Superior mesenteric vein aneurysm: CT and cinematic rendering imaging features
First evaluation of color K-edge image quality using spectral photon-counting CT combined with two contrast agents: A phantom study
The purpose of this study was to assess the image quality of color K-edge imaging obtained with a spectral photon-counting CT (SPCCT) scanner using a spectral phantom with a mixture of iodine-based and gadolinium-based contrast agents.
Beyond algorithms: How agent-based artificial intelligence is changing the future of radiology
Mineralized-tissue MRI: A new standard for sacroiliac joint imaging
Breast cancer imaging without gadolinium-based contrast agent: A review of current applications and future trends
Dynamic contrast-enhanced magnetic resonance imaging remains a cornerstone of breast cancer diagnosis, yet concerns regarding the safety, environmental impact, and cost of gadolinium-based contrast agents are driving the development of gadolinium-based contrast agent-free alternatives. This review outlines emerging non-contrast imaging modalities that support a more sustainable approach to breast cancer diagnosis. Advanced MRI techniques, such as diffusion-weighted imaging and synthetic MRI, provide detailed tissue characterization without the need for contrast agents. In computed tomography (CT), innovations including dual-energy CT and photon-counting detector CT are improving lesion detection and characterization, with photon-counting detector CT offering exceptional spatial resolution. Molecular imaging with positron emission tomography is also advancing beyond F-fluorodeoxyglucose, incorporating dedicated high-resolution systems and novel tracers targeting specific biomarkers, such as 16α-F-fluoro-17β-estradiol for estrogen receptors, fibroblast activation protein inhibitors, and human epidermal growth factor receptor 2-targeted agents. The future of breast imaging is likely to adopt a multimodal strategy, combining these innovations to deliver more accurate, personalized, and sustainable patient care.
From voxel to treatment response: Rethinking the role of imaging in cystic fibrosis in the era of artificial intelligence
Photon-counting CT myocardial perfusion imaging: A future candidate in the guidelines for functional assessment of coronary artery disease
Bioresorbable scaffolds in interventional radiology: Current concepts and future direction
Remarkable progress has been made in the endovascular management of atherosclerotic lesions in recent decades. Despite initial challenges, such as arterial dissection and acute thrombosis, successive technological innovations have led to the development of stents designed to minimize the risk of restenosis and occlusion. Percutaneous transluminal angioplasty, combined with antiplatelet regimens and management of cardiovascular risk factors, is now at the forefront of symptomatic arteriosclerotic lesion treatment. However, a persistent limitation of percutaneous transluminal angioplasty is the permanent implantation of metallic stents. The long-term presence of metallic stents requires prolonged antiplatelet therapy, creates artifacts on imaging, and is associated with late or very late stent failure. All these conditions are linked to significant morbidity and mortality. The purpose of this review was to provide interventional practitioners with a comprehensive overview of the need for bioresorbable stents in interventional radiology practice by briefly reviewing the vascular healing process, and the factors contributing to stent failure, including patient- and stent-related factors, and by exploring the emergence of bioresorbable stents as the next frontier in endovascular therapy. This article illustrates and discusses how bioresorbable scaffolds could transform the landscape of endovascular interventional radiology from head to toe by retracing the major milestones in bioresorbable scaffold development, outlining future technical improvements, and highlighting current clinical evidence and future perspectives.
Breast MR imaging without gadolinium-based contrast agents: A visionary goal or scientific mirage?
Deep learning-based image reconstruction significantly improves image quality of MRI examinations of the orbit at 3 Tesla
The purpose of this study was to assess the benefit of a deep learning-based image reconstruction (DLBIR) for improving image quality in orbital magnetic resonance imaging (MRI) at 3 Tesla (T).
Dual-energy CT for peritoneal metastases: When the right question meets the right technology
Cone-beam CT-guided osteosynthesis of traumatic pelvic fractures: An analysis of 67 patients
The purpose of this study was to assess the technical success, intervention duration, radiation exposure, and safety of cone-beam computed tomography (CBCT)-guided percutaneous screw fixation in treating traumatic pelvic ring and acetabular fractures.
Comparison of spectral performance of three dual-energy CT scanners equipped with a deep-learning image reconstruction algorithm and one photon counting CT scanner: A phantom study
The purpose of this study was to compare the spectral performance of three dual-energy CT (DECT) scanners and one photon-counting CT (PCCT) scanner on virtual monoenergetic images (VMIs) at low-energy levels and on iodine maps.
Photon-counting CT in pediatric patients: A multi-institutional evaluation of protocols and radiation exposure in 4,772 patients
The purpose of this study was to provide protocol guidance and evaluate radiation dose levels in pediatric photon-counting computed tomography (PCCT) applications.
Clarifying the role of dual-energy CT in the diagnosis of radiolucent gallstone of the common bile duct
Beyond coronary artery anatomy: Myocardial characterization by photon-counting detector CT in hypertrophic cardiomyopathy
Transarterial radioembolization challenges immunotherapy as first-line care for hepatocellular carcinoma with portal vein tumor thrombosis
Stress myocardial perfusion imaging with photon-counting CT: Initial validation against reference modalities
The purpose of this study was to evaluate the feasibility and diagnostic performance of stress myocardial perfusion imaging (MPI) using a first-generation dual-source photon-counting CT (PCCT) scanner by comparison with reference standards.
Multiparametric assessment of tumor pathological regression grade of peritoneal metastases from non-mucinous colorectal cancer during neoadjuvant chemotherapy using dual-energy CT
The purpose of this prospective study was to evaluate the diagnostic performance of dual-energy computed tomography (DECT) using a dual-layer detector scanner in assessing the pathological response of peritoneal metastases (PMs) from non-mucinous colorectal cancer to neoadjuvant chemotherapy (NAC).
Identification of structural predictors of lung function improvement in adults with cystic fibrosis treated with elexacaftor-tezacaftor-ivacaftor using deep-learning
The purpose of this study was to evaluate the relationship between structural abnormalities on CT and lung function prior to and after initiation of elexacaftor-tezacaftor-ivacaftor (ETI) in adults with cystic fibrosis (CF) using a deep learning model.
Diagnostic performance of pelvic CT, T1-weighted MRI and mineralized-tissue MRI for the assessment of structural lesions in sacroiliitis in patients with axial spondyloarthritis
The purpose of this study was to evaluate the diagnostic capability of mineralized tissue-magnetic resonance imaging (MT-MRI) to detect erosions, sclerosis, and ankylosis of the sacroiliac joint (SIJ) in patients with axial spondyloarthritis, by comparison with T1-weighted MRI and pelvic computed tomography (CT), using SIJ CT as the standard of reference.
