en.Wedoany.com Reported - The 2026 Annual Scientific Meeting of the Society of Cardiovascular Computed Tomography (SCCT) will be held from July 9 to 12 in San Diego, USA. The conference agenda places coronary plaque imaging, artificial intelligence, structural heart disease interventional imaging, and next-generation CT technology at its core, featuring approximately 470 presentations covering 15 educational tracks and 4 parallel sessions. As a key annual event in the field of cardiovascular CT, the evolving agenda of SCCT 2026 reflects that cardiac imaging technology is moving beyond mere anatomical observation towards risk stratification, early intervention, and intelligent workflows.
Coronary plaque imaging has become one of the focal directions of this conference, primarily because cardiovascular imaging is expanding from "assessing stenosis severity" to "identifying plaque risk." Traditional coronary CT angiography is mainly used to evaluate coronary artery stenosis, luminal changes, and anatomical structures. However, clinical risk does not always correspond perfectly with the degree of stenosis; some high-risk plaques may possess more complex biological characteristics before rupture. Plaque imaging technology, by analyzing low-attenuation plaque, positive remodeling, calcification patterns, plaque volume, and other imaging biomarkers, helps physicians identify potentially high-risk patients earlier and advance treatment strategies before myocardial infarction occurs. SCCT 2026 features a prevention track centered on plaque biology, imaging biomarkers, and evidence for high-risk plaques, indicating that coronary CT is entering a phase of more refined disease understanding. For hospitals and imaging centers, such technological changes will impact scanning protocols, post-processing software, reporting structures, and clinical collaboration methods. For patient management, plaque quantification and risk stratification may assist physicians in making more individualized decisions regarding lipid-lowering, anti-inflammatory therapy, lifestyle interventions, and follow-up frequency.
AI is another major theme running through SCCT 2026.
Cardiac CT inherently involves large data volumes, challenges in controlling motion artifacts, complex post-processing steps, and high reporting requirements, offering significant potential for artificial intelligence application in this field. AI can participate in image acquisition optimization, reconstruction noise reduction, calcium scoring calculation, coronary centerline extraction, automated plaque segmentation, plaque component quantification, CT-FFR analysis, report generation, and workflow scheduling. As the volume of coronary CT examinations increases, physicians face not only a higher number of images to read but also greater demands for detailed plaque assessment, functional evaluation, pre-procedural planning for structural heart disease, and interdisciplinary collaboration. If AI tools can reliably perform repetitive measurements and preliminary quantitative analyses, they can free physicians from numerous mechanical processing tasks, allowing them to focus more on complex case interpretation and treatment decisions. By incorporating AI and innovative technologies into its agenda, SCCT 2026 also signifies that the focus on intelligent tools in the cardiac CT field has shifted from proof-of-concept to actual clinical workflows: algorithms need to adapt to different equipment, scanning protocols, patient populations, and hospital workloads, while establishing clearer pathways for quality control, accountability boundaries, and reimbursement mechanisms.
The expansion of interventional imaging for structural heart disease is also diversifying the role of cardiac CT. Transcatheter aortic valve replacement has already established CT as a crucial tool for pre-procedural assessment and device planning. Meanwhile, the development of interventions for the mitral valve, tricuspid valve, pulmonary valve, and left atrial appendage occlusion is pushing CT imaging further into more complex anatomical measurements, device matching, and post-procedural evaluation scenarios. Next-generation hardware technologies like photon-counting CT will also be discussed at the meeting. This detector technology promises to improve spatial resolution and tissue characterization capabilities, offering new imaging possibilities in reducing radiation dose and enhancing spectral imaging information. The convergence of hardware advancements, AI analysis, and clinical needs is elevating cardiovascular CT from a single diagnostic tool to a comprehensive platform covering screening, diagnosis, risk prediction, interventional planning, and therapeutic follow-up.
The scale of 470 presentations at SCCT 2026 indicates that the evolution of cardiovascular CT technology has entered a phase of multi-directional parallel development. Plaque imaging advances the early identification of disease risk, AI improves the efficiency and consistency of image analysis, CT-FFR strengthens functional assessment, structural heart disease imaging expands the boundaries of interventional applications, and photon-counting CT provides the hardware foundation for higher precision imaging. New research, software, and clinical practice pathways released following the conference will influence the assessment of future CT application value by cardiovascular imaging departments, cardiology departments, interventional teams, and device manufacturers.
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