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Verma N, Setia A, Mehata AK, Randhave N, Badgujar P, Malik AK, Muthu MS. Recent Advancement of Indocyanine Green Based Nanotheranostics for Imaging and Therapy of Coronary Atherosclerosis. Mol Pharm 2024. [PMID: 39225111 DOI: 10.1021/acs.molpharmaceut.4c00495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Atherosclerosis is a vascular intima condition in which any part of the circulatory system is affected, including the aorta and coronary arteries. Indocyanine green (ICG), a theranostic compound approved by the FDA, has shown promise in the treatment of coronary atherosclerosis after incorporation into nanoplatforms. By integration of ICG with targeting agents such as peptides or antibodies, it is feasible to increase its concentration in damaged arteries, hence increasing atherosclerosis detection. Nanotheranostics offers cutting-edge techniques for the clinical diagnosis and therapy of atherosclerotic plaques. Combining the optical properties of ICG with those of nanocarriers enables the improved imaging of atherosclerotic plaques and targeted therapeutic interventions. Several ICG-based nanotheranostics platforms have been developed such as polymeric nanoparticles, iron oxide nanoparticles, biomimetic systems, liposomes, peptide-based systems, etc. Theranostics for atherosclerosis diagnosis use magnetic resonance imaging (MRI), computed tomography (CT), near-infrared fluorescence (NIRF) imaging, photoacoustic/ultrasound imaging, positron emission tomography (PET), and single photon emission computed tomography (SPECT) imaging techniques. In addition to imaging, there is growing interest in employing ICG to treat atherosclerosis. In this review, we provide a conceptual explanation of ICG-based nanotheranostics for the imaging and therapy of coronary atherosclerosis. Moreover, advancements in imaging modalities such as MRI, CT, PET, SPECT, and ultrasound/photoacoustic have been discussed. Furthermore, we highlight the applications of ICG for coronary atherosclerosis.
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Affiliation(s)
- Nidhi Verma
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Aseem Setia
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Abhishesh Kumar Mehata
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Nandini Randhave
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Paresh Badgujar
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Ankit Kumar Malik
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
| | - Madaswamy S Muthu
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology (BHU), Varanasi 221005, India
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2
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Wang N, Chen T, Liu C, Meng J. Intelligent skin-removal photoacoustic computed tomography for human based on deep learning. JOURNAL OF BIOPHOTONICS 2024:e202400197. [PMID: 39092484 DOI: 10.1002/jbio.202400197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 07/13/2024] [Accepted: 07/15/2024] [Indexed: 08/04/2024]
Abstract
Photoacoustic computed tomography (PACT) has centimeter-level imaging ability and can be used to detect the human body. However, strong photoacoustic signals from skin cover deep tissue information, hindering the frontal display and analysis of photoacoustic images of deep regions of interest. Therefore, we propose a 2.5 D deep learning model based on feature pyramid structure and single-type skin annotation to extract the skin region, and design a mask generation algorithm to remove skin automatically. PACT imaging experiments on the human periphery blood vessel verified the correctness our proposed skin-removal method. Compared with previous studies, our method exhibits high robustness to the uneven illumination, irregular skin boundary, and reconstruction artifacts in the images, and the reconstruction errors of PACT images decreased by 20% ~ 90% with a 1.65 dB improvement in the signal-to-noise ratio at the same time. This study may provide a promising way for high-definition PACT imaging of deep tissues.
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Affiliation(s)
- Ning Wang
- School of Computer, Qufu Normal University, Rizhao, China
| | - Tao Chen
- School of Optics and Photonics, Beijing Institute of Technology, Beijing, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Chengbo Liu
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jing Meng
- School of Computer, Qufu Normal University, Rizhao, China
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3
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Yu Y, Feng T, Qiu H, Gu Y, Chen Q, Zuo C, Ma H. Simultaneous photoacoustic and ultrasound imaging: A review. ULTRASONICS 2024; 139:107277. [PMID: 38460216 DOI: 10.1016/j.ultras.2024.107277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 01/09/2024] [Accepted: 02/26/2024] [Indexed: 03/11/2024]
Abstract
Photoacoustic imaging (PAI) is an emerging biomedical imaging technique that combines the advantages of optical and ultrasound imaging, enabling the generation of images with both optical resolution and acoustic penetration depth. By leveraging similar signal acquisition and processing methods, the integration of photoacoustic and ultrasound imaging has introduced a novel hybrid imaging modality suitable for clinical applications. Photoacoustic-ultrasound imaging allows for non-invasive, high-resolution, and deep-penetrating imaging, providing a wealth of image information. In recent years, with the deepening research and the expanding biomedical application scenarios of photoacoustic-ultrasound bimodal systems, the immense potential of photoacoustic-ultrasound bimodal imaging in basic research and clinical applications has been demonstrated, with some research achievements already commercialized. In this review, we introduce the principles, technical advantages, and biomedical applications of photoacoustic-ultrasound bimodal imaging techniques, specifically focusing on tomographic, microscopic, and endoscopic imaging modalities. Furthermore, we discuss the future directions of photoacoustic-ultrasound bimodal imaging technology.
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Affiliation(s)
- Yinshi Yu
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Ting Feng
- Academy for Engineering & Technology, Fudan University, Shanghai 200433,China.
| | - Haixia Qiu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Ying Gu
- First Medical Center of PLA General Hospital, Beijing, China
| | - Qian Chen
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China
| | - Chao Zuo
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
| | - Haigang Ma
- Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China; Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210019, China; Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing, Jiangsu Province 210094, China.
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4
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Li T, Gong X, Guo H, Xi L. Photoacoustic expansion microscopy of melanosomes. OPTICS LETTERS 2024; 49:798-801. [PMID: 38359185 DOI: 10.1364/ol.509831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/13/2024] [Indexed: 02/17/2024]
Abstract
Optical resolution photoacoustic microscopy (OR-PAM) is a hybrid imaging method for visualizing organelles due to the high spatial resolution and abundant optical contrast. Usually, OR-PAM employs high numerical aperture (NA) objectives and high-frequency ultrasonic detectors to resolve three-dimensional (3D) microstructures of cells. Expansion microscopy (ExM) provides a nanoscale resolution by isotropically enlarging cells instead of utilizing ultrahigh NA objectives. In this Letter, we report the development of photoacoustic expansion microscopy (PA-ExM) that combines the advantages of OR-PAM and ExM for 3D organelle imaging using near-infrared light. We evaluate the performance of PA-ExM using label-free melanoma cells, where the image quality of melanosome distributions in expanded cells using a 40× objective is comparable to that of unexpanded cells using an oil-immersed 100× objective. The results suggest that PA-ExM possesses the great potential to study organelles.
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Choi S, Park S, Kim J, Kim H, Cho S, Kim S, Park J, Kim C. X-ray free-electron laser induced acoustic microscopy (XFELAM). PHOTOACOUSTICS 2024; 35:100587. [PMID: 38312809 PMCID: PMC10835452 DOI: 10.1016/j.pacs.2024.100587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/11/2024] [Accepted: 01/11/2024] [Indexed: 02/06/2024]
Abstract
The X-ray free-electron laser (XFEL) has remarkably advanced X-ray imaging technology and enabled important scientific achievements. The XFEL's extremely high power, short pulse width, low emittance, and high coherence make possible such diverse imaging techniques as absorption/emission spectroscopy, diffraction imaging, and scattering imaging. Here, we demonstrate a novel XFEL-based imaging modality that uses the X-ray induced acoustic (XA) effect, which we call X-ray free-electron laser induced acoustic microscopy (XFELAM). Initially, we verified the XA effect by detecting XA signals from various materials, then we validated the experimental results with simulation outcomes. Next, in resolution experiments, we successfully imaged a patterned tungsten target with drilled various-sized circles at a spatial resolution of 7.8 ± 5.1 µm, which is the first micron-scale resolution achieved by XA imaging. Our results suggest that the novel XFELAM can expand the usability of XFEL in various areas of fundamental scientific research.
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Affiliation(s)
- Seongwook Choi
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Sinyoung Park
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Jiwoong Kim
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Hyunhee Kim
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Seonghee Cho
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Sunam Kim
- Pohang Accelerator Laboratory, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Jaeku Park
- Pohang Accelerator Laboratory, 77 Cheongam-ro, Pohang 37673, Republic of Korea
| | - Chulhong Kim
- Pohang University of Science and Technology (POSTECH), Medical Device Innovation Center, Department of Electrical Engineering, Convergence IT Engineering, Mechanical Engineering, Medical Science and Engineering, 77 Cheongam-ro, Pohang 37673, Republic of Korea
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Shah R, Phatak N, Choudhary A, Gadewar S, Ajazuddin, Bhattacharya S. Exploring the Theranostic Applications and Prospects of Nanobubbles. Curr Pharm Biotechnol 2024; 25:1167-1181. [PMID: 37861011 DOI: 10.2174/0113892010248189231010085827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 09/01/2023] [Accepted: 09/07/2023] [Indexed: 10/21/2023]
Abstract
Anticancer medications as well as additional therapeutic compounds, have poor clinical effectiveness due to their diverse distribution, non-selectivity for malignant cells, and undesirable off-target side effects. As a result, ultrasound-based targeted delivery of therapeutic compounds carried in sophisticated nanocarriers has grown in favor of cancer therapy and control. Nanobubbles are nanoscale bubbles that exhibit unique physiochemical properties in both their inner core and outer shell. Manufacturing nanobubbles primarily aims to enhance therapeutic agents' bioavailability, stability, and targeted delivery. The small size of nanobubbles allows for their extravasation from blood vessels into surrounding tissues and site-specific release through ultrasound targeting. Ultrasound technology is widely utilized for therapy due to its speed, safety, and cost-effectiveness, and micro/nanobubbles, as ultrasound contrast agents, have numerous potential applications in disease treatment. Thus, combining ultrasound applications with NBs has recently demonstrated increased localization of anticancer molecules in tumor tissues with triggered release behavior. Consequently, an effective therapeutic concentration of drugs/genes is achieved in target tumor tissues with ultimately increased therapeutic efficacy and minimal side effects on other non-cancerous tissues. This paper provides a brief overview of the production processes for nanobubbles, along with their key characteristics and potential therapeutic uses.
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Affiliation(s)
- Rahul Shah
- Department of Pharmaceutics, School of Pharmacy & Technology Management, SVKM'S NMIMS Deemed-to-be University, Shirpur, Maharashtra, 425405, India
| | - Niraj Phatak
- Department of Pharmaceutics, School of Pharmacy & Technology Management, SVKM'S NMIMS Deemed-to-be University, Shirpur, Maharashtra, 425405, India
| | - Ashok Choudhary
- Department of Quality Assurance, School of Pharmacy & Technology Management, SVKM'S NMIMS Deemed-to-be University, Shirpur, Maharashtra, 425405, India
| | - Sakshi Gadewar
- Department of Pharmaceutics, School of Pharmacy & Technology Management, SVKM'S NMIMS Deemed-to-be University, Shirpur, Maharashtra, 425405, India
| | - Ajazuddin
- Department of Pharmaceutics, Rungta College of Pharmaceutical Sciences & Research, Khoka-Kurud Road, Bhilai, Chhattisgarh, 490024, India
| | - Sankha Bhattacharya
- Department of Pharmaceutics, School of Pharmacy & Technology Management, SVKM'S NMIMS Deemed-to-be University, Shirpur, Maharashtra, 425405, India
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Sridharan B, Lim HG. Advances in photoacoustic imaging aided by nano contrast agents: special focus on role of lymphatic system imaging for cancer theranostics. J Nanobiotechnology 2023; 21:437. [PMID: 37986071 PMCID: PMC10662568 DOI: 10.1186/s12951-023-02192-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/03/2023] [Indexed: 11/22/2023] Open
Abstract
Photoacoustic imaging (PAI) is a successful clinical imaging platform for management of cancer and other health conditions that has seen significant progress in the past decade. However, clinical translation of PAI based methods are still under scrutiny as the imaging quality and clinical information derived from PA images are not on par with other imaging methods. Hence, to improve PAI, exogenous contrast agents, in the form of nanomaterials, are being used to achieve better image with less side effects, lower accumulation, and improved target specificity. Nanomedicine has become inevitable in cancer management, as it contributes at every stage from diagnosis to therapy, surgery, and even in the postoperative care and surveillance for recurrence. Nanocontrast agents for PAI have been developed and are being explored for early and improved cancer diagnosis. The systemic stability and target specificity of the nanomaterials to render its theranostic property depends on various influencing factors such as the administration route and physico-chemical responsiveness. The recent focus in PAI is on targeting the lymphatic system and nodes for cancer diagnosis, as they play a vital role in cancer progression and metastasis. This review aims to discuss the clinical advancements of PAI using nanoparticles as exogenous contrast agents for cancer theranostics with emphasis on PAI of lymphatic system for diagnosis, cancer progression, metastasis, PAI guided tumor resection, and finally PAI guided drug delivery.
