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Salvas JP, Leyba KA, Schepers LE, Paiyabhroma N, Goergen CJ, Sicard P. Neurovascular Hypoxia Trajectories Assessed by Photoacoustic Imaging in a Murine Model of Cardiac Arrest and Resuscitation. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:1661-1670. [PMID: 37043326 DOI: 10.1109/tuffc.2023.3265800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Cardiac arrest is a common cause of death annually mainly due to postcardiac arrest syndrome that leads to multiple organ global hypoxia and dysfunction after resuscitation. The ability to quantify vasculature changes and tissue oxygenation is crucial to adapt patient treatment in order to minimize major outcomes after resuscitation. For the first time, we applied high-resolution ultrasound associated with photoacoustic imaging (PAI) to track neurovascular oxygenation and cardiac function trajectories in a murine model of cardiac arrest and resuscitation. We report the preservation of brain oxygenation is greater compared to that in peripheral tissues during the arrest. Furthermore, distinct patterns of cerebral oxygen decay may relate to the support of vital brain functions. In addition, we followed trajectories of cerebral perfusion and cardiac function longitudinally after induced cardiac arrest and resuscitation. Volumetric cerebral oxygen saturation (sO2) decreased 24 h postarrest, but these levels rebounded at one week. However, systolic and diastolic cardiac dysfunction persisted throughout and correlated with cerebral hypoxia. Pathophysiologic biomarker trends, identified via cerebral PAI in preclinical models, could provide new insights into understanding the pathophysiology of cardiac arrest and resuscitation.
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2
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Karlas A, Fasoula NA, Kallmayer M, Schäffer C, Angelis G, Katsouli N, Reidl M, Duelmer F, Al Adem K, Hadjileontiadis L, Eckstein HH, Ntziachristos V. Optoacoustic biomarkers of lipids, hemorrhage and inflammation in carotid atherosclerosis. Front Cardiovasc Med 2023; 10:1210032. [PMID: 38028502 PMCID: PMC10666780 DOI: 10.3389/fcvm.2023.1210032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Imaging plays a critical role in exploring the pathophysiology and enabling the diagnostics and therapy assessment in carotid artery disease. Ultrasonography, computed tomography, magnetic resonance imaging and nuclear medicine techniques have been used to extract of known characteristics of plaque vulnerability, such as inflammation, intraplaque hemorrhage and high lipid content. Despite the plethora of available techniques, there is still a need for new modalities to better characterize the plaque and provide novel biomarkers that might help to detect the vulnerable plaque early enough and before a stroke occurs. Optoacoustics, by providing a multiscale characterization of the morphology and pathophysiology of the plaque could offer such an option. By visualizing endogenous (e.g., hemoglobin, lipids) and exogenous (e.g., injected dyes) chromophores, optoacoustic technologies have shown great capability in imaging lipids, hemoglobin and inflammation in different applications and settings. Herein, we provide an overview of the main optoacoustic systems and scales of detail that enable imaging of carotid plaques in vitro, in small animals and humans. Finally, we discuss the limitations of this novel set of techniques while investigating their potential to enable a deeper understanding of carotid plaque pathophysiology and possibly improve the diagnostics in future patients with carotid artery disease.
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Affiliation(s)
- Angelos Karlas
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Nikolina-Alexia Fasoula
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Michael Kallmayer
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Christoph Schäffer
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Georgios Angelis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Nikoletta Katsouli
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Mario Reidl
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Felix Duelmer
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Chair for Computer Aided Medical Procedures and Augmented Reality, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Kenana Al Adem
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi, United Arab Emirates
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Hans-Henning Eckstein
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
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3
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Noltes ME, Bader M, Metman MJH, Vonk J, Steinkamp PJ, Kukačka J, Westerlaan HE, Dierckx RAJO, van Hemel BM, Brouwers AH, van Dam GM, Jüstel D, Ntziachristos V, Kruijff S. Towards in vivo characterization of thyroid nodules suspicious for malignancy using multispectral optoacoustic tomography. Eur J Nucl Med Mol Imaging 2023; 50:2736-2750. [PMID: 37039901 PMCID: PMC10317911 DOI: 10.1007/s00259-023-06189-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/05/2023] [Indexed: 04/12/2023]
Abstract
PURPOSE Patient-tailored management of thyroid nodules requires improved risk of malignancy stratification by accurate preoperative nodule assessment, aiming to personalize decisions concerning diagnostics and treatment. Here, we perform an exploratory pilot study to identify possible patterns on multispectral optoacoustic tomography (MSOT) for thyroid malignancy stratification. For the first time, we directly correlate MSOT images with histopathology data on a detailed level. METHODS We use recently enhanced data processing and image reconstruction methods for MSOT to provide next-level image quality by means of improved spatial resolution and spectral contrast. We examine optoacoustic features in thyroid nodules associated with vascular patterns and correlate these directly with reference histopathology. RESULTS Our methods show the ability to resolve blood vessels with diameters of 250 μm at depths of up to 2 cm. The vessel diameters derived on MSOT showed an excellent correlation (R2-score of 0.9426) with the vessel diameters on histopathology. Subsequently, we identify features of malignancy observable in MSOT, such as intranodular microvascularity and extrathyroidal extension verified by histopathology. Despite these promising features in selected patients, we could not determine statistically relevant differences between benign and malignant thyroid nodules based on mean oxygen saturation in thyroid nodules. Thus, we illustrate general imaging artifacts of the whole field of optoacoustic imaging that reduce image fidelity and distort spectral contrast, which impedes quantification of chromophore presence based on mean concentrations. CONCLUSION We recommend examining optoacoustic features in addition to chromophore quantification to rank malignancy risk. We present optoacoustic images of thyroid nodules with the highest spatial resolution and spectral contrast to date, directly correlated to histopathology, pushing the clinical translation of MSOT.
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Affiliation(s)
- Milou E Noltes
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Maximilian Bader
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Madelon J H Metman
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jasper Vonk
- Department of Oral and Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Pieter J Steinkamp
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Jan Kukačka
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Henriette E Westerlaan
- Department of Radiology, University Medical Center Groningen, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bettien M van Hemel
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Adrienne H Brouwers
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Gooitzen M van Dam
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- AxelaRx/TRACER Europe BV, Groningen, the Netherlands
| | - Dominik Jüstel
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Schelto Kruijff
- Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
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Dimaridis I, Sridharan P, Ntziachristos V, Karlas A, Hadjileontiadis L. Image Quality Improvement Techniques and Assessment Adequacy in Clinical Optoacoustic Imaging: A Systematic Review. BIOSENSORS 2022; 12:901. [PMID: 36291038 PMCID: PMC9599915 DOI: 10.3390/bios12100901] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/09/2022] [Accepted: 09/17/2022] [Indexed: 06/16/2023]
Abstract
Optoacoustic imaging relies on the detection of optically induced acoustic waves to offer new possibilities in morphological and functional imaging. As the modality matures towards clinical application, research efforts aim to address multifactorial limitations that negatively impact the resulting image quality. In an endeavor to obtain a clear view on the limitations and their effects, as well as the status of this progressive refinement process, we conduct an extensive search for optoacoustic image quality improvement approaches that have been evaluated with humans in vivo, thus focusing on clinically relevant outcomes. We query six databases (PubMed, Scopus, Web of Science, IEEE Xplore, ACM Digital Library, and Google Scholar) for articles published from 1 January 2010 to 31 October 2021, and identify 45 relevant research works through a systematic screening process. We review the identified approaches, describing their primary objectives, targeted limitations, and key technical implementation details. Moreover, considering comprehensive and objective quality assessment as an essential prerequisite for the adoption of such approaches in clinical practice, we subject 36 of the 45 papers to a further in-depth analysis of the reported quality evaluation procedures, and elicit a set of criteria with the intent to capture key evaluation aspects. Through a comparative criteria-wise rating process, we seek research efforts that exhibit excellence in quality assessment of their proposed methods, and discuss features that distinguish them from works with similar objectives. Additionally, informed by the rating results, we highlight areas with improvement potential, and extract recommendations for designing quality assessment pipelines capable of providing rich evidence.
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Affiliation(s)
- Ioannis Dimaridis
- Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Patmaa Sridharan
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 80992 Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
| | - Angelos Karlas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 81675 Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, 80636 Munich, Germany
- Clinic for Vascular and Endovascular Surgery, Klinikum rechts der Isar, 81675 Munich, Germany
| | - Leontios Hadjileontiadis
- Department of Biomedical Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Healthcare Engineering Innovation Center (HEIC), Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Signal Processing and Biomedical Technology Unit, Telecommunications Laboratory, Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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5
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Mirg S, Turner KL, Chen H, Drew PJ, Kothapalli SR. Photoacoustic imaging for microcirculation. Microcirculation 2022; 29:e12776. [PMID: 35793421 PMCID: PMC9870710 DOI: 10.1111/micc.12776] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 06/13/2022] [Accepted: 06/28/2022] [Indexed: 01/26/2023]
Abstract
Microcirculation facilitates the blood-tissue exchange of nutrients and regulates blood perfusion. It is, therefore, essential in maintaining tissue health. Aberrations in microcirculation are potentially indicative of underlying cardiovascular and metabolic pathologies. Thus, quantitative information about it is of great clinical relevance. Photoacoustic imaging (PAI) is a capable technique that relies on the generation of imaging contrast via the absorption of light and can image at micron-scale resolution. PAI is especially desirable to map microvasculature as hemoglobin strongly absorbs light and can generate a photoacoustic signal. This paper reviews the current state of the art for imaging microvascular networks using photoacoustic imaging. We further describe how quantitative information about blood dynamics such as the total hemoglobin concentration, oxygen saturation, and blood flow rate is obtained using PAI. We also discuss its importance in understanding key pathophysiological processes in neurovascular, cardiovascular, ophthalmic, and cancer research fields. We then discuss the current challenges and limitations of PAI and the approaches that can help overcome these limitations. Finally, we provide the reader with an overview of future trends in the field of PAI for imaging microcirculation.
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Affiliation(s)
- Shubham Mirg
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
| | - Kevin L. Turner
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA
| | - Haoyang Chen
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA,Center for Neural Engineering, Pennsylvania State University, University Park, PA 16802, USA
| | - Patrick J. Drew
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA,Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA,Department of Neurosurgery, Pennsylvania State University, University Park, PA 16802, USA,Center for Neural Engineering, Pennsylvania State University, University Park, PA 16802, USA
| | - Sri-Rajasekhar Kothapalli
- Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA,Penn State Cancer Institute, Pennsylvania State University, Hershey, PA 17033, USA,Graduate Program in Acoustics, Pennsylvania State University, University Park, PA 16802, USA,Center for Neural Engineering, Pennsylvania State University, University Park, PA 16802, USA,Corresponding author: Sri-Rajasekhar Kothapalli, 325 CBE Building, State College, PA, 16802, USA,
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6
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Muhammad M, Prakash J, Liapis E, Ntziachristos V, Jüstel D. Weighted model-based optoacoustic reconstruction for partial-view geometries. JOURNAL OF BIOPHOTONICS 2022; 15:e202100334. [PMID: 35133073 DOI: 10.1002/jbio.202100334] [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: 10/29/2021] [Revised: 01/22/2022] [Accepted: 02/07/2022] [Indexed: 06/14/2023]
Abstract
Acoustic heterogeneities in biological samples are known to cause artifacts in tomographic optoacoustic (photoacoustic) image reconstruction. A statistical weighted model-based reconstruction approach was previously introduced to mitigate such artifacts. However, this approach does not reliably provide high-quality reconstructions for partial-view imaging systems, which are common in preclinical and clinical optoacoustics. In this article, the capability of the weighted model-based algorithm is extended to generate optoacoustic reconstructions with less distortions for partial-view geometry data. This is achieved by manipulating the weighting scheme based on the detector geometry. Using partial-view optoacoustic tomography data from a tissue-mimicking phantom containing a strong acoustic reflector, tumors grafted onto mice, and a mouse brain with intact skull, the proposed partial-view-corrected weighted model-based algorithm is shown to mitigate reflection artifacts in reconstructed images without distorting structures or boundaries, compared with both conventional model-based and the weighted model-based algorithms. It is also demonstrated that the partial-view-corrected weighted model-based algorithm has the additional advantage of suppressing streaking artifacts due to the partial-view geometry itself in the presence of a very strong optoacoustic chromophore. Due to its enhanced performance, the partial-view-corrected weighted model-based algorithm may prove useful for improving the quality of partial-view multispectral optoacoustic tomography, leading to enhanced visualization of functional parameters such as tissue oxygenation.
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Affiliation(s)
- Marwan Muhammad
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Jaya Prakash
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Evangelos Liapis
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
| | - Vasilis Ntziachristos
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, Munich, Germany
| | - Dominik Jüstel
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Biological Imaging at the Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
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7
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Kukačka J, Metz S, Dehner C, Muckenhuber A, Paul-Yuan K, Karlas A, Fallenberg EM, Rummeny E, Jüstel D, Ntziachristos V. Image processing improvements afford second-generation handheld optoacoustic imaging of breast cancer patients. PHOTOACOUSTICS 2022; 26:100343. [PMID: 35308306 PMCID: PMC8931444 DOI: 10.1016/j.pacs.2022.100343] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND Since the initial breast transillumination almost a century ago, breast cancer imaging using light has been considered in different implementations aiming to improve diagnostics, minimize the number of available biopsies, or monitor treatment. However, due to strong photon scattering, conventional optical imaging yields low resolution images, challenging quantification and interpretation. Optoacoustic imaging addresses the scattering limitation and yields high-resolution visualization of optical contrast, offering great potential value for breast cancer imaging. Nevertheless, the image quality of experimental systems remains limited due to a number of factors, including signal attenuation with depth and partial view angle and motion effects, particularly in multi-wavelength measurements. METHODS We developed data analytics methods to improve the accuracy of handheld optoacoustic breast cancer imaging, yielding second-generation optoacoustic imaging performance operating in tandem with ultrasonography. RESULTS We produced the most advanced images yet with handheld optoacoustic examinations of the human breast and breast cancer, in terms of resolution and contrast. Using these advances, we examined optoacoustic markers of malignancy, including vasculature abnormalities, hypoxia, and inflammation, on images obtained from breast cancer patients. CONCLUSIONS We achieved a new level of quality for optoacoustic images from a handheld examination of the human breast, advancing the diagnostic and theranostic potential of the hybrid optoacoustic-ultrasound (OPUS) examination over routine ultrasonography.
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Key Words
- 2G-OPUS, 2nd generation Multispectral Optoacoustic-Ultrasound Tomography
- Breast cancer
- CNR, Contrast-to-noise ratio
- DCIS, Ductal carcinoma in situ
- FOV, Field of view
- FWHM, Full width at half maximum
- ILC, Invasive lobular carcinoma
- Image quality enhancement
- In vivo imaging
- LCO, Lower cut-off
- MSOT, Multispectral Optoacoustic Tomography
- Multispectral optoacoustic tomography
- NAT, Neoadjuvant chemotherapy
- NST, No special type
- OA, Optoacoustics
- SoS, Speed-of-sound
- TIR, Total impulse response
- Tumor-associated microvasculature
- US, Ultrasound
- Ultrasound
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Affiliation(s)
- Jan Kukačka
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
| | - Stephan Metz
- Technical University of Munich, Department of Diagnostic and Interventional Radiology, Munich, Germany
| | - Christoph Dehner
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
| | - Alexander Muckenhuber
- Technical University of Munich, Institute of General and Surgical Pathology, Munich, Germany
| | - Korbinian Paul-Yuan
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
| | - Angelos Karlas
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
- Klinikum rechts der Isar, Clinic for Vascular and Endovascular Surgery, Munich, Germany
| | - Eva Maria Fallenberg
- Technical University of Munich, Department of Diagnostic and Interventional Radiology, Munich, Germany
| | - Ernst Rummeny
- Technical University of Munich, Department of Diagnostic and Interventional Radiology, Munich, Germany
| | - Dominik Jüstel
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Helmholtz Zentrum München (GmbH), Institute of Computational Biology, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
| | - Vasilis Ntziachristos
- Helmholtz Zentrum München (GmbH), Institute of Biological and Medical Imaging, Neuherberg, Germany
- Technical University of Munich, School of Medicine, Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), Munich, Germany
- Technical University of Munich, Munich Institute of Robotics and Machine Intelligence (MIRMI), Munich, Germany
- Correspondence to: Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Building 56, Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany.
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8
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Vonk J, Kukačka J, Steinkamp P, de Wit J, Voskuil F, Hooghiemstra W, Bader M, Jüstel D, Ntziachristos V, van Dam G, Witjes M. Multispectral optoacoustic tomography for in vivo detection of lymph node metastases in oral cancer patients using an EGFR-targeted contrast agent and intrinsic tissue contrast: A proof-of-concept study. PHOTOACOUSTICS 2022; 26:100362. [PMID: 35541024 PMCID: PMC9079001 DOI: 10.1016/j.pacs.2022.100362] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/07/2022] [Accepted: 04/27/2022] [Indexed: 05/09/2023]
Abstract
Oral cancer patients undergo diagnostic surgeries to detect occult lymph node metastases missed by preoperative structural imaging techniques. Reducing these invasive procedures that are associated with considerable morbidity, requires better preoperative detection. Multispectral optoacoustic tomography (MSOT) is a rapidly evolving imaging technique that may improve preoperative detection of (early-stage) lymph node metastases, enabling the identification of molecular changes that often precede structural changes in tumorigenesis. Here, we characterize the optoacoustic properties of cetuximab-800CW, a tumor-specific fluorescent tracer showing several photophysical properties that benefit optoacoustic signal generation. In this first clinical proof-of-concept study, we explore its use as optoacoustic to differentiate between malignant and benign lymph nodes. We characterize the appearance of malignant lymph nodes and show differences in the distribution of intrinsic chromophores compared to benign lymph nodes. In addition, we suggest several approaches to improve the efficiency of follow-up studies.
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Affiliation(s)
- J. Vonk
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, the Netherlands
| | - J. Kukačka
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - P.J. Steinkamp
- Department of Surgery, University of Groningen, University Medical Center Groningen, the Netherlands
| | - J.G. de Wit
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, the Netherlands
| | - F.J. Voskuil
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, the Netherlands
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, the Netherlands
| | - W.T.R. Hooghiemstra
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - M. Bader
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - D. Jüstel
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - V. Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - G.M. van Dam
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- AxelaRx / TRACER B.V., Groningen, the Netherlands
| | - M.J.H. Witjes
- Department of Oral & Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, the Netherlands
- Correspondence to: Department of Oral & Maxillofacial Surgery, University Medical Center Groningen, the Netherlands.
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Pandey PK, Wang S, Aggrawal HO, Bjegovic K, Boucher S, Xiang L. Model-Based X-Ray-Induced Acoustic Computed Tomography. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2021; 68:3560-3569. [PMID: 34310297 PMCID: PMC8739265 DOI: 10.1109/tuffc.2021.3098501] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
X-ray-induced acoustic computed tomography (XACT) provides X-ray absorption-based contrast with acoustic detection. For its clinical translation, XACT imaging often has a limited field of view. This can result in image artifacts and overall loss of quantification accuracy. In this article, we aim to demonstrate model-based XACT image reconstruction to address these problems. An efficient matrix-free implementation of the regularized LSQR (MF-LSQR)-based minimization scheme and a noniterative model back-projection (MBP) scheme for computing XACT reconstructions have been demonstrated in this article. The proposed algorithms have been numerically validated and then used to perform reconstructions from experimental measurements obtained from an XACT setup. While the commonly used back-projection (BP) algorithm produces limited-view and noisy artifacts in the region of interest (ROI), model-based LSQR minimization overcomes these issues. The model-based algorithms also reduce the ring artifacts caused due to the nonuniformity response of the multichannel data acquisition. Using the model-based reconstruction algorithms, we are able to obtain reasonable XACT reconstructions for acoustic measurements of up to 120° view. Although the MBP is more efficient than the model-based LSQR algorithm, it provides only the structural information of the ROI. Overall, it has been demonstrated that the model-based image reconstruction yields better image quality for XACT than the standard BP. Moreover, the combination of model-based image reconstruction with different regularization methods can solve the limited-view problem for XACT imaging (in many realistic cases where the full-view dataset is unavailable), and hence pave the way for future clinical translation.
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Wu M, Awasthi N, Rad NM, Pluim JPW, Lopata RGP. Advanced Ultrasound and Photoacoustic Imaging in Cardiology. SENSORS (BASEL, SWITZERLAND) 2021; 21:7947. [PMID: 34883951 PMCID: PMC8659598 DOI: 10.3390/s21237947] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/23/2021] [Accepted: 11/26/2021] [Indexed: 12/26/2022]
Abstract
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective management and treatment of CVDs highly relies on accurate diagnosis of the disease. As the most common imaging technique for clinical diagnosis of the CVDs, US imaging has been intensively explored. Especially with the introduction of deep learning (DL) techniques, US imaging has advanced tremendously in recent years. Photoacoustic imaging (PAI) is one of the most promising new imaging methods in addition to the existing clinical imaging methods. It can characterize different tissue compositions based on optical absorption contrast and thus can assess the functionality of the tissue. This paper reviews some major technological developments in both US (combined with deep learning techniques) and PA imaging in the application of diagnosis of CVDs.
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Affiliation(s)
- Min Wu
- Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands; (N.M.R.); (R.G.P.L.)
| | - Navchetan Awasthi
- Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands; (N.M.R.); (R.G.P.L.)
- Medical Image Analysis Group (IMAG/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands;
| | - Nastaran Mohammadian Rad
- Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands; (N.M.R.); (R.G.P.L.)
- Medical Image Analysis Group (IMAG/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands;
| | - Josien P. W. Pluim
- Medical Image Analysis Group (IMAG/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands;
| | - Richard G. P. Lopata
- Photoacoustics and Ultrasound Laboratory Eindhoven (PULS/e), Department of Biomedical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands; (N.M.R.); (R.G.P.L.)
