Application of classification trees for the qualitative differentiation of focal liver lesions suspicious for metastasis in gadolinium-EOB-DTPA-enhanced liver MR imaging.

Schelhorn, J; Benndorf, M; Dietzel, M; Burmeister, H P; Kaiser, W A; Baltzer, P A T

Schelhorn, J; Benndorf, M; Dietzel, M; Burmeister, H P; Kaiser, W A; Baltzer, P A T.

Affiliation

Schelhorn J; Department of Radiology and Nuclear Medicine, Sophien und Hufeland Klinikum, Weimar.

Rofo ; 184(9): 788-94, 2012 Sep.

Article in En | MEDLINE | ID: mdl-22618476

Subject(s)

Algorithms; Gadolinium DTPA; Image Interpretation, Computer-Assisted/methods; Liver Neoplasms/diagnosis; Liver Neoplasms/secondary; Magnetic Resonance Imaging/methods; Pattern Recognition, Automated/methods; Adult; Aged; Contrast Media; Decision Support Techniques; Female; Humans; Image Enhancement/methods; Male; Middle Aged; Reproducibility of Results; Sensitivity and Specificity

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Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Pattern Recognition, Automated / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Gadolinium DTPA / Liver Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Qualitative_research Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Rofo Year: 2012 Document type: Article

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