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Fisher DG, Sharifi KA, Shah IM, Gorick CM, Breza VR, Debski AC, Hoch MR, Cruz T, Samuels JD, Sheehan JP, Schlesinger D, Moore D, Lukens JR, Miller GW, Tvrdik P, Price RJ. Focused Ultrasound Blood-Brain Barrier Opening Arrests the Growth and Formation of Cerebral Cavernous Malformations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.31.577810. [PMID: 38352349 PMCID: PMC10862920 DOI: 10.1101/2024.01.31.577810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
BACKGROUND Cerebral cavernous malformations (CCM) are vascular lesions within the central nervous system, consisting of dilated and hemorrhage-prone capillaries. CCMs can cause debilitating neurological symptoms, and surgical excision or stereotactic radiosurgery are the only current treatment options. Meanwhile, transient blood-brain barrier opening (BBBO) with focused ultrasound (FUS) and microbubbles is now understood to exert potentially beneficial bioeffects, such as stimulation of neurogenesis and clearance of amyloid-β. Here, we tested whether FUS BBBO could be deployed therapeutically to control CCM formation and progression in a clinically-representative murine model. METHODS CCMs were induced in mice by postnatal, endothelial-specific Krit1 ablation. FUS was applied for BBBO with fixed peak-negative pressures (PNPs; 0.2-0.6 MPa) or passive cavitation detection-modulated PNPs. Magnetic resonance imaging (MRI) was used to target FUS treatments, evaluate safety, and measure longitudinal changes in CCM growth after BBBO. RESULTS FUS BBBO elicited gadolinium accumulation primarily at the perilesional boundaries of CCMs, rather than lesion cores. Passive cavitation detection and gadolinium contrast enhancement were comparable in CCM and wild-type mice, indicating that Krit1 ablation does not confer differential sensitivity to FUS BBBO. Acutely, CCMs exposed to FUS BBBO remained structurally stable, with no signs of hemorrhage. Longitudinal MRI revealed that FUS BBBO halted the growth of 94% of CCMs treated in the study. At 1 month, FUS BBBO-treated lesions lost, on average, 9% of their pre-sonication volume. In contrast, non-sonicated control lesions grew to 670% of their initial volume. Lesion control with FUS BBBO was accompanied by a marked reduction in the area and mesenchymal appearance of Krit mutant endothelium. Strikingly, in mice receiving multiple BBBO treatments with fixed PNPs, de novo CCM formation was significantly reduced by 81%. Mock treatment plans on MRIs of patients with surgically inaccessible lesions revealed their lesions are amenable to FUS BBBO with current clinical technology. CONCLUSIONS Our results establish FUS BBBO as a novel, non-invasive modality that can safely arrest murine CCM growth and prevent their de novo formation. As an incisionless, MR image-guided therapy with the ability to target eloquent brain locations, FUS BBBO offers an unparalleled potential to revolutionize the therapeutic experience and enhance the accessibility of treatments for CCM patients.
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Affiliation(s)
- Delaney G Fisher
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Khadijeh A Sharifi
- Department of Neuroscience, University of Virginia, Charlottesville, VA
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA
| | - Ishaan M Shah
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Catherine M Gorick
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Victoria R Breza
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Anna C Debski
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Matthew R Hoch
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Tanya Cruz
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Joshua D Samuels
- Department of Neuroscience, University of Virginia, Charlottesville, VA
| | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA
| | - David Schlesinger
- Department of Radiation Oncology, University of Virginia Health System, Charlottesville, VA
| | - David Moore
- Focused Ultrasound Foundation, Charlottesville, VA
| | - John R Lukens
- Department of Neuroscience, University of Virginia, Charlottesville, VA
| | - G Wilson Miller
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
- Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA
| | - Petr Tvrdik
- Department of Neuroscience, University of Virginia, Charlottesville, VA
- Department of Neurological Surgery, University of Virginia Health System, Charlottesville, VA
| | - Richard J Price
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
- Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA
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Schoen S, Kilinc MS, Lee H, Guo Y, Degertekin FL, Woodworth GF, Arvanitis C. Towards controlled drug delivery in brain tumors with microbubble-enhanced focused ultrasound. Adv Drug Deliv Rev 2022; 180:114043. [PMID: 34801617 PMCID: PMC8724442 DOI: 10.1016/j.addr.2021.114043] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 09/27/2021] [Accepted: 11/04/2021] [Indexed: 02/06/2023]
Abstract
Brain tumors are particularly challenging malignancies, due to their location in a structurally and functionally distinct part of the human body - the central nervous system (CNS). The CNS is separated and protected by a unique system of brain and blood vessel cells which together prevent most bloodborne therapeutics from entering the brain tumor microenvironment (TME). Recently, great strides have been made through microbubble (MB) ultrasound contrast agents in conjunction with ultrasound energy to locally increase the permeability of brain vessels and modulate the brain TME. As we elaborate in this review, this physical method can effectively deliver a wide range of anticancer agents, including chemotherapeutics, antibodies, and nanoparticle drug conjugates across a range of preclinical brain tumors, including high grade glioma (glioblastoma), diffuse intrinsic pontine gliomas, and brain metastasis. Moreover, recent evidence suggests that this technology can promote the effective delivery of novel immunotherapeutic agents, including immune check-point inhibitors and chimeric antigen receptor T cells, among others. With early clinical studies demonstrating safety, and several Phase I/II trials testing the preclinical findings underway, this technology is making firm steps towards shaping the future treatments of primary and metastatic brain cancer. By elaborating on its key components, including ultrasound systems and MB technology, along with methods for closed-loop spatial and temporal control of MB activity, we highlight how this technology can be tuned to enable new, personalized treatment strategies for primary brain malignancies and brain metastases.
