Rajiah, Prabhakar

Imaging biomarkers complement traditional risk assessment by enabling direct patient-specific detection and characterization of subclinical atherosclerotic cardiovascular disease, which supports earlier diagnosis, improved risk stratification, and more personalized cardiovascular prevention.

Vascular abnormalities are significant and often underdiagnosed conditions that can have profound implications for athletic performance, limb function, and even life, and multimodality imaging plays an essential role in timely recognition, characterization, and management.

Abstract Photon-counting detector CT (PCD-CT) directly detects individual photons and measures their energies, enabling the acquisition of multi-energy data from a single x-ray source with higher spatial resolution, thereby allowing visualization of smaller arteries and veins and other important imaging features not seen at conventional CT. It also substantially reduces calcium and stent blooming artifacts. Appropriate patient selection and task-based optimization of acquisition, reconstruction, and interpretation are critical to realize these benefits. Vascular imaging examinations for which early evidence shows that PCD-CT demonstrates higher diagnostic performance compared to conventional CT include coronary CT angiography (CTA) for evaluation of partially calcified plaques or stents, peripheral runoff CTA, detection of cerebrospinal fluid-venous fistulas, and head CTA for evaluation of small intracranial vessels and aneurysms. Current limitations include excessive image noise with the sharpest reconstruction kernels and challenges when adapting conventional CT protocols (eg, requiring sharper kernels, thinner slices, higher matrices, tailored scan modes) to achieve time-efficient image reconstruction and hanging protocols. New solutions and directions will include deep-learning-based image noise reduction, improved spectral separation, strategic triage of specific patient populations to PCD-CT systems, and subspecialty clinical practice recommendations for this new technology.

Single ventricle is a rare congenital heart defect involving one functional ventricle, and imaging is essential for classification, functional assessment, anomaly detection, and guiding management.

Abstract Objectives Minimally invasive cardiac surgery (MICS) offers significant advantages over conventional sternotomy, including reduced trauma and faster recovery. Preoperative planning is crucial, with computed tomography (CT) emerging as an essential imaging tool. This systematic review aims to evaluate CT’s role in MICS planning, focusing on imaging protocols, surgical guidance, and patient outcomes. Methods This study included studies published between January 2003 and January 2025 that examined the role of CT imaging in planning minimally invasive valvular heart surgery. A comprehensive search was conducted in Medical Literature Analysis and Retrieval System Online (MEDLINE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Excerpta Medica Database (EMBASE) using predefined keywords and medical subject headings (MeSH) terms related to CT imaging, angiography, minimally invasive surgery, robotic surgery, aortic valve surgery, and mitral valve surgery. Results Initial search found 378 studies, and 17 studies were included in the review. The studies highlight CT’s value in assessing surgical feasibility, vascular access, and risk stratification. CT aids in selecting arterial cannulation sites, guiding aortic occlusion strategies, and optimizing port placement. It also identifies contraindications, such as extensive atherosclerosis and anatomical abnormalities, that may necessitate sternotomy. Conclusions Current evidence underscores CT’s critical role in optimizing MICS planning and enhancing patient safety.

Coronary CT angiography (CCTA) offers excellent negative predictive value for ruling out obstructive coronary artery disease (CAD); however, several interpretative pitfalls can lead to diagnostic errors including false-negative, false-positive results or inaccurate estimation of degree of stenosis. These errors may influence patient management, prompt unnecessary or missed downstream testing, and ultimately affect clinical outcomes. This two-part article reviews the most common sources of diagnostic inaccuracy in CCTA through case-based examples. Part I highlights factors that contribute to missed or overdiagnosed coronary lesions while Part II focuses on pitfalls that lead to underestimation or overestimation of stenosis severity and outlines practical strategies to mitigate these errors. Recognizing the inherent limitations of CCTA and employing a systematic, structured interpretive approach are essential for preserving its high diagnostic accuracy and ensuring optimal patient care.

Accurate quantification of coronary stenosis on coronary CT angiography (CCTA) is essential for appropriate risk stratification and clinical decision-making, yet several technical and interpretative pitfalls can compromise diagnostic accuracy. This second part of a two-part review examines common factors that lead to overestimation or underestimation of stenosis severity, with attention to how these errors influence CAD-RADS categorization, downstream testing, and patient management. Using case-based examples, we describe key contributors to misinterpretation and present practical strategies to mitigate these pitfalls. By recognizing these nuances and employing a structured, standardized interpretive approach, readers can minimize errors in stenosis assessment and enhance the reliability of CCTA as a noninvasive tool for evaluating coronary artery disease.

Alcohol use disorder (AUD) is a preventable non-communicable disease that affects multiple organs and organ systems across all age groups, including the fetus and is a risk factor for developing certain cancers. Furthermore, alcohol intoxication can result in physical trauma to oneself and others, and is a contributing factor in road accidents. Early recognition of AUD is critical for improving diagnosis, management, and outcomes. Accurate diagnosis relies on comprehensive clinical evaluation and patient history. However, denial of AUD, inebriation, and lack of awareness of problems associated with AUD, can prevent early identification of the disease. AUD-associated organ damage manifests in several ways and can be recognized on imaging modalities including ultrasound, CT, and MRI. Detection of these imaging features is useful in raising suspicion of AUD or diagnosing chronic alcohol use. Radiologists should be aware of the manifestations of alcohol's effects across various organ systems and aid in the early detection and treatment of AUD. In this two-part review, the authors present a comprehensive image-based review illustrating the effects of AUD on different organ systems at various stages. This second part focuses on the imaging manifestations in the central nervous system, fetal health, cardiovascular system, and musculoskeletal system. Additionally, a brief overview of secondary imaging manifestations of alcohol use, associated with trauma and cancers, will be presented.