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Hatami M, Özbek A, Deán‐Ben XL, Gutierrez J, Schill A, Razansky D, Larin KV. Noninvasive Tracking of Embryonic Cardiac Dynamics and Development with Volumetric Optoacoustic Spectroscopy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2400089. [PMID: 38526147 PMCID: PMC11165471 DOI: 10.1002/advs.202400089] [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: 01/03/2024] [Revised: 02/29/2024] [Indexed: 03/26/2024]
Abstract
Noninvasive monitoring of cardiac development can potentially prevent cardiac anomalies in adulthood. Mouse models provide unique opportunities to study cardiac development and disease in mammals. However, high-resolution noninvasive functional analyses of murine embryonic cardiac models are challenging because of the small size and fast volumetric motion of the embryonic heart, which is deeply embedded inside the uterus. In this study, a real time volumetric optoacoustic spectroscopy (VOS) platform for whole-heart visualization with high spatial (100 µm) and temporal (10 ms) resolutions is developed. Embryonic heart development on gestational days (GDs) 14.5-17.5 and quantify cardiac dynamics using time-lapse-4D image data of the heart is followed. Additionally, spectroscopic recordings enable the quantification of the blood oxygenation status in heart chambers in a label-free and noninvasive manner. This technology introduces new possibilities for high-resolution quantification of embryonic heart function at different gestational stages in mammalian models, offering an invaluable noninvasive method for developmental biology.
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Affiliation(s)
- Maryam Hatami
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
| | - Ali Özbek
- Institute for Biomedical Engineering and Institute of Pharmacology and ToxicologyFaculty of MedicineUniversity of ZurichZurich8057Switzerland
- Institute for Biomedical EngineeringDepartment of Information Technology and Electrical EngineeringETH ZurichZurich8092Switzerland
| | - Xosé Luís Deán‐Ben
- Institute for Biomedical Engineering and Institute of Pharmacology and ToxicologyFaculty of MedicineUniversity of ZurichZurich8057Switzerland
- Institute for Biomedical EngineeringDepartment of Information Technology and Electrical EngineeringETH ZurichZurich8092Switzerland
| | - Jessica Gutierrez
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
| | - Alexander Schill
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and ToxicologyFaculty of MedicineUniversity of ZurichZurich8057Switzerland
- Institute for Biomedical EngineeringDepartment of Information Technology and Electrical EngineeringETH ZurichZurich8092Switzerland
| | - Kirill V. Larin
- Department of Biomedical EngineeringUniversity of HoustonHoustonTX77004USA
- Department of Integrative PhysiologyBaylor College of MedicineHoustonTX77030USA
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Thompson WR, Brecht HPF, Ivanov V, Yu AM, Dumani DS, Lawrence DJ, Emelianov SY, Ermilov SA. Characterizing a photoacoustic and fluorescence imaging platform for preclinical murine longitudinal studies. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:036001. [PMID: 36895414 PMCID: PMC9990133 DOI: 10.1117/1.jbo.28.3.036001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Significance To effectively study preclinical animal models, medical imaging technology must be developed with a high enough resolution and sensitivity to perform anatomical, functional, and molecular assessments. Photoacoustic (PA) tomography provides high resolution and specificity, and fluorescence (FL) molecular tomography provides high sensitivity; the combination of these imaging modes will enable a wide range of research applications to be studied in small animals. Aim We introduce and characterize a dual-modality PA and FL imaging platform using in vivo and phantom experiments. Approach The imaging platform's detection limits were characterized through phantom studies that determined the PA spatial resolution, PA sensitivity, optical spatial resolution, and FL sensitivity. Results The system characterization yielded a PA spatial resolution of 173 ± 17 μ m in the transverse plane and 640 ± 120 μ m in the longitudinal axis, a PA sensitivity detection limit not less than that of a sample with absorption coefficient μ a = 0.258 cm - 1 , an optical spatial resolution of 70 μ m in the vertical axis and 112 μ m in the horizontal axis, and a FL sensitivity detection limit not < 0.9 μ M concentration of IR-800. The scanned animals displayed in three-dimensional renders showed high-resolution anatomical detail of organs. Conclusions The combined PA and FL imaging system has been characterized and has demonstrated its ability to image mice in vivo, proving its suitability for biomedical imaging research applications.
