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008			220818s2022 sz a o |||| 0|eng d
020			_a9783030993917
024	7		_a10.1007/978-3-030-99391-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC683.5.I42 _b2022 EB
245	0	0	_aHybrid Cardiac Imaging for Clinical Decision-Making : _bFrom Diagnosis to Prognosis _cedited by Francesco Nudi, Orazio Schillaci, Giuseppe Biondi-Zoccai, Ami E. Iskandrian
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXX, 222 páginas) _b92 ilustraciones, 84 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPART I) SPECIALISTS' PERSPECTIVES TO HYBRID CARDIAC IMAGING -- Chapter 1) Hybrid Cardiac Imaging for the Clinical Cardiologist -- Chapter 2) Hybrid Cardiac Imaging for the Cardiologist with Expertise in Echocardiography -- Chapter 3) Hybrid Cardiac Imaging for the Specialist with Expertise in Cardiac Magnetic Resonance -- Chapter 4) Hybrid Imaging Using Single Photon Emission Computed Tomography -- Chapter 5) Hybrid Cardiac Imaging for the Specialist with Expertise in Computed Tomography -- Chapter 6) Hybrid Cardiac Imaging for the Invasive Cardiologist -- Chapter 7) Hybrid Cardiac Imaging for the Interventional Cardiologist -- PART II) HYBRID IMAGING IN CLINICAL PRACTICE -- Chapter 8) Systematic Review of Hybrid Cardiac Imaging -- Chapter 9) Hybrid Cardiac Viability Assessment -- Chapter 10) Hybrid Cardiac Imaging in Clinical Practice: From Diagnosis to Prognosis and Management -- Chapter 11) Clinical Cases of Hybrid Cardiac Imaging -- Chapter 12) Hybrid Cardiac Imaging: The Role of Machine Learning and Artificial Intelligence.
520			_aPerforming 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.
988			_aSpringer_Medicine_2022
650		7	_2embne _9187244 _aCorazón _xDiagnóstico por imagen
650		7	_2embne _9169062 _aAparato circulatorio _xEnfermedades _xDiagnóstico
700	1		_aNudi, Francesco _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSchillaci, Orazio _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBiondi-Zoccai, Giuseppe _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aIskandrian, Ami E. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030993900
776	0	8	_iPrinted edition: _z9783030993924
776	0	8	_iPrinted edition: _z9783030993931
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-99391-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2022 _dz _eb _zSI