Reader fatigue interpreting mammograms

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

6 Citations (Scopus)

Abstract

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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages312-318
Number of pages7
Volume6136 LNCS
DOIs
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)03029743
ISSN (Electronic)16113349

Other

Other10th International Workshop on Digital Mammography, IWDM 2010
CountrySpain
CityGirona, Catalonia
Period6/16/106/18/10

Fingerprint

Mammogram
Mammography
Afternoon
Fatigue
Fatigue of materials
Decrease
Observer
Diagnostics
Verify

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Krupinski, E. A. (2010). Reader fatigue interpreting mammograms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6136 LNCS, pp. 312-318). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS). https://doi.org/10.1007/978-3-642-13666-5_42

Reader fatigue interpreting mammograms. / Krupinski, Elizabeth A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6136 LNCS 2010. p. 312-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6136 LNCS).

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

Krupinski, EA 2010, Reader fatigue interpreting mammograms. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6136 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6136 LNCS, pp. 312-318, 10th International Workshop on Digital Mammography, IWDM 2010, Girona, Catalonia, Spain, 6/16/10. https://doi.org/10.1007/978-3-642-13666-5_42
Krupinski EA. Reader fatigue interpreting mammograms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6136 LNCS. 2010. p. 312-318. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-13666-5_42
Krupinski, Elizabeth A. / Reader fatigue interpreting mammograms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6136 LNCS 2010. pp. 312-318 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{5f2d7853c79c49b98b13be29639ba49d,
title = "Reader fatigue interpreting mammograms",
abstract = "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.",
keywords = "CDMAM, contrast detail curves, Full field digital mammography, quality assurance",
author = "Krupinski, {Elizabeth A}",
year = "2010",
doi = "10.1007/978-3-642-13666-5_42",
language = "English (US)",
isbn = "3642136656",
volume = "6136 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "312--318",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Reader fatigue interpreting mammograms

AU - Krupinski, Elizabeth A

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - CDMAM

KW - contrast detail curves

KW - Full field digital mammography

KW - quality assurance

UR - http://www.scopus.com/inward/record.url?scp=77954655728&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954655728&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-13666-5_42

DO - 10.1007/978-3-642-13666-5_42

M3 - Conference contribution

SN - 3642136656

SN - 9783642136658

VL - 6136 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 312

EP - 318

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -