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Chen Z, Yang L, Yang Z, Wang Z, He W, Zhang W. Ultrasonic-responsive piezoelectric stimulation enhances sonodynamic therapy for HER2-positive breast cancer. J Nanobiotechnology 2024; 22:369. [PMID: 38918812 PMCID: PMC11197237 DOI: 10.1186/s12951-024-02639-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
INTRODUCTION Breast cancer ranks second as the most common malignancy globally, after lung cancer. Among the various subtypes of breast cancer, HER2 positive breast cancer (HER2 BC)poses a particularly challenging prognosis due to its heightened invasiveness and metastatic potential. The objective of this study was to construct a composite piezoelectric nanoparticle based on poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) for imaging and treatment of HER2 BC. METHOD By reshaping the crystal structure of P(VDF-TrFE) piezoelectric nanoparticles, improving hydrophilicity, and incorporating imaging capabilities, we developed piezoelectric composite nanoparticles (PGd@tNBs) that integrate imaging and therapeutic functions. The in vitro characterization encompassed the assessment of piezoelectric properties, hydrophilicity, imaging performance, and therapeutic efficacy of these particles. The targeting and therapeutic effectiveness of PGd@tNBs particles were further validated in the SK-BR3 cell line and subsequently confirmed in HER2-positive tumor-bearing mice. RESULTS The nanoparticle demonstrated excellent biocompatibility and impressive multimodal imaging performance. Magnetic resonance imaging (MRI) observations revealed significant accumulation of PGd@tNBs particles in the HER2 positive tumor, exhibiting superior contrast-enhanced ultrasound performance compared to traditional ultrasound contrast agents, and small animal in vivo imaging showed that PGd@tNBs particles were primarily excreted through respiration and urinary metabolism. Piezoforce Microscopy characterization highlighted the outstanding piezoelectric properties of PGd@tNBs particles. Upon targeted binding to HER2-BC, ultrasound stimulation influenced the cell membrane potential, leading to reversible electroporation. This, in turn, affected the balance of calcium ions inside and outside the cells and the mitochondrial membrane potential. Following ingestion by cells, PGd@tNBs, when exposed to ultrasound, triggered the generation of reactive oxygen species (ROS), resulting in the consumption of glutathione and superoxide dismutase and achieving sonodynamic therapy. Notably, repeated ultrasound stimulation, post PGd@tNBs particles binding and entry into cells, increased ROS production and elevated the apoptosis rate by approximately 45%. CONCLUSION In conclusion, the PGd@tNBs particles developed exhibit outstanding imaging and therapeutic efficacy, holding potential for precise diagnosis and personalized treatment of HER2 BC.
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Affiliation(s)
- Zhiguang Chen
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Lizhi Yang
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Zhimin Yang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, 350122, China
| | - Zihua Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China.
- Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, 350122, China.
| | - Wen He
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
| | - Wei Zhang
- Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
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Lewis M, Riemann M, Goncalves L, Ramasubramanian A. Microflow Imaging of Fetal Retinoblastoma. J Pediatr Ophthalmol Strabismus 2024:1. [PMID: 38815101 DOI: 10.3928/01913913-20240425-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
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Hu H, Zhao Y, He C, Qian L, Huang P. Ultrasonography of Hepatocellular Carcinoma: From Diagnosis to Prognosis. J Clin Transl Hepatol 2024; 12:516-524. [PMID: 38779517 PMCID: PMC11106354 DOI: 10.14218/jcth.2024.00018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/15/2024] [Accepted: 04/07/2024] [Indexed: 05/25/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is a prominent contributor to cancer-related mortality worldwide. Early detection and diagnosis of liver cancer can significantly improve its prognosis and patient survival. Ultrasound technology, serving has undergone substantial advances as the primary method of HCC surveillance and has broadened its scope in recent years for effective management of HCC. This article is a comprehensive overview of ultrasound technology in the treatment of HCC, encompassing early detection, diagnosis, staging, treatment evaluation, and prognostic assessment. In addition, the authors summarized the application of contrast-enhanced ultrasound in the diagnosis of HCC and assessment of prognosis. Finally, the authors discussed further directions in this field by emphasizing overcoming existing obstacles and integrating cutting-edge technologies.
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Affiliation(s)
- Huisen Hu
- Department of Ultrasound, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Ultrasound, Lanxi People’s Hospital, Lanxi, Zhejiang, China
| | - Yonglei Zhao
- Department of Radiology, Sir Run Run Shaw Hospital (SRRSH), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Chengbin He
- Department of Radiology, Sir Run Run Shaw Hospital (SRRSH), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Lujie Qian
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Pintong Huang
- Department of Ultrasound, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Ramasubramanian A, Riemann M, Brown A, Abruzzo T, Goncalves LF. Microvascular flow ultrasound imaging for retinoblastoma. J AAPOS 2024; 28:103801. [PMID: 38211831 DOI: 10.1016/j.jaapos.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/27/2023] [Accepted: 10/08/2023] [Indexed: 01/13/2024]
Abstract
PURPOSE To present the results of a pilot study of microvascular flow imaging (MFI) in characterizing tumor vasculature of retinoblastoma. METHODS The medical records of consecutive patients with retinoblastoma presenting at our institution between July 2019 and June 2022 that were imaged using MFI were reviewed retroactively. Each patient underwent diagnostic evaluation according to standard of care by examination under anesthesia with fluorescein angiography and ocular ultrasound imaging, including color Doppler and MFI. RESULTS Thirteen eyes of 10 patients with retinoblastoma were included. MFI showed a prominent feeder vessel in 8 eyes, basket vasculature in 6 eyes and tumor bed vascularity in 10 eyes. MFI showed a more extensive vascular branching pattern that was not visible on color Doppler and fluorescein angiography in all eyes. CONCLUSIONS MFI of retinoblastoma patients could add information about tumor vascularity not detectable by color Doppler or fluorescein angiography. Further study is needed to determine whether this information could be used to predict prognosis for ocular salvage and tumor response to treatment.
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Affiliation(s)
| | | | - Alex Brown
- University of Arizona College of Medicine, Phoenix, Arizona
| | - Todd Abruzzo
- Phoenix Children's Hospital, Phoenix, Arizona; University of Arizona College of Medicine, Phoenix, Arizona; Mayo Clinic Alix School of Medicine, Scottsdale, Arizona; Creighton University, Phoenix, Arizona
| | - Luis F Goncalves
- Phoenix Children's Hospital, Phoenix, Arizona; University of Arizona College of Medicine, Phoenix, Arizona; Mayo Clinic Alix School of Medicine, Scottsdale, Arizona; Creighton University, Phoenix, Arizona
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Routkevitch D, Soulé Z, Kats N, Baca E, Hersh AM, Kempski-Leadingham KM, Menta AK, Bhimreddy M, Jiang K, Davidar AD, Smit C, Theodore N, Thakor NV, Manbachi A. Non-contrast ultrasound image analysis for spatial and temporal distribution of blood flow after spinal cord injury. Sci Rep 2024; 14:714. [PMID: 38184676 PMCID: PMC10771432 DOI: 10.1038/s41598-024-51281-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 01/03/2024] [Indexed: 01/08/2024] Open
Abstract
Ultrasound technology can provide high-resolution imaging of blood flow following spinal cord injury (SCI). Blood flow imaging may improve critical care management of SCI, yet its duration is limited clinically by the amount of contrast agent injection required for high-resolution, continuous monitoring. In this study, we aim to establish non-contrast ultrasound as a clinically translatable imaging technique for spinal cord blood flow via comparison to contrast-based methods and by measuring the spatial distribution of blood flow after SCI. A rodent model of contusion SCI at the T12 spinal level was carried out using three different impact forces. We compared images of spinal cord blood flow taken using both non-contrast and contrast-enhanced ultrasound. Subsequently, we processed the images as a function of distance from injury, yielding the distribution of blood flow through space after SCI, and found the following. (1) Both non-contrast and contrast-enhanced imaging methods resulted in similar blood flow distributions (Spearman's ρ = 0.55, p < 0.0001). (2) We found an area of decreased flow at the injury epicenter, or umbra (p < 0.0001). Unexpectedly, we found increased flow at the periphery, or penumbra (rostral, p < 0.05; caudal, p < 0.01), following SCI. However, distal flow remained unchanged, in what is presumably unaffected tissue. (3) Finally, tracking blood flow in the injury zones over time revealed interesting dynamic changes. After an initial decrease, blood flow in the penumbra increased during the first 10 min after injury, while blood flow in the umbra and distal tissue remained constant over time. These results demonstrate the viability of non-contrast ultrasound as a clinical monitoring tool. Furthermore, our surprising observations of increased flow in the injury periphery pose interesting new questions about how the spinal cord vasculature reacts to SCI, with potentially increased significance of the penumbra.