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11
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Karlas A, Kallmayer M, Bariotakis M, Fasoula NA, Liapis E, Hyafil F, Pelisek J, Wildgruber M, Eckstein HH, Ntziachristos V. Multispectral optoacoustic tomography of lipid and hemoglobin contrast in human carotid atherosclerosis. PHOTOACOUSTICS 2021; 23:100283. [PMID: 34381689 PMCID: PMC8340302 DOI: 10.1016/j.pacs.2021.100283] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 07/07/2021] [Accepted: 07/08/2021] [Indexed: 05/09/2023]
Abstract
Several imaging techniques aim at identifying features of carotid plaque instability but come with limitations, such as the use of contrast agents, long examination times and poor portability. Multispectral optoacoustic tomography (MSOT) employs light and sound to resolve lipid and hemoglobin content, both features associated with plaque instability, in a label-free, fast and highly portable way. Herein, 5 patients with carotid atherosclerosis, 5 healthy volunteers and 2 excised plaques, were scanned with handheld MSOT. Spectral unmixing allowed visualization of lipid and hemoglobin content within three ROIs: whole arterial cross-section, plaque and arterial lumen. Calculation of the fat-blood-ratio (FBR) value within the ROIs enabled the differentiation between patients and healthy volunteers (P = 0.001) and between plaque and lumen in patients (P = 0.04). Our results introduce MSOT as a tool for molecular imaging of human carotid atherosclerosis and open new possibilities for research and clinical assessment of carotid plaques.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Michael Kallmayer
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Michael Bariotakis
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Nikolina-Alexia Fasoula
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Evangelos Liapis
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
| | - Fabien Hyafil
- INSERM U1148, Laboratory for Vascular Translational Science (LVTS), DHU FIRE, University de Paris, Paris, France
- Department of Nuclear Medicine, Bichat University Hospital, Assistance-Publique-Hôpitaux de Paris, Paris, France
| | - Jaroslav Pelisek
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- Department of Vascular Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Hans-Henning Eckstein
- Clinic for Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Helmholtz Zentrum München, Institute of Biological and Medical Imaging, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Corresponding author at: Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
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Steinkamp PJ, Vonk J, Huisman LA, Meersma GJ, Diercks GFH, Hillebrands JL, Nagengast WB, Zeebregts CJ, Slart RHJA, Boersma HH, van Dam GM. VEGF-Targeted Multispectral Optoacoustic Tomography and Fluorescence Molecular Imaging in Human Carotid Atherosclerotic Plaques. Diagnostics (Basel) 2021; 11:diagnostics11071227. [PMID: 34359310 PMCID: PMC8305003 DOI: 10.3390/diagnostics11071227] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/30/2021] [Accepted: 07/05/2021] [Indexed: 12/15/2022] Open
Abstract
Vulnerable atherosclerotic carotid plaques are prone to rupture, resulting in ischemic strokes. In contrast to radiological imaging techniques, molecular imaging techniques have the potential to assess plaque vulnerability by visualizing diseases-specific biomarkers. A risk factor for rupture is intra-plaque neovascularization, which is characterized by overexpression of vascular endothelial growth factor-A (VEGF-A). Here, we study if administration of bevacizumab-800CW, a near-infrared tracer targeting VEGF-A, is safe and if molecular assessment of atherosclerotic carotid plaques in vivo is possible using multispectral optoacoustic tomography (MSOT). Healthy volunteers and patients with symptomatic carotid artery stenosis scheduled for carotid artery endarterectomy were imaged with MSOT. Secondly, patients were imaged two days after intravenous administration of 4.5 bevacizumab-800CW. Ex vivo fluorescence molecular imaging of the surgically removed plaque specimen was performed and correlated with histopathology. In this first-in-human MSOT and fluorescence molecular imaging study, we show that administration of 4.5 mg bevacizumab-800CW appeared to be safe in five patients and accumulated in the carotid atherosclerotic plaque. Although we could visualize the carotid bifurcation area in all subjects using MSOT, bevacizumab-800CW-resolved signal could not be detected with MSOT in the patients. Future studies should evaluate tracer safety, higher doses of bevacizumab-800CW or develop dedicated contrast agents for carotid atherosclerotic plaque assessment using MSOT.
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Affiliation(s)
- Pieter J. Steinkamp
- Department of Surgery, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (P.J.S.); (L.A.H.); (C.J.Z.)
| | - Jasper Vonk
- Department of Oral & Maxillofacial Surgery, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Lydian A. Huisman
- Department of Surgery, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (P.J.S.); (L.A.H.); (C.J.Z.)
| | - Gert-Jan Meersma
- Department of Pathology & Medical Biology, Pathology Division, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (G.-J.M.); (G.F.H.D.); (J.-L.H.)
| | - Gilles F. H. Diercks
- Department of Pathology & Medical Biology, Pathology Division, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (G.-J.M.); (G.F.H.D.); (J.-L.H.)
| | - Jan-Luuk Hillebrands
- Department of Pathology & Medical Biology, Pathology Division, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (G.-J.M.); (G.F.H.D.); (J.-L.H.)
| | - Wouter B. Nagengast
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands;
| | - Clark J. Zeebregts
- Department of Surgery, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (P.J.S.); (L.A.H.); (C.J.Z.)
| | - Riemer H. J. A. Slart
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (R.H.J.A.S.); (H.H.B.)
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, 7522 ND Enschede, The Netherlands
| | - Hendrikus H. Boersma
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (R.H.J.A.S.); (H.H.B.)
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
| | - Gooitzen M. van Dam
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands; (R.H.J.A.S.); (H.H.B.)
