
This article explores the technical background of dual-energy CT (DECT) imaging along with its basic principles, before turning to a review of the various DECT applications specific to pancreatic imaging. In light of the most recent literature, we will review the constellation of DECT applications available for pancreatic imaging in both oncologic and non-oncologic applications. We emphasize the increased lesion conspicuity and the improved tissue characterization available with DECT post-processing tools. Finally, future clinical applications and opportunities for research will be overviewed.
Diagnosis, Differential, Radiography, Dual-Energy Scanned Projection, Contrast Media; Diagnosis, Differential; Humans; Pancreatic Diseases; Radiographic Image Interpretation, Computer-Assisted; Radiography, Dual-Energy Scanned Projection; Tomography, X-Ray Computed, Contrast Media, Humans, Pancreatic Diseases, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed
Diagnosis, Differential, Radiography, Dual-Energy Scanned Projection, Contrast Media; Diagnosis, Differential; Humans; Pancreatic Diseases; Radiographic Image Interpretation, Computer-Assisted; Radiography, Dual-Energy Scanned Projection; Tomography, X-Ray Computed, Contrast Media, Humans, Pancreatic Diseases, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
