Diagnostic Value of Contrast-Enhanced Dual-Energy Computed Tomography in the Pancreatic Parenchymal and Delayed Phases for Pancreatic Cancer
<b>Background/Objectives</b>: The usefulness of dual-energy computed tomography (DECT) for low absorption in the parenchymal phase and contrast effects in the delayed phase for pancreatic cancer is not clear. Therefore, the diagnostic capability of low-KeV images obtained using DECT for pancreatic cancer in the pancreatic parenchymal and delayed phases was evaluated quantitatively and qualitatively. <b>Methods</b>: Twenty-five patients with pancreatic cancer who underwent contrast-enhanced DECT were included. A total of 50 and 70 KeV CT images, classified as low-keV and conventional CT-equivalent images, were produced, respectively. The tumor-to-pancreas contrast (Hounsfield units [HU]) in the pancreatic parenchymal and delayed phases was calculated by subtracting the CT value of the pancreatic tumor from that of normal parenchyma. <b>Results</b>: The median tumor-to-pancreas contrast on 50 KeV CT in the pancreatic parenchymal phase (133 HU) was higher than that on conventional CT (68 HU) (<i>p</i> < 0.001). The median tumor-to-pancreas contrast in the delayed phase was -28 HU for 50 KeV CT and -9 HU for conventional CT (<i>p</i> = 0.545). For tumors < 20 mm, the tumor-to-pancreas contrast of 50 KeV CT (-39 HU) had a significantly clearer contrast effect than that of conventional CT (-16.5 HU), even in the delayed phase (<i>p</i> = 0.034). <b>Conclusions</b>: These 50 KeV CT images may clarify the low-absorption areas of pancreatic cancer in the pancreatic parenchymal phase. A good contrast effect was observed in small pancreatic cancers on 50 KeV delayed-phase images, suggesting that DECT is useful for the visualization of early pancreatic cancer with a small tumor diameter.
Authors
- Yuichi Suzuki (ORCID: https://orcid.org/0009-0009-4456-5314)
- Sho Hasegawa (ORCID: https://orcid.org/0000-0002-1671-0643)
- Yasushi Ichikawa (ORCID: https://orcid.org/0000-0002-7866-2907)
- Shin Maeda (ORCID: https://orcid.org/0000-0002-0246-1594)
- Itaru Endo (ORCID: https://orcid.org/0000-0001-5520-8114)
- Yusuke Kurita (ORCID: https://orcid.org/0000-0003-2482-6707)
- Daisuke Utsunomiya (ORCID: https://orcid.org/0000-0002-1723-1724)
- Noritoshi Kobayashi (ORCID: https://orcid.org/0000-0002-9181-3722)
- Kensuke Kubota (ORCID: https://orcid.org/0000-0002-3703-5405)
- Shingo Koyama (ORCID: https://orcid.org/0000-0002-9925-059X)
- Kunihiro Hosono (ORCID: https://orcid.org/0000-0001-6901-4601)
- Atsushi Nakajima (ORCID: https://orcid.org/0000-0003-3811-9704)
- Kuniyasu Irie (ORCID: https://orcid.org/0000-0002-7412-6293)
Institutions
- Yokohama City University (JP)
Publication Details
- Journal
- Tomography
- Published
- 2024-10-07
- DOI
- https://doi.org/10.3390/tomography10100117
- Citations
- 3
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.55