Open AccessRenal cell carcinoma: preoperative evaluate the grade of histological malignancy using volumetric histogram analysis derived from magnetic resonance diffusion kurtosis imaging
Author(s) -
Ke Wang,
Jingyun Cheng,
Yan Wang,
Guangyao Wu
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.04.14
Subject(s) - kurtosis , receiver operating characteristic , histogram , medicine , grading (engineering) , magnetic resonance imaging , renal cell carcinoma , nuclear medicine , diffusion mri , radiology , mathematics , pathology , artificial intelligence , computer science , statistics , civil engineering , engineering , image (mathematics)
To investigate the value of histogram analysis of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in the assessment of renal cell carcinoma (RCC) grading before surgery.