- AxelaRx/TRACER BV, 9700 RB Groningen, The Netherlands
- Correspondence: ; Tel.: +31-50-361-12283; Fax: +31-50-361-4873
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Karlas A, Pleitez MA, Aguirre J, Ntziachristos V. Optoacoustic imaging in endocrinology and metabolism. Nat Rev Endocrinol 2021; 17:323-335. [PMID: 33875856 DOI: 10.1038/s41574-021-00482-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/19/2021] [Indexed: 02/02/2023]
Abstract
Imaging is an essential tool in research, diagnostics and the management of endocrine disorders. Ultrasonography, nuclear medicine techniques, MRI, CT and optical methods are already used for applications in endocrinology. Optoacoustic imaging, also termed photoacoustic imaging, is emerging as a method for visualizing endocrine physiology and disease at different scales of detail: microscopic, mesoscopic and macroscopic. Optoacoustic contrast arises from endogenous light absorbers, such as oxygenated and deoxygenated haemoglobin, lipids and water, or exogenous contrast agents, and reveals tissue vasculature, perfusion, oxygenation, metabolic activity and inflammation. The development of high-performance optoacoustic scanners for use in humans has given rise to a variety of clinical investigations, which complement the use of the technology in preclinical research. Here, we review key progress with optoacoustic imaging technology as it relates to applications in endocrinology; for example, to visualize thyroid morphology and function, and the microvasculature in diabetes mellitus or adipose tissue metabolism, with particular focus on multispectral optoacoustic tomography and raster-scan optoacoustic mesoscopy. We explain the merits of optoacoustic microscopy and focus on mid-infrared optoacoustic microscopy, which enables label-free imaging of metabolites in cells and tissues. We showcase current optoacoustic applications within endocrinology and discuss the potential of these technologies to advance research and clinical practice.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
- Department of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Munich Partner Site, German Center for Cardiovascular Research (DZHK), Munich, Germany
| | - Miguel A Pleitez
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Juan Aguirre
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Center for Translational Cancer Research (TranslaTUM), Technical University of Munich, Munich, Germany.
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
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Kim H, Lee H, Kim H, Chang JH. Elimination of Nontargeted Photoacoustic Signals for Combined Photoacoustic and Ultrasound Imaging. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2021; 68:1593-1604. [PMID: 33259296 DOI: 10.1109/tuffc.2020.3041634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
As a molecular imaging modality, photoacoustic (PA) imaging has been in the spotlight because it can provide an optical contrast image of physiological information and a relatively deep imaging depth. However, its sensitivity is limited despite the use of exogenous contrast agents due to the background PA signals generated from nontargeted absorbers, such as blood and boundaries between different biological tissues. In addition, clutter artifacts generated in both in-plane and out-of-plane imaging region degrade the sensitivity of PA imaging. We propose a method to eliminate the nontargeted PA signals. For this study, we used a dual-modal ultrasound (US)-PA contrast agent that is capable of generating both the backscattered US and PA signals in response to the transmitted US and irradiated light, respectively. The US images of the contrast agents are used to construct a masking image that contains the location information about the target site and is applied to the PA image acquired after contrast agent injection. In vitro and in vivo experimental results demonstrated that the masking image constructed using the US images makes it possible to completely remove nontargeted PA signals. The proposed method can be used to enhance the clear visualization of the target area in PA images.
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Fasoula NA, Karlas A, Kallmayer M, Milik AB, Pelisek J, Eckstein HH, Klingenspor M, Ntziachristos V. Multicompartmental non-invasive sensing of postprandial lipemia in humans with multispectral optoacoustic tomography. Mol Metab 2021; 47:101184. [PMID: 33549846 PMCID: PMC7918675 DOI: 10.1016/j.molmet.2021.101184] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/01/2021] [Accepted: 02/01/2021] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE Postprandial lipid profiling (PLP), a risk indicator of cardiometabolic disease, is based on frequent blood sampling over several hours after a meal, an approach that is invasive and inconvenient. Non-invasive PLP may offer an alternative for disseminated human monitoring. Herein, we investigate the use of clinical multispectral optoacoustic tomography (MSOT) for non-invasive, label-free PLP via direct lipid-sensing in human vasculature and soft tissues. METHODS Four (n = 4) subjects (3 females and 1 male, age: 28 ± 7 years) were enrolled in the current pilot study. We longitudinally measured the lipid signals in arteries, veins, skeletal muscles, and adipose tissues of all participants at 30-min intervals for 6 h after the oral consumption of a high-fat meal. RESULTS Optoacoustic lipid-signal analysis showed on average a 63.4% intra-arterial increase at ~ 4 h postprandially, an 83.9% intra-venous increase at ~ 3 h, a 120.8% intra-muscular increase at ~ 3 h, and a 32.8% subcutaneous fat increase at ~ 4 h. CONCLUSION MSOT provides the potential to study lipid metabolism that could lead to novel diagnostics and prevention strategies by label-free, non-invasive detection of tissue biomarkers implicated in cardiometabolic diseases.
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Affiliation(s)
- Nikolina-Alexia Fasoula
- Technical University of Munich, School of Medicine, Chair of Biological Imaging, Germany; Helmholtz Zentrum München, Neuherberg, Institute of Biological and Medical Imaging, Germany
| | - Angelos Karlas
- Technical University of Munich, School of Medicine, Chair of Biological Imaging, Germany; Helmholtz Zentrum München, Neuherberg, Institute of Biological and Medical Imaging, Germany; Clinic of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Michael Kallmayer
- Clinic of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Anamaria Beatrice Milik
- Technical University of Munich, School of Medicine, Chair of Biological Imaging, Germany; Helmholtz Zentrum München, Neuherberg, Institute of Biological and Medical Imaging, Germany
| | - Jaroslav Pelisek
- Clinic of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Munich, Germany; Department of Vascular Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Hans-Henning Eckstein
- Clinic of Vascular and Endovascular Surgery, Klinikum rechts der Isar, Munich, Germany
| | - Martin Klingenspor
- Chair of Molecular Nutritional Medicine, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany; EKFZ-Else Kröner-Fresenius Zentrum for Nutritional Medicine, Technical University of Munich, Freising, Germany; ZIEL-Institute for Food &Health, Technical University of Munich, Freising, Germany
| | - Vasilis Ntziachristos
- Technical University of Munich, School of Medicine, Chair of Biological Imaging, Germany; Helmholtz Zentrum München, Neuherberg, Institute of Biological and Medical Imaging, Germany.
