Field:

  • Biomedical engineering
  • Liver disease
  • Oncology
  • Surgery and subspecialties

Location: Ochsner Clinical School

Type of student: Volunteer/extra-curricular

Type of work: 

  • Chart review
  • Secondary data analysis
  • Systematic review

The management of liver tumors is often dictated by tumor size and location relative to vascular structures. Despite significant advances in medical imaging, determining the resectability of a tumor continues to be a challenge. 3D printers offer an opportunity to generate extremely accurate physical models of patient-specific liver and tumor anatomy at a relatively low cost. In collaboration with Dr Korak Sarkar (Dept of Neurology), we have begun generating models to guide in determining resectability, planning surgical approaches and for education of students, residents and patients. We are in the pilot phase of developing this application, but hope to expand its use in the coming year. Student involvement would include help with processing imaging, manuscript and presentation preparation.

Prerequisite skills: A backgroung in computer programing, imaging or engineering would be helpful, but is not required.

Time frame: Open time frame