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692 related items for PubMed ID: 34453461
1. 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 [Abstract] [Full Text] [Related]
2. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities. Wang H, Nie P, Wang Y, Xu W, Duan S, Chen H, Hao D, Liu J. J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956 [Abstract] [Full Text] [Related]
5. 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 [Abstract] [Full Text] [Related]
6. An MRI-Based Radiomics Nomogram to Distinguish Ductal Carcinoma In Situ with Microinvasion From Ductal Carcinoma In Situ of Breast Cancer. Wu Z, Lin Q, Wang H, Wang G, Fu G, Bian T. Acad Radiol; 2023 Sep; 30 Suppl 2():S71-S81. PubMed ID: 37211478 [Abstract] [Full Text] [Related]
7. [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 23; 46(5):428-437. PubMed ID: 38742356 [Abstract] [Full Text] [Related]
8. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer. Xiao M, Ma F, Li Y, Li Y, Li M, Zhang G, Qiang J. J Magn Reson Imaging; 2020 Sep 23; 52(3):885-896. PubMed ID: 32096586 [Abstract] [Full Text] [Related]
9. Preoperative Evaluation of Gd-EOB-DTPA-Enhanced MRI Radiomics-Based Nomogram in Small Solitary Hepatocellular Carcinoma (≤3 cm) With Microvascular Invasion: A Two-Center Study. Tian Y, Hua H, Peng Q, Zhang Z, Wang X, Han J, Ma W, Chen J. J Magn Reson Imaging; 2022 Nov 23; 56(5):1459-1472. PubMed ID: 35298849 [Abstract] [Full Text] [Related]
10. 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 04; 22(1):17. PubMed ID: 35379339 [Abstract] [Full Text] [Related]
11. 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 Apr 04; 31(2):247-263. PubMed ID: 36744360 [Abstract] [Full Text] [Related]
18. Multi-Sequence and Multi-Regional MRI-Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer. Zhang L, Li X, Yang L, Tang Y, Guo J, Li D, Li S, Li Y, Wang L, Lei Y, Qiao H, Yang G, Wang X. J Magn Reson Imaging; 2023 Jul 04; 58(1):258-269. PubMed ID: 36300676 [Abstract] [Full Text] [Related]
20. Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics. Chen W, Lin G, Kong C, Wu X, Hu Y, Chen M, Xia S, Lu C, Xu M, Ji J. Br J Radiol; 2024 Feb 02; 97(1154):439-450. PubMed ID: 38308028 [Abstract] [Full Text] [Related] Page: [Next] [New Search]