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16
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Huang Y, Omar M, Tian W, Lopez-Schier H, Westmeyer GG, Chmyrov A, Sergiadis G, Ntziachristos V. Noninvasive visualization of electrical conductivity in tissues at the micrometer scale. SCIENCE ADVANCES 2021; 7:eabd1505. [PMID: 33980478 PMCID: PMC8115913 DOI: 10.1126/sciadv.abd1505] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 03/23/2021] [Indexed: 06/12/2023]
Abstract
Despite its importance in regulating cellular or tissue function, electrical conductivity can only be visualized in tissue indirectly as voltage potentials using fluorescent techniques, or directly with radio waves. These either requires invasive procedures like genetic modification or suffers from limited resolution. Here, we introduce radio-frequency thermoacoustic mesoscopy (RThAM) for the noninvasive imaging of conductivity by exploiting the direct absorption of near-field ultrashort radio-frequency pulses to stimulate the emission of broadband ultrasound waves. Detection of ultrasound rather than radio waves enables micrometer-scale resolutions, over several millimeters of tissue depth. We confirm an imaging resolution of <30 μm in phantoms and demonstrate microscopic imaging of conductivity correlating to physical structures in 1- and 512-cell zebrafish embryos, as well as larvae. These results support RThAM as a promising method for high-resolution, label-free assessment of conductivity in tissues.
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Affiliation(s)
- Yuanhui Huang
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675 Munich, Germany
| | - Murad Omar
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675 Munich, Germany
| | - Weili Tian
- Research Unit Sensory Biology and Organogenesis, Helmholtz Zentrum München, D-85764 Neuherberg, Germany
| | - Hernán Lopez-Schier
- Research Unit Sensory Biology and Organogenesis, Helmholtz Zentrum München, D-85764 Neuherberg, Germany
| | - Gil Gregor Westmeyer
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Institute of Developmental Genetics (IDG), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
| | - Andriy Chmyrov
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675 Munich, Germany
| | - George Sergiadis
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675 Munich, Germany
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, 215163 Suzhou, China
| | - Vasilis Ntziachristos
- Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, D-85764 Neuherberg, Germany.
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, D-81675 Munich, Germany
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17
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Freijo C, Herraiz JL, Sanchez-Parcerisa D, Udias JM. Dictionary-based protoacoustic dose map imaging for proton range verification. PHOTOACOUSTICS 2021; 21:100240. [PMID: 33520652 PMCID: PMC7820918 DOI: 10.1016/j.pacs.2021.100240] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 02/07/2023]
Abstract
Proton radiotherapy has the potential to provide state-of-the-art dose conformality in the tumor area, reducing possible adverse effects on surrounding organs at risk. However, uncertainties in the exact location of the proton Bragg peak inside the patient prevent this technique from achieving full clinical potential. In this context, in vivo verification of the range of protons in patients is key to reduce uncertainty margins. Protoacoustic range verification employs acoustic pressure waves generated by protons due to the radio-induced thermoacoustic effect to reconstruct the dose deposited in a patient during proton therapy. In this paper, we propose to use the a priori knowledge of the shape of the proton dose distribution to create a dictionary with the expected ultrasonic signals at predetermined detector locations. Using this dictionary, the reconstruction of deposited dose is performed by matching pre-calculated dictionary acoustic signals with data acquired online during treatment. The dictionary method was evaluated on a single-field proton plan for a prostate cancer patient. Dose calculation was performed with the open-source treatment planning system matRad, while acoustic wave propagation was carried out with k-Wave. We studied the ability of the proposed dictionary method to detect range variations caused by anatomical changes in tissue density, and alterations of lateral and longitudinal beam position. Our results show that the dictionary-based protoacoustic method was able to identify the changes in range originated by all the alterations introduced, with an average accuracy of 1.4 mm. This procedure could be used for in vivo verification, comparing the measured signals with the precalculated dictionary.
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Affiliation(s)
- Clara Freijo
- Nuclear Physics Group, EMFTEL and IPARCOS, Faculty of Physical Sciences, University Complutense of Madrid, CEI Moncloa, 28040 Madrid, Spain
- Corresponding author.
