Breath-hold three-dimensional CT of the liver with multi-detector row helical CT.
PURPOSE: To compare image quality on transverse source images and coronal and sagittal reformations to determine the feasibility of using single-breath-hold three-dimensional liver computed tomography (CT) with multi-detector row helical CT in patients suspected of having hepatic metastases. MATERIALS AND METHODS: Fifty-three patients underwent the protocol. Coronal and sagittal reformations were constructed. Images were reviewed for duration of scan acquisition and length and adequacy of z-axis coverage. Reformations were scored for visualization of portal and hepatic vein branches, liver edge sharpness, cardiac pulsation and respiratory motion artifacts, noise due to mottle, and overall impression. RESULTS: Mean z-axis coverage was 207 mm +/- 33 (SD) (range, 145-280 mm), with a mean acquisition time of 10.96 seconds +/- 1.78 (range, 7.73-14.93 seconds). In 44 (83%) patients, the entire liver was imaged on a single helical scan. Artifact from cardiac motion was not identified on the transverse source images in any patient but was identified on coronal images in eight (15%) and on sagittal images in seven (13%). Similarly, noise due to mottle was not identified on the transverse source images but was identified on coronal images in seven (13%) patients and on sagittal images in six (11%). CONCLUSION: It is feasible to perform single-breath-hold three-dimensional liver CT with multi-detector row helical CT technology. Reformations provide a unique perspective with which to view the liver and may improve diagnostic capacity.
Duke Scholars
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Related Subject Headings
- Tomography, X-Ray Computed
- Sensitivity and Specificity
- Radiographic Image Enhancement
- Nuclear Medicine & Medical Imaging
- Middle Aged
- Male
- Liver Neoplasms
- Liver
- Imaging, Three-Dimensional
- Humans
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Tomography, X-Ray Computed
- Sensitivity and Specificity
- Radiographic Image Enhancement
- Nuclear Medicine & Medical Imaging
- Middle Aged
- Male
- Liver Neoplasms
- Liver
- Imaging, Three-Dimensional
- Humans