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Guo B, Li Z, Tu P, Tang H, Tu Y. Molecular Imaging and Non-molecular Imaging of Atherosclerotic Plaque Thrombosis. Front Cardiovasc Med 2021; 8:692915. [PMID: 34291095 PMCID: PMC8286992 DOI: 10.3389/fcvm.2021.692915] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/08/2021] [Indexed: 12/11/2022] Open
Abstract
Thrombosis in the context of atherosclerosis typically results in life-threatening consequences, including acute coronary events and ischemic stroke. As such, early detection and treatment of thrombosis in atherosclerosis patients is essential. Clinical diagnosis of thrombosis in these patients is typically based upon a combination of imaging approaches. However, conventional imaging modalities primarily focus on assessing the anatomical structure and physiological function, severely constraining their ability to detect early thrombus formation or the processes underlying such pathology. Recently, however, novel molecular and non-molecular imaging strategies have been developed to assess thrombus composition and activity at the molecular and cellular levels more accurately. These approaches have been successfully used to markedly reduce rates of atherothrombotic events in patients suffering from acute coronary syndrome (ACS) by facilitating simultaneous diagnosis and personalized treatment of thrombosis. Moreover, these modalities allow monitoring of plaque condition for preventing plaque rupture and associated adverse cardiovascular events in such patients. Sustained developments in molecular and non-molecular imaging technologies have enabled the increasingly specific and sensitive diagnosis of atherothrombosis in animal studies and clinical settings, making these technologies invaluable to patients' health in the future. In the present review, we discuss current progress regarding the non-molecular and molecular imaging of thrombosis in different animal studies and atherosclerotic patients.
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Affiliation(s)
- Bingchen Guo
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhaoyue Li
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Peiyang Tu
- College of Clinical Medicine, Hubei University of Science and Technology, Xianning, China
| | - Hao Tang
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yingfeng Tu
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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Small DM, Jones JS, Tendler II, Miller PE, Ghetti A, Nishimura N. Label-free imaging of atherosclerotic plaques using third-harmonic generation microscopy. BIOMEDICAL OPTICS EXPRESS 2018; 9:214-229. [PMID: 29359098 PMCID: PMC5772576 DOI: 10.1364/boe.9.000214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/24/2017] [Accepted: 12/02/2017] [Indexed: 05/18/2023]
Abstract
Multiphoton microscopy using laser sources in the mid-infrared range (MIR, 1,300 nm and 1,700 nm) was used to image atherosclerotic plaques from murine and human samples. Third harmonic generation (THG) from atherosclerotic plaques revealed morphological details of cellular and extracellular lipid deposits. Simultaneous nonlinear optical signals from the same laser source, including second harmonic generation and endogenous fluorescence, resulted in label-free images of various layers within the diseased vessel wall. The THG signal adds an endogenous contrast mechanism with a practical degree of specificity for atherosclerotic plaques that complements current nonlinear optical methods for the investigation of cardiovascular disease. Our use of whole-mount tissue and backward scattered epi-detection suggests THG could potentially be used in the future as a clinical tool.
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Affiliation(s)
- David M. Small
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Jason S. Jones
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
- Contributed equally
| | - Irwin I. Tendler
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
| | - Paul E. Miller
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Andre Ghetti
- Anabios Corporation, 3030 Bunker Hill St., San Diego, CA 92109, USA
| | - Nozomi Nishimura
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 526 N. Campus Rd., Ithaca, NY 14853, USA
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Phipps JE, Hoyt T, Vela D, Wang T, Michalek JE, Buja LM, Jang IK, Milner TE, Feldman MD. Diagnosis of Thin-Capped Fibroatheromas in Intravascular Optical Coherence Tomography Images: Effects of Light Scattering. Circ Cardiovasc Interv 2017; 9:CIRCINTERVENTIONS.115.003163. [PMID: 27406987 DOI: 10.1161/circinterventions.115.003163] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 05/16/2016] [Indexed: 12/12/2022]
Abstract
BACKGROUND Intravascular optical coherence tomography (IVOCT) images are recorded by detecting light backscattered within coronary arteries. We hypothesize that non-thin-capped fibroatheroma (TCFA) causes may scatter light to create the false appearance of IVOCT TCFA. METHODS AND RESULTS Ten human cadaver hearts were imaged with IVOCT (n=14 coronary arteries). IVOCT and histological TCFA images were coregistered and compared. Of 21 IVOCT TCFAs (fibrous cap <65 μm, lipid arc >1 quadrant), only 8 were true histological TCFA. Foam cell infiltration was responsible for 70% of false IVOCT TCFA and caused both thick-capped fibroatheromas to appear as TCFA, and the appearance of TCFAs when no lipid core was present. Other false IVOCT TCFA causes included smooth muscle cell-rich fibrous tissue (12%) and loose connective tissue (9%). If the lipid arc >1 quadrant (obtuse) criterion was disregarded, 45 IVOCT TCFAs were identified, and sensitivity of IVOCT TCFA detection increased from 63% to 87%, and specificity remained high at 92%. CONCLUSIONS We demonstrate that IVOCT can exhibit 87% (95% CI, 75%-93%) sensitivity and 92% specificity (95% CI, 86%-96%) to detect all lipid arcs (both obtuse and acute, <1 quadrant) TCFA, and we also propose new mechanisms involving light scattering that explain why other plaque components can masquerade as TCFA and cause low positive predictive value of IVOCT for TCFA detection (47% for obtuse lipid arcs). Disregarding the lipid arc >1 quadrant requirement enhances the ability of IVOCT to detect TCFA.
