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Purpose: To evaluate the ability of dynamic contrast-enhanced (DCE) 3-T MRI for preoperative differentiation between benign and malignant renal tumors and RCC subtypes., Methods: Sixty consecutive patients undergoing preoperative DCE 3-T MRI of the kidney were evaluated in this retrospective IRB-approved evaluation. Fifty-four malignant tumors and 17 benign tumors upon surgical verification were included. Relative enhancement values of complete lesions and the most enhancing part of the lesions (hotspot) were measured using four repetitions: precontrast, arterial, venous, and delayed., Results: Mean relative enhancement patterns between malignant and benign lesions did not differ significantly during any postcontrast phase (p > 0.05). The highest mean enhancement during all postcontrast phases was identified in clear cell RCC followed by chromophobic RCC. The enhancement pattern in papillary RCC was significantly less than that of non-papillary RCC lesions. Arterial enhancement was an independent predictor for RCC subtypes (papillary vs. non-papillary, p = 0.008). The diagnostic accuracy for differentiation of papillary from non-papillary RCC based on ROC analysis was 76.4% [95% CI 62.2-87.2%]; p < 0.0001., Conclusions: Dynamic contrast-enhanced MRI at 3 T showed intermediate diagnostic capability for differentiation between papillary and non-papillary RCC subtypes but could not differentiate between benign and malignant renal lesions.

Objectives: In the face of multiple available diagnostic criteria in MR-mammography (MRM), a practical algorithm for lesion classification is needed. Such an algorithm should be as simple as possible and include only important independent lesion features to differentiate benign from malignant lesions. This investigation aimed to develop a simple classification tree for differential diagnosis in MRM., Methods: A total of 1,084 lesions in standardised MRM with subsequent histological verification (648 malignant, 436 benign) were investigated. Seventeen lesion criteria were assessed by 2 readers in consensus. Classification analysis was performed using the chi-squared automatic interaction detection (CHAID) method. Results include the probability for malignancy for every descriptor combination in the classification tree., Results: A classification tree incorporating 5 lesion descriptors with a depth of 3 ramifications (1, root sign; 2, delayed enhancement pattern; 3, border, internal enhancement and oedema) was calculated. Of all 1,084 lesions, 262 (40.4 %) and 106 (24.3 %) could be classified as malignant and benign with an accuracy above 95 %, respectively. Overall diagnostic accuracy was 88.4 %., Conclusions: The classification algorithm reduced the number of categorical descriptors from 17 to 5 (29.4 %), resulting in a high classification accuracy. More than one third of all lesions could be classified with accuracy above 95 %., Key Points: • A practical algorithm has been developed to classify lesions found in MR-mammography. • A simple decision tree consisting of five criteria reaches high accuracy of 88.4 %. • Unique to this approach, each classification is associated with a diagnostic certainty. • Diagnostic certainty of greater than 95 % is achieved in 34 % of all cases.

Purpose: To perform a systematic review and meta-analysis to estimate the diagnostic performance of breast proton magnetic resonance (MR) spectroscopy in differentiating benign from malignant lesions and to identify variables that influence the accuracy of MR spectroscopy., Materials and Methods: A comprehensive search of the PubMed database was performed on articles listed until January 6, 2012. The Medical Subject Headings and text words for the terms "breast," "spectroscopy," and "magnetic resonance" were used. Investigations including more than 10 patients at 1.5 T or 3.0 T applying one-dimensional single-voxel MR spectroscopy or spatially resolved MR spectroscopy for differentiation between benign and malignant breast lesions were eligible. A reference standard had to be established either by means of histopathologic examination or imaging follow-up of 12 or more months. Statistical analysis included pooling of diagnostic accuracy, control for data inhomogeneity, and identification of publication bias., Results: Nineteen studies were used for general data pooling. The studies included a total of 1183 patients and 1198 lesions (773 malignant, 452 benign). Pooled sensitivity and specificity were 73% (556 of 761; 95% confidence interval [CI]: 64%, 82%) and 88% (386 of 439; 95% CI: 85%, 91%), respectively. The pooled diagnostic odds ratio (DOR) was 34.30 (95% CI: 16.71, 70.43). For breast cancers versus benign lesions, the area under the symmetric summary receiver operating characteristic curve of MR spectroscopy was 0.88, and the Q* index was 0.81. There was evidence of between-studies heterogeneity regarding sensitivity and DOR (P < .0001). No significant influences of higher field strength, postcontrast acquisition, or qualitative versus quantitative MR spectroscopy measurements were identified. Egger testing confirmed significant publication bias in studies including small numbers of patients (P < .0001)., Conclusion: Breast MR spectroscopy shows variable sensitivity and high specificity in the diagnosis of breast lesions, independent from the technical MR spectroscopy approach. Because of significant publication bias, pooled diagnostic measures might be overestimated.

Due to their different physical origin, X-ray mammography and Magnetic Resonance Imaging (MRI) provide complementary diagnostic information. However, the correlation of their images is challenging due to differences in dimensionality, patient positioning and compression state of the breast. Our automated registration takes over part of the correlation task. The registration method is based on a biomechanical finite element model, which is used to simulate mammographic compression. The deformed MRI volume can be compared directly with the corresponding mammogram. The registration accuracy is determined by a number of patient-specific parameters. We optimize these parameters--e.g. breast rotation--using image similarity measures. The method was evaluated on 79 datasets from clinical routine. The mean target registration error was 13.2mm in a fully automated setting. On basis of our results, we conclude that a completely automated registration of volume images with 2D mammograms is feasible. The registration accuracy is within the clinically relevant range and thus beneficial for multimodal diagnosis., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Purpose: To identify the potential of semi-quantitative enhancement-analysis in breast MRI to predict disease-related death in primary breast cancer patients., Materials and Methods: The present study was planned and conducted according to international recommendations. All patients referred for pretherapeutic staging of primary breast cancer during 24 consecutive months were included into the study collective. They were followed-up by our multidisciplinary breast center. For semi-quantitative MRI-analysis dedicated CAD-software (computer assisted diagnosis) was used. Association between enhancement parameters and disease-related survival was investigated using Cox proportional-hazards -regression (CR)., Results: A total of 115 patients were eligible for CR analysis. Median follow-up time was 52 months. In 15 patients, disease-related death occurred. CR analysis identified four enhancement parameters as independent and significant (P < 0.001) predictors of the endpoint. Coefficients were "Initial enhancement" (B = 0.0166), "Time to peak-enhancement" (B = 1.0573), "Tumor volume" (B = 0.0175), and proportion of "tumor volume" showing "slow initial enhancement" followed by a "persistent" curve-type (B = -0.0586)., Conclusion: This study demonstrates the significant relationship between semi-quantitative enhancement analysis in breast MRI and disease-related death of breast cancer patients. As results were extracted from a routine staging examination, MRI noninvasively provides not only diagnostic information but also outcome data at one step. Future studies should address the impact of these findings on patient management and therapeutic approach., (Copyright © 2012 Wiley Periodicals, Inc.)

