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1.
Int J Cancer ; 151(11): 1860-1873, 2022 Dec 01.
Article in English | MEDLINE | ID: covidwho-1976728

ABSTRACT

Immune checkpoint inhibitor (ICI)-induced cardiotoxicity is a rare immune-related adverse event (irAE) characterized by a high mortality rate. From a pathological point of view, this condition can result from a series of causes, including binding of ICIs to target molecules on nonlymphocytic cells, cross-reaction of T lymphocytes against tumor antigens with off-target tissues, generation of autoantibodies and production of proinflammatory cytokines. The diagnosis of ICI-induced cardiotoxicity can be challenging, and cardiac magnetic resonance (CMR) represents the diagnostic tool of choice in clinically stable patients with suspected myocarditis. CMR is gaining a central role in diagnosis and monitoring of cardiovascular damage in cancer patients, and it is entering international cardiology and oncology guidelines. In this narrative review, we summarized the clinical aspects of ICI-associated myocarditis, highlighting its radiological aspects and proposing a novel algorithm for the use of CMR.


Subject(s)
Myocarditis , Antigens, Neoplasm , Autoantibodies , Cardiotoxicity/etiology , Cytokines , Humans , Immune Checkpoint Inhibitors/adverse effects , Magnetic Resonance Imaging , Myocarditis/chemically induced , Myocarditis/diagnostic imaging
2.
Eur Radiol ; 32(7): 4352-4360, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1712233

ABSTRACT

OBJECTIVES: To assess clinical and cardiac magnetic resonance (CMR) imaging features of patients with peri-myocarditis following Coronavirus Disease 2019 (COVID-19) vaccination. METHODS: We retrospectively collected a case series of 27 patients who underwent CMR in the clinical suspect of heart inflammation following COVID-19 vaccination, from 16 large tertiary centers. Our patient's cohort was relatively young (36.6 ± 16.8 years), predominately included males (n = 25/27) with few comorbidities and covered a catchment area of approximately 8 million vaccinated patients. RESULTS: CMR revealed typical mid-subepicardial non-ischemic late gadolinium enhancement (LGE) in 23 cases and matched positively with CMR T2 criteria of myocarditis. In 7 cases, typical hallmarks of acute pericarditis were present. Short-term follow-up (median = 20 days) from presentation was uneventful for 25/27 patients and unavailable in two cases. CONCLUSIONS: While establishing a causal relationship between peri-myocardial inflammation and vaccine administration can be challenging, our clinical experience suggests that CMR should be performed for diagnosis confirmation and to drive clinical decision-making and follow-up. KEY POINTS: • Acute onset of dyspnea, palpitations, or acute and persisting chest pain after COVID-19 vaccination should raise the suspicion of possible myocarditis or pericarditis, and patients should seek immediate medical attention and treatment to help recovery and avoid complications. • In case of elevated troponin levels and/or relevant ECG changes, cardiac magnetic resonance should be considered as the best non-invasive diagnostic option to confirm the diagnosis of myocarditis or pericarditis and to drive clinical decision-making and follow-up.


Subject(s)
COVID-19 , Myocarditis , Pericarditis , Arrhythmias, Cardiac , COVID-19 Vaccines/adverse effects , Contrast Media/pharmacology , Gadolinium/pharmacology , Humans , Inflammation , Magnetic Resonance Imaging , Male , Myocarditis/diagnostic imaging , Myocarditis/etiology , Pericarditis/diagnostic imaging , Pericarditis/etiology , Retrospective Studies , Vaccination
3.
Rev Cardiovasc Med ; 21(4): 541-560, 2020 12 30.
Article in English | MEDLINE | ID: covidwho-1059479

ABSTRACT

Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discovered and are then fused with non-imaging biomarkers (such as office, laboratory, physiological, genetic, epidemiological, and clinical-based biomarkers) in a big data framework, to develop AI systems. These systems can support risk prediction and monitoring. This perspective narrative shows the powerful methods of AI for tracking cardiovascular risks. We conclude that AI could potentially become an integral part of the COVID-19 disease management system. Countries, large and small, should join hands with the WHO in building biobanks for scientists around the world to build AI-based platforms for tracking the cardiovascular risk assessment during COVID-19 times and long-term follow-up of the survivors.


Subject(s)
Artificial Intelligence , COVID-19/epidemiology , Cardiovascular Diseases/epidemiology , Delivery of Health Care/methods , Pandemics , Risk Assessment , SARS-CoV-2 , Cardiovascular Diseases/therapy , Comorbidity , Humans , Risk Factors
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