Selected Publications

  1. Cui Y, Li B, Pollom EL, Horst KC, Li R, Integrating radiosensitivity and immune gene signatures for predicting benefit of radiotherapy in breast cancer. Clin Cancer Res. 2018 Oct 1;24(19):4754-4762. Featured in Highlights of This Issue
  2. Wu J, Li X, Teng X, Rubin DL, Napel S, Daniel BL, Li R. Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer. Breast Cancer Res. 2018 Sep 3;20(1):101
  3. Wu J, Cui Y, Sun X, Cao G, Li B, Ikeda DM, Kurian AW, and Li R. Intratumoral spatial heterogeneity by perfusion MR imaging predicts recurrence-free survival in locally advanced breast cancer treated with neoadjuvant chemotherapy. Radiology, 2018 Jul;288(1):26-35; PMID: 29714680. Highlighted by an Editorial
  4. Lee J, Li B, Cui Y, Sun X, Wu J, Zhu H, Yu J, Gensheimer MF, Loo BW Jr, Diehn M, and Li R. A quantitative CT imaging signature predicts survival and complements established prognosticators in stage I non-small cell lung cancer. Int J Radiat Oncol Biol Phys, 2018. Jan 10. doi: 10.1016/j.ijrobp.2018.01.006. [Epub ahead of print] (Imaging in Radiation Oncology - Special Issue).
  5. Li B, Cui Y, Diehn M, Li R. Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non-Small Cell Lung Cancer. JAMA Oncol. 2017 Nov 1;3(11):1529-1537. PubMed PMID: 28687838
  6. Wu J, Li B, Sun X, Cao G, Rubin DL, Napel S, Ikeda DM, Kurian AW, Li RHeterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer. Radiology. 2017 Nov;285(2):401-413. PubMed PMID: 28708462
  7. Wu J, Cui Y, Sun X, Cao G, Li B, Ikeda DM, Kurian AW, Li RUnsupervised clustering of quantitative image phenotypes reveals breast cancer subtypes with distinct prognoses and molecular pathways. Clinical cancer research. 2017 Jul 1;23(13):3334-3342 PMID: 28073839
  8. Ren S, Hara W, Wang L, Buyyounouski MK, Le QT, Xing L, Li RRobust Estimation of Electron Density From Anatomic Magnetic Resonance Imaging of the Brain Using a Unifying Multi-Atlas Approach. Int J Radiat Oncol Biol Phys. 2017 Mar 15;97(4):849-857. PubMed PMID: 28244422
  9. Wu J, Aguilera T, Shultz D, Gudur M, Rubin DL, Loo BW Jr, Diehn M, Li REarly-Stage Non-Small Cell Lung Cancer: Quantitative Imaging Characteristics of 18F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis. Radiology. 2016. 281(1):270-8. PubMed PMID: 27046074
  10. Cui Y, Song J, Pollom E, Alagappan M, Shirato H, Chang DT, Koong AC, Li RQuantitative Analysis of (18)F-Fluorodeoxyglucose Positron Emission Tomography Identifies Novel Prognostic Imaging Biomarkers in Locally Advanced Pancreatic Cancer Patients Treated With Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys. 2016 Sep 1;96(1):102-9. PubMed PMID: 27511850
  11. Cui Y, Tha KK, Terasaka S, Yamaguchi S, Wang J, Kudo K, Xing L, Shirato H, Li RPrognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images. Radiology. 2016 Feb;278(2):546-53 PubMed PMID: 26348233
  12. Gudur MS, Hara W, Le QT, Wang L, Xing L, Li RA unifying probabilistic Bayesian approach to derive electron density from MRI for radiation therapy treatment planning. Phys Med Biol. 2014 Nov 7;59(21):6595-606. doi: 10.1088/0031-9155/59/21/6595. PubMed PMID: 25321341

    A complete list of publications is available at: http://www.ncbi.nlm.nih.gov/pubmed/?term=ruijiang+li

 

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