Two echo planar imaging diffusion-weighted imaging (DWI) techniques [one breath hold (DWI(bh)), repetition time/echo time (TR/TE) 2100/62 ms; one at free breathing (DWI(fb)), TR/TE 2000/65 ms] were compared regarding diagnosis of focal liver lesions (FLLs) in 45 patients with suspected liver metastasis without prior treatment. Apparent diffusion coefficient values of 46 benign and 67 malignant FLLs were analyzed by receiver operating characteristics (ROC) analysis. DWI(fb) detected more malignant lesions than DWI(bh) (P=.002). Lesion size ≤10 mm was associated with FLLs missed by DWI(bh) (P=.018). Area under the ROC curve of DWI(fb) (0.801) was higher compared to that of DWI(bh) (0.669, P<.0113), demonstrating the diagnostic superiority of DWI(fb)., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is able to detect breast cancer with high sensitivity. Furthermore, this method provides functional information on tissue composition and vascularization. This study aims to identify the potential of DCE-MRI to predict distant metastasis in breast cancer patients using computer assisted interpretation of dynamic enhancement data. For this purpose, 59 consecutive patients with newly diagnosed invasive breast cancer received pretherapeutic DCE-MRI at 1.5 Tesla according to international recommendations. In all patients, follow up interval and occurrence of distant metastasis was documented. For DCE-MRI analysis dedicated software was used (Brevis, Siemens Healthcare, Erlangen, Germany). It allows semiautomatic identification of the most suspect curve in a lesion analyzed. Enhancement parameters assessed were "Initial Enhancement", "Washout", "Peak-Enhancement", and "Time to Peak Enhancement". Cox proportional hazards regression (CPHR) was used to analyze the effect of these parameters on the probability of metachronous distant metastasis. Median follow up period was 52.0 months. 6 patients developed distant metastases between 11 and 35 months after breast cancer diagnosis. In CPHR, Washout could be identified as significant and independent predictor for occurrence of distant metastasis (P = 0.0134). Our initial data demonstrate an association between computer measured enhancement parameters in DCE-MRI and occurrence of distant metastasis by quantification of Washout.

Purpose: To evaluate the diagnostic accuracy of qualitative descriptors alone and in combination for the classification of focal liver lesions (FLLs) suspicious for metastasis in gadolinium-EOB-DTPA-enhanced liver MR imaging., Materials and Methods: Consecutive patients with clinically suspected liver metastases were eligible for this retrospective investigation. 50 patients met the inclusion criteria. All underwent Gd-EOB-DTPA-enhanced liver MRI (T2w, chemical shift T1w, dynamic T1w). Primary liver malignancies or treated lesions were excluded. All investigations were read by two blinded observers (O1, O2). Both independently identified the presence of lesions and evaluated predefined qualitative lesion descriptors (signal intensities, enhancement pattern and morphology). A reference standard was determined under consideration of all clinical and follow-up information. Statistical analysis besides contingency tables (chi square, kappa statistics) included descriptor combinations using classification trees (CHAID methodology) as well as ROC analysis., Results: In 38 patients, 120 FLLs (52 benign, 68 malignant) were present. 115 (48 benign, 67 malignant) were identified by the observers. The enhancement pattern, relative SI upon T2w and late enhanced T1w images contributed significantly to the differentiation of FLLs. The overall classification accuracy was 91.3 % (O1) and 88.7 % (O2), kappa = 0.902., Conclusion: The combination of qualitative lesion descriptors proposed in this work revealed high diagnostic accuracy and interobserver agreement in the differentiation of focal liver lesions suspicious for metastases using Gd-EOB-DTPA-enhanced liver MRI., (© Georg Thieme Verlag KG Stuttgart · New York.)

Purpose: Gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced liver MRI is widely used for detection and differentiation of focal liver lesions. Diffusion weighted imaging (DWI) including apparent diffusion coefficient (ADC) measurements is increasingly utilised as a fast and, with limitations, quantitative method for liver lesion detection and characterisation. Herein we investigate whether the administration of Gd-EOB-DTPA affects DWI., Materials and Methods: 31 consecutive patients referred to standardised liver MRI (1.5T, Gd-EOB-DTPA, 0.025mmol/kg) were retrospectively reviewed. All underwent a breathhold DWI sequence before and after contrast agent administration (EPI-DWI, TR/TE (effective): 2100/62ms, b-values: 0 and 800s/mm(2)). Patients with previously treated liver lesions were excluded. Signal intensity of lesion, parenchyma and noise on DWI images as well as the ADC value were measured after identification by two observers in consensus using manually placed regions of interest. The reference standard was imaging follow-up determined separately by two radiologists. Data analysis included signal-to-noise (SNR) ratio and contrast-to-noise ratio (CNR) calculations, comparisons were drawn by employing multiple Bonferroni corrected Wilcoxon signed-rank tests., Results: 50 malignant and 39 benign lesions were identified. Neither SNR, CNR nor ADC values showed significant differences between pre- and postcontrast DWI. Both pre- and postcontrast ADC values differed significantly between benign and malignant lesions (P<0.001)., Conclusion: We did not identify a significant influence of Gd-EOB-DTPA on DWI of liver lesions. This allows for individual tailoring of imaging protocols according to clinical needs., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Rationale and Objectives: Differential diagnosis of lesions in MR-Mammography (MRM) remains a complex task. The aim of this MRM study was to design and to test robustness of Artificial Neural Network architectures to predict malignancy using a large clinical database., Materials and Methods: For this IRB-approved investigation standardized protocols and study design were applied (T1w-FLASH; 0.1 mmol/kgBW Gd-DTPA; T2w-TSE; histological verification after MRM). All lesions were evaluated by two experienced (>500 MRM) radiologists in consensus. In every lesion, 18 previously published descriptors were assessed and documented in the database. An Artificial Neural Network (ANN) was developed to process this database (The-MathWorks/Inc., feed-forward-architecture/resilient back-propagation-algorithm). All 18 descriptors were set as input variables, whereas histological results (malignant vs. benign) was defined as classification variable. Initially, the ANN was optimized in terms of "Training Epochs" (TE), "Hidden Layers" (HL), "Learning Rate" (LR) and "Neurons" (N). Robustness of the ANN was addressed by repeated evaluation cycles (n: 9) with receiver operating characteristics (ROC) analysis of the results applying 4-fold Cross Validation. The best network architecture was identified comparing the corresponding Area under the ROC curve (AUC)., Results: Histopathology revealed 436 benign and 648 malignant lesions. Enhancing the level of complexity could not increase diagnostic accuracy of the network (P: n.s.). The optimized ANN architecture (TE: 20, HL: 1, N: 5, LR: 1.2) was accurate (mean-AUC 0.888; P: <0.001) and robust (CI: 0.885-0.892; range: 0.880-0.898)., Conclusion: The optimized neural network showed robust performance and high diagnostic accuracy for prediction of malignancy on unknown data., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Purpose: Accurate staging of primary breast cancer is essential for the therapeutic approach. Modern whole-body MR scanners would allow local and distant staging during a single examination. Accordingly, we designed a dedicated protocol for this purpose and prospectively evaluated the diagnostic accuracy., Materials and Methods: 65 consecutive breast cancer patients underwent pre-therapeutic MRI (1.5 T). A bilateral breast protocol (axial: T1w/GRE dynamic contrast-enhanced, T2w/TSE; TA: 10 min) was extended to screen for distant metastasis at one stop without repositioning (coronal: T2w/HASTE, T1w/VIBE; FOV: thorax, abdomen and spine; TA: 90 sec; multichannel surface coils). The standard of reference was S3 guideline-compliant staging examinations. Global assessment regarding the presence of distant metastasis was performed independently by two experienced and blinded radiologists (five-level confidence score). Inter-rater agreement (weighted kappa) and observer scoring were analyzed (contingency tables)., Results: The prevalence of synchronous metastases was 7.7 % (n = 5). The protocol enabled global assessment regarding the presence of distant metastasis with high accuracy (sensitivity: 100 %; specificity: 98.3 %) and inter-rater agreement (kappa: 0.92)., Conclusion: Applying the extended MRI protocol, accurate screening for distant metastasis was possible in combination with a dedicated breast examination., (© Georg Thieme Verlag KG Stuttgart · New York.)