| | - Joaquin L. Herraiz
- Nuclear Physics Group, EMFTEL and IPARCOS, Faculty of Physical Sciences, University Complutense of Madrid, CEI Moncloa, 28040 Madrid, Spain
- Health Research Institute of the Hospital Clinico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Daniel Sanchez-Parcerisa
- Nuclear Physics Group, EMFTEL and IPARCOS, Faculty of Physical Sciences, University Complutense of Madrid, CEI Moncloa, 28040 Madrid, Spain
- Health Research Institute of the Hospital Clinico San Carlos (IdISSC), 28040 Madrid, Spain
- Sedecal, Molecular Imaging, 28119, Algete, Madrid, Spain
| | - José Manuel Udias
- Nuclear Physics Group, EMFTEL and IPARCOS, Faculty of Physical Sciences, University Complutense of Madrid, CEI Moncloa, 28040 Madrid, Spain
- Health Research Institute of the Hospital Clinico San Carlos (IdISSC), 28040 Madrid, Spain
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Karlas A, Masthoff M, Kallmayer M, Helfen A, Bariotakis M, Fasoula NA, Schäfers M, Seidensticker M, Eckstein HH, Ntziachristos V, Wildgruber M. Multispectral optoacoustic tomography of peripheral arterial disease based on muscle hemoglobin gradients-a pilot clinical study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:36. [PMID: 33553329 PMCID: PMC7859778 DOI: 10.21037/atm-20-3321] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Current imaging assessment of peripheral artery disease (PAD) relies on anatomical cross-sectional visualizations of the affected arteries. Multispectral optoacoustic tomography (MSOT) is a novel molecular imaging technique that provides direct and label-free visualizations of soft tissue perfusion and oxygenation. Methods MSOT was prospectively assessed in a pilot trial in healthy volunteers (group n1=4, mean age 31, 50% male and group n3=4, mean age 37.3, 75% male) and patients with intermittent claudication (group n2=4, mean age 72, 75% male, PAD stage IIb). We conducted cuff-induced ischemia (group n1) and resting state measurements (groups n2 and n3) over the calf region. Spatially resolved mapping of oxygenated (HbO2), deoxygenated (Hb) and total (THb) hemoglobin, as well as oxygen saturation (SO2), were measured via hand-held hybrid MSOT-Ultrasound based purely on hemoglobin contrast. Results Calf measurements in healthy volunteers revealed distinct dynamics for HbO2, Hb, THb and SO2 under cuff-induced ischemia. HbO2, THb and SO2 levels were significantly impaired in PAD patients compared to healthy volunteers (P<0.05 for all parameters). Revascularization led to significant improvements in HbO2 of the affected limb. Conclusions Clinical MSOT allows for non-invasive, label-free and real-time imaging of muscle oxygenation in health and disease with implications for diagnostics and therapy assessment in PAD.
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Affiliation(s)
- Angelos Karlas
- Chair of Biological Imaging, School of Medicine, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg, Germany.,Clinic of Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Max Masthoff
- Department for Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Michael Kallmayer
- Clinic of Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
| | - Anne Helfen
- Department for Clinical Radiology, University Hospital Münster, Münster, Germany
| | - Michail Bariotakis
- Chair of Biological Imaging, School of Medicine, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
| | - Nikolina Alexia Fasoula
- Chair of Biological Imaging, School of Medicine, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg, Germany
| | - Michael Schäfers
- Department for Nuclear Medicine and European Institute for Molecular Imaging, University Hospital Münster, Münster, Germany
| | - Max Seidensticker
- Department for Radiology, University Hospital, LMU Munich, München, Germany
| | - Hans-Henning Eckstein
- Clinic of Vascular and Endovascular Surgery, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, School of Medicine, Technical University of Munich, Munich, Germany.,Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Moritz Wildgruber
- Department for Clinical Radiology, University Hospital Münster, Münster, Germany.,Department for Radiology, University Hospital, LMU Munich, München, Germany
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Sabir S, Cho S, Heo D, Hyun Kim K, Cho S, Pua R. Data-specific mask-guided image reconstruction for diffuse optical tomography. APPLIED OPTICS 2020; 59:9328-9339. [PMID: 33104667 DOI: 10.1364/ao.401132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 09/07/2020] [Indexed: 06/11/2023]
Abstract
Conventional approaches in diffuse optical tomography (DOT) image reconstruction often address the ill-posed inverse problem via regularization with a constant penalty parameter, which uniformly smooths out the solution. In this study, we present a data-specific mask-guided scheme that incorporates a prior mask constraint into the image reconstruction framework. The prior mask was created from the DOT data itself by exploiting the multi-measurement vector formulation. We accordingly propose two methods to integrate the prior mask into the reconstruction process. First, as a soft prior by exploiting a spatially varying regularization. Second, as a hard prior by imposing a region-of-interest-limited reconstruction. Furthermore, the latter method iterates between discrete and continuous steps to update the mask and optical parameters, respectively. The proposed methods showed enhanced optical contrast accuracy, improved spatial resolution, and reduced noise level in DOT reconstructed images compared with the conventional approaches such as the modified Levenberg-Marquardt approach and the l1-regularization based sparse recovery approach.
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Zhai T, Wang C, Cui L, Du J, Zhou Z, Yang H, Yang S. Hollow Bimetallic Complex Nanoparticles for Trimodality Imaging and Photodynamic Therapy In Vivo. ACS APPLIED MATERIALS & INTERFACES 2020; 12:37470-37476. [PMID: 32814410 DOI: 10.1021/acsami.0c10131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Hollow nanoparticles have received an enormous amount of attention in the field of nanomedicine. Herein, water-soluble hollow bimetallic complex nanoparticles, holmium(III)/iridium(III) bimetallic complex nanoparticles (Ir-Ho HNPs), were fabricated via a coordination assembly. Owing to the special metal-to-ligand charge transfer (MLCT) and the heavy-atom effect of Ir(III) in an iridium complex, Ir-Ho HNPs exhibited an intense phosphorescence and the generation of singlet oxygen (1O2). With the long electron relaxation time and high magnetic moment of Ho(III), Ir-Ho HNPs presented a high longitudinal relaxivity (r2) value (160.0 mM-1 s-1at 7.0 T). Their unique hollow structure resulted in their strong and stable ultrasound signal in an aqueous solution. As a proof of concept, Ir-Ho HNPs have been developed for the phosphorescence imaging and photodynamic therapy for living cells, ultrasound imaging, and high-field magnetic resonance imaging in vivo. Our work opened up an avenue for novel application of an iridium complex in cancer theranostics.
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Affiliation(s)
- Tianli Zhai
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
| | - Chenchen Wang
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
| | - Lili Cui
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
| | - Jing Du
- Department of Ultrasound, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 201101 P. R China
| | - Zhiguo Zhou
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
| | - Hong Yang
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
| | - Shiping Yang
- The Key Laboratory of Resource Chemistry of Ministry of Education, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, P. R China
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