TY  - JOUR
AU  - Bickelhaupt, Sebastian
AU  - Paech, Daniel
AU  - Kickingereder, Philipp
AU  - Steudle, Franziska
AU  - Lederer, Wolfgang
AU  - Daniel, Heidi
AU  - Götz, Michael
AU  - Gählert, Nils
AU  - Tichy, Diana
AU  - Wiesenfarth, Manuel
AU  - Laun, Frederik
AU  - Maier-Hein, Klaus
AU  - Schlemmer, Heinz-Peter
AU  - Bonekamp, David
TI  - Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.
JO  - Journal of magnetic resonance imaging
VL  - 46
IS  - 2
SN  - 1053-1807
CY  - New York, NY
PB  - Wiley-Liss
M1  - DKFZ-2017-01507
SP  - 604 - 616
PY  - 2017
AB  - To assess radiomics as a tool to determine how well lesions found suspicious on breast cancer screening X-ray mammography can be categorized into malignant and benign with unenhanced magnetic resonance (MR) mammography with diffusion-weighted imaging and T2 -weighted sequences.From an asymptomatic screening cohort, 50 women with mammographically suspicious findings were examined with contrast-enhanced breast MRI (ceMRI) at 1.5T. Out of this protocol an unenhanced, abbreviated diffusion-weighted imaging protocol (ueMRI) including T2 -weighted, (T2 w), diffusion-weighted imaging (DWI), and DWI with background suppression (DWIBS) sequences and corresponding apparent diffusion coefficient (ADC) maps were extracted. From ueMRI-derived radiomic features, three Lasso-supervised machine-learning classifiers were constructed and compared with the clinical performance of a highly experienced radiologist: 1) univariate mean ADC model, 2) unconstrained radiomic model, 3) constrained radiomic model with mandatory inclusion of mean ADC.The unconstrained and constrained radiomic classifiers consisted of 11 parameters each and achieved differentiation of malignant from benign lesions with a .632 + bootstrap receiver operating characteristics (ROC) area under the curve (AUC) of 84.2
LB  - PUB:(DE-HGF)16
C6  - pmid:28152264
DO  - DOI:10.1002/jmri.25606
UR  - https://inrepo02.dkfz.de/record/125374
ER  -