University of Chicago · Biomedical EngineeringBreast Cancer Imaging Lab
Xiaochuan Pan · Chicago, Illinois
Research Focus
Dr. Xiaochuan Pan's lab focuses on developing advanced imaging techniques to improve breast cancer treatment, specifically through intraoperative imaging during breast conserving surgery. The lab aims to enhance the identification of cancerous margins in lumpectomy specimens, thereby reducing the re-surgery rates for patients. Additionally, they work on creating a database of imaging and histopathological data for breast cancers that supports machine learning and deep learning applications in cancer research.
breast cancerintraoperative imagingdual-energy cone-beam CTlumpectomypositive margin identificationmachine learningimage reconstructiontumor databasecancer treatment3D imaging
Research Aims
5AIM 01Develop dual-energy cone-beam CT technology for lumpectomy specimen imaging.
AIM 02Acquire detailed imaging of invasive breast cancer specimens.
AIM 03Optimize scanning protocols for integration into clinical workflows.
AIM 04Evaluate imaging technology using actual patient specimens.
AIM 05Create a comprehensive tumor database for future research applications.
Skills the Lab Values
cone-beam CT imagingimage reconstructionhistopathological analysisdatabase management3D volumetric imagingclinical workflow optimizationalgorithm developmenttumor catalogingpatient specimen evaluationdata analysis
Output against the department
Publications596top 12% of dept.70th of 595
this lab
most publishedleast published
Citations13ktop 27% of dept.163rd of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.