Although the spread of LA was reproducible, the anesthetic effect was unpredictable, even with a standardized ultrasound-guided technique in volunteers. While it can be assumed that approximately 4 vertebral levels are covered by 20 ml LA, the somatic distribution of the thoracic paravertebral blockade remains unpredictable. In a significant percentage, the LA distributes into the epidural space, prevertebral, or to the contralateral side.

ObjectivesTo assess whether using the Tree flowchart obviates unnecessary magnetic resonance imaging (MRI)-guided biopsies in breast lesions only visible on MRI.MethodsThis retrospective IRB-approved study evaluated consecutive suspicious (BI-RADS 4) breast lesions only visible on MRI that were referred to our institution for MRI-guided biopsy. All lesions were evaluated according to the Tree flowchart for breast MRI by experienced readers. The Tree flowchart is a decision rule that assigns levels of suspicion to specific combinations of diagnostic criteria. Receiver operating characteristic (ROC) curve analysis was used to evaluate diagnostic accuracy. To assess reproducibility by kappa statistics, a second reader rated a subset of 82 patients.ResultsThere were 454 patients with 469 histopathologically verified lesions included (98 malignant, 371 benign lesions). The area under the curve (AUC) of the Tree flowchart was 0.873 (95% CI: 0.839–0.901). The inter-reader agreement was almost perfect (kappa: 0.944; 95% CI 0.889–0.998). ROC analysis revealed exclusively benign lesions if the Tree node was ≤2, potentially avoiding unnecessary biopsies in 103 cases (27.8%).ConclusionsUsing the Tree flowchart in breast lesions only visible on MRI, more than 25% of biopsies could be avoided without missing any breast cancer.Key Points• The Tree flowchart may obviate >25% of unnecessary MRI-guided breast biopsies. • This decrease in MRI-guided biopsies does not cause any false-negative cases. • The Tree flowchart predicts 30.6% of malignancies with >98% specificity. • The Tree’s high specificity aids in decision-making after benign biopsy results. Electronic supplementary materialThe online version of this article (doi:10.1007/s00330-017-4755-6) contains supplementary material, which is available to authorized users.

Purpose: To improve multiple sclerosis (MS) research by introducing a new type of contrast, namely, the combination of fluid-attenuated inversion recovery (FLAIR) data acquired at 3.0 T and 7.0 T susceptibility-weighted imaging (SWI) phase data. The approach of this new contrast is whole-brain coverage with 3.0 T-FLAIR data for lesion detection-currently limited at 7.0 T due to specific absorption rate (SAR) limits-overlaid with high-resolution, small vessel, and iron-related 7.0 T SWI contrast. Lesion analysis in terms of penetrating veins and local iron depositions were performed. Materials and Methods:Data from 10 MS patients were acquired at 3.0 T and at 7.0 T. FLAIR data, acquired at 3.0 T, were registered to 7.0 T SWI phase data and SWI image processing was performed using 3.0 T FLAIR data instead of SWI magnitude data.Results: A total of 299 MS plaques were detected in eight MS patients. Penetrating veins were found in 75 MS plaques, iron depositions in 48 MS plaques, and veins accompanied with iron depositions in 44 MS plaques.Conclusion: FLAIR-SWI provides radiologically known, hyperintense definition of MS lesions overlaid with highresolution visualization of iron deposits and venous blood vessels and offers new insights into MS lesions.

• 3 Tesla breast MRI allows an accurate diagnosis of breast cancer • The BI-RADS® descriptors help provide a confident diagnosis • The shape, margin, enhancement pattern and kinetics are the most important features • An irregular shape and margin, heterogeneous enhancement and type-3 kinetics indicate malignancy.

• Longitudinal 7 T Magnetic Resonance Imaging study of intralesional veins in MS patients. • Venous volumes are significantly increased in newly detected and established MS plaques. • Venous volumes in established MS plaques show a trend to decrease with time.