ArticleJournal of medical imaging (Bellingham, Wash.)2018
Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial.
Article in Journal of medical imaging (Bellingham, Wash.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Time to Enhancement Measured From Ultrafast Dynamic Contrast-Enhanced MRI for Improved Breast Lesion Diagnosis.Journal of breast imaging · 2025Article
- Structural and practical identifiability of contrast transport models for DCE-MRI.PLoS computational biology · 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
- Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study.F1000Research · 2024Article
- An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data.Magnetic resonance in medicine · 2023Article
- Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast.Magnetic resonance in medicine · 2023Article
- A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2022Article
- Sigmoid model analysis of breast dynamic contrast-enhanced MRI: Distinguishing between benign and malignant breast masses and breast cancer subtype prediction.Journal of applied clinical medical physics · 2022Article
- Quantitative transport mapping (QTM) for differentiating benign and malignant breast lesion: Comparison with traditional kinetics modeling and semi-quantitative enhancement curve characteristics.Magnetic resonance imaging · 2022Article
- An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.Medical image analysis · 2021Article
- Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer.Tomography (Ann Arbor, Mich.) · 2021Article
- Comparison of data-driven and general temporal constraints on compressed sensing for breast DCE MRI.Magnetic resonance in medicine · 2021Article
- Multinuclear MRI to disentangle intracellular sodium concentration and extracellular volume fraction in breast cancer.Scientific reports · 2021Article
- Vascularity and Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging.Frontiers in radiology · 2021Review
- Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study.Tomography (Ann Arbor, Mich.) · 2020Article
- Dynamic Contrast-enhanced MRI Detects Responses to Stroma-directed Therapy in Mouse Models of Pancreatic Ductal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019Article
- Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis.Computational and mathematical methods in medicine · 2018Review
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8 authors.
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Abstract
Comparative preliminary analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data collected in the International Breast MR Consortium 6883 multicenter trial was performed to distinguish benign and malignant breast tumors. Prebiopsy DCE-MRI data from 45 patients with suspicious breast lesions were obtained. Semiquantitative mean signal-enhancement ratio ([Formula: see text]) was calculated for all lesions, and quantitative pharmacokinetic, parameters [Formula: see text], [Formula: see text], and [Formula: see text], were calculated for the subset with available [Formula: see text] maps ([Formula: see text]). Diagnostic performance was estimated for DCE-MRI parameters and compared to standard clinical MRI assessment. Quantitative and semiquantitative metrics discriminated benign and malignant lesions, with receiver operating characteristic area under the curve (AUC) values of 0.71, 0.70, and 0.82 for [Formula: see text], [Formula: see text], and [Formula: see text], respectively ([Formula: see text]). At equal 94% sensitivity, the specificity and positive predictive value of [Formula: see text] (53% and 63%, respectively) and
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.