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Affiliation(s)
- Jennifer E Phipps
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Taylor Hoyt
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Deborah Vela
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Tianyi Wang
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Joel E Michalek
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - L Maximilian Buja
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Ik-Kyung Jang
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Thomas E Milner
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.)
| | - Marc D Feldman
- From the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
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Kim S, Heflin S, Kresty LA, Halling M, Perez LN, Ho D, Crose M, Brown W, Farsiu S, Arshavsky V, Wax A. Analyzing spatial correlations in tissue using angle-resolved low coherence interferometry measurements guided by co-located optical coherence tomography. BIOMEDICAL OPTICS EXPRESS 2016; 7:1400-14. [PMID: 27446664 PMCID: PMC4929650 DOI: 10.1364/boe.7.001400] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 03/09/2016] [Accepted: 03/10/2016] [Indexed: 05/10/2023]
Abstract
Angle-resolved low coherence interferometry (a/LCI) is an optical technique used to measure nuclear morphology in situ. However, a/LCI is not an imaging modality and can produce ambiguous results when the measurements are not properly oriented to the tissue architecture. Here we present a 2D a/LCI system which incorporates optical coherence tomography imaging to guide the measurements. System design and characterization are presented, along with example cases which demonstrate the utility of the combined measurements. In addition, future development and applications of this dual modality approach are discussed.
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Affiliation(s)
- Sanghoon Kim
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Stephanie Heflin
- Department of Ophthalmology, Duke University, Durham, NC 27708, USA
| | - Laura A. Kresty
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226 USA
| | - Meredith Halling
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226 USA
| | - Laura N. Perez
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226 USA
| | - Derek Ho
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Michael Crose
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - William Brown
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Sina Farsiu
- Department of Ophthalmology, Duke University, Durham, NC 27708, USA
| | - Vadim Arshavsky
- Department of Ophthalmology, Duke University, Durham, NC 27708, USA
| | - Adam Wax
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
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Timlin HM, Keane PA, Day AC, Salam T, Abdullah M, Rose GE, Ezra DG. Characterizing the lacrimal punctal region using anterior segment optical coherence tomography. Acta Ophthalmol 2016; 94:154-9. [PMID: 26648481 DOI: 10.1111/aos.12906] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 09/23/2015] [Indexed: 12/12/2022]
Abstract
PURPOSE Abnormalities of lacrimal punctum size and morphology probably contribute to excess tearing, with significant effects on quality-of-life for affected individuals. Our current understanding of normal punctal morphology originates from ex vivo studies, which are unlikely to capture the true nature of the living punctum. This study used enhanced depth anterior segment optical coherence tomography (OCT) to give improved characterization and understanding of lacrimal punctal structure. METHODS Qualitative and quantitative assessments were performed on spectral domain OCT images collected prospectively from 40 lower puncta of 20 healthy volunteers. RESULTS The average external lower lid punctal diameter was 0.646 mm (SD 150 μm) on OCT imaging, measured at the largest diameter, which was in parallel to the mucocutaneous junction. Fifty-five per cent of puncta appeared closed, whilst the eyelids were open. Fluid menisci were visible within 73% of puncta. A postpunctal 'ampulla' was visible within three systems, one of which was imaged through the conjunctival surface. Ampullary dilatation occurred laterally, rather than at the medial wall. CONCLUSION Optical coherence tomography provides quick and non-invasive assessment of the lacrimal punctum and its neighbouring tissue layers. This assessment of punctal size and morphology has the potential for further investigation of punctal physiology, for aiding diagnosis, and for monitoring the results of treatment. The average external diameter of the punctal opening measured in this study is greater than that recorded in anatomical textbooks.
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Affiliation(s)
| | - Pearse A. Keane
- NIHR Biomedical Research Centre for Ophthalmology; Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology; London UK
| | - Alexander C. Day
- NIHR Biomedical Research Centre for Ophthalmology; Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology; London UK
| | | | | | - Geoffrey E. Rose
- Lacrimal Clinic; Moorfields Eye Hospital; London UK
- NIHR Biomedical Research Centre for Ophthalmology; Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology; London UK
| | - Daniel G. Ezra
- Lacrimal Clinic; Moorfields Eye Hospital; London UK
- NIHR Biomedical Research Centre for Ophthalmology; Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology; London UK
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