Abstract | OBJECTIVE: MATERIALS AND METHODS: Eighteen consecutive patients (17 men and one woman, age range: 31-73 years) with 22 HCCs underwent examinations with gadoxetic acid enhanced MRI and gadobenate dimeglumine-enhanced MRI on a 3.0-Tesla unit. The diagnosis of HCC was established after surgical resection and pathological conformation. Three observers independently reviewed each MR image in a random order on a tumor-by- tumor basis. The diagnostic accuracy of these techniques for the detection of HCC was assessed by performing an alternative free-response receiver operating characteristic (ROC) analysis. The sensitivity and positive predictive values were evaluated. RESULTS: The average value of the area under the ROC curve (Az) for gadoxetic acid enhanced MRI (0.887) was not significantly different from the Az (0.899) for gadobenate dimeglumine-enhanced MRI (p > 0.05). The overall sensitivities of gadoxetic acid enhanced MRI and gadobenate dimeglumine-enhanced MRI were 80% and 83%, respectively, with no significant difference (p > 0.05). The differences of the positive predictive values for the two contrast agents for each observer were not statistically significant (p > 0.05). CONCLUSION:
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Authors | Yulri Park, Seong Hyun Kim, Seung Hoon Kim, Yong Hwan Jeon, Jongmee Lee, Min Ju Kim, Dongil Choi, Won Jae Lee, Heejung Kim, Ji Hyun Koo, Hyo Keun Lim |
Journal | Korean journal of radiology
(Korean J Radiol)
2010 Jul-Aug
Vol. 11
Issue 4
Pg. 433-40
ISSN: 2005-8330 [Electronic] Korea (South) |
PMID | 20592927
(Publication Type: Comparative Study, Journal Article)
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Chemical References |
- Organometallic Compounds
- gadolinium ethoxybenzyl DTPA
- gadobenic acid
- Meglumine
- Gadolinium DTPA
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Topics |
- Adult
- Aged
- Carcinoma, Hepatocellular
(diagnosis)
- Female
- Gadolinium DTPA
- Humans
- Image Interpretation, Computer-Assisted
- Liver Neoplasms
(diagnosis)
- Magnetic Resonance Imaging
(methods)
- Male
- Meglumine
(analogs & derivatives)
- Middle Aged
- Organometallic Compounds
- Predictive Value of Tests
- ROC Curve
- Sensitivity and Specificity
- Statistics, Nonparametric
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