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Khattab M, Baig M, El Zarif T, Barac A, Ferencik M, Henry ML, Lopez-Mattei J, Redheuil A, Salem JE, Scherrer-Crosbie M, Yang EH, Baldassarre LA. How to Use Imaging: Complex Cases of Atherosclerosis, Myocardial Inflammation, and Cardiomyopathy in Cardio-Oncology. Circ Cardiovasc Imaging 2025; 18:e015981. [PMID: 39772610 DOI: 10.1161/circimaging.124.015981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 11/19/2024] [Indexed: 01/11/2025]
Abstract
It is well understood that cancer therapies including chemotherapy, tyrosine kinase inhibitors, immune checkpoint inhibitors, and radiation can increase the risk of cardiovascular disease in patients with cancer. This can manifest as a multitude of pathologies including left ventricular dysfunction, myocarditis, cardiomyopathy, accelerated atherosclerosis, and coronary vasospasm. Multimodal cardiac imaging plays a critical role in diagnosing such pathologies by relying on noninvasive tools including echocardiograms, cardiac magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and coronary computed tomography angiography. These methods have unique considerations and in recent years have made significant progress in their diagnostic capabilities in this patient population. As the field of cardio-oncology continues to expand rapidly, guidance on the management of such toxicities and the development of imaging technologies is crucial. In this review, we present 2 complex cases of atherosclerosis and myocarditis in patients with cancer, highlighting our rationale for management and discussing the nuances of various cardiac imaging modalities.
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Affiliation(s)
- Mohamad Khattab
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (M.K., M.B., T.E.Z., L.A.B.)
| | - Mariam Baig
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (M.K., M.B., T.E.Z., L.A.B.)
| | - Talal El Zarif
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (M.K., M.B., T.E.Z., L.A.B.)
| | - Ana Barac
- Inova Heart Institute, Fairfax, VA (A.B.)
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health Sciences University, Portland (M.F.)
| | - Mariana L Henry
- Geisel School of Medicine at Dartmouth, Hanover, NH (M.L.H.)
| | | | - Alban Redheuil
- Department of Pharmacology, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, INSERM, CIC-1901, UNICO-GRECO Cardio-oncology Program, France (A.R., J.-E.S.)
| | - Joe-Elie Salem
- Department of Pharmacology, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, INSERM, CIC-1901, UNICO-GRECO Cardio-oncology Program, France (A.R., J.-E.S.)
| | | | - Eric H Yang
- Cardio-Oncology Program, Division of Cardiology, Department of Medicine, University of California at Los Angeles (E.H.Y.)
| | - Lauren A Baldassarre
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (M.K., M.B., T.E.Z., L.A.B.)
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Kwan JM, Oikonomou EK, Henry ML, Sinusas AJ. Multimodality Advanced Cardiovascular and Molecular Imaging for Early Detection and Monitoring of Cancer Therapy-Associated Cardiotoxicity and the Role of Artificial Intelligence and Big Data. Front Cardiovasc Med 2022; 9:829553. [PMID: 35369354 PMCID: PMC8964995 DOI: 10.3389/fcvm.2022.829553] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/12/2022] [Indexed: 12/12/2022] Open
Abstract
Cancer mortality has improved due to earlier detection via screening, as well as due to novel cancer therapies such as tyrosine kinase inhibitors and immune checkpoint inhibitions. However, similarly to older cancer therapies such as anthracyclines, these therapies have also been documented to cause cardiotoxic events including cardiomyopathy, myocardial infarction, myocarditis, arrhythmia, hypertension, and thrombosis. Imaging modalities such as echocardiography and magnetic resonance imaging (MRI) are critical in monitoring and evaluating for cardiotoxicity from these treatments, as well as in providing information for the assessment of function and wall motion abnormalities. MRI also allows for additional tissue characterization using T1, T2, extracellular volume (ECV), and delayed gadolinium enhancement (DGE) assessment. Furthermore, emerging technologies may be able to assist with these efforts. Nuclear imaging using targeted radiotracers, some of which are already clinically used, may have more specificity and help provide information on the mechanisms of cardiotoxicity, including in anthracycline mediated cardiomyopathy and checkpoint inhibitor myocarditis. Hyperpolarized MRI may be used to evaluate the effects of oncologic therapy on cardiac metabolism. Lastly, artificial intelligence and big data of imaging modalities may help predict and detect early signs of cardiotoxicity and response to cardioprotective medications as well as provide insights on the added value of molecular imaging and correlations with cardiovascular outcomes. In this review, the current imaging modalities used to assess for cardiotoxicity from cancer treatments are discussed, in addition to ongoing research on targeted molecular radiotracers, hyperpolarized MRI, as well as the role of artificial intelligence (AI) and big data in imaging that would help improve the detection and prognostication of cancer-treatment cardiotoxicity.
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Affiliation(s)
- Jennifer M. Kwan
- Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Evangelos K. Oikonomou
- Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Mariana L. Henry
- Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Albert J. Sinusas
- Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT, United States
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States
- Department of Biomedical Engineering, Yale University, New Haven, CT, United States
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