Objective: Perifocal edema, defined as high T2w signal intensity around an enhancing lesion has been described as a specific feature of malignancy. In clinical MR-mammography (MRM), both fatsat and non-fatsat T2w sequences are available. However, there is no consensus on which technique should be used for edema assessment. Consequently, this investigation was performed to compare two commonly used pulse sequences for edema assessment in MRM., Materials and Methods: 321 consecutive patients from a 22 month period were included in this investigation. Further selection criteria were histopathological verification of enhancing lesions and absence of presurgical chemotherapy or biopsy, resulting in 108 malignant and 107 benign lesions. All underwent MRM according to international guidelines including a non-fatsat T2w-TSE sequence (TR/TE: 8900/207 ms) and a short tau inversion recovery fatsat sequence (STIR, TR/TE: 8420/70 ms). All images were acquired in the same orientation (axial) and slice thickness. Two experienced radiologists in consensus rated presence of perifocal edema according to an ordinal scale: 0 = not present, 1 = little, 2 = intermediate, and 3 = distinct. Data analysis was performed using crosstabs and Visual Grading Characteristics (VGC) analysis., Results: Overall sensitivity/specificity was calculated with 53.7%/94.4% (T2w-TSE) and 52.8%/95.3% (STIR). VGC revealed an area under the VGC curve of 0.502 (standard error 0.026), P = 0.814., Conclusion: Perifocal edema is a specific feature of malignancy with moderate sensitivity. VGC analysis did not reveal significant differences between both pulse sequences analysed. Consequently, both T2w-TSE and STIR images are suitable for assessment of perifocal edema., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Purpose: Neurological and smelling disorders (e.g. Alzheimer's disease, sinonasal disease) negatively affect the microstructural integrity of the olfactory bulb's (OB) cortical layers. Recovery processes depend on active restoration of this microstructural integrity enabled by neuroneogenesis in the OB. The aim of this study was to evaluate lamination patterns of the OB and adjacent tract (OT) using high resolution MRI at 3 Tesla (T) as well as MR microscopy at 9.4 T in comparison with histological sections., Material and Methods: Twenty-four human OBs were imaged in vitro using standard (2mm slice thickness) and high resolution (0.2mm slice thickness) T1w and T2w MR imaging at 3T. Based on signal intensity differences, the number of OB layers and the OB lamination patterns were assessed by two observers in consensus. Results were compared using Wilcoxon test. Signal intensity profiles were compared to reference Nissl stained histological sections and imaging results of MR microscopy. OT lamination patterns were assessed and different configurations of cross sectional areas were compared to macroscopic results and OB/OT lamination patterns., Results: Standard resolution at 3T identified three layers in 8.3%, two layers in 83.3%, and one layer in 8.3%. High resolution at 3T (4 layers in 91.7%, 3 layers in 8.3%) significantly performed better (P<0.001). Signal intensity profile analysis at 3T and 9.4 T (yielding up to 6 different signal intensities) correlated with histological sections and enabled quantitative evaluation of OB lamination patterns. 3T MRI of the OT revealed two separate signal intensities in T2w in 73%, a hyperintense core and a hypointense sheath, and the number of OT signal intensities positively correlated (ρ=0.541, P=0.006) with the increasing complexity of the OTs' cross sectional area configurations. Additionally, cross sectional area configurations correlated with macroscopic results (ρ=0.558, P=0.002) and OB lamination patterns (ρ=0.446, P=0.022)., Conclusions: 3T MRI and MR-microscopy indicate the possibility to identify the lamination pattern of the human OB/OT and to reflect the histological status. If further development will be able to provide technical equipment that complies with the condition of human in vivo high resolution imaging achieving a good enough signal noise ratio, the method of signal intensity profile analysis could prospectively enable scientists to assess the OB's microstructural status in neurological and smelling disorders., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Choline (Cho) signal identification and quantification in (1)H MRS are used in breast cancer diagnosis. However, an influence of the gadolinium-based contrast agent on the Cho amplitude has been reported experimentally. This study aims to identify the impact of gadolinium-based contrast agents on Cho detection and quantification in postcontrast breast MRS. Consecutive patients were recruited prospectively and randomly allocated to two groups. Group A received a neutral (gadolinium diethylenetriaminepentaacetic acid bis-methylamide) and group B an ionic (gadolinium diethylenetriaminepentaacetic acid) contrast agent, each at a dosage of 0.1 mmol/kg. First, the presence of Cho was identified visually. Then, the normalized Cho intensity in malignant lesions was quantified. Multivariate analysis was applied to identify independent influencing factors on Cho. Sixty-three lesions were investigated [A, n = 34; B, n = 29; 43 malignant (one bilaterally malignant), 20 benign]. Cho was identified visually in 14 of 20 malignant tumors in group A and 12 of 22 malignant tumors in group B (p = 0.477). Normalized Cho differed significantly (p = 0.001) between groups A (mean, 26.8 ± 6.0 AU) and B (mean, 18.2 ± 12.5 AU). No linewidth differences were identified (p > 0.05). Multivariate analysis revealed only group membership (A versus B) as an independent predictor of Cho (p = 0.017). The results suggest stronger negative effects of an ionic relative to a neutral gadolinium-based contrast agent on breast tumor MRS in vivo. These results should be considered when conducting and comparing quantitative Cho measurements in the breast., (Copyright © 2011 John Wiley & Sons, Ltd.)

Purpose: To investigate the potential of a view-sharing 3D fast gradient-echo sequence using pseudo random trajectories (TWIST) to achieve very short acquisition times with high in-plane resolution and good volume coverage and its application to dynamic contrast-enhanced (DCE) breast magnetic resonance imaging (MRI)., Materials and Methods: Two versions of a 3D fast gradient echo TWIST sequence were implemented and applied to patients: First, an ultrafast TWIST acquisition (TA = 5.7 sec) in combination with a routine DCE MRM protocol to allow the extraction of arterial input functions and to resolve the first pass of the contrast agent. Second, a dynamic full coverage TWIST DCE acquisition (TA = 10.6 sec) in a repeat examination, replacing the routine DCE MRM sequence., Results: The ultrafast acquisition enabled extraction of arterial input functions and the monitoring of the contrast agent's first pass through vessels and lesions. The dynamic full coverage TWIST acquisition captured the initial dynamic slope of the signal time curve of lesions accurately, in contrast to the routine protocol., Conclusion: TWIST acquisitions proved very robust and offer high flexibility in protocol timing. The ultrafast protocol achieved 5.7 seconds time resolution with good image quality and can be combined with any established routine protocol. The full dynamics TWIST DCE protocol offers improved time resolution of the CE dynamic time-course and closely matches the image quality of the routine protocol., (Copyright © 2011 Wiley-Liss, Inc.)

This prospective study on Bell's palsy investigated the value of 3 T MRI as a diagnostic tool to evaluate pathophysiological changes (i.e. edema) of facial nerve segments and the possibility to differentiate patients with high risk for incomplete recovery from patients who recover completely within 3 days after symptoms onset. For this institutional review board approved investigation, thirty patients (14 male, 16 female, mean age 44 years) with Bell's palsy underwent pre and postcontrast 3 T MRI of the cerebellopontine angle. T1-weighted imaging was performed (TR 20.0 ms, TE 2.46 ms, isotropic voxel size: 0.6 mm). Region-of-interest measurements were performed on the healthy and paralyzed side. To obtain normalized values, signal intensity increase percentage (SIIP) values were divided by contralateral results of the healthy side. Signal intensity measurements of examined nerve segments were compared using Wilcoxon and Mann-Whitney U tests and correlated to clinical findings categorized by the House-Brackmann score. The lesion side showed significantly higher signal intensities in the premeatal segment before and after contrast agent administration (P < 0.001). SIIP was highest in the premeatal segment compared to the geniculate ganglion (P < 0.001). Correlation analyses revealed no association between signal intensity measurements, clinical findings or early recovery rates after 3 months (P > 0.05). According to our results, early palsy-associated pathophysiological changes in the facial nerve premeatal segment might also be related to accumulation of proteins and not exclusively to edema. However, contrast agent enhancement quantification was not suitable as a diagnostic tool to distinguish different prognostic groups.

