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Song M, Sapozhnikov OA, Khokhlova VA, Khokhlova TD. Dynamic Mode Decomposition for Transient Cavitation Bubbles Imaging in Pulsed High-Intensity Focused Ultrasound Therapy. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2024; 71:596-606. [PMID: 38598407 PMCID: PMC11141145 DOI: 10.1109/tuffc.2024.3387351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Pulsed high-intensity focused ultrasound (pHIFU) can induce sparse de novo inertial cavitation without the introduction of exogenous contrast agents, promoting mild mechanical disruption in targeted tissue. Because the bubbles are small and rapidly dissolve after each HIFU pulse, mapping transient bubbles and obtaining real-time quantitative metrics correlated with tissue damage are challenging. Prior work introduced Bubble Doppler, an ultrafast power Doppler imaging method as a sensitive means to map cavitation bubbles. The main limitation of that method was its reliance on conventional wall filters used in Doppler imaging and its optimization for imaging blood flow rather than transient scatterers. This study explores Bubble Doppler enhancement using dynamic mode decomposition (DMD) of a matrix created from a Doppler ensemble for mapping and extracting the characteristics of transient cavitation bubbles. DMD was first tested in silico with a numerical dataset mimicking the spatiotemporal characteristics of backscattered signal from tissue and bubbles. The performance of DMD filter was compared to other widely used Doppler wall filter-singular value decomposition (SVD) and infinite impulse response (IIR) high-pass filter. DMD was then applied to an ex vivo tissue dataset where each HIFU pulse was immediately followed by a plane wave Doppler ensemble. In silico DMD outperformed SVD and IIR high-pass filter and ex vivo provided physically interpretable images of the modes associated with bubbles and their corresponding temporal decay rates. These DMD modes can be trackable over the duration of pHIFU treatment using k-means clustering method, resulting in quantitative indicators of treatment progression.
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Sun T, Li J, Zhou Y, Zeng C, Luo C, Luo X, Li H. Metal-Organic Framework-Mediated Synergistic Hypoxia-Activated Chemo-Immunotherapy Induced by High Intensity Focused Ultrasound for Enhanced Cancer Theranostics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2306338. [PMID: 38072817 DOI: 10.1002/smll.202306338] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/04/2023] [Indexed: 05/03/2024]
Abstract
High intensity focused ultrasound (HIFU) has attracted considerable attention as a noninvasive, efficient, and economic therapeutic modality for solid tumors. However, HIFU surgery has its intrinsic limitation in completely ablating tumors, leading to residual tumor tissue. Furthermore, the severely hypoxic environment ensuring after surgery can exacerbate the unrestricted proliferation and metabolism of residual tumor cells, leading to tumor recurrence and metastasis. To address these limitations, a versatile HIFU-specific metal-organic framework nanosystem (called ADMOFs) is developed by coordinating hypoxia-activated prodrug AQ4N, Mn2+, and DOX based on the postoperative response to changes in the tumor microenvironment. ADMOFs loaded with AQ4N/Mn2+ exhibited remarkable tumor-targeting behavior in vivo and enhanced photoacoustic/magnetic resonance imaging effects, enabling more accurate guidance for HIFU surgery. After surgery, the ADMOFs exploited the severely hypoxic tumor environment induced by HIFU, overcoming hypoxia-associated drug resistance, and inducing immunogenic cell death. Finally, it effectively inhibited tumor growth and eliminated lung metastasis. Transcriptome studies revealed that this strategy significantly up-regulated genes involved in apoptosis, cell cycle, and HIF-1 signaling pathway while downregulating genes related to tumor proliferation and metastasis. These findings suggest that combining hypoxia-activated chemo-immunotherapy with HIFU is a promising strategy for enhancing cancer theranostics.
