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Distinguishing hepatic metastases from hemangiomas: qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging.
- Source :
-
Journal of computer assisted tomography [J Comput Assist Tomogr] 2005 Sep-Oct; Vol. 29 (5), pp. 571-9. - Publication Year :
- 2005
-
Abstract
- Objective: To determine the relative value of qualitative (reader opinion) and quantitative (values derived from dual echo T2 fast spin echo [FSE]) measures in distinguishing hepatic metastases from hemangiomas.<br />Methods: Forty-nine patients with hemangiomas and 23 with metastases were studied with dual echo respiratory-triggered FSE and dynamic 2-dimensional spoiled gradient echo (GRE) imaging. Lesion T2 was estimated from signal intensity ratios on the first and second echoes. Two experienced radiologists independently evaluated groups of images based on 5 separate qualitative measures: first echo FSE, second echo FSE, first and second echo FSE, dynamic GRE, and all images together.<br />Results: The mean calculated T2s were 226 +/- 74 milliseconds for hemangiomas and 105 +/- 22 milliseconds for metastases (P < 0.001). A T2 cutoff of 130 milliseconds distinguished metastases from hemangiomas with a sensitivity of 94%, specificity of 91%, and accuracy of nearly 94%. There was no significant difference between the best quantitative measure and the best qualitative measure for either reader.<br />Conclusion: Liver lesion T2 relaxation times calculated from dual echo FSE images provide information useful in discriminating metastases from hemangiomas, as does reader opinion.
- Subjects :
- Adult
Aged
Chi-Square Distribution
Contrast Media
Diagnosis, Differential
Female
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Sensitivity and Specificity
Statistics, Nonparametric
Hemangioma diagnosis
Liver Neoplasms diagnosis
Liver Neoplasms secondary
Magnetic Resonance Imaging methods
Subjects
Details
- Language :
- English
- ISSN :
- 0363-8715
- Volume :
- 29
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of computer assisted tomography
- Publication Type :
- Academic Journal
- Accession number :
- 16163021
- Full Text :
- https://doi.org/10.1097/01.rct.0000172671.71446.33