Purpose: Tumor grading (TG) is one of the most widely used prognostic factors in the case of breast cancer. This study aims to identify the potential of magnetic resonance mammography (MRM) to non-invasively assess TG., Materials and Methods: 399 invasive breast cancers were included (IRB approval; standardized clinical MRM protocols). All breast cancers were prospectively evaluated by two experienced (> 500 MRM) and blinded radiologists in consensus. In every cancer a set of 18 previously published MRM descriptors was assessed. These were assessed by univariate and multivariate analysis to identify the potential of MRM to predict TG (X2 statistics; binary logistic regression; area under the ROC curve [AUC])., Results: 8 of 18 MRM descriptors were associated with TG, e. g. internal structure, edema (p < 0.001), as well as skin thickening and destruction of the nipple line (p < 0.05). MRM was feasible to predict TG by multivariate analysis (p < 0.001). The highest potential could be identified to predict well differentiated breast cancers with good prognosis (AUC = 0.930)., Conclusion: MR mammography was able to non-invasively assess tumor grading in a standard protocol. Since tumor grading is a surrogate for overall survival, these results provide further evidence to the clinical application of MR mammography as a noninvasive prognostic tool., (© Georg Thieme Verlag KG Stuttgart · New York.)

Rationale and Objectives: To evaluate the semi-automatic image registration accuracy of X-ray-mammography (XR-M) with high-resolution high-field (3.0T) MR-mammography (MR-M) in an initial pilot study., Material and Methods: MR-M was acquired on a high-field clinical scanner at 3.0T (T1-weighted 3D VIBE ± Gd). XR-M was obtained with state-of-the-art full-field digital systems. Seven patients with clearly delineable mass lesions >10mm both in XR-M and MR-M were enrolled (exclusion criteria: previous breast surgery; surgical intervention between XR-M and MR-M). XR-M and MR-M were matched using a dedicated image-registration algorithm allowing semi-automatic non-linear deformation of MR-M based on finite-element modeling. To identify registration errors (RE) a virtual craniocaudal 2D mammogram was calculated by the software from MR-M (with and w/o Gadodiamide/Gd) and matched with corresponding XR-M. To quantify REs the geometric center of the lesions in the virtual vs. conventional mammogram were subtracted. The robustness of registration was quantified by registration of X-MRs to both MR-Ms with and w/o Gadodiamide., Results: Image registration was performed successfully for all patients. Overall RE was 8.2mm (1 min after Gd; confidence interval/CI: 2.0-14.4mm, standard deviation/SD: 6.7 mm) vs. 8.9 mm (no Gd; CI: 4.0-13.9 mm, SD: 5.4mm). The mean difference between pre- vs. post-contrast was 0.7 mm (SD: 1.9 mm)., Conclusion: Image registration of high-field 3.0T MR-mammography with X-ray-mammography is feasible. For this study applying a high-resolution protocol at 3.0T, the registration was robust and the overall registration error was sufficient for clinical application., (Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.)

Objective: In magnetic resonance imaging (MRI) of the breast, contrast enhancements present as mass or nonmass (NM) lesions. This study aimed to test the usefulness of currently accepted T1-weighted Breast Imaging Reporting and Data System predictors and to determine the incremental value of new T2-weighted predictors for differentiation of benign from malignant NM lesions., Methods: Consecutive patients undergoing surgery after MRI (1.5-T contrast-enhanced T1- and T2-weighted images) were investigated. Lesions were rated by 2 observers in consensus. Breast Imaging Reporting and Data System criteria for NM included spatial distribution, internal enhancement, and dynamic enhancement pattern. Additional criteria on T2-weighted images were signal intensity, presence of intraductal fluid, or cysts at the enhancements location. Independent differentiation criteria (benign vs malignant) were identified by logistic regression followed by receiver operating characteristics analysis., Results: Of 316 patients, 65 demonstrated NM. The NM lesions were split almost equally into malignant (34) and benign (31) histology. Breast Imaging Reporting and Data System predictors did not differentiate benign from malignant lesions, whereas signal intensity and the presence of cysts on contrast-enhanced T2-weighted images did, with a sensitivity of 91.2% and a specificity of 64.5%., Conclusions: Differentiation of NM can be improved using additional T2-weighted images.

Rationale and Objectives: The aim of this study was to evaluate the suitability of 3-T magnetic resonance imaging (MRI) for olfactory bulb volumetry, comparing image quality obtained using different sequences on the basis of physical characteristics in combination with observer performance., Materials and Methods: Twenty-two healthy volunteers (11 men, 11 women; mean age, 25 years) underwent 3-T MRI of the frontal skull base in this prospective study. Imaging was performed using a constructive interference in steady state (CISS) three-dimensional Fourier transformation sequence, a three-dimensional T2-weighted (3D-T2w) sequence, and a two-dimensional T2-weighted (2D-T2w) sequence. The relative performance of sequences was assessed using visual grading characteristic analysis. Interobserver agreement was assessed using κ statistics. For evaluation of physical image quality characteristics, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated and compared using Wilcoxon's test. SNR and CNR measurements were correlated with visual grading results., Results: Visual grading characteristic analysis showed significantly better image quality ratings for the CISS sequence compared to the 3D-T2w and 2D-T2w sequence, and the 2D-T2w sequence performed significantly better compared to the 3D-T2w sequence (P < .001). Interobserver agreement was substantial (κ = 0.66-0.73). Wilcoxon's test revealed significantly higher SNR and CNR values for the 2D-T2w sequence compared to the 3D-T2w and CISS sequences, and SNR and CNR values for the 3D-T2w sequence were significantly higher compared to those for the CISS sequence (P < .001 for each). Significant correlation between SNR and CNR and visual grading was found for the 3D-T2w sequence (SNR: ρ = 0.510, P = .015; CNR: ρ = 0.546, P = .009)., Conclusions: High-resolution 3-T MRI resulted in excellent values for SNR and CNR, suggesting the appropriateness of the sequences for olfactory bulb MRI volumetry. Visual grading characteristic analysis revealed the CISS sequence to be the most suitable for olfactory bulb volumetry., (Copyright © 2011 AUR. Published by Elsevier Inc. All rights reserved.)

