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Qureshi MM, Allam N, Im J, Kwon HS, Chung E, Vitkin IA. Advances in laser speckle imaging: From qualitative to quantitative hemodynamic assessment. JOURNAL OF BIOPHOTONICS 2024; 17:e202300126. [PMID: 37545037 DOI: 10.1002/jbio.202300126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 07/03/2023] [Accepted: 07/27/2023] [Indexed: 08/08/2023]
Abstract
Laser speckle imaging (LSI) techniques have emerged as a promising method for visualizing functional blood vessels and tissue perfusion by analyzing the speckle patterns generated by coherent light interacting with living biological tissue. These patterns carry important biophysical tissue information including blood flow dynamics. The noninvasive, label-free, and wide-field attributes along with relatively simple instrumental schematics make it an appealing imaging modality in preclinical and clinical applications. The review outlines the fundamentals of speckle physics and the three categories of LSI techniques based on their degree of quantification: qualitative, semi-quantitative and quantitative. Qualitative LSI produces microvascular maps by capturing speckle contrast variations between blood vessels containing moving red blood cells and the surrounding static tissue. Semi-quantitative techniques provide a more accurate analysis of blood flow dynamics by accounting for the effect of static scattering on spatiotemporal parameters. Quantitative LSI such as optical speckle image velocimetry provides quantitative flow velocity measurements, which is inspired by the particle image velocimetry in fluid mechanics. Additionally, discussions regarding the prospects of future innovations in LSI techniques for optimizing the vascular flow quantification with associated clinical outlook are presented.
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Affiliation(s)
- Muhammad Mohsin Qureshi
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Nader Allam
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Jeongmyo Im
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Hyuk-Sang Kwon
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Euiheon Chung
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - I Alex Vitkin
- Division of Biophysics and Bioimaging, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
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Lin Q, Choyke PL, Sato N. Visualizing vasculature and its response to therapy in the tumor microenvironment. Theranostics 2023; 13:5223-5246. [PMID: 37908739 PMCID: PMC10614675 DOI: 10.7150/thno.84947] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/30/2023] [Indexed: 11/02/2023] Open
Abstract
Tumor vasculature plays a critical role in the progression and metastasis of tumors, antitumor immunity, drug delivery, and resistance to therapies. The morphological and functional changes of tumor vasculature in response to therapy take place in a spatiotemporal-dependent manner, which can be predictive of treatment outcomes. Dynamic monitoring of intratumor vasculature contributes to an improved understanding of the mechanisms of action of specific therapies or reasons for treatment failure, leading to therapy optimization. There is a rich history of methods used to image the vasculature. This review describes recent advances in imaging technologies to visualize the tumor vasculature, with a focus on enhanced intravital imaging techniques and tumor window models. We summarize new insights on spatial-temporal vascular responses to various therapies, including changes in vascular perfusion and permeability and immune-vascular crosstalk, obtained from intravital imaging. Finally, we briefly discuss the clinical applications of intravital imaging techniques.
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Affiliation(s)
| | | | - Noriko Sato
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Bromberger L, Heise B, Felbermayer K, Leiss-Holzinger E, Ilicic K, Schmid TE, Bergmayr A, Etzelstorfer T, Geinitz H. Radiation-induced alterations in multi-layered, in-vitro skin models detected by optical coherence tomography and histological methods. PLoS One 2023; 18:e0281662. [PMID: 36862637 PMCID: PMC9980765 DOI: 10.1371/journal.pone.0281662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/28/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND Inflammatory skin reactions and skin alterations are still a potential side effect in radiation therapy (RT), which also need attention for patients' health care. METHOD In a pre-clinical study we consider alterations in irradiated in-vitro skin models of epidermal and dermal layers. Typical dose regimes in radiation therapy are applied for irradiation. For non-invasive imaging and characterization optical coherence tomography (OCT) is used. Histological staining method is additionally applied for comparison and discussion. RESULTS Structural features, such as keratinization, modifications in epidermal cell layer thickness and disorder in the layering-as indications for reactions to ionizing radiation and aging-could be observed by means of OCT and confirmed by histology. We were able to recognize known RT induced changes such as hyper-keratosis, acantholysis, and epidermal hyperplasia as well as disruption and/or demarcation of the dermo-epidermal junction. CONCLUSION The results may pave the way for OCT to be considered as a possible adjunctive tool to detect and monitor early skin inflammation and side effects of radiotherapy, thus supporting patient healthcare in the future.
