ArticleAmerican journal of translational research2021
Application of intravoxel incoherent motion diffusion-weighted imaging in differential diagnosis and molecular subtype analysis of breast cancer.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 11 citations in OpenAlex.
- Evaluating the predictive value of dynamic contrast-enhanced MRI and six diffusion models for prognostic factors in mass-type invasive ductal carcinoma of the breast.BMC medical imaging · 2026Article
- Whole-lesion histogram analysis of multi-model diffusion-weighted imaging for characterization and molecular classification of breast lesions.La Radiologia medica · 2026Article
- The value of multimodal ultrasound imaging in differentiating HER2-positive breast cancer.Frontiers in oncology · 2026Article
- Advances in ultrasound for preoperative molecular subtyping of malignant breast tumors.Frontiers in oncology · 2026Review
- The role of magnetic resonance imaging (MRI) in breast cancer molecular subtypes.Polish journal of radiology · 2026Review
- Report on the quantitative intra-voxel incoherent motion diffusion MRI reconstruction grand challenge.Medical physics · 2025Article
- Diagnostic Accuracy of Combined 3.0T Magnetic Resonance Imaging and Molybdenum Target X-Ray in Triple-Negative Breast Cancer: Correlation with Prognosis in Patients Undergoing Sentinel Lymph Node Biopsy.Women's health reports (New Rochelle, N.Y.) · 2024Article
- A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI.European radiology · 2023Article
- Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023Review
- Homologous repair deficiency-associated genes in invasive breast cancer revealed by WGCNA co-expression network analysis and genetic perturbation similarity analysis.Cell cycle (Georgetown, Tex.) · 2023Article
- Feasibility evaluation of intravoxel incoherent motion diffusion-weighted imaging in the diagnosis of skull-base invasion in nasopharyngeal carcinoma.Journal of Cancer · 2023Article
- Identification of the Benignity and Malignancy of BI-RADS 4 Breast Lesions Based on a Combined Quantitative Model of Dynamic Contrast-Enhanced MRI and Intravoxel Incoherent Motion.Tomography (Ann Arbor, Mich.) · 2022Article
- Artificial intelligence in breast cancer imaging: risk stratification, lesion detection and classification, treatment planning and prognosis-a narrative review.Exploration of targeted anti-tumor therapy · 2022Review
- Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.Frontiers in oncology · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the application of incoherent motion diffusion-weighted imaging (IVIM-DWI) in the differential diagnosis and molecular subtype analysis of breast cancer.
methodsThe clinical data of 225 patients with breast masses were selected, including breast cancers (n = 135) and benign breast tumors (n = 90). According to pathological results, breast cancers were divided into four subtypes: Luminal A (n = 24), Luminal B (n = 57), HER-2-overexpression (n = 27) and triple-negative breast cancers (n = 27). The patients were detected by IVIM-DWI, and then the average diffusion coefficient (ADC), perfusion fraction (f) value, true dispersion coefficient (D) value and false dispersion coefficient (D*) value were compared and analyzed. The above index were used to identify breast cancer and its molecular subtypes by using the receiver operating characteristic (ROC) curve.
resultsThe ADC, D and D*-value in breast cancer group were significantly lower than those in benign tumor group, while the f-value in breast cancer group was higher than that in benign tumor group (P<0.001); The ADC, D, D*, f-value and the combination of four have high diagnostic value in breast cancer; The D-value in PR-positive group was higher than that in the PR-negative group, while it was lower in PR-positive group (P<0.05), and the ADC, D and D*-value in the ER-positive group were significantly lower than those in the ER-negative group (P<0.001); The f-value in HER-2 positive group was higher than that in human epidermal growth factor receptor-2 (HER-2) negative group (P<0.001); The ADC and D-value of Ki-67 high-expression was lower than those of Ki-67 low-expression, while the D-value of Ki-67 high-expression was higher than that of Ki-67 low expression group (P<0.05); The ADC, D, D*, f-value and the combination of four have high diagnostic value in triple negative breast cancer.
conclusionIVIM-DWI technology has a significant value in differential diagnosis of benign and malignant breast tumors, and the relevant parameters of IVIM-DWI technology have definite value in the differential diagnosis of breast cancer molecular typing.
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