Time-Series Analysis of Human Interpretation Data in Mammography

Abstract

Recent research has documented that the human observer is a significant source of interpretation errors in mammography in the U.S. However, it has yet to be determined whether or not the rate or likelihood of radiologist-specific error changes across the length of time the radiologist has been reading during a single session, or across the cumulative time the radiologist reads in a year. The purpose of this study was to apply basic methods from the statistical analysis of time series in order to gain novel insights into the characteristics of the human interpretation of mammograms.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA434583

Entities

People

  • Craig A. Beam
  • Edward A. Sickles
  • Emily F. Conant
  • Harold L. Kundel
  • Ji-Hyun Lee
  • Patricia A. Romily

Organizations

  • H. Lee Moffitt Cancer Center & Research Institute

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Clinical Medicine
  • Data Sets
  • Detection
  • Electronic Mail
  • Federal Law
  • Mammography
  • Neoplasms
  • Physicians
  • Sampling
  • Scanning
  • Sensitivity
  • Statistical Analysis
  • Time Series Analysis

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Geodesy
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.