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Affiliation(s)
- Tingyu Sun
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Jingnan Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Yinglin Zhou
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Chao Zeng
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Chengyan Luo
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Xirui Luo
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Huanan Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016, P. R. China
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Song M, Sapozhnikov OA, Khokhlova VA, Khokhlova TD. Dynamic Mode Decomposition for Transient Cavitation Bubbles Imaging in Pulsed High Intensity Focused Ultrasound Therapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582222. [PMID: 38464326 PMCID: PMC10925276 DOI: 10.1101/2024.02.26.582222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Pulsed high-intensity focused ultrasound (pHIFU) can induce sparse de novo inertial cavitation without the introduction of exogenous contrast agents, promoting mild mechanical disruption in targeted tissue. Because the bubbles are small and rapidly dissolve after each HIFU pulse, mapping transient bubbles and obtaining real-time quantitative metrics correlated to tissue damage are challenging. Prior work introduced Bubble Doppler, an ultrafast power Doppler imaging method as a sensitive means to map cavitation bubbles. The main limitation of that method was its reliance on conventional wall filters used in Doppler imaging and optimized for imaging blood flow rather than transient scatterers. This study explores Bubble Doppler enhancement using dynamic mode decomposition (DMD) of a matrix created from a Doppler ensemble for mapping and extracting the characteristics of transient cavitation bubbles. DMD was first tested in silico with a numerical dataset mimicking the spatiotemporal characteristics of backscattered signal from tissue and bubbles. The performance of DMD filter was compared to other widely used Doppler wall filters - singular value decomposition (SVD) and infinite impulse response (IIR) highpass filter. DMD was then applied to an ex vivo tissue dataset where each HIFU pulse was immediately followed by a plane wave Doppler ensemble. In silico DMD outperformed SVD and IIR high pass filter and ex vivo provided physically interpretable images of the modes associated with bubbles and their corresponding temporal decay rates. These DMD modes can be trackable over the duration of pHIFU treatment using k-means clustering method, resulting in quantitative indicators of treatment progression.
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Affiliation(s)
- Minho Song
- Department of Mechanical Engineering, University of Washington, Seattle, WA 98195 USA
| | - Oleg A Sapozhnikov
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, WA 98195 USA
- Physics Faculty, Moscow State University, 119991 Moscow, Russia
| | - Vera A Khokhlova
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, WA 98195 USA
- Physics Faculty, Moscow State University, 119991 Moscow, Russia
| | - Tatiana D Khokhlova
- Division of Gastroenterology, University of Washington School of Medicine, Seattle, WA 98195 USA
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De Maio A, Alfieri G, Mattone M, Ghanouni P, Napoli A. High-Intensity Focused Ultrasound Surgery for Tumor Ablation: A Review of Current Applications. Radiol Imaging Cancer 2024; 6:e230074. [PMID: 38099828 PMCID: PMC10825716 DOI: 10.1148/rycan.230074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 11/05/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023]
Abstract
The management of cancer with alternative approaches is a matter of clinical interest worldwide. High-intensity focused ultrasound (HIFU) surgery is a noninvasive technique performed under US or MRI guidance. The most studied therapeutic uses of HIFU involve thermal tissue ablation, demonstrating both palliative and curative potential. However, concurrent mechanical bioeffects also provide opportunities in terms of augmented drug delivery and immunosensitization. The safety and efficacy of HIFU integration with current cancer treatment strategies are being actively investigated in managing primary and secondary tumors, including cancers of the breast, prostate, pancreas, liver, kidney, and bone. Current primary HIFU indications are pain palliation, complete ablation of localized earlystage tumors, or debulking of unresectable late-stage cancers. This review presents the latest HIFU applications, from investigational to clinically approved, in the field of tumor ablation. Keywords: Ultrasound, Ultrasound-High Intensity Focused (HIFU), Interventional-MSK, Interventional-Body, Oncology, Technology Assessment, Tumor Response, MR Imaging © RSNA, 2023.
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Affiliation(s)
- Alessandro De Maio
- From the Department of Radiological, Pathological, and Oncological
Sciences, Sapienza University of Rome, viale Regina Elena 324, 00100 Rome, Italy
(A.D.M., G.A., M.M., A.N.); and Department of Radiology, Stanford University,
Stanford, Calif (P.G.)
| | - Giulia Alfieri
- From the Department of Radiological, Pathological, and Oncological
Sciences, Sapienza University of Rome, viale Regina Elena 324, 00100 Rome, Italy
(A.D.M., G.A., M.M., A.N.); and Department of Radiology, Stanford University,
Stanford, Calif (P.G.)
| | - Monica Mattone
- From the Department of Radiological, Pathological, and Oncological
Sciences, Sapienza University of Rome, viale Regina Elena 324, 00100 Rome, Italy
(A.D.M., G.A., M.M., A.N.); and Department of Radiology, Stanford University,
Stanford, Calif (P.G.)
| | - Pejman Ghanouni
- From the Department of Radiological, Pathological, and Oncological
Sciences, Sapienza University of Rome, viale Regina Elena 324, 00100 Rome, Italy
(A.D.M., G.A., M.M., A.N.); and Department of Radiology, Stanford University,
Stanford, Calif (P.G.)
| | - Alessandro Napoli
- From the Department of Radiological, Pathological, and Oncological
Sciences, Sapienza University of Rome, viale Regina Elena 324, 00100 Rome, Italy
(A.D.M., G.A., M.M., A.N.); and Department of Radiology, Stanford University,
Stanford, Calif (P.G.)
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