| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8822802 | European Journal of Radiology | 2018 | 6 Pages |
Abstract
MRI had high diagnostic accuracy for SVI on histopathology. It provided added diagnostic value to clinical/Partin based SVI-prediction models alone. A key factor is radiologist's experience, though no inter-observer variability could be examined due to the availability of a single expert radiologist.
Keywords
RARPEBRTPPVDCEROCPSASVIAUCECePCApositive predictive valuenegative predictive valueMRIMagnetic resonance imagingProstate cancerconfidence intervalExtracapsular extensionClinical stageTumor stagingNPV یا negative predictive valuearea under the curveodds ratioGleason scoreprostate-specific antigenExternal beam radiotherapyRobot-assisted radical prostatectomyMulti-parametricdynamic contrast-enhancedSeminal vesicle
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Authors
Nikolaos Grivas, Karel Hinnen, Jeroen de Jong, Wilma Heemsbergen, Luc Moonen, Thelma Witteveen, Henk van der Poel, Stijn Heijmink,