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Affiliation(s)
- Badrinathan Sridharan
- Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea
| | - Hae Gyun Lim
- Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
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Cuccurullo V, Rapa M, Catalfamo B, Cascini GL. Role of Nuclear Sentinel Lymph Node Mapping Compared to New Alternative Imaging Methods. J Pers Med 2023; 13:1219. [PMID: 37623469 PMCID: PMC10455335 DOI: 10.3390/jpm13081219] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/22/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
With the emergence of sentinel node technology, many patients can be staged histopathologically using lymphatic mapping and selective lymphadenectomy. Structural imaging by using US, CT and MR permits precise measurement of lymph node volume, which is strongly associated with neoplastic involvement. Sentinel lymph node detection has been an ideal field of application for nuclear medicine because anatomical data fails to represent the close connections between the lymphatic system and regional lymph nodes, or, more specifically, to identify the first draining lymph node. Hybrid imaging has demonstrated higher accuracy than standard imaging in SLN visualization on images, but it did not change in terms of surgical detection. New alternatives without ionizing radiations are emerging now from "non-radiological" fields, such as ophthalmology and dermatology, where fluorescence or opto-acoustic imaging, for example, are widely used. In this paper, we will analyze the advantages and limits of the main innovative methods in sentinel lymph node detection, including innovations in lymphoscintigraphy techniques that persist as the gold standard to date.
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Affiliation(s)
- Vincenzo Cuccurullo
- Department of Precision Medicine, Università della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy
| | - Marco Rapa
- Department of Precision Medicine, Università della Campania “Luigi Vanvitelli”, 80138 Napoli, Italy
| | - Barbara Catalfamo
- Nuclear Medicine Unit, Department of Diagnostic Imaging, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy (G.L.C.)
| | - Giuseppe Lucio Cascini
- Nuclear Medicine Unit, Department of Diagnostic Imaging, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy (G.L.C.)
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Sun B, Liu J, Li S, Lovell JF, Zhang Y. Imaging of Gastrointestinal Tract Ailments. J Imaging 2023; 9:115. [PMID: 37367463 DOI: 10.3390/jimaging9060115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/20/2023] [Accepted: 05/25/2023] [Indexed: 06/28/2023] Open
Abstract
Gastrointestinal (GI) disorders comprise a diverse range of conditions that can significantly reduce the quality of life and can even be life-threatening in serious cases. The development of accurate and rapid detection approaches is of essential importance for early diagnosis and timely management of GI diseases. This review mainly focuses on the imaging of several representative gastrointestinal ailments, such as inflammatory bowel disease, tumors, appendicitis, Meckel's diverticulum, and others. Various imaging modalities commonly used for the gastrointestinal tract, including magnetic resonance imaging (MRI), positron emission tomography (PET) and single photon emission computed tomography (SPECT), and photoacoustic tomography (PAT) and multimodal imaging with mode overlap are summarized. These achievements in single and multimodal imaging provide useful guidance for improved diagnosis, staging, and treatment of the corresponding gastrointestinal diseases. The review evaluates the strengths and weaknesses of different imaging techniques and summarizes the development of imaging techniques used for diagnosing gastrointestinal ailments.
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Affiliation(s)
- Boyang Sun
- Key Laboratory of Systems Bioengineering, School of Chemical Engineering and Technology, Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
| | - Jingang Liu
- Key Laboratory of Systems Bioengineering, School of Chemical Engineering and Technology, Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
| | - Silu Li
- Key Laboratory of Systems Bioengineering, School of Chemical Engineering and Technology, Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
| | - Jonathan F Lovell
- Department of Biomedical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA
| | - Yumiao Zhang
- Key Laboratory of Systems Bioengineering, School of Chemical Engineering and Technology, Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin 300350, China
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Veverka M, Menozzi L, Yao J. The sound of blood: photoacoustic imaging in blood analysis. MEDICINE IN NOVEL TECHNOLOGY AND DEVICES 2023; 18:100219. [PMID: 37538444 PMCID: PMC10399298 DOI: 10.1016/j.medntd.2023.100219] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023] Open
Abstract
Blood analysis is a ubiquitous and critical aspect of modern medicine. Analyzing blood samples requires invasive techniques, various testing systems, and samples are limited to relatively small volumes. Photoacoustic imaging (PAI) is a novel imaging modality that utilizes non-ionizing energy that shows promise as an alternative to current methods. This paper seeks to review current applications of PAI in blood analysis for clinical use. Furthermore, we discuss obstacles to implementation and future directions to overcome these challenges. Firstly, we discuss three applications to cellular analysis of blood: sickle cell, bacteria, and circulating tumor cell detection. We then discuss applications to the analysis of blood plasma, including glucose detection and anticoagulation quantification. As such, we hope this article will serve as inspiration for PAI's potential application in blood analysis and prompt further studies to ultimately implement PAI into clinical practice.
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Gezginer I, Chen Z, Yoshihara HA, Deán-Ben XL, Razansky D. Volumetric registration framework for multimodal functional magnetic resonance and optoacoustic tomography of the rodent brain. PHOTOACOUSTICS 2023; 31:100522. [PMID: 37362869 PMCID: PMC10285284 DOI: 10.1016/j.pacs.2023.100522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/06/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
Optoacoustic tomography (OAT) provides a non-invasive means to characterize cerebral hemodynamics across an entire murine brain while attaining multi-parametric readouts not available with other modalities. This unique capability can massively impact our understanding of brain function. However, OAT largely lacks the soft tissue contrast required for unambiguous identification of brain regions. Hence, its accurate registration to a reference brain atlas is paramount for attaining meaningful functional readings. Herein, we capitalized on the simultaneously acquired bi-modal data from the recently-developed hybrid magnetic resonance optoacoustic tomography (MROT) scanner in order to devise an image coregistration paradigm that facilitates brain parcellation and anatomical referencing. We evaluated the performance of the proposed methodology by coregistering OAT data acquired with a standalone system using different registration methods. The enhanced performance is further demonstrated for functional OAT data analysis and characterization of stimulus-evoked brain responses. The suggested approach enables better consolidation of the research findings thus facilitating wider acceptance of OAT as a powerful neuroimaging tool to study brain functions and diseases.
