New Trends in Cardiovascular Imaging: 2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 395

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Department of Radiology, Center of Academic Medicine, 453 Quarry Rd., 3rd Floor, Room 324F, Stanford, CA 94305, USA
Interests: cardiac CT; cardiac MRI
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Special Issue Information

Dear Colleagues,

In contemporary clinical practice, cardiac computed tomography (CT) and magnetic resonance imaging (MRI) have emerged as indispensable tools, now integrated into guidelines for evaluating patients with congenital heart disease as well as those presenting with acute or chronic chest pain. The dynamic landscape of cardiac MRI is continues to evolve, facilitating myocardial tissue characterization, quantitative perfusion imaging, and the innovative realm of 4D flow imaging. Concurrently, cardiac CT is progressing with enhanced spatial resolution and the introduction of multi-energy imaging, which significantly enhance the assessment of coronary artery disease. These technological leaps facilitate detailed evaluation of fractional flow reserve, plaque composition, and the integrity of stents and bypass grafts.

Looking forward, the integration of artificial intelligence (AI) and machine learning stands poised to revolutionize the accessibility and utility of these imaging tools. AI-driven algorithms can improve efficiency, standardize interpretation, and expand access, potentially broadening the clinical reach of cardiac CT and MRI to a wider patient population.

This Special Issue aims to curate insights from leading experts in the field, focusing on the most promising aspects and clinical applications of the latest developments in cardiac CT and MRI. By highlighting these emerging trends and innovations, we seek to foster a deeper understanding of their potential impact on cardiac diagnostics and patient care.

Prof. Dr. Hans-Christoph Becker
Guest Editor

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Keywords

  • cardiac CT
  • cardiac MRI
  • hybrid and multimodality imaging
  • artificial intelligence and machine learning
  • coronary artery disease
  • myocardial tissue characterization
  • congenital heart disease

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Published Papers (2 papers)

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Review

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15 pages, 4439 KB  
Review
Selective Angiographic Roadmap Analysis (SARA) of Hepatocellular Carcinoma Feeding Arteries for Transarterial Chemoembolization
by Sultan R. Alharbi
Diagnostics 2025, 15(19), 2533; https://doi.org/10.3390/diagnostics15192533 - 8 Oct 2025
Abstract
Hepatocellular carcinoma (HCC) is a hypervascular malignancy commonly treated with transarterial chemoembolization (TACE), in which success relies on the accurate identification and embolization of tumor feeding arteries while sparing the nontumorous liver parenchyma. This review introduces the concept of selective angiographic roadmap analysis [...] Read more.
Hepatocellular carcinoma (HCC) is a hypervascular malignancy commonly treated with transarterial chemoembolization (TACE), in which success relies on the accurate identification and embolization of tumor feeding arteries while sparing the nontumorous liver parenchyma. This review introduces the concept of selective angiographic roadmap analysis (SARA), a systematic and stepwise approach to evaluating hepatic arterial supply in HCC, with the aim of standardizing angiographic planning and improving TACE outcomes. SARA emphasizes recognition of typical and variant hepatic arterial anatomy, systematic identification of accessory and extrahepatic feeders, and integration with intraprocedural cone-beam computed tomography (CBCT) to enhance feeder detection and reduce nontarget embolization. Although primarily applied in TACE, the principles of SARA are equally relevant to transarterial radioembolization (TARE) where precise arterial mapping is critical. Embolization strategies are discussed across different levels of selectivity, from lobar to superselective techniques. The complementary role of advanced imaging modalities, such as CT angiography (CTA), MR angiography (MRA), and artificial intelligence-assisted vessel tracking, is also explored. Adopting the SARA framework in conjunction with these technologies may improve technical success and tumor control and preserve liver function in patients undergoing intra-arterial therapies. Full article
(This article belongs to the Special Issue New Trends in Cardiovascular Imaging: 2nd Edition)
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5 pages, 1327 KB  
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Dual-Energy Computed Tomography (DECT) for Diagnosing Contrast-Induced Encephalopathy (CIE) Mimicking Intracranial Hemorrhage (ICH): A Rare Case
by Yuhong Shen and Tianhe Ye
Diagnostics 2025, 15(19), 2426; https://doi.org/10.3390/diagnostics15192426 - 23 Sep 2025
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Abstract
Contrast-induced encephalopathy (CIE) is a rare complication after percutaneous coronary intervention (PCI) that mimics intracranial hemorrhage (ICH). Its computed tomography (CT) findings (cortical contrast enhancement, sulci effacement) overlap with cerebrovascular conditions (e.g., cerebral infarction, subarachnoid hemorrhage). Dual-energy CT (DECT) differentiates blood/calcification from iodinated [...] Read more.
Contrast-induced encephalopathy (CIE) is a rare complication after percutaneous coronary intervention (PCI) that mimics intracranial hemorrhage (ICH). Its computed tomography (CT) findings (cortical contrast enhancement, sulci effacement) overlap with cerebrovascular conditions (e.g., cerebral infarction, subarachnoid hemorrhage). Dual-energy CT (DECT) differentiates blood/calcification from iodinated contrast medium (CM) extravasation via material decomposition, contributing to the accurate diagnosis of CIE. We report a CIE case highlighting DECT’s value. A 74-year-old woman underwent PCI. 50 min post-PCI, she had moderate headache (Numeric Rating Scale 4), dizziness, non-projectile vomiting (no seizures); vital signs were stable, no focal deficits, mannitol ineffective. Non-contrast CT demonstrated a left parietal 75 Hounsfield unit (HU) high-attenuation lesion, indistinguishable from acute intracerebral hemorrhage. Conventional non-contrast CT revealed a high-attenuation lesion (75 HU) in the left parietal lobe—indistinguishable from ICH. DECT clarified the diagnosis: virtual non-contrast maps showed CM extravasation, iodine concentration maps confirmed focal CM accumulation, and effective atomic number maps improved lesion visualization. The patient’s headache resolved within 5 h; follow-up non-contrast CT at 24 h showed complete disappearance of the lesion. She resumed clopidogrel, discharged day 3 without sequelae. This case underscores DECT’s role in distinguishing CIE (transient CM, normal neuro exam) from ICH (persistent hemorrhage), guiding safe post-PCI antiplatelet therapy. Full article
(This article belongs to the Special Issue New Trends in Cardiovascular Imaging: 2nd Edition)
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