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344 related items for PubMed ID: 36744360
1. 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 [Abstract] [Full Text] [Related]
2. 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]
5. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer. Yu Y, Tan Y, Xie C, Hu Q, Ouyang J, Chen Y, Gu Y, Li A, Lu N, He Z, Yang Y, Chen K, Ma J, Li C, Ma M, Li X, Zhang R, Zhong H, Ou Q, Zhang Y, He Y, Li G, Wu Z, Su F, Song E, Yao H. JAMA Netw Open; 2020 Dec 01; 3(12):e2028086. PubMed ID: 33289845 [Abstract] [Full Text] [Related]
6. 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 Dec 01; 2022():6729473. PubMed ID: 36051932 [Abstract] [Full Text] [Related]
7. Radiomics Nomogram of DCE-MRI for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer. Mao N, Dai Y, Lin F, Ma H, Duan S, Xie H, Zhao W, Hong N. Front Oncol; 2020 Dec 01; 10():541849. PubMed ID: 33381444 [Abstract] [Full Text] [Related]
8. Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study. Mao N, Yin P, Li Q, Wang Q, Liu M, Ma H, Dong J, Che K, Wang Z, Duan S, Zhang X, Hong N, Xie H. Eur Radiol; 2020 Dec 01; 30(12):6732-6739. PubMed ID: 32607630 [Abstract] [Full Text] [Related]
10. Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer. Tan H, Wu Y, Bao F, Zhou J, Wan J, Tian J, Lin Y, Wang M. Br J Radiol; 2020 Jul 01; 93(1111):20191019. PubMed ID: 32401540 [Abstract] [Full Text] [Related]
11. 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 01; 60(3):1203-1212. PubMed ID: 38088478 [Abstract] [Full Text] [Related]
12. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer. Zhang X, Yang Z, Cui W, Zheng C, Li H, Li Y, Lu L, Mao J, Zeng W, Yang X, Zheng J, Shen J. Eur Radiol; 2021 Aug 01; 31(8):5924-5939. PubMed ID: 33569620 [Abstract] [Full Text] [Related]
13. A two-center study of a combined nomogram based on mammography and MRI to predict ALN metastasis in breast cancer. Hua Y, Peng Q, Han J, Fei J, Sun A. Magn Reson Imaging; 2024 Jul 01; 110():128-137. PubMed ID: 38631535 [Abstract] [Full Text] [Related]
14. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study. Yu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H. EBioMedicine; 2021 Jul 01; 69():103460. PubMed ID: 34233259 [Abstract] [Full Text] [Related]
15. Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer. Yu FH, Wang JX, Ye XH, Deng J, Hang J, Yang B. Eur J Radiol; 2019 Oct 01; 119():108658. PubMed ID: 31521878 [Abstract] [Full Text] [Related]
16. Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer. Chen Y, Xie Y, Li B, Shao H, Na Z, Wang Q, Jing H. BMC Cancer; 2023 Apr 13; 23(1):340. PubMed ID: 37055722 [Abstract] [Full Text] [Related]
17. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer]. Jia CL, Cao Y, Song Q, Zhang WB, Li JJ, Wu XX, Yu PY, Mou YK, Mao N, Song XC. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec 07; 55(12):1154-1161. PubMed ID: 33342131 [Abstract] [Full Text] [Related]
18. Non-invasive Assessment of Axillary Lymph Node Metastasis Risk in Early Invasive Breast Cancer Adopting Automated Breast Volume Scanning-Based Radiomics Nomogram: A Multicenter Study. Wang H, Yang XW, Chen F, Qin YY, Li XB, Ma SM, Lei JQ, Nan CL, Zhang WY, Chen W, Guo SL. Ultrasound Med Biol; 2023 May 07; 49(5):1202-1211. PubMed ID: 36746744 [Abstract] [Full Text] [Related]
19. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer. Qiu Y, Zhang X, Wu Z, Wu S, Yang Z, Wang D, Le H, Mao J, Dai G, Tian X, Zhou R, Huang J, Hu L, Shen J. Front Oncol; 2022 May 07; 12():811347. PubMed ID: 35296027 [Abstract] [Full Text] [Related]
20. Clinical study on the prediction of ALN metastasis based on intratumoral and peritumoral DCE-MRI radiomics and clinico-radiological characteristics in breast cancer. Wang Y, Shang Y, Guo Y, Hai M, Gao Y, Wu Q, Li S, Liao J, Sun X, Wu Y, Wang M, Tan H. Front Oncol; 2024 May 07; 14():1357145. PubMed ID: 38567148 [Abstract] [Full Text] [Related] Page: [Next] [New Search]