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Affiliation(s)
- Irmak Gezginer
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Zhenyue Chen
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Hikari A.I. Yoshihara
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Xosé Luís Deán-Ben
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
| | - Daniel Razansky
- Institute for Biomedical Engineering and Institute of Pharmacology and Toxicology, Faculty of Medicine, University of Zurich, Switzerland
- Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland
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Jo J, Folz J, Gonzalez ME, Paolì A, Eido A, Salfi E, Tekula S, Andò S, Caruso R, Kleer CG, Wang X, Kopelman R. Personalized Oncology by In Vivo Chemical Imaging: Photoacoustic Mapping of Tumor Oxygen Predicts Radiotherapy Efficacy. ACS NANO 2023; 17:4396-4403. [PMID: 36847392 PMCID: PMC10149113 DOI: 10.1021/acsnano.2c09502] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
We hereby apply the approach of photoacoustic chemical imaging, performing an in vivo chemical analysis that is spatially resolved (200 μm) and in real time, to predict a given tumor's response to therapy. Using triple negative breast cancer as a model, we took photoacoustic images of tumors' oxygen distributions in patient-derived xenografts (PDXs) in mice using biocompatible, oxygen-sensitive tumor-targeted chemical contrast nanoelements (nanosonophores), which function as contrast agents for photoacoustic imaging. Following radiation therapy, we established a quantitatively significant correlation between the spatial distribution of the initial oxygen levels in the tumor and its spatial distribution of the therapy's efficacy: the lower the local oxygen, the lower the local radiation therapy efficacy. We thus provide a simple, noninvasive, and inexpensive method to both predict the efficacy of radiation therapy for a given tumor and identify treatment-resistant regions within the tumor's microenvironment.
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Affiliation(s)
- Janggun Jo
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jeff Folz
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Maria E. Gonzalez
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Alessandro Paolì
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS) 87036, Italy
- Department of Biology, University of Padua, Padua 35122, Italy
| | - Ahmad Eido
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Eamon Salfi
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
| | - Shilpa Tekula
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Sebastiano Andò
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS) 87036, Italy
| | - Roberta Caruso
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
| | - Celina G. Kleer
- Department of Pathology and Rogel Cancer Center, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Corresponding Author: Drs. Kleer, Wang and Kopelman are corresponding authors, Celina G. Kleer, MD – . Telephone: 734-936-6775, Xueding Wang, PhD - . Telephone: 734-647-2728, Raoul Kopelman, PhD - . Telephone: 734-764-7541
| | - Xueding Wang
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- Corresponding Author: Drs. Kleer, Wang and Kopelman are corresponding authors, Celina G. Kleer, MD – . Telephone: 734-936-6775, Xueding Wang, PhD - . Telephone: 734-647-2728, Raoul Kopelman, PhD - . Telephone: 734-764-7541
| | - Raoul Kopelman
- Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Corresponding Author: Drs. Kleer, Wang and Kopelman are corresponding authors, Celina G. Kleer, MD – . Telephone: 734-936-6775, Xueding Wang, PhD - . Telephone: 734-647-2728, Raoul Kopelman, PhD - . Telephone: 734-764-7541
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13
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Hakakzadeh S, Amjadian M, Zhang Y, Mostafavi SM, Kavehvash Z, Wang L. Signal restoration algorithm for photoacoustic imaging systems. BIOMEDICAL OPTICS EXPRESS 2023; 14:651-666. [PMID: 36874483 PMCID: PMC9979682 DOI: 10.1364/boe.480842] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/17/2022] [Accepted: 12/18/2022] [Indexed: 06/18/2023]
Abstract
In a photoacoustic (PA) imaging system, the detectors are bandwidth-limited. Therefore, they capture PA signals with some unwanted ripples. This limitation degrades the resolution/contrast and induces sidelobes and artifacts in the reconstructed images along the axial direction. To compensate for the limited bandwidth effect, we present a PA signal restoration algorithm, where a mask is designed to extract the signals at the absorber positions and remove the unwanted ripples. This restoration improves the axial resolution and contrast in the reconstructed image. The restored PA signals can be considered as the input of the conventional reconstruction algorithms (e.g., Delay-and-sum (DAS) and Delay-multiply-and-sum (DMAS)). To compare the performance of the proposed method, DAS and DMAS reconstruction algorithms were performed with both the initial and restored PA signals on numerical and experimental studies (numerical targets, tungsten wires, and human forearm). The results show that, compared with the initial PA signals, the restored PA signals can improve the axial resolution and contrast by 45% and 16.1 dB, respectively, and suppress background artifacts by 80%.
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Affiliation(s)
- Soheil Hakakzadeh
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
- Equal Contribution
| | - Mohammadreza Amjadian
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Equal Contribution
| | - Yachao Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
| | | | - Zahra Kavehvash
- Electrical Engineering Department of Sharif University of Technology, Tehran, Iran
| | - Lidai Wang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China
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14
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Yoo J, Oh D, Kim C, Kim HH, Um JY. Switchable preamplifier for dual modal photoacoustic and ultrasound imaging. BIOMEDICAL OPTICS EXPRESS 2023; 14:89-105. [PMID: 36698663 PMCID: PMC9842014 DOI: 10.1364/boe.476453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Photoacoustic (PA) imaging is a high-fidelity biomedical imaging technique based on the principle of molecular-specific optical absorption of biological tissue constitute. Because PA imaging shares the same basic principle as that of ultrasound (US) imaging, the use of PA/US dual-modal imaging can be achieved using a single system. However, because PA imaging is limited to a shallower depth than US imaging due to the optical extinction in biological tissue, the PA signal yields a lower signal-to-noise ratio (SNR) than US images. To selectively amplify the PA signal, we propose a switchable preamplifier for acoustic-resolution PA microscopy implemented on an application-specific integrated circuit. Using the preamplifier, we measured the increments in the SNR with both carbon lead and wire phantoms. Furthermore, in vivo whole-body PA/US imaging of a mouse with a preamplifier showed enhancement of SNR in deep tissues, unveiling deeply located organs and vascular networks. By selectively amplifying the PA signal range to a level similar to that of the US signal without contrast agent administration, our switchable amplifier strengthens the mutual complement between PA/US imaging. PA/US imaging is impending toward clinical translation, and we anticipate that this study will help mitigate the imbalance of image depth between the two imaging modalities.
