Improved Diagnostic Accuracy With Multiparametric Magnetic Resonance Imaging of the Breast Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging, Diffusion-Weighted Imaging, and 3-Dimensional Proton Magnetic Resonance Spectroscopic Imaging

Abstract

Multiparametric MRI with 3 parameters increases the diagnostic accuracy of breast cancer in comparison with DCE-MRI alone and MP MRI with 2 parameters.

Positron Emission Tomography/Magnetic Resonance Imaging for Local Tumor Staging in Patients With Primary Breast Cancer

“…Because of its excellent soft tissue contrast and additional information derived from functional imaging techniques, MRI provides highly accurate detection and characterization of invasive breast cancers. 3,[22][23][24] In a recent publication, Taneja and colleagues 17 compared the utility of integrated PET/MRI and MRI alone for initial staging of breast cancer patients. The authors reported a higher diagnostic confidence for the determination of malignant breast lesions in simultaneously obtained and fused PET and MRI data sets, whereas PET/MRI and MRI showed an PET indicates positron emission tomography; CT, computed tomography; MRI, magnetic resonance imaging.…”

Improved Differentiation of Benign and Malignant Breast Tumors with Multiparametric 18Fluorodeoxyglucose Positron Emission Tomography Magnetic Resonance Imaging: A Feasibility Study

“…This highlights the challenges of combining MP data in clinical practice. Initial results of MP MRI with 3 parameters demonstrated a further increase in diagnostic accuracy compared with various combinations of 2 parameters (38). A further improvement in the differentiation of benign and malignant breast lesions with MP MRI can be expected by the addition or replacement of new and more sensitive parameters, such as sodium imaging (39), chemical exchange saturation transfer (CEST) imaging (40), or hyperpolarized MRSI (41).…”

Multiparametrische und molekulare Bildgebung von Brusttumoren mit MRT und PET‑MRT

“…Die kombinierte Anwendung dieser Parameter wird als multiparametrische Bildgebung definiert [4][5][6][7][8]. Diese ermöglicht sowohl die Erfassung der Tumormorphologie als auch die Quantifizierung und Visualisierung biologischer, physiologischer und pathologischer Prozesse auf zellulärer und molekularer Ebene, die bei der Krebsentstehung und -progression beteiligt sind.…”