No abstract available
Are we reacting adequately to a constantly changing clinical and scientific environment, regarding our patients, the economy, or new technologies, such as artificial intelligence? The authors of this review article have identified 3 major challenges regarding the use of magnetic resonance imaging (MRI) in our clinical practice today and tomorrow: (1) the need for faster acquisitions, optimized workflows, and higher patient throughput, making MRI broadly available and applicable, also under the light...
No abstract available
Modern medicine cannot be imagined without the diagnostic capabilities of computed tomography (CT). Although the past decade witnessed a tremendous increase in scan speed, volume coverage, and temporal resolution, along with a considerable reduction of radiation dose, current trends in CT aim toward more patient-centric, tailored imaging approaches that deliver diagnostic information being personalized to each individual patient. Functional CT with dual-and multienergy, as well as dynamic, perfusion...
Iodinated contrast media (CM) are utilized in approximately 40% of the 300 million computed tomography (CT) scans undertaken annually. This review focuses on the physicochemical properties and safety of iodinated CM, and the development of new x-ray CM, and it explores methods to optimize CT scanning parameters. It concludes that good x-ray CM should have high structural stability, hydrophilicity, and CT attenuation; low viscosity, osmolality, and protein binding; no metabolism and tissue accumulation;...
Computed tomography (CT) has evolved over decades, offering superb morphologic imaging with isotropic resolution at rapid acquisition times. The latest developments in hardware, such as photon-counting and ultrahigh-resolution detectors, together with breakthroughs in software technology have further improved spatial and temporal resolution while steadily reducing radiation exposure. These achievements enable CT for functional imaging and make high-quality imaging more accessible through workflow...
Today's health care environment is shifting rapidly, driven by demographic change and high economic pressures on the system. Furthermore, modern precision medicine requires highly accurate and specific disease diagnostics in a short amount of time. Future imaging technology must adapt to these challenges.
Ultrasound is the most widely used medical imaging modality worldwide. It is abundant, extremely safe, portable, and inexpensive. In this review, we consider some of the current development trends for ultrasound imaging, which build upon its current strength and the popularity it experiences among medical imaging professional users.
Over the past 120 years, continuous developments in medical imaging has improved diagnosis and treatment for many diseases and has thereby improved treatment outcome and quality of life of many patients. The number of computed tomography (CT) examinations is today increasing by 4% per year worldwide, for a total of approximately 300 million CT scans per year. About 40% of CT scans are contrast enhanced. Intravenous iodinated contrast media are commonly used for contrast enhancement in CT scans to...
No abstract available
Radiological images have been assessed qualitatively in most clinical settings by the expert eyes of radiologists and other clinicians. On the other hand, quantification of radiological images has the potential to detect early disease that may be difficult to detect with human eyes, complement or replace biopsy, and provide clear differentiation of disease stage. Further, objective assessment by quantification is a prerequisite of personalized/precision medicine. This review article aims to summarize...
This review summarizes 30 years of experience in the development and clinical use of magnetic resonance (MR) contrast agents. Despite their undisputable usefulness for disease diagnosis, gadolinium (Gd)-based contrast agents (GBCAs) have gone through 2 major safety crises. Approximately 10 years ago, the regulatory agencies decided to restrict the use of GBCAs to minimize the risk of nephrogenic systemic fibrosis in patients with severe renal insufficiency. Yet, following the recent discovery of...
Although artificial intelligence (AI) has been a focus of medical research for decades, in the last decade, the field of radiology has seen tremendous innovation and also public focus due to development and application of machine-learning techniques to develop new algorithms. Interestingly, this innovation is driven simultaneously by academia, existing global medical device vendors, and—fueled by venture capital—recently founded startups. Radiologists find themselves once again in the position to...
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