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Affiliation(s)
- Jinhee Yoo
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Contributed equally
| | - Donghyeon Oh
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Contributed equally
| | - Chulhong Kim
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
| | - Hyung Ham Kim
- School of Interdisciplinary Bioscience and
Bioengineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Convergence IT Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of
Korea
- Equal contribution
| | - Ji-Yong Um
- Department of Medical IT
Convergence Engineering, Kumoh National Institute of
Technology, Gumi 39253, Republic
of Korea
- Equal contribution
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15
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Ren D, Li C, Shi J, Chen R. A Review of High-Frequency Ultrasonic Transducers for Photoacoustic Imaging Applications. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2022; 69:1848-1858. [PMID: 34941509 DOI: 10.1109/tuffc.2021.3138158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Photoacoustic imaging (PAI) is a new and rapidly growing hybrid biomedical imaging modality that combines the virtues of both optical and ultrasonic (US) imaging. The nature of the interaction between light and ultrasound waves allows PAI to make good use of the rich contrast produced by optics while retaining the imaging depths in US imaging. High-frequency US transducers are an important part of the PAI systems, used to detect the high-frequency and broad-bandwidth photoacoustic signals excited by the target tissues irradiated by short laser pulses. Advancement in high-frequency US transducer technology has influenced the boost of PAI to broad applications. Here, we present a review on high-frequency US transducer technologies for PAI applications, including advanced piezoelectric materials and representative transducers. In addition, we discuss the new challenges and directions facing the development of high-frequency US transducers for PAI applications.
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16
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Farooq A, Sabah S, Dhou S, Alsawaftah N, Husseini G. Exogenous Contrast Agents in Photoacoustic Imaging: An In Vivo Review for Tumor Imaging. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:393. [PMID: 35159738 PMCID: PMC8840344 DOI: 10.3390/nano12030393] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/10/2022] [Accepted: 01/18/2022] [Indexed: 11/16/2022]
Abstract
The field of cancer theranostics has grown rapidly in the past decade and innovative 'biosmart' theranostic materials are being synthesized and studied to combat the fast growth of cancer metastases. While current state-of-the-art oncology imaging techniques have decreased mortality rates, patients still face a diminished quality of life due to treatment. Therefore, improved diagnostics are needed to define in vivo tumor growths on a molecular level to achieve image-guided therapies and tailored dosage needs. This review summarizes in vivo studies that utilize contrast agents within the field of photoacoustic imaging-a relatively new imaging modality-for tumor detection, with a special focus on imaging and transducer parameters. This paper also details the different types of contrast agents used in this novel diagnostic field, i.e., organic-based, metal/inorganic-based, and dye-based contrast agents. We conclude this review by discussing the challenges and future direction of photoacoustic imaging.
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Affiliation(s)
- Afifa Farooq
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah 26666, United Arab Emirates; (A.F.); (S.S.); (N.A.)
| | - Shafiya Sabah
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah 26666, United Arab Emirates; (A.F.); (S.S.); (N.A.)
| | - Salam Dhou
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah 26666, United Arab Emirates; (A.F.); (S.S.); (N.A.)
- Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
| | - Nour Alsawaftah
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah 26666, United Arab Emirates; (A.F.); (S.S.); (N.A.)
| | - Ghaleb Husseini
- Biomedical Engineering Graduate Program, American University of Sharjah, Sharjah 26666, United Arab Emirates; (A.F.); (S.S.); (N.A.)
- Department of Chemical Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates
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17
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Recent Technical Progression in Photoacoustic Imaging—Towards Using Contrast Agents and Multimodal Techniques. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11219804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
For combining optical and ultrasonic imaging methodologies, photoacoustic imaging (PAI) is the most important and successful hybrid technique, which has greatly contributed to biomedical research and applications. Its theoretical background is based on the photoacoustic effect, whereby a modulated or pulsed light is emitted into tissue, which selectively absorbs the optical energy of the light at optical wavelengths. This energy produces a fast thermal expansion in the illuminated tissue, generating pressure waves (or photoacoustic waves) that can be detected by ultrasonic transducers. Research has shown that optical absorption spectroscopy offers high optical sensitivity and contrast for ingredient determination, for example, while ultrasound has demonstrated good spatial resolution in biomedical imaging. Photoacoustic imaging combines these advantages, i.e., high contrast through optical absorption and high spatial resolution due to the low scattering of ultrasound in tissue. In this review, we focus on advances made in PAI in the last five years and present categories and key devices used in PAI techniques. In particular, we highlight the continuously increasing imaging depth achieved by PAI, particularly when using exogenous reagents. Finally, we discuss the potential of combining PAI with other imaging techniques.
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18
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Chen T, Liu L, Ma X, Zhang Y, Liu H, Zheng R, Ren J, Zhou H, Ren Y, Gao R, Chen N, Zheng H, Song L, Liu C. Dedicated photoacoustic imaging instrument for human periphery blood vessels: A new paradigm for understanding the vascular health. IEEE Trans Biomed Eng 2021; 69:1093-1100. [PMID: 34543187 DOI: 10.1109/tbme.2021.3113764] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A novel photoacoustic imaging system based on a semi-ring transducer array is proposed to imageperipheralbloodvessels. The system's penetration depth is deep (~15 mm) with high spatial (~200 m) and temporal resolution. In a clinical study, volumetric photoacoustic data of limbs were obtained within the 50s (for a FOV of 15 cm4 cm) with the volunteers in the standing and sitting posture. Compared to the previous studies, our system has many advantages, including (1) Larger field of view; (2) Finer elevational and in-plane resolutions; (3) Enhanced 3D visualization of peripheralvascular networks; (4) Compact size and better portability. The 3D visualization and cross-sectional images of five healthy volunteers clearly show the vascular network and the system's ability to image submillimeter blood vessels. This high-resolution PA system has great potential for imaging human periphery vasculatures noninvasively in clinical research.
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Abstract
PURPOSE OF REVIEW Fibrosis is an important biomarker of chronic kidney injury, and a powerful predictor of renal outcome. Currently, the only method for measuring fibrotic burden is histologic analysis, which requires a kidney biopsy in humans, or kidney removal in animal models. These requirements have not only hindered our ability to manage patients effectively, but have also prevented a full understanding of renal fibrosis pathogenesis, and slowed the translation of new antifibrotic agents. The development of noninvasive fibrosis imaging tools could thus transform both clinical care and renal fibrosis research. RECENT FINDINGS Conventional imaging modalities have historically failed to image fibrosis successfully. However, recent exciting technological advances have greatly enhanced their capabilities. New techniques, for example, may allow imaging of the physical consequences of scarring, as surrogate measures of renal fibrosis. Similarly, other groups have developed ways to directly image extracellular matrix, either with the use of contrast-enhanced probes, or using matrix components as endogenous contrast agents. SUMMARY New developments in imaging technology have the potential to transform our ability to visualize renal fibrosis and to monitor its progression. In doing so, these advances could have major implications for kidney disease care, the development of new antiscarring agents, and our understanding of renal fibrosis in general.
