Computer Assisted Cancer Device -- 3D Imaging

Abstract

It is well documented that breast cancer is frequently missed on mammograms, leading to delayed detection and potentially less successful treatment. Our studies show that approximately 32% of cancers can be detected early using mammograms. While current Computer-Assisted Detection (CAD) technology is designed to capture as many of these cancers as possible, it is not able to offer information specific enough to assist the radiologist in determining the best course of action once a suspicious region is identified. The use of additional clinically relevant information will help the radiologist determine the best course of treatment. Approximately 4.6 billion dollars was spent on breast biopsies in 2002, and only 10-30% of these biopsies resulted in the diagnosis of breast cancer. The use of all available sensor and patient history data in diagnosis will help to eliminate a significant number of these unnecessary biopsies. The technical objective of the Computer-Assisted Cancer Device project was to develop a platform technology that will allow for a significant improvement in the accuracy of interpreting mammograms through the use of Second Generation Computer-Assisted Detection (2nd Generation CAD) that is designed for using not only the current year's screening mammograms (as is common in 1st generation commercial CAD), but also any additional clinically relevant information (e.g., prior mammograms, other sensors like 3D ultrasound/MRI/IR, participant history information, etc.). Specifically, in this study, the authors added a 3-D breast ultrasound examination to the modalities already used in the clinical care of enrolled participants as additional input to the development of a CAD algorithm. Using additional sources of information will help move CAD technology from being a detection aid to becoming a diagnostic aid.

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Document Details

Document Type
Technical Report
Publication Date
Oct 31, 2007
Accession Number
ADA496198

Entities

People

  • Albert V. Porambo
  • Kevin Woods
  • Michael Liebman

Organizations

  • Henry M. Jackson Foundation for the Advancement of Military Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Breast Cancer
  • Computers
  • Data Analysis
  • Demographic Cohorts
  • Detection
  • Detectors
  • Image Processing
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Mathematical Models
  • Physicians
  • Platforms
  • Three Dimensional
  • Two Dimensional
  • Ultrasounds

Fields of Study

  • Medicine

Readers

  • Database Systems and Applications
  • Medical Imaging.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.