervised learning to hyperspectral imaging of cardiac ablation lesions. J Med Imaging (Bellingham) 2018; 5:046003. [PMID: 30840727 DOI: 10.1117/1.jmi.5.4.046003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 11/12/2018] [Indexed: 12/24/2022] Open
Abstract
Atrial fibrillation is the most common cardiac arrhythmia. It is being effectively treated using the radiofrequency ablation (RFA) procedure, which destroys culprit tissue and creates scars that prevent the spread of abnormal electrical activity. Long-term success of RFA could be improved further if ablation lesions can be directly visualized during the surgery. We have shown that autofluorescence-based hyperspectral imaging (aHSI) can help to identify lesions based on spectral unmixing. We show that use of k -means clustering, an unsupervised learning method, is capable of detecting RFA lesions without a priori knowledge of the lesions' spectral characteristics. We also show that the number of spectral bands required for successful lesion identification can be significantly reduced, enabling the use of increased spectral bandwidth. Together, these findings can help with clinical implementation of a percutaneous aHSI catheter, since by reducing the number of spectral bands one can reduce hypercube acquisition and processing times, and by increasing the spectral width of individual bands one can collect more photons. The latter is of critical importance in low-light applications such as intracardiac aHSI. The ultimate goal of our studies is to help improve clinical outcomes for atrial fibrillation patients.
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Affiliation(s)
- Shuyue Guan
- George Washington University, Department of Biomedical Engineering, Washington, DC, United States
| | - Huda Asfour
- George Washington University Medical Center, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Narine Sarvazyan
- George Washington University Medical Center, Department of Pharmacology and Physiology, Washington, DC, United States
| | - Murray Loew
- George Washington University, Department of Biomedical Engineering, Washington, DC, United States
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16
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Asfour H, Guan S, Muselimyan N, Swift L, Loew M, Sarvazyan N. Optimization of wavelength selection for multispectral image acquisition: a case study of atrial ablation lesions. BIOMEDICAL OPTICS EXPRESS 2018; 9:2189-2204. [PMID: 29760980 PMCID: PMC5946781 DOI: 10.1364/boe.9.002189] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 03/08/2018] [Accepted: 04/09/2018] [Indexed: 05/17/2023]
Abstract
In vivo autofluorescence hyperspectral imaging of moving objects can be challenging due to motion artifacts and to the limited amount of acquired photons. To address both limitations, we selectively reduced the number of spectral bands while maintaining accurate target identification. Several downsampling approaches were applied to data obtained from the atrial tissue of adult pigs with sites of radiofrequency ablation lesions. Standard image qualifiers such as the mean square error, the peak signal-to-noise ratio, the structural similarity index map, and an accuracy index of lesion component images were used to quantify the effects of spectral binning, an increased spectral distance between individual bands, as well as random combinations of spectral bands. Results point to several quantitative strategies for deriving combinations of a small number of spectral bands that can successfully detect target tissue. Insights from our studies can be applied to a wide range of applications.
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Affiliation(s)
- Huda Asfour
- Department of Pharmacology & Physiology, The George Washington University Medical Center, 2300 Eye Street NW, Washington, DC 20037, USA
| | - Shuyue Guan
- Department of Biomedical Engineering, The George Washington University, 800 22nd Street NW, Washington, DC 20052, USA
| | - Narine Muselimyan
- Department of Pharmacology & Physiology, The George Washington University Medical Center, 2300 Eye Street NW, Washington, DC 20037, USA
| | - Luther Swift
- Department of Pharmacology & Physiology, The George Washington University Medical Center, 2300 Eye Street NW, Washington, DC 20037, USA
| | - Murray Loew
- Department of Biomedical Engineering, The George Washington University, 800 22nd Street NW, Washington, DC 20052, USA
| | - Narine Sarvazyan
- Department of Pharmacology & Physiology, The George Washington University Medical Center, 2300 Eye Street NW, Washington, DC 20037, USA
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17
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Kalyanasundaram A, Fedorov VV. Lights on! Can visual light help distinguish fibrotic scars from ablation lesions? Heart Rhythm 2018; 15:576-577. [PMID: 29309840 DOI: 10.1016/j.hrthm.2018.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Indexed: 11/25/2022]
Affiliation(s)
- Anuradha Kalyanasundaram
- Department of Physiology and Cell Biology, Davis Heart & Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio
| | - Vadim V Fedorov
- Department of Physiology and Cell Biology, Davis Heart & Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio.
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