ArticleMagnetic resonance in medicine2019
Quantitative analysis of vascular properties derived from ultrafast DCE-MRI to discriminate malignant and benign breast tumors.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 66 citations in OpenAlex.
- Automated Cluster-based Quantitative Analysis of Ultrafast DCE MRI for Differential Breast DCIS Grading.Radiology. Imaging cancer · 2026Article
- Fractal analysis of hepatocellular carcinoma vasculature shows regional differences independent of vascular invasion.Scientific reports · 2026Article
- Panoramic photoacoustic computed tomography with learning-based classification enhances breast lesion characterization.Nature biomedical engineering · 2026Article
- Institutional Variability in Ultrafast Breast MR Imaging: Comparing Compressed Sensing and View Sharing Techniques with Different Patient Populations and Contrast Injection Protocols.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Clinical application of gadoterate meglumine in abbreviated dynamic contrast-enhanced magnetic resonance imaging of the breast with ultrafast imaging: a single-center retrospective study.Quantitative imaging in medicine and surgery · 2025Article
- A self-gated 4D-MRI sequence for internal target volume delineation in liver: Phantom and pre-clinical validation.Journal of applied clinical medical physics · 2025Article
- Article
- Abbreviated and Ultrafast Dynamic Contrast-enhanced (DCE) MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Review
- Ultrafast Breast MRI: A Narrative Review.Journal of personalized medicine · 2025Review
- Exploratory Research of Intraductal Chemotherapy to Control the Focal Breast Lesion of Breast Cancer.Breast cancer (Dove Medical Press) · 2025Article
- Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Review
- Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Review
- Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer.BMC medical imaging · 2024Article
- Optimizing ultrafast dynamic contrast-enhanced MRI scan duration in the differentiation of benign and malignant breast lesions.Insights into imaging · 2024Article
- Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer.Breast cancer research : BCR · 2023Article
- Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast.Magnetic resonance in medicine · 2023Article
- Development and validation of a four-dimensional registration technique for DCE breast MRI.Insights into imaging · 2023Article
- Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI.PloS one · 2023Article
- Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics.IEEE transactions on bio-medical engineering · 2022Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
purposeWe propose a novel methodology to integrate morphological and functional information of tumor-associated vessels to assist in the diagnosis of suspicious breast lesions. THEORY AND
methodsUltrafast, fast, and high spatial resolution DCE-MRI data were acquired on 15 patients with suspicious breast lesions. Segmentation of the vasculature from the surrounding tissue was performed by applying a Hessian filter to the enhanced image to generate a map of the probability for each voxel to belong to a vessel. Summary measures were generated for vascular morphology, as well as the inputs and outputs of vessels physically connected to the tumor. The ultrafast DCE-MRI data was analyzed by a modified Tofts model to estimate the bolus arrival time, K
resultsA total of 24 lesions were included in the study (13 malignant and 11 benign). The vessel count, K
conclusionThis study provides preliminary evidence that combining quantitative characterization of morphological and functional features of breast vasculature may provide an accurate means to diagnose breast cancer.
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