Reader fatigue interpreting mammograms

Elisabeth A. Krupinski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


A number of studies have demonstrated that radiologists can become fatigued after reading cases for a number of hours. Some of these studies have demonstrated that there are associated decreases in observer performance (i.e., reduced accuracy), but mammographic reading has not been a focus of any of these studies. Based on these recent findings regarding decreases in performance as a function of time of day and/or number of hours reading, this retrospective study examined data from a variety of mammography studies in which readers participated in two sessions - once in the morning and once in the afternoon. The ROC Az data from these studies were compared for statistical differences between morning and afternoon reading. Overall there was a small yet significant (t = 2.365, p = 0.0277) between morning and afternoon diagnostic performance, with performance being degraded in the afternoon. These data suggest that reader fatigue may impact mammography interpretation performance, although more formal studies are required to verify these findings with a prospective study since this retrospective analysis did have limitations.

Original languageEnglish (US)
Title of host publicationDigital Mammography - 10th International Workshop, IWDM 2010, Proceedings
Number of pages7
StatePublished - 2010
Event10th International Workshop on Digital Mammography, IWDM 2010 - Girona, Catalonia, Spain
Duration: Jun 16 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6136 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th International Workshop on Digital Mammography, IWDM 2010
CityGirona, Catalonia


  • Full field digital mammography
  • contrast detail curves
  • quality assurance

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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