Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction-Reference-Cited by-同舟云学术

Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction

Published:2014-12 Issue:10 Volume:32 Page:1198-1205
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Huang Zhibin,Yuh Kevin A.,Lo Simon S.,Grecula John C.,Sammet Steffen,Sammet Christina L.,Jia Guang,Knopp Michael V.,Wu Qiang,Beauchamp Norman J.,Yuh William T.C.,Wang Roy,Mayr Nina A.

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

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4. In vivo monitoring of tumor angiogenesis with MR imaging;Brasch;Acad Radiol,2000

5. MR microcirculation assessment in cervical cancer: correlations with histomorphological tumor markers and clinical outcome;Mayr;J Magn Reson Imaging,1999

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