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Liver MRI at 3.0 Tesla
- Source :
- Journal of Computer Assisted Tomography. 36:546-553
- Publication Year :
- 2012
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2012.
-
Abstract
- To prospectively and intraindividually compare liver magnetic resonance imaging (MRI) using single-source and dual-source parallel radiofrequency (RF) transmissions at 3.0-T for image quality, lesion detectability, and lesion contrast.Ninety-nine patients with 139 liver lesions underwent liver MRI at 3.0-T. Two radiologists performed a consensus review of T2-weighted images (T2WI), heavily T2WI (HT2WI), gadoxetic acid-enhanced hepatobiliary images, and diffusion-weighted imaging using single-source and dual-source RF transmissions with regard to image quality and lesion detectability. Contrast ratios between liver lesions and liver parenchyma were also calculated.Image quality was better with dual-source than with single-source at T2WI and HT2WI (P0.05), but lesion detectabilities were similar for all sequences. There was no significant difference in mean contrast ratios for all sequences (P0.05).Dual-source RF transmission provides a better image quality with T2WI and HT2WI than with single-source. However, 2 techniques showed similar lesion detectability.
- Subjects :
- Adult
Gadolinium DTPA
Liver Cirrhosis
Male
medicine.medical_specialty
Carcinoma, Hepatocellular
Image quality
Biopsy
media_common.quotation_subject
Contrast Media
Sensitivity and Specificity
Liver mri
Lesion
Image Interpretation, Computer-Assisted
medicine
Humans
Contrast (vision)
Dual source
Radiology, Nuclear Medicine and imaging
Prospective Studies
Aged
media_common
Aged, 80 and over
medicine.diagnostic_test
business.industry
Liver Diseases
Rf transmission
Magnetic resonance imaging
Middle Aged
Hepatitis B
Hepatitis C
Magnetic Resonance Imaging
Diffusion Magnetic Resonance Imaging
ROC Curve
Female
Radiology
medicine.symptom
Artifacts
Hemangioma
business
Liver parenchyma
Subjects
Details
- ISSN :
- 03638715
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Journal of Computer Assisted Tomography
- Accession number :
- edsair.doi.dedup.....9e82b1bc818f73a036c7324b6e5b72c7