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Affiliation(s)
- Denis Routkevitch
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Zoe Soulé
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Nicholas Kats
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Emily Baca
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew M Hersh
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kelley M Kempski-Leadingham
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Arjun K Menta
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Meghana Bhimreddy
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kelly Jiang
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - A Daniel Davidar
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Constantin Smit
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Nicholas Theodore
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Nitish V Thakor
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Amir Manbachi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Neurosurgery, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
- HEPIUS Innovation Laboratory, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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Goudot G, Berkane Y, de Clermont-Tonnerre E, Guinier C, Filz von Reiterdank I, van Kampen A, Uygun K, Cetrulo CL, Uygun BE, Dua A, Lellouch AG. Microvascular assessment of fascio-cutaneous flaps by ultrasound: A large animal study. Front Physiol 2022; 13:1063240. [PMID: 36589429 PMCID: PMC9797596 DOI: 10.3389/fphys.2022.1063240] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Objectives: Blood perfusion quality of a flap is the main prognostic factor for success. Microvascular evaluation remains mostly inaccessible. We aimed to evaluate the microflow imaging mode, MV-Flow, in assessing flap microvascularization in a pig model of the fascio-cutaneous flap. Methods: On five pigs, bilateral saphenous fascio-cutaneous flaps were procured on the superficial femoral vessels. A conventional ultrasound evaluation in pulsed Doppler and color Doppler was conducted on the ten flaps allowing for the calculation of the saphenous artery flow rate. The MV-Flow mode was then applied: for qualitative analysis, with identification of saphenous artery collaterals; then quantitative, with repeated measurements of the Vascularity Index (VI), percentage of pixels where flow is detected relative to the total ultrasound view area. The measurements were then repeated after increasing arterial flow by clamping the distal femoral artery. Results: The MV-Flow mode allowed a better follow-up of the saphenous artery's collaterals and detected microflows not seen with the color Doppler. The VI was correlated to the saphenous artery flow rate (Spearman rho of 0.64; p = 0.002) and allowed to monitor the flap perfusion variations. Conclusion: Ultrasound imaging of microvascularization by MV-Flow mode and its quantification by VI provides valuable information in evaluating the microvascularization of flaps.
