Open AccessIncorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients
Author(s) -
Jung Youn Kim,
Ji Eun Park,
Youngheun Jo,
Woo Hyun Shim,
Soo Jung Nam,
Jeong Hoon Kim,
RohEul Yoo,
Seung Hong Choi,
Ho Sung Kim
Publication year - 2018
Publication title -
neuro-oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.005
H-Index - 125
eISSN - 1523-5866
pISSN - 1522-8517
DOI - 10.1093/neuonc/noy133
Subject(s) - medicine , effective diffusion coefficient , radiomics , nuclear medicine , diffusion mri , glioblastoma , area under the curve , receiver operating characteristic , magnetic resonance imaging , perfusion scanning , radiology , perfusion , cancer research
Pseudoprogression is a diagnostic challenge in early posttreatment glioblastoma. We therefore developed and validated a radiomics model using multiparametric MRI to differentiate pseudoprogression from early tumor progression in patients with glioblastoma.
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