M.D. ( Sichuan University)

Liu Zaiyi， Doctor of Medicine, winner of the National Science Fund for Distinguished Young Scholars; Chief Physician, Professor, Doctoral Supervisor; Harvard University Visiting Scholar. Director of Department of Radiology, Guangdong Provincial People's Hospital. Dr. Liu has been committed to medical image big data mining, imaging artificial intelligence research, and published more than 30 SCI papers with the first and corresponding authors, including J Clin Oncol, Ann Oncol, Clin Cancer Res and Radiology. He has hosted over a number of national-level projects including the the National Science Fund for Distinguished Young Scholars and the National Key R&D Program of China. Dr Liu has obtained 1 national invention patent, 1 utility model patent, and 4 computer software copyright registrations. His outstanding work in the research of imaging big data has promoted the development of imaging research in the country to a certain extent, and has been invited to give special reports at international academic conferences, including the World Molecular Imaging Conference and the European Radiology Conference.

Selected Publications:

1. Huang YQ, Liang CH, He L, Tian J, Liang CS, Chen X, Ma ZL, Liu ZY. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. J Clin Oncol. 2016 Jun 20;34(18):2157-64. doi: 10.1200/JCO.2015.65.9128. Epub 2016 May 2. Erratum in: J Clin Oncol. 2016 Jul 10;34(20):2436. PMID: 27138577. （2019 IF 32.956）
2.Dong D, Fang MJ, Tang L, Shan XH, Gao JB, Giganti F, Wang RP, Chen X, Wang XX, Palumbo D, Fu J, Li WC, Li J, Zhong LZ, De Cobelli F, Ji JF, Liu ZY, Tian J. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study. Ann Oncol. 2020 Jul;31(7):912-920. doi: 10.1016/j.annonc.2020.04.003. Epub 2020 Apr 15. PMID: 32304748. （2019 IF 18.274）
3. Liu Z, Li Z, Qu J, Zhang R, Zhou X, Li L, Sun K, Tang Z, Jiang H, Li H, Xiong Q, Ding Y, Zhao X, Wang K, Liu Z, Tian J. Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study. Clin Cancer Res. 2019 Jun 15;25(12):3538-3547. doi: 10.1158/1078-0432.CCR-18-3190. Epub 2019 Mar 6. PMID: 30842125.（2019 IF 10.107）
4.Song J, Shi J, Dong D, Fang M, Zhong W, Wang K, Wu N, Huang Y, Liu Z, Cheng Y, Gan Y, Zhou Y, Zhou P, Chen B, Liang C, Liu Z, Li W, Tian J. A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy. Clin Cancer Res. 2018 Aug 1;24(15):3583-3592. doi: 10.1158/1078-0432.CCR-17-2507. Epub 2018 Mar 21. PMID: 29563137. （2019 IF 10.107）
5.Huang Y, Liu Z, He L, Chen X, Pan D, Ma Z, Liang C, Tian J, Liang C. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer. Radiology. 2016 Dec;281(3):947-957. doi: 10.1148/radiol.2016152234. Epub 2016 Jun 27. PMID: 27347764. （2019 IF 7.931）
6.Huang Y, Liang C, Liu Z. Nomogram for Predicting Pulmonary Hypertension in Patients without Pulmonary Embolism. Radiology. 2016 Jul;280(1):327-8. doi: 10.1148/radiol.2016152584. PMID: 27322982. （2019 IF 7.931）
7.Chen X, Qin L, Pan D, Huang Y, Yan L, Wang G, Liu Y, Liang C, Liu Z. Liver diffusion-weighted MR imaging: reproducibility comparison of ADC measurements obtained with multiple breath-hold, free-breathing, respiratory-triggered, and navigator-triggered techniques. Radiology. 2014 Apr;271(1):113-25. doi: 10.1148/radiol.13131572. Epub 2014 Jan 16. PMID: 24475860. （2019 IF 7.931）
8.Liu ZY, Wang Y, Liang CH, Li XH, Wang GY, Liu HJ, Li Y. In vitro labeling of mesenchymal stem cells with superparamagnetic iron oxide by means of microbubble-enhanced US exposure: initial experience. Radiology. 2009 Oct;253(1):153-9. doi: 10.1148/radiol.2531081974. Epub 2009 Aug 25. PMID: 19710004. （2019 IF 7.931）
9.Zhang F, Yao S, Li Z, Liang C, Zhao K, Huang Y, Gao Y, Qu J, Li Z, Liu Z. Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features. Clin Transl Med. 2020 Jun 28. doi: 10.1002/ctm2.110. Epub ahead of print. PMID: 32594660. （2019 IF 7.919）
10.Zhang L, Dong D, Zhang W, Hao X, Fang M, Wang S, Li W, Liu Z, Wang R, Zhou J, Tian J. A Deep Learning Risk Prediction Model for Overall Survival in Patients with Gastric Cancer: A Multicenter Study. Radiother Oncol. 2020 Jun 12:S0167-8140(20)30333-9. （2019 IF 4.856）