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20
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Moore C, Borum RM, Mantri Y, Xu M, Fajtová P, O’Donoghue AJ, Jokerst JV. Activatable Carbocyanine Dimers for Photoacoustic and Fluorescent Detection of Protease Activity. ACS Sens 2021; 6:2356-2365. [PMID: 34038103 DOI: 10.1021/acssensors.1c00518] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Activatable contrast agents are of ongoing research interest because they offer low background and high specificity to the imaging target. Engineered sensitivity to protease activity is particularly desirable because proteases are critical biomarkers in cancer, infectious disease, inflammatory disorders, and so forth. Herein, we developed and characterized a set of peptide-linked cyanine conjugates for dual-modal detection of protease activity via photoacoustic (PA) and fluorescence imaging. The peptide-dye conjugates were designed to undergo contact quenching via intramolecular dimerization and contained n dyes (n = 2, 3, or 4) with n - 1 cleavable peptide substrates. The absorption peaks of the conjugates were blue-shifted 50 nm relative to the free dye and had quenched fluorescence. This effect was sensitive to solvent polarity and could be reversed by solvent switching from water to dimethyl sulfoxide. Employing trypsin as a model protease, we observed a 2.5-fold recovery of the peak absorbance, 330-4600-fold fluorescent enhancement, and picomolar detection limits following proteolysis. The dimer probe was further characterized for PA activation. Proteolysis released single dye-peptide fragments that produced a 5-fold PA enhancement through the increased absorption at 680 nm with nanomolar sensitivity to trypsin. The peptide substrate could also be tuned for protease selectivity; as a proof-of-concept, we detected the main protease (Mpro) associated with the viral replication in SARS-CoV-2 infection. Last, the activated probe was imaged subcutaneously in mice and signal was linearly correlated to the cleaved probe. Overall, these results demonstrate a tunable scaffold for the PA molecular imaging of protease activity with potential value in areas such as disease monitoring, tumor imaging, intraoperative imaging, in vitro diagnostics, and point-of-care sensing.
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Affiliation(s)
- Colman Moore
- Department of Nanoengineering, University of California, San Diego, La Jolla, California 92093, United States
| | - Raina M. Borum
- Department of Nanoengineering, University of California, San Diego, La Jolla, California 92093, United States
| | - Yash Mantri
- Department of Bioengineering, University of California, San Diego, La Jolla, California 92093, United States
| | - Ming Xu
- Department of Nanoengineering, University of California, San Diego, La Jolla, California 92093, United States
| | - Pavla Fajtová
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093, United States
| | - Anthony J. O’Donoghue
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093, United States
| | - Jesse V. Jokerst
- Department of Nanoengineering, University of California, San Diego, La Jolla, California 92093, United States
- Materials Science and Engineering Program, University of California, San Diego, La Jolla, California 92093, United States
- Department of Radiology, University of California, San Diego, La Jolla, California 92093, United States
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21
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Vu T, DiSpirito A, Li D, Wang Z, Zhu X, Chen M, Jiang L, Zhang D, Luo J, Zhang YS, Zhou Q, Horstmeyer R, Yao J. Deep image prior for undersampling high-speed photoacoustic microscopy. PHOTOACOUSTICS 2021; 22:100266. [PMID: 33898247 PMCID: PMC8056431 DOI: 10.1016/j.pacs.2021.100266] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/15/2021] [Accepted: 03/23/2021] [Indexed: 05/02/2023]
Abstract
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser's repetition rate, state-of-the-art high-speed PAM technology often sacrifices spatial sampling density (i.e., undersampling) for increased imaging speed over a large field-of-view. Deep learning (DL) methods have recently been used to improve sparsely sampled PAM images; however, these methods often require time-consuming pre-training and large training dataset with ground truth. Here, we propose the use of deep image prior (DIP) to improve the image quality of undersampled PAM images. Unlike other DL approaches, DIP requires neither pre-training nor fully-sampled ground truth, enabling its flexible and fast implementation on various imaging targets. Our results have demonstrated substantial improvement in PAM images with as few as 1.4 % of the fully sampled pixels on high-speed PAM. Our approach outperforms interpolation, is competitive with pre-trained supervised DL method, and is readily translated to other high-speed, undersampling imaging modalities.
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Affiliation(s)
- Tri Vu
- Photoacoustic Imaging Lab, Duke University, Durham, NC, 27708, USA
| | | | - Daiwei Li
- Photoacoustic Imaging Lab, Duke University, Durham, NC, 27708, USA
| | - Zixuan Wang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
| | - Xiaoyi Zhu
- Photoacoustic Imaging Lab, Duke University, Durham, NC, 27708, USA
| | - Maomao Chen
- Photoacoustic Imaging Lab, Duke University, Durham, NC, 27708, USA
| | - Laiming Jiang
- Department of Biomedical Engineering and USC Roski Eye Institute, University of Southern California, Los Angeles, CA, 90089, USA
| | - Dong Zhang
- Department of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Jianwen Luo
- Department of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
| | - Qifa Zhou
- Department of Biomedical Engineering and USC Roski Eye Institute, University of Southern California, Los Angeles, CA, 90089, USA
| | | | - Junjie Yao
- Photoacoustic Imaging Lab, Duke University, Durham, NC, 27708, USA
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22
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Gupta M, Mishra RK, Roy S. Sparsity-based nonlinear reconstruction of optical parameters in two-photon photoacoustic computed tomography. INVERSE PROBLEMS 2021; 37:044001. [PMID: 35368616 PMCID: PMC8974639 DOI: 10.1088/1361-6420/abdd0f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
We present a new nonlinear optimization approach for the sparse reconstruction of single-photon absorption and two-photon absorption coefficients in the photoacoustic computed tomography (PACT). This framework comprises of minimizing an objective functional involving a least squares fit of the interior pressure field data corresponding to two boundary source functions, where the absorption coefficients and the photon density are related through a semi-linear elliptic partial differential equation (PDE) arising in PAT. Further, the objective functional consists of an L 1 regularization term that promotes sparsity patterns in absorption coefficients. The motivation for this framework primarily comes from some recent works related to solving inverse problems in acousto-electric tomography and current density impedance tomography. We provide a new proof of existence and uniqueness of a solution to the semi-linear PDE. Further, a proximal method, involving a Picard solver for the semi-linear PDE and its adjoint, is used to solve the optimization problem. Several numerical experiments are presented to demonstrate the effectiveness of the proposed framework.
