To assess which specific morphologic features, enhancement patterns, or pharmacokinetic parameters on breast Magnetic Resonance Imaging (MRI) could predict a false-negative outcome of Proton MR Spectroscopy ( 1 H MRS) exam in patients with invasive breast cancer. Sixteen patients with invasive ductal carcinoma of the breast were prospec-tively included and underwent both, contrast-enhanced breast MRI and 1 H MRS examination of the breast. The MR images were reviewed and the lesions morphologic features, enhancement patterns and pharmacokinetic parameters (k21-value) were scored according to the ACR BI-RADS-MRI lexicon criteria. For the in vivo MRS studies, each spectrum was evaluated for the presence of choline based on consensus reading. Breast MRI and 1 H MRS data were compared to histopathologic findings. In vivo 1 H MRS detected a choline peak in 14/16 (88%) cancers. A false-negative 1 H MRS study occurred in 2/16 (14%) cancer patients. K21 values differed between both groups: the 14 choline positive cancers had k21 values ranging from 0.01 to 0.20/second (mean 0.083/second), whereas the two choline-negative cancers showed k21 values of 0.03 and 0.05/second, respectively (mean 0.040/second). Also enhancement kinetics did differ between both groups; typically both cancers that were choline-negative showed a late phase plateau (100%), whereas this was only shown in 51/4 (36%) of the choline positive cases. There was no difference between both groups with regard to morphologic features on MRI. This study showed that false-negative 1 H MRS examinations do occur in breast cancer patients, and that the presence of a choline peak on 1 H MRS as malignancy marker is related to the k21 value of the invasive tumor being imaged.Keywords breast cancer; k21-value; magnetic resonance imaging; proton MR spectroscopy Contrast-enhanced breast magnetic resonance imaging (MRI) detects breast cancer with almost 100% sensitivity, and plays an increasingly important role in breast cancer detection and staging (1). However, the specificity of breast MRI is rather variable, ranging from 37% to 97%, resulting in moderate false-positive rates and unnecessary biopsies (2-5).To optimize specificity in breast MRI combined high spatial-resolution imaging and rapid dynamic imaging for concurrent evaluation of detailed lesion morphology characteristics and