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Affiliation(s)
- Luisa Bromberger
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Bettina Heise
- Institute for Mathematical Methods in Medicine and Data Based Modelling, Johannes Kepler University (JKU), Linz, Austria
- Research Center for Non-Destructive Testing (RECENDT)-GmbH, Linz, Austria
- * E-mail:
| | | | | | - Katarina Ilicic
- Department of Radiation Oncology, Klinikum rechts der Isar (MRI), TUM München, München, Germany
| | - Thomas Ernst Schmid
- Department of Radiation Oncology, Klinikum rechts der Isar (MRI), TUM München, München, Germany
| | - Alexandra Bergmayr
- Department of Pathology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Tanja Etzelstorfer
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
| | - Hans Geinitz
- Department of Radiation Oncology, Ordensklinikum Linz Barmherzige Schwestern (BHS), Linz, Austria
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Chavignon A, Hingot V, Orset C, Vivien D, Couture O. 3D transcranial ultrasound localization microscopy for discrimination between ischemic and hemorrhagic stroke in early phase. Sci Rep 2022; 12:14607. [PMID: 36028542 PMCID: PMC9418177 DOI: 10.1038/s41598-022-18025-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/03/2022] [Indexed: 11/17/2022] Open
Abstract
Early diagnosis is a critical part of the emergency care of cerebral hemorrhages and ischemia. A rapid and accurate diagnosis of strokes reduces the delays to appropriate treatments and a better functional recovery. Currently, CTscan and MRI are the gold standards with constraints of accessibility, availability, and possibly some contraindications. The development of Ultrasound Localization Microscopy (ULM) has enabled new perspectives to conventional transcranial ultrasound imaging with increased sensitivity, penetration depth, and resolution. The possibility of volumetric imaging has increased the field-of-view and provided a more precise description of the microvascularisation. In this study, rats (n = 9) were subjected to thromboembolic ischemic stroke or intracerebral hemorrhages prior to volumetric ULM at the early phases after onsets. Although the volumetric ULM performed in the early phase of ischemic stroke revealed a large hypoperfused area in the cortical area of the occluded artery, it showed a more diffused hypoperfusion in the hemorrhagic model. Respective computations of a Microvascular Diffusion Index highlighted different patterns of perfusion loss during the first 24 h of these two strokes’ subtypes. Our study provides the first proof that this methodology should allow early discrimination between ischemic and hemorrhagic stroke with a potential toward diagnosis and monitoring in clinic.
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Affiliation(s)
- Arthur Chavignon
- Sorbonne Université, UMR 7371 CNRS, Inserm U1146, Laboratoire d'Imagerie Biomédicale, 15 Rue de l'Ecole de Médecine, 75006, Paris, France.
| | - Vincent Hingot
- Sorbonne Université, UMR 7371 CNRS, Inserm U1146, Laboratoire d'Imagerie Biomédicale, 15 Rue de l'Ecole de Médecine, 75006, Paris, France
| | - Cyrille Orset
- UNICAEN, Inserm U1237, Etablissement Français du Sang, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Normandie University, Caen, France
| | - Denis Vivien
- UNICAEN, Inserm U1237, Etablissement Français du Sang, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Normandie University, Caen, France.,Department of Clinical Research, Caen-Normandie University Hospital, CHU Caen, Avenue de la Côte de Nacre, Caen, France
| | - Olivier Couture
- Sorbonne Université, UMR 7371 CNRS, Inserm U1146, Laboratoire d'Imagerie Biomédicale, 15 Rue de l'Ecole de Médecine, 75006, Paris, France
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Binary dose level classification of tumour microvascular response to radiotherapy using artificial intelligence analysis of optical coherence tomography images. Sci Rep 2022; 12:13995. [PMID: 35978040 PMCID: PMC9385745 DOI: 10.1038/s41598-022-18393-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 08/10/2022] [Indexed: 12/26/2022] Open
Abstract
The dominant consequence of irradiating biological systems is cellular damage, yet microvascular damage begins to assume an increasingly important role as the radiation dose levels increase. This is currently becoming more relevant in radiation medicine with its pivot towards higher-dose-per-fraction/fewer fractions treatment paradigm (e.g., stereotactic body radiotherapy (SBRT)). We have thus developed a 3D preclinical imaging platform based on speckle-variance optical coherence tomography (svOCT) for longitudinal monitoring of tumour microvascular radiation responses in vivo. Here we present an artificial intelligence (AI) approach to analyze the resultant microvascular data. In this initial study, we show that AI can successfully classify SBRT-relevant clinical radiation dose levels at multiple timepoints (t = 2–4 weeks) following irradiation (10 Gy and 30 Gy cohorts) based on induced changes in the detected microvascular networks. Practicality of the obtained results, challenges associated with modest number of animals, their successful mitigation via augmented data approaches, and advantages of using 3D deep learning methodologies, are discussed. Extension of this encouraging initial study to longitudinal AI-based time-series analysis for treatment outcome predictions at finer dose level gradations is envisioned.
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