Purpose: Hormonal stimulation can induce background enhancement (BE) in MR mammography (MRM). This fact has been assumed to decrease the accuracy of MRM. Consequently, this report investigates: 1. The prevalence of BE in postmenopausal vs. premenopausal women in correlation to hormonal cycle phase (CP). 2. The impact of hormonal status (HS) and BE on diagnostic accuracy., Materials and Methods: Consecutive patients over 22 months with complete HS information (week of CP or postmenopausal) were included in this prospective investigation. Exclusion criteria were any hormonal therapy, hysterectomy as well as cancer proven by biopsy. The standard of reference was histopathology. All MRM scans were acquired using the same protocol (1.5 T, dynamic T 1w GRE after 0.1 mmol/kg bw Gd-DTPA i. v.). Two radiologists rated all examinations in consensus according to BI-RADS. BE was defined as: 0 = missing, 1 = moderate, 2 = distinct., Results: 224 patients (150 postmenopausal, 74 premenopausal, 45 in the second week of CP) were included in this study (83 benign and 141 malignant findings). BE was more frequent in premenopausal women (p = 0.006), but did not differ between CP (p = 0.460). Neither HS nor BE had a significant impact on the diagnostic parameters of MRM (p ≥ 0.375). However, regarding BE, the relative number of false positive (FP) findings was highest (5 / 10; 50 %) in the distinct BE group. Regarding HS, 17 % more FP findings were observed in premenopausal women examined outside the second week of CP., Conclusion: In premenopausal women, HS leads to increased BE of breast tissue, independent of CP. Distinct BE and less pronounced, non-optimal CP may lead to an increased number of false positive findings., (© Georg Thieme Verlag KG Stuttgart · New York.)

Objective: The purpose of our study was to clinically test an extended MR mammography (MRM) protocol for combined local staging (T-staging) and locoregional staging (N-staging) of breast cancer within one single examination using a dedicated whole-body scanner., Subjects and Methods: Fifty-six consecutive primary breast cancer patients without prior treatment underwent MRM and surgicopathological N-staging. The MRM protocol (10 minutes; axial T1-weighted gradient-recalled echo; dynamic contrast-enhanced; T2-weighted; turbo spin-echo) was extended to evaluate axillary lymph nodes (90 seconds; coronal T2-weighted HASTE; T1-weighted volumetric breath-hold examination; field of view, both axillae, supraclavicular nodes, and cervical nodes). A dedicated whole-body scanner was used. First, two experienced radiologists independently rated the presence of lymph node metastasis (present or absent, weighted kappa). Second, predefined descriptors were applied by both readers to differentiate lymph node status. These were statistically analyzed using univariate chi-square statistics, sensitivity and specificity, positive likelihood ratio, diagnostic odds ratio (OR), and multivariate statistics (binary logistic-regression, receiver operating characteristics, and chi-squared automatic interaction detection [CHAID] tree)., Results: Most significant predictors (p < 0.001) of present metastasis were "irregular margin" (diagnostic OR, 14.0), "inhomogeneous cortex" (diagnostic OR, 8.4), "perifocal edema" (positive likelihood ratio, 100) and "asymmetry" (diagnostic OR, 19.5). CHAID tree identified "asymmetry" and "irregular margin" as significant predictors (adjusted-p < 0.05) for present metastasis (PPV: 100%), whereas absence of "asymmetry" and "homogeneous internal structure" were highly predictive of absent metastasis (negative predictive value, 94.3%). Combination of significant descriptors using binary logistic regression revealed an area under the receiver operating characteristic curve of 0.93 (p < 0.001). Interrater agreement was "almost-perfect" (κ = 0.95)., Conclusion: Combined T-staging and locoregional staging (N-staging) was possible within one imaging session using the proposed protocol. Despite a minimal increase in examination time, high diagnostic accuracy and excellent interrater reliability were achieved.

Background and Purpose: Improved MR imaging at higher field strengths enables more detailed imaging of cranial nerves. The aim of this study was to assess the identifiability of the NI in the CPA and IAC by using high-resolution 3T MR imaging., Materials and Methods: Twenty-seven healthy volunteers (13 men and 14 women; mean age, 33 years) underwent 3T MR imaging of the CPA. The section thicknesses of the CISS sequence was 0.4 mm (TR, 12.18 ms; TE, 6.09 ms) using a 12-channel head coil. Evaluation was performed by using MPR mode. Image quality and identifiability of the NI were rated independently by 2 observers according to predefined criteria on an ordinal scale. Interobserver agreement was assessed by κ statistics., Results: Fifty-four NIs were evaluated. Both observers were able to identify the NI in nearly 60% of cases. It was possible to indentify at least 1 NI in 70% of all volunteers in the CPA and/or IAC. Image quality ratings showed a substantial agreement (κ = 0.65) and identifiability ratings an almost perfect (κ = 0.83) agreement., Conclusions: Careful evaluation of all nervous and vascular structures in the CPA and IAC at high-resolution 3T MR imaging allows reliable depiction of the NI.

Purpose: This study was conducted to investigate the appearance of breast lesions in MR mammography (MRM) as a function of size and to identify the potential impact on diagnostic accuracy., Materials and Methods: 936 histologically verified breast lesions (standardized MRM protocol; consecutive 12-year period at our institution, diameter 5 - 50 mm) were prospectively evaluated in consensus by two radiologists with significant MRM experience. For this purpose previously published descriptors (n = 17) were used. These were summarized as the "basic catalog and extended catalog" of descriptors (BC vs. EC). According to a cut-off of 20 mm, the database was divided into the subgroups "small" (n = 669) and "advanced" (n = 267). The diagnostic accuracy of MRM in these two subgroups was then determined using BC and EC, separately (binary logistic regression analysis; AUC analysis)., Results: The majority of descriptors (n = 11) showed a significantly different prevalence in correlation with size (p < 0.05). The diagnostic accuracy of MRM for "advanced" lesions (AUC = 0.969) was significantly higher (p < 0.001). This difference was significantly decreased (p < 0.001), if instead of BC (AUC = 0.865) EC was applied for the assessment of "small" lesions (AUC: 0.908 vs. 0.865)., Conclusion: The typical appearance of breast lesions in MRM depends on lesion size. This resulted in lower diagnostic accuracy in small lesions compared to advanced findings. This difference was able to be significantly decreased by applying the catalog of extended descriptors., (© Georg Thieme Verlag KG Stuttgart · New York.)

Data on the prevalence of persistent olfactory bulb ventricles (OBV) in humans remain contradictory. The aim of this study was to investigate the hypothesis of large cystic-like OBVs filled with cerebrospinal fluid (CSF) as a frequent finding in magnetic resonance imaging (MRI). Fifty normosmic volunteers (25 men and 25 women, mean 40 years) underwent 3 Tesla MRI of the anterior skull base. Normal smell function was determined by testing of the odor threshold discrimination identification score using the Sniffin' Sticks test kit. The voxel size of the constructive interference in steady state (CISS) sequence was 0.4×0.4×0.4 mm (TR 12.18 ms, TE 6.09 ms) using a 12-channel head coil. Image quality was rated by three observers according to predefined criteria on an ordinal scale. Additionally, contrast-to-noise (CNR) and signal-to-noise (SNR) ratios were calculated. Quantitative signal intensity (SI) measurement of olfactory bulb (OB) structures and small Virchow-Robin spaces (VRS) was performed using multi planar reconstruction mode. Ninety-one OBs were eligible for evaluation. Image quality was rated as adequate in 55% and as excellent in 36% of cases. CNR and SNR calculations resulted in values of 21.59 and 19.06, respectively. Wilcoxon signed rank test revealed significant higher SI values for OB center compared to OB surface (P<0.001) and to OB base (P<0.001) but also significant lower SI values compared to small VRS (P<0.001) in 94.5%. In 5.5%, SI measurement revealed signs for CSF-filled structures in the OB. High-resolution 3 Tesla MRI did not verify the hypothesis of large cystic CSF-filled OBVs as a frequent finding although evidence is growing that the hyperintense signal in the center of OBs might be associated with interstitial or finely dispersed CSF/fluid or with tiny, histologically detectable remnants of OBVs., (Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.)

Necrosis sign (NS) is a new descriptor for differential diagnosis of breast lesions in magnetic resonance (MR)-mammography (MRM). This study was designed: (a) to analyze diagnostic accuracy of NS in 1,084 histologically verified breast lesions, (b) to assess performance of NS in subgroups. This study was approved by the local ethical committee. All histologically verified lesions having undergone MR-mammography at our institution over 12 years were evaluated by experienced radiologists (> 500 MRM) according to standard protocols and study design (T1w; 0.1 mmol/kg bw gadolinium diethylenetriamine penta-acetic acid; T2-turbo spin echo (TSE)). Patients with history of breast biopsy (surgically, minimal-invasive), radiation- or chemotherapy ≤ 1 year before MRM were excluded. NS was assessed on T2w-TSE sequences and was rated positive if a hyperintense center in a hypointense lesion could be visualized (chi-squared test). One thousand and eighty-four lesions were available for statistical analysis (648: malignant, 436: benign). NS was significantly associated with malignancy (p < 0.001), providing specificity and positive predictive value (PPV) of 96.1% and 78.8%. Malignant lesions > 20 mm presented significantly more often NS (p < 0.001) than neoplasias ≤ 20 mm. There was no difference regarding prevalence of NS in small versus advanced benign lesions (n.s.), leading to better performance of NS in lesions > 20 mm (PPV: 87.8%). Correlation between NS and Grading of invasive carcinomas was significant. In this study of 1,084 lesions necrosis sign was a specific and highly predictive feature for differential diagnosis in MRM (Specificity: 96.1%; PPV: 78.8%). This particularly counts for advanced lesions (PPV 87.8%). As this new descriptor correlates with Grading, it could be used as an initial estimate of patient's prognosis., (© 2010 Wiley Periodicals, Inc.)

Purpose: MR-Mammography (MRM) is regarded as the most sensitive method for detection of breast cancer without a broad consensus on specificity. There is room for improvement of the existing ACR BIRADS lexicon by adding new and specific descriptors. Dilated ducts have been described in association with papillomas. However, the differential diagnostic value of this finding has not been investigated yet., Materials and Methods: 316 consecutive patients, undergoing histopathologic workup after MR-Mammography were included in this prospective, ethical review board approved study. Two blinded radiologists rated the images in consensus. Ductal obstruction was defined as dilated liquid filled ducts proximal an enhancing lesion. Sensitivity, specificity as well as positive and negative likelihood ratio (LR+, LR-) were calculated., Results: Dilated ducts were found in 60 cases (19%), 20 of these showed an association with enhancing lesions and were categorized as ductal obstruction (6.3%). Malignancy was found in two cases (one invasive ductal carcinoma and one DCIS) and benign tissue in 18 cases (15 papillomas). The difference of ductal obstruction between these groups was found to be highly significant in two-sided Fisher's exact test (p<0.001). Because of the clear association with benign lesions, benign lesions showing ductal obstruction were characterized as true positive findings. Therefore, following diagnostic parameters were calculated: sensitivity 15.4%, specificity 99.0%, LR+ 15.3, LR- 0.9., Discussion: If ductal obstruction is found to be positive, the associated lesion is most likely benign. Therefore, though a rare finding, this descriptor should be taken into account for improved lesion differentiation., (Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.)

Objective: Invasive lobular (ILC) and ductal carcinomas (IDC) are the most frequent subtypes of breast cancer. Diagnosis of ILC is often challenging. This study was conducted to (1) evaluate dynamic and morphologic profiles and to (2) compare the diagnostic accuracy of IDC and ILC in magnetic resonance mammography (MRM)., Methods: Our database consisted of all consecutive MRMs over a 12-year period (standardized protocol: T1-weighted fast low-angle shot; 0.1-mmol gadolinium-diethylenetriaminepentaacetate per kilogram of body weight; T2-weighted turbo spin-echo, 1.5 T; histological verification after MRM), which were evaluated by experienced (>500 MRMs) radiologists in consensus, applying 17 predefined descriptors. All the patients gave written consent; this study was approved by the local institutional review board. Extracting all the ILCs (n = 108), IDCs (n = 347), and benign lesions (n = 436) from the database, the data set of the study was created.In ILC and IDC diagnostic accuracy of single descriptors was calculated and compared separately (chi test). Using all the descriptors, a combined binary logistic regression analysis was applied to calculate the overall diagnostic accuracy for ILC and IDC. The corresponding areas under the curve were compared., Results: ILC and IDC, showed wash-in and an irregular shape without difference (P = 1.0 and P = 0.4). Wash-out was more typical of IDC (72.6%; ILC, 57.4%; P = 0.007). Perifocal edema was diagnosed more frequently in IDC (45.5%; P = 0.05). For overall accuracy, the areas under the curve were 0.929 for ILC and 0.939 for IDC (P = 0.5)., Conclusions: The dynamic and morphologic profiles of ILC and IDC were overlapping, and minor differences between both subgroups could be identified. Accordingly, the overall diagnostic accuracy of MRM was high and without difference between both subtypes of breast cancer.

Objective: Breast MRI has high sensitivity in breast cancer detection, and the BI-RADS MRI lexicon was a step toward standardized description of lesions. However, false-positive findings occur and lead to unnecessary biopsy. The purpose of this investigation was to identify criteria for false-positive findings in clinical practice., Materials and Methods: Eligible for investigation were all breast MRI examinations from a consecutive 16-month time period that had histopathologic verification and findings classified as BI-RADS category 4-6 in the initial MRI report. Accordingly, 132 patients with 120 malignant and 31 benign lesions were enrolled. Two blinded observers categorized lesions into mass or nonmass and used BI-RADS to identify descriptor distribution differences between the benign and malignant subgroups., Results: The ratio of mass to nonmass lesions differed significantly (p < 0.001) between benign (1.2:1) and malignant (7:1) findings. Seventeen mass and 14 nonmass lesions were false-positive, and 105 mass and 15 nonmass lesions were true-positive. Among mass lesions, it was possible to differentiate malignant and benign lesions on the basis of margin (smooth, irregular, or spiculated) and dynamic enhancement features (p < 0.05). Among nonmass lesions, only stippled enhancement had a significant difference between the subgroups (p < 0.05). Tumor diameter had no influence on the correct diagnosis of nonmass lesions (p = 0.301). Conversely, among mass lesions, false-positive lesions were smaller than true-positive lesions (p = 0.01)., Conclusion: Nonmass lesions were the major cause of false-positive breast MRI findings. BI-RADS descriptors are not sufficient for differentiating benign and malignant nonmass lesions.

Modern imaging techniques used for depicting the facial nerve include multi-slice spiral computed tomography (CT) and high-field magnetic resonance imaging (MRI). CT is the gold standard for imaging the osseous structures of the temporal bone. As a result of its excellent soft tissue contrast, MRI enables identification of the facial nerve itself. Due to high spatial resolution and the possibility to generate multiplanar reconstructions, both CT and MRI facilitate an exact evaluation of anatomical structures in all three spatial planes. The present article provides an overview of relevant anatomical structures, a thorough knowledge of which is the basic prerequisite to understanding pathologies and interpreting radiological findings correctly. Furthermore, basic techniques and strategies for imaging the facial nerve using CT and MRI are explained in general. The articles concludes with specific requirements for the radiological diagnosis of dysplasia, neoplasms and trauma, as well as vascular and inflammatory diseases.

The objective of this investigation was to determine the diagnostic value of unilateral edema in differentiating benign from malignant breast disease on T2w-TSE images in MR-Mammography (MRM). All patients from a 10-year period undergoing surgery in the same institution after having received MRM in our department were included in this prospective analysis of previous acquired examinations. To eliminate bias caused by prior procedures, all patients having had biopsy, operation, radiation therapy, or chemotherapy before MRM were excluded. T2w-TSE images were acquired after a dynamic contrast-enhanced series of T1-weighted images in a standardized examination protocol (1.5 T). Edema was defined as a high-signal intensity on T2w-TSE images and it was categorized as absent, perifocal, or diffuse. Examinations were rated by two experienced observers blinded to all procedures and results following MRM. In cases of disconcordance, the opinion of a third radiologist decided. Statistical testing included Pearson's Chi-squared test and Fisher's exact testing. A total of 1,010 patients with a mean age of 55 years (SD: 11.6 years, range: 16-87 years) with 1,129 histologically verified lesions were included in this investigation. After removing all patients with prior procedures from the patient collective, 974 lesions were left for statistical analysis. Perifocal edema was highly significantly (p < 0.001) associated with malignant disease, leading to a sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 33.5%, 93.9%, 89.6, and 57.1%, respectively. Unilateral edema in general showed the following diagnostic parameters: sensitivity 53.0%, specificity 80.5%, PPV 80.9%, and NPV 52.3%. Edema seems to be associated with malignancy in the majority of cases. Especially, specificity and PPV were found to be high. These findings may be helpful in diagnostic decisions on otherwise equivocal cases.

Objectives: According to magnetic resonance (MR) imaging Breast Imaging Reporting and Data System, foci are small enhanced lesions 5 mm or less in diameter. This study was conducted to (a) assess morphological and dynamic profiles in malignant versus benign foci in breast MR imaging (MRM) and to (b) identify overall diagnostic accuracy of MRM for differential diagnosis of foci., Methods: This study was approved by the local institutional review board; all patients gave written consent. All MRM (T1w-FLASH; 0.1 mmol/kg body weight gadolinium-diethylenetriamine penta-acetic acid; T2w-TSE; consecutive 12-year period; with histological verification after MRM were evaluated by 2 experienced (>500 MRM) radiologists in consensus using 16 predefined descriptors and were included into a database. A data set was created by extracting all lesions 5 mm or less (benign, 27; malignant, 61). Accuracy of individual descriptors was assessed (Crosstabs, chi2-test; positive/negative likelihood ratios (LR+/-); diagnostic odds ratio [DOR]). Binary logistic regression analysis was applied to identify overall diagnostic accuracy using all descriptors combined (area under the receiver operating characteristic curve,)., Results: Washout was typically associated with malignancy (P < 0.05; DOR, 3.5). Irregular shape was feasible for differential diagnosis of foci (DOR, 7.3), yet majority of malignancies demonstrated a round shape (55.6%). Additional descriptors such as blooming (DOR, 4.0, LR+, 2.8), adjacent vessel (DOR, 4.8; LR+, 4.5), and root sign (DOR, 5.6; LR+, 4.1) showed a high accuracy. Overall accuracy for differentiation of benign versus malignant foci showed an area under the curve of 0.887 (P = 0.0001)., Conclusions: Assessment of dynamic and morphological profiles in foci 5 mm or less was feasible. Using all descriptors combined, a high potential for differential diagnosis of foci in magnetic resonance-mammography could be identified.

Women with unilateral breast carcinoma reveal an increased risk of suffering from malignancies in the contralateral breast. There is a controversy about the existence of bilateral phenotypic similarities. The aim of this investigation was to compare histologic findings, magnetic resonance imaging (MRI) parameters, and tumor localizations of synchronous bilateral carcinomas. MRI revealed in 42 of 875 women (4.8%) with primary index carcinomas a contralateral malignancy. Twenty-two of the 42 contralateral carcinomas could only be detected by MRI, not by clinical examination, X-ray mammography, or ultrasonography. In 875 patients, MRI therefore identified 22 (2.5%) otherwise occult contralateral cancers. To evaluate bilateral MRI similarities, multiple dynamic and morphologic parameters were evaluated. Of 42 bilateral cancer pairs, histologic tumor type was identical in 54.8% (correlation analysis, P < 0.05). Estrogen receptor status was simultaneously positive or negative in 86.2% (P < 0.01), progesterone receptor status in 79.3% (P < 0.05), expression of human epidermal growth factor receptor 2 in 76.2% (P < 0.05). In 75.8%, initial signal increase, and in 63.6%, postinitial curve types were bilaterally congruent on MRI (P < 0.05). Detected masses showed bilaterally similar T2-signal intensity in 81.8% (P < 0.001). Similar shape and margin of tumor masses and occurrence of non-mass-like enhancement were also frequently observed in both breasts (P < 0.05). The main tumor quadrant was the same in 61.9%, the main localization (retromamillar, central, or dorsal) in 66.7% (P < 0.01). Contralateral carcinomas frequently present similar histologic findings, tumor localizations and MRI characteristics reflecting analogies of tumor neoangiogenesis, histopathologic components, and infiltration in the surrounding stroma. Bilateral synchronous carcinomas may represent on each site distinct, but similar biologic entities, due to analogous influences of tumor developments.

Purpose: Post-contrast enhancement characteristics (PEC) are a major criterion for differential diagnosis in MR mammography (MRM). Manual placement of regions of interest (ROIs) to obtain time/signal intensity curves (TSIC) is the standard approach to assess dynamic enhancement data. Computers can automatically calculate the TSIC in every lesion voxel and combine this data to form one color-coded parametric map (CCPM). Thus, the TSIC of the whole lesion can be assessed. This investigation was conducted to compare the diagnostic accuracy (DA) of CCPM with TSIC for the assessment of PEC., Materials and Methods: 329 consecutive patients with 469 histologically verified lesions were examined. MRM was performed according to a standard protocol (1.5 T, 0.1 mmol/kgbw Gd-DTPA). ROIs were drawn manually within any lesion to calculate the TSIC. CCPMs were created in all patients using dedicated software (CAD Sciences). Both methods were rated by 2 observers in consensus on an ordinal scale. Receiver operating characteristics (ROC) analysis was used to compare both methods., Results: The area under the curve (AUC) was significantly (p=0.026) higher for CCPM (0.829) than TSIC (0.749). The sensitivity was 88.5% (CCPM) vs. 82.8% (TSIC), whereas equal specificity levels were found (CCPM: 63.7%, TSIC: 63.0%)., Conclusion: The color-coded parametric maps (CCPMs) showed a significantly higher DA compared to TSIC, in particular the sensitivity could be increased. Therefore, the CCPM method is a feasible approach to assessing dynamic data in MRM and condenses several imaging series into one parametric map., (© Georg Thieme Verlag KG Stuttgart · New York.)

Magnetic resonance-mammography is regarded as the most sensitive diagnostic modality in the detection of breast cancer. It uses the tumour neoangiogenesis to depict lesions after intravenous contrast agent injection. It is said, that for tumours exceeding a diameter of three millimetres contrast agent enhancement is mandatory. In our case report we describe a rare tumour growth condition. We observed a large invasive carcinoma (18 millimetres diameter) without contrast enhancement in breast MRI due to an almost missing tumour neoangiogenesis. The cancer had a low cellularity and a strong desmoplastic reaction.