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Affiliation(s)
- Scott Schoen
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - M. Sait Kilinc
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Hohyun Lee
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Yutong Guo
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - F. Levent Degertekin
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Graeme F. Woodworth
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD 21201, USA,Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, College Park, MD 20742, USA,Fischell Department of Bioengineering A. James Clarke School of Engineering, University of Maryland
| | - Costas Arvanitis
- Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA,Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA
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Wright CJ, Haqshenas SR, Rothwell J, Saffari N. Unmyelinated Peripheral Nerves Can Be Stimulated in Vitro Using Pulsed Ultrasound. ULTRASOUND IN MEDICINE & BIOLOGY 2017; 43:2269-2283. [PMID: 28716433 DOI: 10.1016/j.ultrasmedbio.2017.05.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 04/28/2017] [Accepted: 05/02/2017] [Indexed: 06/07/2023]
Abstract
Appreciation for the medical and research potential of ultrasound neuromodulation is growing rapidly, with potential applications in non-invasive treatment of neurodegenerative disease and functional brain mapping spurring recent progress. However, little progress has been made in our understanding of the ultrasound-tissue interaction. The current study tackles this issue by measuring compound action potentials (CAPs) from an ex vivo crab walking leg nerve bundle and analysing the acoustic nature of successful stimuli using a passive cavitation detector (PCD). An unimpeded ultrasound path, new acoustic analysis techniques and simple biological targets are used to detect different modes of cavitation and narrow down the candidate biological effectors with high sensitivity. In the present case, the constituents of unmyelinated axonal tissue alone are found to be sufficient to generate de novo action potentials under ultrasound, the stimulation of which is significantly correlated to the presence of inertial cavitation and is never observed in its absence.
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Affiliation(s)
- Christopher J Wright
- Department of Mechanical Engineering, University College London, London, UK; University College London Institute of Neuroscience, London, UK.
| | - Seyyed R Haqshenas
- Department of Mechanical Engineering, University College London, London, UK
| | - John Rothwell
- University College London Institute of Neuroscience, London, UK
| | - Nader Saffari
- Department of Mechanical Engineering, University College London, London, UK
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Haworth KJ, Bader KB, Rich KT, Holland CK, Mast TD. Quantitative Frequency-Domain Passive Cavitation Imaging. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2017; 64:177-191. [PMID: 27992331 PMCID: PMC5344809 DOI: 10.1109/tuffc.2016.2620492] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Passive cavitation detection has been an instrumental technique for measuring cavitation dynamics, elucidating concomitant bioeffects, and guiding ultrasound therapies. Recently, techniques have been developed to create images of cavitation activity to provide investigators with a more complete set of information. These techniques use arrays to record and subsequently beamform received cavitation emissions, rather than processing emissions received on a single-element transducer. In this paper, the methods for performing frequency-domain delay, sum, and integrate passive imaging are outlined. The method can be applied to any passively acquired acoustic scattering or emissions, including cavitation emissions. To compare data across different systems, techniques for normalizing Fourier transformed data and converting the data to the acoustic energy received by the array are described. A discussion of hardware requirements and alternative imaging approaches is additionally outlined. Examples are provided in MATLAB.
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Lyka E, Coviello C, Kozick R, Coussios CC. Sum-of-harmonics method for improved narrowband and broadband signal quantification during passive monitoring of ultrasound therapies. THE JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 2016; 140:741. [PMID: 27475195 DOI: 10.1121/1.4958991] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Passive Acoustic Mapping (PAM) enables real-time monitoring of ultrasound therapies by beamforming acoustic emissions emanating from the ultrasound focus. Reconstruction of the narrowband or broadband acoustic emissions component enables mapping of different physical phenomena, with narrowband emissions arising from non-linear propagation and scattering, non-inertial cavitation or tissue boiling, and broadband (generally, of significantly lower amplitude) indicating inertial cavitation. Currently, accurate classification of the received signals based on pre-defined frequency-domain comb filters cannot be guaranteed because varying levels of leakage occur as a function of signal amplitude and the choice of windowing function. This work presents a time-domain parametric model aimed at enabling accurate estimation of the amplitude of time-varying narrowband components in the presence of broadband signals. Conversely, the method makes it possible to recover a weak broadband signal in the presence of a dominant harmonic or other narrowband component. Compared to conventional comb filtering, the proposed sum-of-harmonics method enables PAM of cavitation sources that better reflect their physical location and extent.
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Affiliation(s)
- Erasmia Lyka
- Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, United Kingdom
| | - Christian Coviello
- Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, United Kingdom
| | - Richard Kozick
- Department of Electrical and Computer Engineering, Bucknell University, Lewisburg, Pennsylvania 17837, USA
| | - Constantin-C Coussios
- Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, United Kingdom
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