2007 Fiscal Year Final Research Report Summary
Assessment of optimization and usefulness of three-dimensional images with 16-channel multislice CT for the diagnosis of the pancreatic and biliary ducts
| Project/Area Number |
18591338
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Nagoya University |
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Principal Investigator |
ITOH Shigeki Nagoya University, School of Medicine, Professor (20184658)
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| Project Period (FY) |
2006 – 2007
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| Keywords | Multislice CT / Multilanar reformatted image / Pancreatobiliary region |
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| Research Abstract |
Multiphase contrast-enhanced CT examinations for the pancreaticobiliary region were performerd with 0.5 mm or 1 mm collimation using a 16-channel multislice CT scanner, and high-resolution multiplanar reformatted images were generated from axial images with 1 mm thickness at 0.5 mm or 0.8 mm intervals. By assessing the degree of contrast enhancement in the aorta, portal venous system, pancreas and liver quantitatively and visually, it was demonstrated that, for elderly patients, it is possible to reduce the dose and rate of contrast material injection by at least 10% while maintaining equivalent contrast enhancement. By assessing high-resolution multiplanar reformatted images, the following items were demonstrated : 1. Multislice CT enables the diagnosis of an anomalous pancraticobiliary ductal junction by showing whether the pancreatic and biliary ducts join within the pancreatic parenchyma, 2. Curved multiplanar reformatted images can improve the depiction of the main pancreatic duct and diagnostic performance for the detection of resectable pancreatic ductal carcinoma, and 3. Coronal reformatted images provide accurate depiction of small pancreatic arteries certainly. Furthermore, by comparing the three-dimensional CT arteriographic images generated by axial images with thickness of 0.5 mm, 1 mm, and 2 mm, it was demonstrated that the image quality of CT pancreatic arteriography, especially for small arteries, can improved by reconstructing axial images with thinner thickness from the data obtained with 0.5 mm collimation
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