Combination of low and high resolution sequences in two orientations for dynamic contrast-enhanced MRI of the breast: more than a compromise

Vomweg, T. W.; Teifke, A.; Kunz, R. P.; Hintze, C.; Hlawatsch, A.; Kern, A; Kreitner, K.-F.; Thelen, M.

doi:10.1007/s00330-004-2428-8

Cited by 22 publications

(14 citation statements)

References 35 publications

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“…Unenhanced T1-weighted images provide excellent visual separation of adipose tissue from glandular tissue, and T2-weighted images may depict cysts, necrosis, haemorrhage and some fibroadenomas [31,[33][34][35]. In the routine evaluation of dynamic MRI of the breast a close correlation of the MR images with the clinical examination, patient and family history, mammography and sonography should be performed routinely [36,37].…”

Section: Discussionmentioning

confidence: 99%

Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

et al. 2007

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We compared the detection of malignant lesions in two different methods of parametric-guided analysis to the widely used early subtraction images. The parametric colour-coded overlays were defined by the increase of signal intensity after contrast injection and the course of the time signal intensity curve. Exams of 30 patients with histopathological evidence of 32 invasive breast carcinomas were evaluated. Five hundred five areas of additional enhancing tissue were found in the early subtraction images. The sensitivity was 100 in the subtraction images and 100 and 93.8 in the parametric images, respectively, the specificity 67.5, 84.2 and 88.7, respectively. On average 4.4 ROI-measurements were needed to find the highest increase of signal intensity in the subtraction series compared to 1.9 in the parametric images. Properly selected thresholds in parametric imaging may be helpful in the differentiation of enhancing tissue. Furthermore the parametric image-guided ROI selection significantly speeds up the analysis and makes it safer as a lower rate of ROI-measurements is needed to find the strongest enhancement.

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Section: Discussionmentioning

confidence: 99%

Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

et al. 2007

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“…One series was acquired before and four series after intravenous injection of contrast agent (ProHance, Bracco-Byk Gulden, Konstanz, Germany; 0.1 mmol/kg body weight, at a rate of 2-4 ml/s). The series were acquired at intervals of approximately 120 s to achieve theoretically optimal time points to describe contrast uptake in the lesion [34][35][36][37] and to achieve isotropic voxel sizes. The following MRI parameters were used: T1-weighted sequence, repetition time 8.1 ms, echo time 4.0 ms, reconstructed in-plane matrix 256×256 pixels, isotropic in-plane resolution of 1.35×1.35 mm 2 , slice thickness 1.35 mm, no fat suppression.…”

Section: Patients and Imagingmentioning

confidence: 99%

Contrast-enhanced MRI in breast cancer patients eligible for breast-conserving therapy: complementary value for subgroups of patients

et al. 2005

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The aim of this study was to identify patients prior to breast-conserving therapy (BCT) who have complementary value of contrast-enhanced magnetic resonance imaging (MRI) over conventional imaging in the assessment of tumor extent. All patients were eligible for BCT according to conventional imaging, and underwent preoperative MRI as part of this study. One hundred and sixty-five patients (166 tumors) were included. MRI was defined to have complementary value if conventional imaging underestimated or overestimated tumor extent (by more than 10 mm compared to histology) and MRI assessed the extent accurately. Logistic regression was employed to identify characteristics that are predictive of the complementary value of preoperative MRI. MRI had complementary value in 39 cases (23%). Patients <58 years old with irregular lesion margins at mammography and discrepancy in tumor extent by more than 10 mm between mammography and ultrasonography had a 3.2x higher chance of accurate assessment at MRI (positive predictive value 50%, negative predictive value 84%, p=0.0002). Preoperative MRI in patients eligible for BCT is more accurate than conventional imaging in the assessment of tumor extent in approximately one out of four patients. Subgroups of patients in whom MRI has complementary value may be defined by the differences in clinical and imaging features.

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“…During the last few years, a wide range of image acquisition protocols and image interpretation systems has been developed for evaluating breast magnetic resonance (MR) imaging studies with the attempt to increase specificity and standardization of MR mammography [1][2][3][4][5][6][7][8][9]. Two basic approaches of image interpretations have been used for differentiating malignant from benign lesions: contrast-enhancement kinetics (requiring good temporal resolution) and morphological analysis of lesions (requiring good spatial resolution) [10,11].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of quantitative parametric analysis for characterization of breast lesions in contrast-enhanced MR mammography

et al. 2006

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Our aim was to evaluate quantitative parametric analysis for characterization of breast lesions in contrast-enhanced magnetic resonance (MR) mammography. In 62 patients, contrast-enhanced MR mammography revealed 75 suspicious lesions, of which 18 were benign and 57 were malignant. The quantitative parametric analysis delineates signal intensity changes of contrast-enhanced lesions on a pixel-by-pixel basis. The initial rate of enhancement is coded by color intensity: a slow rate is coded to dark; a fast rate, bright. The postinitial enhancement change is coded by color hue: blue for increasing signal intensity, green for plateau, and red for decrease in signal intensity. Malignant lesions showed a significantly higher number of bright-red (P = 0.004) and medium-red (P < 0.001) pixels than benign lesions. Benign lesions showed significantly more blue pixels than did malignant lesions (P = 0.010). Of the 75 lesions, 72 (96%) showed heterogeneous distribution of pixel color hue. Quantitative parametric analysis of contrast kinetics in lesions can replace the subjective manual region of interest (ROI) method and makes a step toward standardization of MR mammography. It allows quantitative evaluation of different contrast kinetics parameters in contrast-enhanced breast lesions.

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Combination of low and high resolution sequences in two orientations for dynamic contrast-enhanced MRI of the breast: more than a compromise

Cited by 22 publications

References 35 publications

Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

Contrast-enhanced MRI in breast cancer patients eligible for breast-conserving therapy: complementary value for subgroups of patients

Evaluation of quantitative parametric analysis for characterization of breast lesions in contrast-enhanced MR mammography

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