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Affiliation(s)
- Madhu Gupta
- Department of Mathematics, University of Texas at Arlington, TX 76019, USA
| | - Rohit Kumar Mishra
- Department of Mathematics, University of Texas at Arlington, TX 76019, USA
| | - Souvik Roy
- Department of Mathematics, University of Texas at Arlington, TX 76019, USA
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23
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Wiacek A, Lediju Bell MA. Photoacoustic-guided surgery from head to toe [Invited]. BIOMEDICAL OPTICS EXPRESS 2021; 12:2079-2117. [PMID: 33996218 PMCID: PMC8086464 DOI: 10.1364/boe.417984] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/17/2021] [Accepted: 02/18/2021] [Indexed: 05/04/2023]
Abstract
Photoacoustic imaging-the combination of optics and acoustics to visualize differences in optical absorption - has recently demonstrated strong viability as a promising method to provide critical guidance of multiple surgeries and procedures. Benefits include its potential to assist with tumor resection, identify hemorrhaged and ablated tissue, visualize metal implants (e.g., needle tips, tool tips, brachytherapy seeds), track catheter tips, and avoid accidental injury to critical subsurface anatomy (e.g., major vessels and nerves hidden by tissue during surgery). These benefits are significant because they reduce surgical error, associated surgery-related complications (e.g., cancer recurrence, paralysis, excessive bleeding), and accidental patient death in the operating room. This invited review covers multiple aspects of the use of photoacoustic imaging to guide both surgical and related non-surgical interventions. Applicable organ systems span structures within the head to contents of the toes, with an eye toward surgical and interventional translation for the benefit of patients and for use in operating rooms and interventional suites worldwide. We additionally include a critical discussion of complete systems and tools needed to maximize the success of surgical and interventional applications of photoacoustic-based technology, spanning light delivery, acoustic detection, and robotic methods. Multiple enabling hardware and software integration components are also discussed, concluding with a summary and future outlook based on the current state of technological developments, recent achievements, and possible new directions.
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Affiliation(s)
- Alycen Wiacek
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
| | - Muyinatu A. Lediju Bell
- Department of Electrical and Computer Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Computer Science, 3400 N. Charles St., Johns Hopkins University, Baltimore, MD 21218, USA
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24
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Das D, Sivasubramanian K, Rajendran P, Pramanik M. Label-free high frame rate imaging of circulating blood clots using a dual modal ultrasound and photoacoustic system. JOURNAL OF BIOPHOTONICS 2021; 14:e202000371. [PMID: 33231356 DOI: 10.1002/jbio.202000371] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 11/01/2020] [Accepted: 11/23/2020] [Indexed: 05/06/2023]
Abstract
Deep vein thrombosis (DVT) is a disorder when a blood clot (thrombus) is formed in one of the deep veins. These clots detach from the original sites and circulate in the blood stream at high velocities. Diagnosing these blood clots at an early stage is necessary to decide the treatment strategy. For label-free, in vivo, and real-time detection, high framerate photoacoustic imaging can be used. In this work, a dual modal clinical ultrasound and photoacoustic (PA) system is used for the high framerate PA imaging of circulating blood clots in blood at linear velocities up to 107 cm/sec. Blood clot had 1.4 times higher signal-to-noise ratio (SNR) in the static mode and 1.3 times higher SNR compared to blood PA signal in the flow experiments. This work demonstrates that fast-moving circulating blood clots are easy to recognize against the background PA signal and may aid in early diagnosis.
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Affiliation(s)
- Dhiman Das
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
| | | | | | - Manojit Pramanik
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
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25
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Polomska AK, Proulx ST. Imaging technology of the lymphatic system. Adv Drug Deliv Rev 2021; 170:294-311. [PMID: 32891679 DOI: 10.1016/j.addr.2020.08.013] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 07/16/2020] [Accepted: 08/31/2020] [Indexed: 12/17/2022]
Abstract
The lymphatic system plays critical roles in tissue fluid homeostasis and immunity and has been implicated in the development of many different pathologies, ranging from lymphedema, the spread of cancer to chronic inflammation. In this review, we first summarize the state-of-the-art of lymphatic imaging in the clinic and the advantages and disadvantages of these existing techniques. We then detail recent progress on imaging technology, including advancements in tracer design and injection methods, that have allowed visualization of lymphatic vessels with excellent spatial and temporal resolution in preclinical models. Finally, we describe the different approaches to quantifying lymphatic function that are being developed and discuss some emerging topics for lymphatic imaging in the clinic. Continued advancements in lymphatic imaging technology will be critical for the optimization of diagnostic methods for lymphatic disorders and the evaluation of novel therapies targeting the lymphatic system.
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Affiliation(s)
- Anna K Polomska
- ETH Zürich, Institute of Pharmaceutical Sciences, Vladimir-Prelog Weg 1-5/10, 8093 Zürich, Switzerland
| | - Steven T Proulx
- University of Bern, Theodor Kocher Institute, Freiestrasse 1, 3012 Bern, Switzerland.
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26
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Li L, Wu H, Hu S, Yu Y, Chen Z, Wang P, Zhou L, Li R, Yao L, Yue S. Clear cell renal cell carcinoma detection by multimodal photoacoustic tomography. PHOTOACOUSTICS 2021; 21:100221. [PMID: 33251109 PMCID: PMC7683266 DOI: 10.1016/j.pacs.2020.100221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 09/22/2020] [Accepted: 11/03/2020] [Indexed: 06/12/2023]
Abstract
There is a need for accurate and rapid detection of renal cancer in clinic. Here, we integrated photoacoustic tomography (PAT) with ultrasound imaging in a single system, which achieved tissue imaging depth about 3 mm and imaging speed about 3.5 cm2/min. We used the wavelength at 1197 nm to map lipid distribution in normal renal tissues and clear cell renal cell carcinoma (ccRCC) tissues collected from 19 patients undergone nephrectomy. Our results indicated that the photoacoustic signal from lipids was significantly higher in ccRCC tissues than that in normal tissues. Moreover, based on the quantification of lipid area ratio, we were able to differentiate normal and ccRCC with 100 % sensitivity, 80 % specificity, and area under receiver operating characteristic curve of 0.95. Our findings demonstrate that multimodal PAT can differentiate normal and ccRCC by integrating the morphologic information from ultrasound and lipid amount information from vibrational PAT.
