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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. Yu Y, et al. Among authors: he y, he z. JAMA Netw Open. 2020 Dec 1;3(12):e2028086. doi: 10.1001/jamanetworkopen.2020.28086. JAMA Netw Open. 2020. PMID: 33289845 Free PMC article.
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. Yu Y, et al. Among authors: he z. EBioMedicine. 2021 Jul;69:103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4. EBioMedicine. 2021. PMID: 34233259 Free PMC article. Clinical Trial.
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study.
Huang L, Lin W, Xie D, Yu Y, Cao H, Liao G, Wu S, Yao L, Wang Z, Wang M, Wang S, Wang G, Zhang D, Yao S, He Z, Cho WC, Chen D, Zhang Z, Li W, Qiao G, Chan LW, Zhou H. Huang L, et al. Among authors: he z. Eur Radiol. 2022 Mar;32(3):1983-1996. doi: 10.1007/s00330-021-08268-z. Epub 2021 Oct 16. Eur Radiol. 2022. PMID: 34654966 Free PMC article. Clinical Trial.
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[No authors listed] [No authors listed] PMID: 35927597
17,625 results
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