1. Our work on a prognostic imaging marker for breast cancer was published in Radiology. We proposed a novel metric for measuring intratumoral spatial heterogeneity that predicts recurrence-free survival after neoadjuvant chemotherapy for breast cancer. This work was discussed in an accompanying editorial by Robert Gillies [May 2018].
  2. Congratulations to Dr. Jia Wu for receiving the NIH Pathway to Independence Award! This highly competitive K99/R00 grant administered by the NCI provides 5-year funding that will help him transition to an independent acadamic career. [Feb 2018]
  3. We received an R01 grant from the NCI to develop prognostic and predictive imaging biomarkers in breast cancer as well as to identify their molecular basis. [Feb 2018]
  4. Our work on a prognostic imaging signature for early stage lung cancer was published in a special issue 'Imaging in Radiation Oncology' of the Red Journal. In this study, we elucidated the molecular basis of a CT imaging signature that predicted survival in multiple patient cohorts.  When combined with established prognosticators, the imaging signature improves survival prediciton. [Jan 2018]
  5. Our work on an immune signature in lung cancer was published in JAMA Oncology. In this study, an immune signature of 25 gene pairs was developed and validated to be highly prognostic of survival in early stage non-squamous non-small cell lung cancer. [Jul 2017]
  6. Our work on breast cancer imaging subtypes was published in Clinical Cancer Research. This study discovered novel breast cancer subtypes based on tumor and parenchymal imaging phenotypes, and elucidated their molecular underpinnings and prognostic signaficance. [Jan 2017]
  7. Our first R01 grant was funded by the NCI on December 18, 2015. The goal of this project is to develop image analysis and computational tools to enalbe MRI-based radiation treatment planning. [Dec 2015]
  8. Congratulations to Dr. Yi Cui for winning the ASTRO Basic/Translational Science Abstract Award! He will present his work on novel prognostic imaging biomarkers in pancreatic cancer at 2015 ASTRO annual meeting. This work will also be presented at 2015 AAPM Science Council Research Symposium. [Sep 2015]
  9. Congratulations to Dr. Madhu Gudur for winning the ASTRO Resident Clinical/Basic Science Research award! His work entitled ‘A unifying probabilistic Bayesian approach to derive electron density from MRI for radiation therapy treatment planning’ was presented at 2014 ASTRO annual meeting. [Sep 2014]
  10. Our NIH/NCI R00 grant was funded on September 1, 2014. The goal of this project is to develop on-board real-time volumetric imaging methods for lung cancer radiotherapy. [Sep 2014]