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Affiliation(s)
| | | | - Vassili Ivanov
- PhotoSound Technologies, Inc., Houston, Texas, United States
| | - Anthony M. Yu
- Georgia Institute of Technology, Department of Biomedical Engineering, Atlanta, Georgia, United States
| | - Diego S. Dumani
- Georgia Institute of Technology, Department of Biomedical Engineering, Atlanta, Georgia, United States
| | | | - Stanislav Y. Emelianov
- Georgia Institute of Technology, Department of Biomedical Engineering, Atlanta, Georgia, United States
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Zhang Y, Hao M, Li L, Luo Q, Deng S, Yang Y, Liu Y, Fang W, Song E. Research progress of contrast agents for bacterial infection imaging in vivo. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Li M, Beaumont N, Ma C, Rojas J, Vu T, Harlacher M, O'Connell G, Gessner RC, Kilian H, Kasatkina L, Chen Y, Huang Q, Shen X, Lovell JF, Verkhusha VV, Czernuszewicz T, Yao J. Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT). IEEE TRANSACTIONS ON MEDICAL IMAGING 2022; 41:2704-2714. [PMID: 35442884 PMCID: PMC9563100 DOI: 10.1109/tmi.2022.3168859] [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] [Indexed: 06/14/2023]
Abstract
Non-invasive small-animal imaging technologies, such as optical imaging, magnetic resonance imaging and x -ray computed tomography, have enabled researchers to study normal biological phenomena or disease progression in their native conditions. However, existing small-animal imaging technologies often lack either the penetration capability for interrogating deep tissues (e.g., optical microscopy), or the functional and molecular sensitivity for tracking specific activities (e.g., magnetic resonance imaging). To achieve functional and molecular imaging in deep tissues, we have developed an integrated photoacoustic, ultrasound and acoustic angiographic tomography (PAUSAT) system by seamlessly combining light and ultrasound. PAUSAT can perform three imaging modes simultaneously with complementary contrast: high-frequency B-mode ultrasound imaging of tissue morphology, microbubble-enabled acoustic angiography of tissue vasculature, and multi-spectral photoacoustic imaging of molecular probes. PAUSAT can provide three-dimensional (3D) multi-contrast images that are co-registered, with high spatial resolutions at large depths. Using PAUSAT, we performed proof-of-concept in vivo experiments on various small animal models: monitoring longitudinal development of placenta and embryo during mouse pregnancy, tracking biodistribution and metabolism of near-infrared organic dye on the whole-body scale, and detecting breast tumor expressing genetically-encoded photoswitchable phytochromes. These results have collectively demonstrated that PAUSAT has broad applicability in biomedical research, providing comprehensive structural, functional, and molecular imaging of small animal models.
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Lawrence DJ, Bayer CL. Photoacoustic imaging provides an in vivo assessment of the preeclamptic placenta remodeling and function in response to therapy. Placenta 2022; 126:46-53. [PMID: 35764022 PMCID: PMC10236486 DOI: 10.1016/j.placenta.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 05/16/2022] [Accepted: 06/17/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION There is a lack of effective therapeutic interventions for preeclampsia. A central factor in the etiology of the disease is the development of placental hypoxia due to abnormal vascular remodeling. However, methods to assess the impact of potential therapies on placental growth and remodeling are currently lacking. Here, we develop and validate ultrasound-guided photoacoustic imaging methods to monitor the placental response to therapeutic intervention. Establishing non-invasive tools to image placental function opens up previously unachievable understandings of placental therapeutic response. METHODS Studies were performed in the reduced uterine perfusion pressure (RUPP) rat model of preeclampsia. Preclinical research has identified tempol, a superoxide dismutase mimetic, and the phosphodiesterase inhibitor sildenafil as potential therapeutics for preeclampsia, as both improve in vivo maternal outcomes. PA images of the placental environment were acquired in RUPP rats receiving tempol (n = 8) or sildenafil (n = 8) to assess the longitudinal effects of treatment on placental oxygenation and vascular remodeling. Imaging measurements were validated with ex vivo histological analysis. RESULTS Spectral photoacoustic imaging non-invasively measured placental hypoxia and impaired vascular growth two days after the RUPP procedure was implemented. Sildenafil significantly improved (p < 0.05) placental oxygenation and promoted vascular remodeling in RUPP animals, while RUPP animals treated with tempol had a diminished placental therapeutic response. DISCUSSION We demonstrate that photoacoustic imaging provides in vivo measures of placental oxygenation and vascular remodeling, a previously unobtainable assessment of preeclamptic therapeutic response. These imaging tools have tremendous potential to accelerate the search for effective therapies for preeclampsia.
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Affiliation(s)
- Dylan J Lawrence
- Department of Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA, 70118, USA
| | - Carolyn L Bayer
- Department of Biomedical Engineering, Tulane University, 500 Lindy Boggs Center, New Orleans, LA, 70118, USA.
