Mechanisms of Intraductal Tumor Spread

Abstract

During the administrative funding period of this grant we have developed a system that permits three-dimensional reconstruction of intraductal tumors (DCIS) from physical tissue sections. The system reduces the interaction required for low-resolution imaging of H&E stained sections, registration of images of consecutive sections and annotation of tissue structures i.e. morphologically normal ducts and intraductal tumors in the images. In addition, we have developed fully automatic tools for image registration and annotation that are now being integrated in our system and used in the reconstruction of the latest tissue specimens. Complementing morphological H&E based reconstruction, our system can be used for morphologically driven acquisition of high-resolution images from immunostained intermediate sections, both using fluorescence and brightfield microscopy. We have used our system to characterize the cellular differences between malignant transformed cells and morphologically normal cells of ducts either in continuum or in the proximity of DCIS tumors. We have looked at the distributions following markers: ER and PR status, Ki67 (proliferation). Also, software developed for this projects have been used to study the correlation between genomic instability and telomere length in breast cancer progression.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA430635

Entities

People

  • Carlos O. De Solorzano

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Breast Cancer
  • Computational Science
  • Computers
  • Confocal Microscopy
  • Data Storage Systems
  • Genetics
  • Graphical User Interface
  • Health Services
  • Histology
  • Image Processing
  • Medical Personnel
  • Neoplasms
  • Optics
  • Stem Cells
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.