ArticleBMC medical imaging2023
Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions.
Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Characterization of complex renal cysts in hereditary leiomyomatosis and renal cell cancerUsing magnetic resonance based qualitative features.Abdominal radiology (New York) · 2026Article
- Morphologic and Diffusion-weighted MRI Characteristics of Axillary Lymph Nodes for Predicting Metastasis in Breast Cancer Patients: A Quantitative Analysis.Current medical imaging · 2026Article
- A multiparametric magnetic resonance imaging model incorporating the relative apparent diffusion coefficient for preoperative discrimination of triple-negative breast cancer.American journal of translational research · 2026Article
- Optimization of the Non-Local Means Algorithm for Breast Diffusion-Weighted Magnetic Resonance Imaging Using a 3D-Printed Breast-Mimicking Phantom.Life (Basel, Switzerland) · 2025Article
- Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions.BMC medical imaging · 2025Article
- Diffusion-Weighted Imaging for Skin Pathologies of the Breast-A Feasibility Study.Diagnostics (Basel, Switzerland) · 2024Article
- Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs.Frontiers in oncology · 2024Article
- Application of advanced diffusion models from diffusion weighted imaging in a large cohort study of breast lesions.BMC medical imaging · 2023Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveThe conventional breast Diffusion-weighted imaging (DWI) was subtly influenced by microcirculation owing to the insufficient selection of the b values. However, the multiparameter derived from multiple b-value exhibits more reliable image quality and maximize the diagnostic accuracy. We aim to evaluate the diagnostic performance of stand-alone parameter or in combination with multiparameter derived from multiple b-value DWI in differentiating malignant from benign breast lesions.
methodsA total of forty-one patients diagnosed with benign breast tumor and thirty-eight patients with malignant breast tumor underwent DWI using thirteen b values and other MRI functional sequence at 3.0 T magnetic resonance. Data were accepted mono-exponential, bi-exponential, stretched-exponential, aquaporins (AQP) model analysis. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of quantitative parameter or multiparametric combination. The Youden index, sensitivity and specificity were used to assess the optimal diagnostic model. T-test, logistic regression analysis, and Z-test were used. P value < 0.05 was considered statistically significant.
resultThe ADC
conclusionThe current study based on the multiple b-value diffusion model demonstrated quantitatively multiparametric combination (ADC
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