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Kang J, Koehler RC, Graham EM, Boctor EM. Photoacoustic assessment of the fetal brain and placenta as a method of non-invasive antepartum and intrapartum monitoring. Exp Neurol 2022; 347:113898. [PMID: 34662542 PMCID: PMC8756814 DOI: 10.1016/j.expneurol.2021.113898] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 11/21/2022]
Abstract
A noninvasive monitor for concurrent evaluation of placental and fetal sagittal sinus sO 2 for both antepartum surveillance at the late 2nd and 3rd trimesters and intrapartum monitoring would be a great advantage over current methods. A PA fetal brain and placental monitor has potential value to rapidly identify the fetus at risk for developing hypoxia and ischemia of a sufficient degree that brain injury or death may develop, which may be prevented by intervention with delivery and other follow-up treatments.
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Affiliation(s)
- Jeeun Kang
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Raymond C Koehler
- Department of Anesthesia and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ernest M Graham
- Department of Gyn-Ob, Division of Maternal-Fetal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Neuroscience Intensive Care Nursery Program, Johns Hopkins University School of Medicine; Baltimore, MD, United States of America.
| | - Emad M Boctor
- Laboratory for Computational Sensing and Robotics, Whiting School of Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
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Kim J, Park B, Ha J, Steinberg I, Hooper SM, Jeong C, Park EY, Choi W, Liang T, Bae JS, Managuli R, Kim Y, Gambhir SS, Lim DJ, Kim C. Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo. Cancer Res 2021; 81:4849-4860. [PMID: 34185675 DOI: 10.1158/0008-5472.can-20-3334] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/20/2021] [Accepted: 06/18/2021] [Indexed: 11/16/2022]
Abstract
Thyroid cancer is one of the most common cancers, with a global increase in incidence rate for both genders. Ultrasound-guided fine-needle aspiration is the current gold standard to diagnose thyroid cancers, but the results are inaccurate, leading to repeated biopsies and unnecessary surgeries. To reduce the number of unnecessary biopsies, we explored the use of multiparametric photoacoustic (PA) analysis in combination with the American Thyroid Association (ATA) Guideline (ATAP). In this study, we performed in vivo multispectral PA imaging on thyroid nodules from 52 patients, comprising 23 papillary thyroid cancer (PTC) and 29 benign cases. From the multispectral PA data, we calculated hemoglobin oxygen saturation level in the nodule area, then classified the PTC and benign nodules with multiparametric analysis. Statistical analyses showed that this multiparametric analysis of multispectral PA responses could classify PTC nodules. Combining the photoacoustically indicated probability of PTC and the ATAP led to a new scoring method that achieved a sensitivity of 83% and a specificity of 93%. This study is the first multiparametric analysis of multispectral PA data of thyroid nodules with statistical significance. As a proof of concept, the results show that the proposed new ATAP scoring can help physicians examine thyroid nodules for fine-needle aspiration biopsy, thus reducing unnecessary biopsies.
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Affiliation(s)
- Jeesu Kim
- Electrical Engineering, Pohang University of Science and Technology
| | - Byullee Park
- Convergence IT Engineering, Pohang University of Science and Technology
| | - Jeonghoon Ha
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | | | | | - Chaiho Jeong
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | - Eun-Yeong Park
- Electrical Engineering, Pohang University of Science and Technology
| | - Wonseok Choi
- Electrical Engineering, Pohang University of Science and Technology
| | | | | | | | - Yongmin Kim
- Electrical Engineering, Pohang University of Science and Technology
| | | | - Dong-Jun Lim
- Endocrinology and Metabolism, The Catholic University of Korea, Seoul St. Mary's Hospital
| | - Chulhong Kim
- Electrical Engineering, Pohang University of Science and Technology
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Regensburger AP, Brown E, Krönke G, Waldner MJ, Knieling F. Optoacoustic Imaging in Inflammation. Biomedicines 2021; 9:483. [PMID: 33924983 PMCID: PMC8145174 DOI: 10.3390/biomedicines9050483] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 12/11/2022] Open
Abstract
Optoacoustic or photoacoustic imaging (OAI/PAI) is a technology which enables non-invasive visualization of laser-illuminated tissue by the detection of acoustic signals. The combination of "light in" and "sound out" offers unprecedented scalability with a high penetration depth and resolution. The wide range of biomedical applications makes this technology a versatile tool for preclinical and clinical research. Particularly when imaging inflammation, the technology offers advantages over current clinical methods to diagnose, stage, and monitor physiological and pathophysiological processes. This review discusses the clinical perspective of using OAI in the context of imaging inflammation as well as in current and emerging translational applications.
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Affiliation(s)
- Adrian P. Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Loschgestr. 15, D-91054 Erlangen, Germany;
| | - Emma Brown
- Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK;
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Gerhard Krönke
- Department of Medicine 3, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Ulmenweg 18, D-91054 Erlangen, Germany;
| | - Maximilian J. Waldner
- Department of Medicine 1, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Ulmenweg 18, D-91054 Erlangen, Germany;
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Loschgestr. 15, D-91054 Erlangen, Germany;
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