IJ Radiology
An Innovative Journal in the Field of Radiology
Scopus by Title (Ref)
1. Value of magnetic resonance imaging radiomics features in predicting histologic grade of invasive ductal carcinoma of the breast
- Yang X.L. , et al.
2. Fibrosarcomatous Transformation in Dermatofibrosarcoma Protuberans of the Male Breast and its Association with Magnetic Resonance Imaging and Immunohistopathologic Features
- Kang S.Y. , et al.
3. The Relationship between Breast Cancer Subtypes, Prognostic Factors, and Apparent Diffusion Coefficient Histogram Analysis
- Aktas E. , et al.
4. A review of quantitative diffusion-weighted MR imaging for breast cancer: Towards noninvasive biomarker
- Yao F.F. , et al.
5. Correlation between Imaging Markers Derived from PET/MRI and Invasive Acquired Biomarkers in Newly Diagnosed Breast Cancer
- Jannusch K. , et al.
6. Value of apparent diffusion coefficient factor in correlation with the molecular subtypes, tumor grade, and expression of Ki-67 in breast cancer
- Hegazy R. , et al.
8. Radiomics Nomogram: Prediction of 2-Year Disease-Free Survival in Young Age Breast Cancer
- Lee J. , et al.
9. Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer
- Wang Z. , et al.
10. Characterization of breast tumors using machine learning based upon multiparametric magnetic resonance imaging features
- Thakran S. , et al.
11. Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis
- Meyer H.J. , et al.
12. Correlation between molecular prognostic factors and magnetic resonance imaging intravoxel incoherent motion histogram parameters in breast cancer
- Feng W. , et al.
13. Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning
- Li L. , et al.
14. Role of Diffusion Weighted Imaging with Corresponding Apparent Diffusion Coefficient Values in Differentiating Benign and Malignant Breast Lesions
- Varshitha G.R. , et al.
16. On the additional information provided by 3t-mri adc in predicting tumor cellularity and microscopic behavior
- Santucci D. , et al.
17. The impact of tumor edema on T2-weighted 3T-MRI invasive breast cancer histological characterization: A pilot radiomics study
- Santucci D. , et al.
18. The Role of Combined Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MRI for Differentiating Malignant From Benign Breast Lesions Presenting Washout Curve
- Tezcan S. , et al.
20. Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status
- Choi E.J. , et al.
21. Diffusion weighted imaging in breast cancer - Can it be a noninvasive predictor of nuclear grade?
- Rupa R. , et al.
22. Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions
- Surov A. , et al.