Literature DB >> 22386166

Do long radiology workdays affect nodule detection in dynamic CT interpretation?

Elizabeth A Krupinski1, Kevin S Berbaum, Robert T Caldwell, Kevin M Schartz, Mark T Madsen, David J Kramer.   

Abstract

PURPOSE: A previous study demonstrated decreased diagnostic accuracy for finding fractures and decreased ability to focus on skeletal radiographs after a long working day. Skeletal radiographic examinations commonly have images that are displayed statically. The aim of this study was to investigate whether diagnostic accuracy for detecting pulmonary nodules on CT of the chest displayed dynamically would be similarly affected by fatigue.
METHODS: Twenty-two radiologists and 22 residents were given 2 tests searching CT chest sequences for a solitary pulmonary nodule before and after a day of clinical reading. To measure search time, 10 lung CT sequences, each containing 20 consecutive sections and a single nodule, were inspected using free search and navigation. To measure diagnostic accuracy, 100 CT sequences, each with 20 sections and half with nodules, were displayed at preset scrolling speed and duration. Accuracy was measured using receiver operating characteristic curve analysis. Visual strain was measured via dark vergence, an indicator of the ability to keep the eyes focused on the display.
RESULTS: Diagnostic accuracy was reduced after a day of clinical reading (P = .0246), but search time was not affected (P > .05). After a day of reading, dark vergence was significantly larger and more variable (P = .0098), reflecting higher levels of visual strain, and subjective ratings of fatigue were also higher.
CONCLUSIONS: After their usual workday, radiologists experience increased fatigue and decreased diagnostic accuracy for detecting pulmonary nodules on CT. Effects of fatigue may be mitigated by active interaction with the display.
Copyright © 2012 American College of Radiology. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22386166      PMCID: PMC3296477          DOI: 10.1016/j.jacr.2011.11.013

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  29 in total

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2.  Determinants of radiologists' desired workloads.

Authors:  Cristian Meghea; Jonathan H Sunshine
Journal:  J Am Coll Radiol       Date:  2007-03       Impact factor: 5.532

3.  Lung lesions: correlation between viewing time and detection.

Authors:  J W Oestmann; R Greene; D C Kushner; P M Bourgouin; L Linetsky; H J Llewellyn
Journal:  Radiology       Date:  1988-02       Impact factor: 11.105

4.  Near work, visual fatigue, and variations of oculomotor tonus.

Authors:  D A Owens; K Wolf-Kelly
Journal:  Invest Ophthalmol Vis Sci       Date:  1987-04       Impact factor: 4.799

5.  Abrupt visual onsets and selective attention: evidence from visual search.

Authors:  S Yantis; J Jonides
Journal:  J Exp Psychol Hum Percept Perform       Date:  1984-10       Impact factor: 3.332

6.  The relation of vergence effort to reports of visual fatigue following prolonged near work.

Authors:  R A Tyrrell; H W Leibowitz
Journal:  Hum Factors       Date:  1990-06       Impact factor: 2.888

7.  Dimensions of fatigue in different working populations.

Authors:  E Ahsberg
Journal:  Scand J Psychol       Date:  2000-09

8.  Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.

Authors:  Lorenzo L Pesce; Charles E Metz
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

9.  Measurement of visual strain in radiologists.

Authors:  Elizabeth A Krupinski; Kevin S Berbaum
Journal:  Acad Radiol       Date:  2009-05-05       Impact factor: 3.173

10.  Audit of the change in the on-call practices in neuroradiology and factors affecting it.

Authors:  Nitin Mukerji; Dorothy Wallace; Dipayan Mitra
Journal:  BMC Med Imaging       Date:  2006-10-16       Impact factor: 1.930

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  22 in total

1.  Real-time occupational stress and fatigue measurement in medical imaging practice.

Authors:  Elizabeth Krupinski; Bruce I Reiner
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

2.  Reshaping the emergency radiology call experience after the merger of two programs: the Yale experience.

Authors:  Michael S Kelleher; Michael F Rolen; S A Jamal Bokhari
Journal:  Emerg Radiol       Date:  2015-12-29

3.  Diagnostic Accuracy and Visual Search Efficiency: Single 8 MP vs. Dual 5 MP Displays.

Authors:  Elizabeth A Krupinski
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

4.  Increasing display luminance as a means to enhance interpretation accuracy and efficiency when reducing full-field digital mammography dose.

Authors:  Elizabeth A Krupinski
Journal:  J Med Imaging (Bellingham)       Date:  2018-07-27

5.  Risk Factors for Perceptual-versus-Interpretative Errors in Diagnostic Neuroradiology.

Authors:  S H Patel; C L Stanton; S G Miller; J T Patrie; J N Itri; T M Shepherd
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-11       Impact factor: 3.825

6.  The Effects of Fatigue From Overnight Shifts on Radiology Search Patterns and Diagnostic Performance.

Authors:  Tarek N Hanna; Matthew E Zygmont; Ryan Peterson; David Theriot; Haris Shekhani; Jamlik-Omari Johnson; Elizabeth A Krupinski
Journal:  J Am Coll Radiol       Date:  2018-02-01       Impact factor: 5.532

7.  Safety of working patterns among UK neuroradiologists: what can we learn from the aviation industry and cognitive science?

Authors:  John Reicher; Stuart Currie; Daniel Birchall
Journal:  Br J Radiol       Date:  2018-02-01       Impact factor: 3.039

8.  The Impact of Fatigue on Satisfaction of Search in Chest Radiography.

Authors:  Elizabeth A Krupinski; Kevin S Berbaum; Kevin M Schartz; Robert T Caldwell; Mark T Madsen
Journal:  Acad Radiol       Date:  2017-05-23       Impact factor: 3.173

9.  Review of learning opportunity rates: correlation with radiologist assignment, patient type and exam priority.

Authors:  Marla B K Sammer; Marcus D Sammer; Lane F Donnelly
Journal:  Pediatr Radiol       Date:  2019-07-17

10.  Effect of fatigue on reading computed tomography examination of the multiply injured patient.

Authors:  Elizabeth A Krupinski; Kevin M Schartz; Mark S Van Tassell; Mark T Madsen; Robert T Caldwell; Kevin S Berbaum
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-29
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