Objective: The adjacent vessel sign (AVS) is a descriptor for differentiating malignant from benign breast lesions on breast MRI (bMRI). This investigation was designed to verify the previous reports on the diagnostic accuracy of AVS and to assess correlation between AVS, histopathological diagnosis, lesion size and lesion grade., Materials and Methods: This study was approved by the local ethical committee. Experienced radiologists evaluated 1,084 lesions. The exclusion criteria were no histological verification after bMRI and breast interventions that were done up to one year before bMRI (surgery, core biopsy, chemo- or radiation therapy). The native and dynamic contrast-enhanced T1-weighted series were acquired using standardized protocols. The AVS was rated positive if a vessel leading to a lesion could be visualized. Prevalence of an AVS was correlated with the lesions' size, grade and histology using Chi-square-tests., Results: The AVS was significantly associated with malignancy (p < 0.001; sensitivity: 47%, specificity: 88%, positive-predictive-value [PPV]: 85%). Malignant lesions > 2 cm more often presented with an AVS than did those malignant lesions < 2 cm (p < 0.0001; sensitivity: 65%, PPV: 90%). There was no correlation of the AVS with the tumor grade. The prevalence of an AVS didn't significantly differ between invasive lobular carcinomas versus ductal carcinomas. In situ cancers were less frequently associated with an AVS (p < 0.001)., Conclusion: The adjacent vessel sign was significantly associated with malignancy. Thus, it can be used to accurately assess breast lesions on bMRI. In this study, the AVS was particularly associated with advanced and invasive carcinomas.

Rationale and Objectives: Enhancement characteristics after administration of a contrast agent are regarded as a major criterion for differential diagnosis in magnetic resonance mammography (MRM). However, no consensus exists about the best measurement method to assess contrast enhancement kinetics. This systematic investigation was performed to compare visual estimation with manual region of interest (ROI) and computer-aided diagnosis (CAD) analysis for time curve measurements in MRM., Materials and Methods: A total of 329 patients undergoing surgery after MRM (1.5 T) were analyzed prospectively. Dynamic data were measured using visual estimation, including ROI as well as CAD methods, and classified depending on initial signal increase and delayed enhancement., Results: Pathology revealed 469 lesions (279 malignant, 190 benign). Kappa agreement between the methods ranged from 0.78 to 0.81. Diagnostic accuracies of 74.4% (visual), 75.7% (ROI), and 76.6% (CAD) were found without statistical significant differences., Conclusions: According to our results, curve type measurements are useful as a diagnostic criterion in breast lesions irrespective of the method used.

Purpose: This study examines the identifiability of the intratemporal motor facial nerve using 3-T and 1.5-T magnetic resonance imaging (MRI)., Methods: Twenty subjects underwent T1- and T2-weighted MRI of the temporal bone. Acquisition was performed using a head coil at 3 and 1.5 T as well as a surface coil at 3 T. Layer thicknesses were 0.6 mm for 3-T and 0.8 mm for 1.5-T MRI. Eight topodiagnostically relevant facial nerve and branch structures were statistically evaluated., Results: The main trunk could be identified in all examinations. Sequences acquired with a head coil at 3 T yielded statistically significant superiority (P < 0.001) over 3-T surface coil and 1.5-T head coil measurements. The precise identifiability of the smallest structures (eg, stapedial nerve) succeeded best by means of T1-weighted 3-T MRI., Conclusions: Due to the precise identifiability of the smallest branches, 3-T MRI improves diagnostics particularly with regard to preoperative planning.

Purpose: The objective of this study is to compare mammography with magnetic resonance mammography (MRM) in the diagnosis of histopathologically verified subtypes of ductal carcinoma in situ (DCIS)., Materials and Methods: All patients with verified pure DCIS lesions (no signs of invasion or microinvasion) after surgery were identified between 2004 and 2006. Selection criteria were performed mammography and MRM at our institute prior to surgery resulting in a cohort of 33 patients (mean patient age, 60 years; mean lesion size, 15 mm)., Results: Magnetic resonance mammography enabled identification of DCIS in 29 of 33 patients with histopathologically verified pure DCIS (7 G1, 13 G2, and 9 G3 subtypes), giving an overall sensitivity of 87.9% for this patient cohort. Four DCIS lesions (two G1 and two G2) up to 5 mm diameter or smaller were not detected by MRM. In mammography, 21 of the 33 patients revealed suspicious outcome (including all lesions not detected by MRM), demonstrating an overall sensitivity of 63.6%. The remaining 12 mammographically occult DCIS lesions (three G1 subtypes, four G2 subtypes, five G3 subtypes) were all identified in MRM., Conclusion: Magnetic resonance mammography can diagnose mammographically visible and also occult DCIS lesions without microcalcifications. Only small DCIS foci with microcalcifications could additionally be verified by mammography supposing MRM as a diagnostic approach.

Purpose: The value of computer-assisted detection (CAD) used in magnetic resonance (MR) mammography in a clinical setting is currently a subject of controversy. This study evaluated the extent to which color-coded CAD systems aid radiologists with different levels of experience in their reading of MR mammographies., Materials and Methods: In this prospective study, 48 patients with a total of 88 lesions (43 malignant, 45 benign) were included. All examinations were performed on a 1.5 Tesla MR scanner with intravenous application of 0.1 mmol gadopentetate dimeglumine/kg body weight. Three readers independently analyzed the images without knowledge of the clinical data; radiologists 1 and 2 were much more experienced in the interpretation of MR mammographies than radiologist 3. Initially, the observers visually categorized the lesions as benign or malignant following classification of BI-RADS (Breast Imaging Reporting and Data System). The readers also scored their own confidence level using a dichotome score (1: unsure vs. 2: sure) according to the BI-RADS classification. The images were then analyzed in a blinded manner with two technically different CAD systems: the full-time point (FTP) method (Cadsciences; White Plains, NY, USA) and the Dynacad version 1.1 (Invivo; Pewaukee, WI, USA)., Results: After CAD, all three readers classified more malignant lesions as BI-RADS 4 or 5 (suspicious or highly suggestive of malignancy). However, this increase in sensitivity revealed only statistical significance for observer 3 (p < 0.05). After CAD, the two experienced readers categorized about the same quantity of benign lesions correctly as BI-RADS 2. Observer 3 classified less benign lesions as BI-RADS 2 after both CAD analyses; i. e. the specificity decreased. The subjective confidence of all observers increased after analysis with Dynacad. Observer 3 also reported to be more confident after the FTP method., Conclusion: Computer-assisted detection can be a useful additional diagnostic tool for the radiologist in the interpretation of MR mammographies, but does not have the potential to replace the professional experience of a radiologist.

Objective: This study examined the explanatory power of 3-dimensional visualization of middle ear prostheses and to introduce this method as a supplementary diagnostic tool., Methods: Various prostheses were examined in vitro. Surface rendering and perspective volume-rendering techniques were compared with axial, curviplanar, and maximum intensity projection images. One hundred three patients with hearing difficulty underwent high-resolution computed tomography scanning. The 3-dimensional images of 41 patients after nonspecific middle ear surgery were compared with the tympanoscopic findings., Results: The PVR technique allowed the depiction of the smallest individual substructures of the prostheses. The evaluation of the prostheses' localization using PVR was significantly better than using maximum intensity projection (P < 0.001). Surface rendering showed no advantages over 2-dimensional imaging. Diagnostic findings of high-resolution computed tomography were comparable to tympanoscopy (specificity 100%, sensitivity 95.1%)., Conclusion: The 3D depiction facilitates the evaluation of middle ear prostheses fitting.

MRI has proven to be a very reliable diagnostic tool in the detection and differential diagnosis of breast lesions. Some lesions are, even in retrospect, not detectable in x-ray or ultrasound images but MRI is able to detect lesions at a much smaller size than the average size of lesions depicted by x-ray and ultrasound. The aim in the future is to develop combined procedures where imaging, biopsy, and interventional therapies are combined in a single outpatient procedure. As a step toward this goal different interventional procedures are useful that include interstitial laser therapy (ILT), radiofrequency ablation (RFA), high-intensity focused ultrasound (HIFU), microwave ablation therapy, and cryotherapy. In this overview the main features and initial results of these procedures are described and discussed., ((Copyright) 2008 Wiley-Liss, Inc.)