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Performing any diagnostic test in medicine is always a matter of trying to get the condition of the patient diagnosed properly with the least effort, exposure, discomfort and at the same time with the lowest possible error probability.
Pre-test probability is helpful but often imprecise, effectively overestimating the patient's risk profile. In a broader prevention objective, the phases of a disease, its onset, progression, and complications must be taken into account. The negative predictive value, which is so important, has in turn its main limitation in identifying the healthy patient, that is, the one who does not belong to any cluster of patients in which we would act in terms of prevention.
In coronary syndromes, the goal is instead to evaluate coronary heart disease, from mild to more extensive and significant forms. For this purpose, it is necessary to use parameters that investigate different and complementary aspects: stenosis, ischemia, the morphology of the atherosclerotic plaque, metabolic processes, in particular vitality and apoptosis, the presence of inflammatory processes.
The possibility, already present thanks to Hybrid Imaging, of 'joining’ exams that study different aspects, will allow the patient to be increasingly characterized not only from a diagnostic point of view but also from a prognostic and personalized therapeutic choice.
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Front Matter
Pages 1-1
Hybrid Cardiac Imaging for the Clinical Cardiologist
Pages 3-27
Hybrid Cardiac Imaging for the Cardiologist with Expertise in Echocardiography
Pages 29-38
Hybrid Cardiac Imaging for the Specialist with Expertise in Cardiac Magnetic Resonance
Pages 39-53
Hybrid Imaging Using Single Photon Emission Computed Tomography
Pages 55-73
Hybrid Cardiac Imaging for the Specialist with Expertise in Computed Tomography
Pages 75-91
Hybrid Cardiac Imaging for the Invasive Cardiologist
Pages 93-115
Hybrid Cardiac Imaging for the Interventional Cardiologist
Pages 117-127
Front Matter
Pages 129-129
Systematic Review of Hybrid Cardiac Imaging
Pages 131-146
Hybrid Cardiac Viability Assessment
Pages 147-172
Hybrid Cardiac Imaging in Clinical Practice: From Diagnosis to Prognosis and Management
Pages 173-189
Clinical Cases of Hybrid Cardiac Imaging
Pages 191-202
Hybrid Cardiac Imaging: The Role of Machine Learning and Artificial Intelligence
Pages 203-222
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