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<p>Cardiovascular medicine evolved out of clinical necessity, from Forssmann’s catheterization and Sones’ coronary angiography to contemporary computed tomography (CT) and magnetic resonance imaging (MRI). Today, non-invasive cross-sectional imaging is firmly anchored in guideline-based care: coronary CT angiography (CCTA) is primarily used to rule out obstructive coronary artery disease and, through CAD-RADS 2.0, enables prognostically relevant plaque characterization and risk stratification. The use of CTA is also pivotal in acute aortic syndromes and plays a central role in valvular planning. By delivering standardized, reproducible findings, radiology provides transparency; however, radiology is occasionally underrepresented within the heart team, making structural integration essential for patient-centered, evidence-based decision-making. Looking ahead, artificial intelligence (AI)-driven radiomics and clinomics, structured reporting, and cardiothoracic radiological hybrid procedures (including CT-guided pericardiocentesis and device/valve implantation) may enable precision medicine with sustainable quality of care within a balanced heart board.</p>

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Herzmedizin im Gleichgewicht – radiologische Objektivität als Fundament interdisziplinärer Kooperation

  • 期刊论文

  • 发表日期：

    2026年1月8日

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  • Sebastian Reinartz

摘要

Cardiovascular medicine evolved out of clinical necessity, from Forssmann’s catheterization and Sones’ coronary angiography to contemporary computed tomography (CT) and magnetic resonance imaging (MRI). Today, non-invasive cross-sectional imaging is firmly anchored in guideline-based care: coronary CT angiography (CCTA) is primarily used to rule out obstructive coronary artery disease and, through CAD-RADS 2.0, enables prognostically relevant plaque characterization and risk stratification. The use of CTA is also pivotal in acute aortic syndromes and plays a central role in valvular planning. By delivering standardized, reproducible findings, radiology provides transparency; however, radiology is occasionally underrepresented within the heart team, making structural integration essential for patient-centered, evidence-based decision-making. Looking ahead, artificial intelligence (AI)-driven radiomics and clinomics, structured reporting, and cardiothoracic radiological hybrid procedures (including CT-guided pericardiocentesis and device/valve implantation) may enable precision medicine with sustainable quality of care within a balanced heart board.