Mechanisms of Intraductal Tumor Spread
Abstract
During the reporting period we have improved the system for automatic acquisition, annotation and reconstruction of tissue structures from serial tissue sections that we built during the first funding year. We have addressed mainly the amount of interaction required for registering and annotating the images. As we present in the report, we have implemented and integrated new image analysis methods that with a minimum amount of interaction are able to detect the boundaries of tissue structures (tumors, normal ducts, etc.) which can then be rendered in 3D. As a result the time required has been reduced from a month to one or two weeks, depending on the size of the block. We continue working on speeding the acquisition and annotation of the cases. Using our system we have imaged and reconstructed three tissue blocks of erbb2 positive ductal carcinoma in situ of the breast (DCIS) . The blocks have also involvement of invasive carcinoma and some adjacent normal tissue. We are now applying our analysis software to quantify the level of amplification and compare it between all three types of tissue, create a map of the amplification and see if there is a relation between the morphology of the tumor/surrounding tissue and the level of amplification which could be related to the spread of the disease.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 2002
- Accession Number
- ADA410452
Entities
People
- Carlos O. De Solorzano
Organizations
- University of California, Berkeley