Literature DB >> 16163021

Distinguishing hepatic metastases from hemangiomas: qualitative and quantitative diagnostic performance through dual echo respiratory-triggered fast spin echo magnetic resonance imaging.

Young H Kim1, Sanjay Saini, Michael A Blake, Mukesh Harisinghani, Yi-You Chiou, Won Jin Lee, Jeong-Sik Yu, Peter F Hahn.   

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.
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.
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.
CONCLUSION: Liver lesion T2 relaxation times calculated from dual echo FSE images provide information useful in discriminating metastases from hemangiomas, as does reader opinion.

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Year:  2005        PMID: 16163021     DOI: 10.1097/01.rct.0000172671.71446.33

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  5 in total

1.  Correcting partial volume effects in biexponential T2 estimation of small lesions.

Authors:  Chuan Huang; Jean-Philippe Galons; Christian G Graff; Eric W Clarkson; Ali Bilgin; Bobby Kalb; Diego R Martin; Maria I Altbach
Journal:  Magn Reson Med       Date:  2014-04-17       Impact factor: 4.668

2.  T2 mapping from highly undersampled data by reconstruction of principal component coefficient maps using compressed sensing.

Authors:  Chuan Huang; Christian G Graff; Eric W Clarkson; Ali Bilgin; Maria I Altbach
Journal:  Magn Reson Med       Date:  2011-08-16       Impact factor: 4.668

3.  Differentiation of hepatic tumors by use of image contrast with T2-weighted MRI.

Authors:  Akio Ogura; Katsumi Hayakawa; Tosiaki Miyati; Fumie Maeda; Akira Miyai; Fumito Saeki; Takaharu Murata
Journal:  Radiol Phys Technol       Date:  2008-11-11

4.  Characterization of focal liver lesions using quantitative techniques: comparison of apparent diffusion coefficient values and T2 relaxation times.

Authors:  Andrzej Cieszanowski; Agnieszka Anysz-Grodzicka; Wojciech Szeszkowski; Bartosz Kaczynski; Edyta Maj; Barbara Gornicka; Mariusz Grodzicki; Ireneusz P Grudzinski; Anna Stadnik; Marek Krawczyk; Olgierd Rowinski
Journal:  Eur Radiol       Date:  2012-06-15       Impact factor: 5.315

5.  Abdominal T2-Weighted Imaging and T2 Mapping Using a Variable Flip Angle Radial Turbo Spin-Echo Technique.

Authors:  Mahesh B Keerthivasan; Jean-Philippe Galons; Kevin Johnson; Lavanya Umapathy; Diego R Martin; Ali Bilgin; Maria I Altbach
Journal:  J Magn Reson Imaging       Date:  2021-07-13       Impact factor: 4.813

  5 in total

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