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Affiliation(s)
- Guillaume Goudot
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States,Hôpital Européen Georges-Pompidou, Assistance Publique—Hôpitaux de Paris (APHP), Université Paris-Cité, Paris, France,*Correspondence: Guillaume Goudot,
| | - Yanis Berkane
- Hôpital Européen Georges-Pompidou, Assistance Publique—Hôpitaux de Paris (APHP), Université Paris-Cité, Paris, France,Shriners Children’s Boston, Boston, MA, United States,Centre Hospitalier Universitaire de Rennes, Université de Rennes 1, Rennes, France
| | - Eloi de Clermont-Tonnerre
- Shriners Children’s Boston, Boston, MA, United States,Division of Plastic and Reconstructive Surgery, Vascularized Composite Allotransplantation Laboratory Center for Transplantation Sciences, Massachusetts General Hospital Harvard Medical School, Boston, MA, United States
| | - Claire Guinier
- Shriners Children’s Boston, Boston, MA, United States,Division of Plastic and Reconstructive Surgery, Vascularized Composite Allotransplantation Laboratory Center for Transplantation Sciences, Massachusetts General Hospital Harvard Medical School, Boston, MA, United States
| | - Irina Filz von Reiterdank
- Shriners Children’s Boston, Boston, MA, United States,Division of Plastic and Reconstructive Surgery, Vascularized Composite Allotransplantation Laboratory Center for Transplantation Sciences, Massachusetts General Hospital Harvard Medical School, Boston, MA, United States,Center for Engineering in Medicine and Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Antonia van Kampen
- Division of Cardiac Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States,University Clinic of Cardiac Surgery, Leipzig Heart Center, Leipzig, Germany
| | - Korkut Uygun
- Shriners Children’s Boston, Boston, MA, United States,Division of Cardiac Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Curtis L. Cetrulo
- Shriners Children’s Boston, Boston, MA, United States,Division of Plastic and Reconstructive Surgery, Vascularized Composite Allotransplantation Laboratory Center for Transplantation Sciences, Massachusetts General Hospital Harvard Medical School, Boston, MA, United States
| | - Basak E. Uygun
- Shriners Children’s Boston, Boston, MA, United States,Division of Cardiac Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Anahita Dua
- Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Alexandre G. Lellouch
- Shriners Children’s Boston, Boston, MA, United States,Division of Plastic and Reconstructive Surgery, Vascularized Composite Allotransplantation Laboratory Center for Transplantation Sciences, Massachusetts General Hospital Harvard Medical School, Boston, MA, United States,Department of Plastic, Reconstructive and Aesthetic Surgery, Groupe Almaviva Santé, Clinique de l’Alma, IAOPC, Paris, France
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Routkevitch D, Hersh AM, Kempski KM, Kerensky M, Theodore N, Thakor NV, Manbachi A. FlowMorph: Morphological Segmentation of Ultrasound-Monitored Spinal Cord Microcirculation. IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE : HEALTHCARE TECHNOLOGY : [PROCEEDINGS]. IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE 2022; 2022:610-614. [PMID: 36695674 PMCID: PMC9870043 DOI: 10.1109/biocas54905.2022.9948639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Imaging of spinal cord microvasculature holds great potential in directing critical care management of spinal cord injury (SCI). Traditionally, contrast agents are preferred for imaging of the spinal cord vasculature, which is disadvantageous for long-term monitoring of injury. Here, we present FlowMorph, an algorithm that uses mathematical morphology techniques to segment non-contrast Doppler-based videos of rat spinal cord. Using the segmentation, it measures single-vessel parameters such as flow velocity, rate, and radius, with visible cardiac cycles in individual vessels showcasing the spatiotemporal resolution. The segmentation outlines vessels well with little extraneous labeling, and outlines are smooth through time. Radius measurements of perforating vessels are similar to what is seen in the literature through other methods. Verification of the algorithm through comparison to manual measurement and in vitro microphantom standards highlights points of future improvement. This method will be vital for future work studying the vascular effects of SCI and can be adopted to other species as well.
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Affiliation(s)
| | | | | | - Max Kerensky
- Johns Hopkins University,Baltimore,Maryland,21205
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Senarathna J, Pathak AP. Visualizing the Microcirculation. Microcirculation 2022; 29:e12785. [PMID: 36125801 DOI: 10.1111/micc.12785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Janaka Senarathna
- The Russel H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Arvind P Pathak
- The Russel H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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