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Musket A, Davern S, Elam BM, Musich PR, Moorman JP, Jiang Y. The application of radionuclide therapy for breast cancer. FRONTIERS IN NUCLEAR MEDICINE (LAUSANNE, SWITZERLAND) 2024; 3:1323514. [PMID: 39355029 PMCID: PMC11440853 DOI: 10.3389/fnume.2023.1323514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/27/2023] [Indexed: 10/03/2024]
Abstract
Radionuclide-mediated diagnosis and therapy have emerged as effective and low-risk approaches to treating breast cancer. Compared to traditional anatomic imaging techniques, diagnostic radionuclide-based molecular imaging systems exhibit much greater sensitivity and ability to precisely illustrate the biodistribution and metabolic processes from a functional perspective in breast cancer; this transitions diagnosis from an invasive visualization to a noninvasive visualization, potentially ensuring earlier diagnosis and on-time treatment. Radionuclide therapy is a newly developed modality for the treatment of breast cancer in which radionuclides are delivered to tumors and/or tumor-associated targets either directly or using delivery vehicles. Radionuclide therapy has been proven to be eminently effective and to exhibit low toxicity when eliminating both primary tumors and metastases and even undetected tumors. In addition, the specific interaction between the surface modules of the delivery vehicles and the targets on the surface of tumor cells enables radionuclide targeting therapy, and this represents an exceptional potential for this treatment in breast cancer. This article reviews the development of radionuclide molecular imaging techniques that are currently employed for early breast cancer diagnosis and both the progress and challenges of radionuclide therapy employed in breast cancer treatment.
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Affiliation(s)
- Anna Musket
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Sandra Davern
- Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Brianna M Elam
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Philip R Musich
- Department of Biomedical Science, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Jonathan P Moorman
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
| | - Yong Jiang
- Department of Internal Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
- Center of Excellence in Inflammation, Infectious Disease and Immunity, Quillen College of Medicine, East Tennessee State University, Johnson City, TN, United States
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Moody JB, Ficaro EP, Murthy VL. Simplified quantification of PET myocardial blood flow: The need for technical standardization. J Nucl Cardiol 2020; 27:829-832. [PMID: 30397868 PMCID: PMC6500765 DOI: 10.1007/s12350-018-01497-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 10/12/2018] [Indexed: 11/26/2022]
Affiliation(s)
- Jonathan B Moody
- INVIA Medical Imaging Solutions, 3025 Boardwalk Street, Suite 200, Ann Arbor, MI, 40108, USA.
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, 3025 Boardwalk Street, Suite 200, Ann Arbor, MI, 40108, USA
- Cardiac Imaging Program, University of Michigan, Ann Arbor, MI, USA
- Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Venkatesh L Murthy
- Cardiac Imaging Program, University of Michigan, Ann Arbor, MI, USA
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA
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Nazir MS, Gould SM, Milidonis X, Reyes E, Ismail TF, Neji R, Roujol S, O’Doherty J, Xue H, Barrington SF, Schaeffter T, Razavi R, Marsden P, Kellman P, Plein S, Chiribiri A. Simultaneous 13N-Ammonia and gadolinium first-pass myocardial perfusion with quantitative hybrid PET-MR imaging: a phantom and clinical feasibility study. Eur J Hybrid Imaging 2019; 3:15. [PMID: 31544170 PMCID: PMC6718374 DOI: 10.1186/s41824-019-0062-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 07/15/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Positron emission tomography (PET) is the non-invasive reference standard for myocardial blood flow (MBF) quantification. Hybrid PET-MR allows simultaneous PET and cardiac magnetic resonance (CMR) acquisition under identical experimental and physiological conditions. This study aimed to determine feasibility of simultaneous 13N-Ammonia PET and dynamic contrast-enhanced CMR MBF quantification in phantoms and healthy volunteers. METHODS Images were acquired using a 3T hybrid PET-MR scanner. Phantom study: MBF was simulated at different physiological perfusion rates and a protocol for simultaneous PET-MR perfusion imaging was developed. Volunteer study: five healthy volunteers underwent adenosine stress. 13N-Ammonia and gadolinium were administered simultaneously. PET list mode data was reconstructed using ordered subset expectation maximisation. CMR MBF was quantified using Fermi function-constrained deconvolution of arterial input function and myocardial signal. PET MBF was obtained using a one-tissue compartment model and image-derived input function. RESULTS Phantom study: PET and CMR MBF measurements demonstrated high repeatability with intraclass coefficients 0.98 and 0.99, respectively. There was high correlation between PET and CMR MBF (r = 0.98, p < 0.001) and good agreement (bias - 0.85 mL/g/min; 95% limits of agreement 0.29 to - 1.98). Volunteer study: Mean global stress MBF for CMR and PET were 2.58 ± 0.11 and 2.60 ± 0.47 mL/g/min respectively. On a per territory basis, there was moderate correlation (r = 0.63, p = 0.03) and agreement (bias - 0.34 mL/g/min; 95% limits of agreement 0.49 to - 1.18). CONCLUSION Simultaneous MBF quantification using hybrid PET-MR imaging is feasible with high test repeatability and good to moderate agreement between PET and CMR. Future studies in coronary artery disease patients may allow cross-validation of techniques.
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Affiliation(s)
- Muhummad Sohaib Nazir
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Sarah-May Gould
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Xenios Milidonis
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Eliana Reyes
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Tevfik F. Ismail
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Radhouene Neji
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
- Siemens Healthcare Limited, Sir William Siemens Square, Frimley, Camberley, GU16 8QD UK
| | - Sébastien Roujol
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Jim O’Doherty
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Hui Xue
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD USA
| | - Sally F. Barrington
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Tobias Schaeffter
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
- Physikalisch-Technische Bundesanstalt, Berlin, Germany
| | - Reza Razavi
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Paul Marsden
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
| | - Peter Kellman
- National Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, Bethesda, MD USA
| | - Sven Plein
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
- Leeds Institute of Cardiovascular and Metabolic Medicine, LIGHT Laboratories, Clarendon Way, University of Leeds, Leeds, LS2 9JT UK
| | - Amedeo Chiribiri
- Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, St Thomas’ Hospital, Westminster Bridge, 4th Floor Lambeth Wing, London, SE1 7EH UK
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