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Affiliation(s)
- Lin Li
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Hanbo Wu
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Shuai Hu
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Yanfei Yu
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Zhicong Chen
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Pu Wang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
- Vibronix Inc., West Lafayette, IN, USA
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Rui Li
- Vibronix Inc., West Lafayette, IN, USA
| | - Lin Yao
- Department of Urology, Peking University First Hospital, Beijing 100034, China
| | - Shuhua Yue
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
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Hysi E, Fadhel MN, Wang Y, Sebastian JA, Giles A, Czarnota GJ, Exner AA, Kolios MC. Photoacoustic imaging biomarkers for monitoring biophysical changes during nanobubble-mediated radiation treatment. PHOTOACOUSTICS 2020; 20:100201. [PMID: 32775198 PMCID: PMC7393572 DOI: 10.1016/j.pacs.2020.100201] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/24/2020] [Accepted: 07/22/2020] [Indexed: 05/04/2023]
Abstract
The development of novel anticancer therapies warrants the parallel development of biomarkers that can quantify their effectiveness. Photoacoustic imaging has the potential to measure changes in tumor vasculature during treatment. Establishing the accuracy of imaging biomarkers requires direct comparisons with gold histological standards. In this work, we explore whether a new class of submicron, vascular disrupting, ultrasonically stimulated nanobubbles enhance radiation therapy. In vivo experiments were conducted on mice bearing prostate cancer tumors. Combined nanobubble plus radiation treatments were compared against conventional microbubbles and radiation alone (single 8 Gy fraction). Acoustic resolution photoacoustic imaging was used to monitor the effects of the treatments 2- and 24-hs post-administration. Histological examination provided metrics of tumor vascularity and tumoral cell death, both of which were compared to photoacoustic-derived biomarkers. Photoacoustic metrics of oxygen saturation reveal a 20 % decrease in oxygenation within 24 h post-treatment. The spectral slope metric could separate the response of the nanobubble treatments from the microbubble counterparts. This study shows that histopathological assessment correlated well with photoacoustic biomarkers of treatment response.
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Affiliation(s)
- Eno Hysi
- Department of Physics, Ryerson University, Toronto, Canada
- Insitute for Biomedical Engineering, Science and Technology, St. Michael’s Hospital, Toronto, Canada
| | - Muhannad N. Fadhel
- Department of Physics, Ryerson University, Toronto, Canada
- Insitute for Biomedical Engineering, Science and Technology, St. Michael’s Hospital, Toronto, Canada
| | - Yanjie Wang
- Department of Physics, Ryerson University, Toronto, Canada
- Insitute for Biomedical Engineering, Science and Technology, St. Michael’s Hospital, Toronto, Canada
| | - Joseph A. Sebastian
- Department of Physics, Ryerson University, Toronto, Canada
- Insitute for Biomedical Engineering, Science and Technology, St. Michael’s Hospital, Toronto, Canada
| | - Anoja Giles
- Deparment of Radiation Oncology, Sunnybrook Health Sciences Center, Toronto, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
| | - Gregory J. Czarnota
- Deparment of Radiation Oncology, Sunnybrook Health Sciences Center, Toronto, Canada
- Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Deparment of Medical Biophysics, University of Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Canada
| | - Agata A. Exner
- Department of Radiology, Case Western Reserve University, Cleveland, United States
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, United States
| | - Michael C. Kolios
- Department of Physics, Ryerson University, Toronto, Canada
- Insitute for Biomedical Engineering, Science and Technology, St. Michael’s Hospital, Toronto, Canada
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Xing E, Liu YH, Rong J, Liu W, Tang J, Liu J, Thakor N, Hong M. Time delay effect in a microchip pulse laser for the nonlinear photoacoustic signal enhancement. OPTICS EXPRESS 2020; 28:23154-23163. [PMID: 32752316 DOI: 10.1364/oe.397727] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/07/2020] [Indexed: 06/11/2023]
Abstract
The Grüneisen relaxation effect has been successfully employed to improve the photoacoustic (PA) imaging contrast. However, complex system design and cost hinder the progress from benchside to bedside, since an additional pre-heating laser source needs to be coupled into the original light path and synchronized with other equipment for conducting the nonlinear effect. To overcome the limitation, we propose a time delay heating PA imaging (TDH-PAI) method based on the time delay effect in a passively Q-switched laser. Experimentally, only one single microchip pulse laser is built and utilized for the nonlinear PA signal enhancement without additional components. The 808 nm pump pulse of the laser diode and the excited 1064 nm pulse are respectively used for pre-heating and acquiring PA signals. The heating effect is optimized by adjusting the input parameters and an enhancement of more than 30% in PA signals is achieved. TDH-PAI reduces the cost and complexity of the nonlinear PA system, which provides an efficient way for achieving a high-contrast PA imaging.
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Hysi E, He X, Fadhel MN, Zhang T, Krizova A, Ordon M, Farcas M, Pace KT, Mintsopoulos V, Lee WL, Kolios MC, Yuen DA. Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality. JCI Insight 2020; 5:136995. [PMID: 32298239 DOI: 10.1172/jci.insight.136995] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Roughly 10% of the world's population has chronic kidney disease (CKD). In its advanced stages, CKD greatly increases the risk of hospitalization and death. Although kidney transplantation has revolutionized the care of advanced CKD, clinicians have limited ways of assessing donor kidney quality. Thus, optimal donor kidney-recipient matching cannot be performed, meaning that some patients receive damaged kidneys that function poorly. Fibrosis is a form of chronic damage often present in donor kidneys, and it is an important predictor of future renal function. Currently, no safe, easy-to-perform technique exists that accurately quantifies renal fibrosis. We describe a potentially novel photoacoustic (PA) imaging technique that directly images collagen, the principal component of fibrotic tissue. PA imaging noninvasively quantifies whole kidney fibrotic burden in mice, and cortical fibrosis in pig and human kidneys, with outstanding accuracy and speed. Remarkably, 3-dimensional PA imaging exhibited sufficiently high resolution to capture intrarenal variations in collagen content. We further show that PA imaging can be performed in a setting that mimics human kidney transplantation, suggesting the potential for rapid clinical translation. Taken together, our data suggest that PA collagen imaging is a major advance in fibrosis quantification that could have widespread preclinical and clinical impact.
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Affiliation(s)
- Eno Hysi
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Xiaolin He
- Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.,Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
| | - Muhannad N Fadhel
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Tianzhou Zhang
- Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
| | - Adriana Krizova
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada
| | - Michael Ordon
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Monica Farcas
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Kenneth T Pace
- Keenan Research Centre for Biomedical Science and.,Department of Laboratory Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.,Division of Urology, Department of Surgery, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Ontario, Canada
| | - Victoria Mintsopoulos
- Keenan Research Centre for Biomedical Science and.,Interdepartmental Division of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Warren L Lee
- Keenan Research Centre for Biomedical Science and.,Interdepartmental Division of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Michael C Kolios
- Department of Physics, Ryerson University, Toronto, Canada.,Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada
| | - Darren A Yuen
- Institute for Biomedical Engineering, Science and Technology (iBEST), a partnership between Ryerson University and St. Michael's Hospital, Toronto, Canada.,Division of Nephrology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto and University of Toronto, Toronto, Canada.,Keenan Research Centre for Biomedical Science and
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