Tohoku University · Medicine
Professor Naoko Mori's research lab specializes in advanced neuroimaging and radiological diagnostics, focusing on improving the accuracy of brain and breast lesion characterization using dynamic contrast-enhanced MRI (DCE-MRI). Her work emphasizes the clinical application of quantitative imaging biomarkers—such as cerebral blood flow reserve (CVR), apparent diffusion coefficient (ADC), and kinetic parameters—for early detection and differentiation of brain vascular disorders like Moyamoya disease and breast lesions. The lab is particularly known for developing practical, routine-friendly imaging methods that enhance diagnostic confidence without increasing scan complexity. Their research bridges radiological science with clinical decision-making, aiming to optimize patient outcomes through non-invasive, quantitative imaging techniques.
Figures are computed from collected data and may differ slightly.
The leptomeningeal ivy sign indicates decreased CVR in Moyamoya disease.
Considering convenience for routine practice, the authors suggest that the mean ADC apparent diffusion coefficient of the conventional method would be practical to use for estimating the Ki-67 labeling index.
<b>OBJECTIVE.</b> The purpose of this article was to evaluate the diagnostic performance of the kinetic parameters of ultrafast and standard dynamic contrast-enhanced MRI (DCE-MRI) compared with morphologic evaluation in differentiating benign from malignant nonmass enhancement (NME) breast lesions. <b>MATERIALS AND METHODS.</b> A total of 77 consecutive patients with 77 NMEs (23 benign and 54 malignant) underwent 3-T MRI, including one unenhanced and eight contrast-enhanced ultrafast DCE-MRI sc
Kinetic assessment with visually identified peak enhancement was acceptable for differentiating benign from malignant lesions.
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