These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
419 related articles for article (PubMed ID: 34430998)
1. Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase. Tang WJ; Kong QC; Cheng ZX; Liang YS; Jin Z; Chen LX; Hu WK; Liang YY; Wei XH; Guo Y; Jiang XQ Eur Radiol; 2022 Feb; 32(2):864-875. PubMed ID: 34430998 [TBL] [Abstract][Full Text] [Related]
2. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model]. Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356 [No Abstract] [Full Text] [Related]
3. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics. Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461 [TBL] [Abstract][Full Text] [Related]
4. Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer. Zhang L; Shen M; Zhang D; He X; Du Q; Liu N; Huang X J Magn Reson Imaging; 2024 Sep; 60(3):1203-1212. PubMed ID: 38088478 [TBL] [Abstract][Full Text] [Related]
5. An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions. Zhang R; Wei W; Li R; Li J; Zhou Z; Ma M; Zhao R; Zhao X Front Oncol; 2021; 11():733260. PubMed ID: 35155178 [TBL] [Abstract][Full Text] [Related]
6. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer. Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241 [TBL] [Abstract][Full Text] [Related]
7. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions. Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014 [TBL] [Abstract][Full Text] [Related]
8. Multiphases DCE-MRI Radiomics Nomogram for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer. Ma Q; Lu X; Chen Q; Gong H; Lei J Acad Radiol; 2024 Aug; ():. PubMed ID: 39107190 [TBL] [Abstract][Full Text] [Related]
9. Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: A multicenter study. Zhang J; Zhang Z; Mao N; Zhang H; Gao J; Wang B; Ren J; Liu X; Zhang B; Dou T; Li W; Wang Y; Jia H J Xray Sci Technol; 2023; 31(2):247-263. PubMed ID: 36744360 [TBL] [Abstract][Full Text] [Related]
10. Molecular subtypes of breast cancer identified by dynamically enhanced MRI radiomics: the delayed phase cannot be ignored. Huang G; Du S; Gao S; Guo L; Zhao R; Bian X; Xie L; Zhang L Insights Imaging; 2024 May; 15(1):127. PubMed ID: 38816553 [TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics. Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770 [TBL] [Abstract][Full Text] [Related]
12. Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer. Wu J; Li X; Teng X; Rubin DL; Napel S; Daniel BL; Li R Breast Cancer Res; 2018 Sep; 20(1):101. PubMed ID: 30176944 [TBL] [Abstract][Full Text] [Related]
13. Comparison of Dynamic Contrast-Enhanced MRI and Non-Mono-Exponential Model-Based Diffusion-Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics. Zhang L; Zhou XX; Liu L; Liu AY; Zhao WJ; Zhang HX; Zhu YM; Kuai ZX J Magn Reson Imaging; 2023 Nov; 58(5):1590-1602. PubMed ID: 36661350 [TBL] [Abstract][Full Text] [Related]
14. Intratumoral and Peritumoral Analysis of Mammography, Tomosynthesis, and Multiparametric MRI for Predicting Ki-67 Level in Breast Cancer: a Radiomics-Based Study. Jiang T; Song J; Wang X; Niu S; Zhao N; Dong Y; Wang X; Luo Y; Jiang X Mol Imaging Biol; 2022 Aug; 24(4):550-559. PubMed ID: 34904187 [TBL] [Abstract][Full Text] [Related]
15. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram. Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932 [TBL] [Abstract][Full Text] [Related]
16. Radiomics Based on Dynamic Contrast-Enhanced MRI to Early Predict Pathologic Complete Response in Breast Cancer Patients Treated with Neoadjuvant Therapy. Zeng Q; Ke M; Zhong L; Zhou Y; Zhu X; He C; Liu L Acad Radiol; 2023 Aug; 30(8):1638-1647. PubMed ID: 36564256 [TBL] [Abstract][Full Text] [Related]
17. Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model. Qi X; Wang W; Pan S; Liu G; Xia L; Duan S; He Y Acta Radiol; 2024 Feb; 65(2):173-184. PubMed ID: 38017694 [TBL] [Abstract][Full Text] [Related]
18. Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients. Chen X; Chen X; Yang J; Li Y; Fan W; Yang Z J Comput Assist Tomogr; 2020; 44(2):275-283. PubMed ID: 32004189 [TBL] [Abstract][Full Text] [Related]
19. Multiparametric MRI-based radiomics nomogram for predicting the hormone receptor status of HER2-positive breast cancer. Sang L; Liu Z; Huang C; Xu J; Wang H Clin Radiol; 2024 Jan; 79(1):60-66. PubMed ID: 37838543 [TBL] [Abstract][Full Text] [Related]
20. Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer. Song D; Yang F; Zhang Y; Guo Y; Qu Y; Zhang X; Zhu Y; Cui S Cancer Imaging; 2022 Apr; 22(1):17. PubMed ID: 35379339 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]