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01-06-2019 | Diagnostic Radiology | Original Article

Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS

Authors: Takashi Nihashi, Takeo Ishigaki, Hiroko Satake, Shinji Ito, Osamu Kaii, Yoshine Mori, Kazuhiro Shimamoto, Hiromichi Fukushima, Kojiro Suzuki, Hiroyasu Umakoshi, Mitsuo Ohashi, Fumio Kawaguchi, Shinji Naganawa

Published in: Japanese Journal of Radiology | Issue 6/2019

Abstract

Purpose

To determine whether functional near-infrared spectroscopy (fNIRS) allows monitoring fatigue in radiologists during prolonged image interpretation.

Materials and methods

Nine radiologists participated as subjects in the present study and continuously interpreted medical images and generated reports for cases for more than 4 h under real clinical work conditions. We measured changes in oxygenated hemoglobin concentrations [oxy-Hb] in the prefrontal cortex using 16-channel fNIRS (OEG16ME, Spectratech) every hour during the Stroop task to evaluate fatigue of radiologists and recorded fatigue scale (FS) as a behavior data.

Results

Two subjects showed a subjective feeling of fatigue and an apparent decrease in brain activity after 4 h, so the experiment was completed in 4 h. The remaining seven subjects continued the experiment up to 5 h. FS decreased with time, and a significant reduction was observed between before and the end of image interpretation. Seven out of nine subjects showed a minimum [oxy-Hb] change at the end of prolonged image interpretation. The mean change of [oxy-Hb] at the end of all nine subjects was significantly less than the maximum during image interpretation.

Conclusion

fNIRS using the change of [oxy-Hb] may be useful for monitoring fatigue in radiologists during image interpretation.

Bhargavan M, Kaye AH, Forman HP, Sunshine JH. Workload of radiologists in United States in 2006–2007 and trends since 1991–1992. Radiology. 2009. https://doi.org/10.1148/radiol.2522081895.CrossRefPubMed

Nakajima Y, Yamada K, Imamura K, Kobayashi K. Radiologist supply and workload: international comparison—Working Group of Japanese College of Radiology. Radiat Med. 2008. https://doi.org/10.1007/s11604-008-0259-2.CrossRefPubMed

Krupinski EA, Berbaum KS, Caldwell RT, Schartz KM, Kim J. Long radiology workdays reduce detection and accommodation accuracy. J Am College Radiol. 2010. https://doi.org/10.1016/j.jacr.2010.03.004.CrossRef

Waite S, Scott J, Gale B, Fuchs T, Kolla S, Reede D. Interpretive error in radiology. AJR Am J Roentgenol. 2017. https://doi.org/10.2214/ajr.16.16963.CrossRefPubMed

Stec N, Arje D, Moody AR, Krupinski EA, Tyrrell PN. A systematic review of fatigue in radiology: is it a problem? AJR Am J Roentgenol. 2018. https://doi.org/10.2214/ajr.17.18613.CrossRefPubMed

Pattyn N, Neyt X, Henderickx D, Soetens E. Psychophysiological investigation of vigilance decrement: boredom or cognitive fatigue? Physiol Behav. 2008. https://doi.org/10.1016/j.physbeh.2007.09.016.CrossRefPubMed

Langner R, Eickhoff SB. Sustaining attention to simple tasks: a meta-analytic review of the neural mechanisms of vigilant attention. Psychol Bull. 2013. https://doi.org/10.1037/a0030694.CrossRefPubMed

Gui D, Xu S, Zhu S, Fang Z, Spaeth AM, Xin Y, et al. Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload. Neuroimage. 2015. https://doi.org/10.1016/j.neuroimage.2015.07.030.CrossRefPubMedPubMedCentral

Taylor-Phillips S, Elze MC, Krupinski EA, Dennick K, Gale AG, Clarke A, et al. Retrospective review of the drop in observer detection performance over time in lesion-enriched experimental studies. J Digit Imaging. 2015. https://doi.org/10.1007/s10278-014-9717-9.CrossRefPubMed

10.

Suda M, Fukuda M, Sato T, Iwata S, Song M, Kameyama M, et al. Subjective feeling of psychological fatigue is related to decreased reactivity in ventrolateral prefrontal cortex. Brain Res. 2009. https://doi.org/10.1016/j.brainres.2008.11.077.CrossRefPubMed

11.

Ishii A, Tanaka M, Shigihara Y, Kanai E, Funakura M, Watanabe Y. Neural effects of prolonged mental fatigue: a magnetoencephalography study. Brain Res. 2013. https://doi.org/10.1016/j.brainres.2013.07.022.CrossRefPubMed

12.

Sun Y, Lim J, Kwok K, Bezerianos A. Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks. Brain Cogn. 2014. https://doi.org/10.1016/j.bandc.2013.12.011.CrossRefPubMed

13.

Tanaka M, Ishii A, Watanabe Y. Neural effects of mental fatigue caused by continuous attention load: a magnetoencephalography study. Brain Res. 2014. https://doi.org/10.1016/j.brainres.2014.03.009.CrossRefPubMed

14.

Ishii A, Tanaka M, Watanabe Y. Neural mechanisms to predict subjective level of fatigue in the future: a magnetoencephalography study. Sci Rep. 2016. https://doi.org/10.1038/srep25097.CrossRefPubMedPubMedCentral

15.

Lim J, Wu WC, Wang J, Detre JA, Dinges DF, Rao H. Imaging brain fatigue from sustained mental workload: an ASL perfusion study of the time-on-task effect. Neuroimage. 2010. https://doi.org/10.1016/j.neuroimage.2009.11.020.CrossRefPubMedPubMedCentral

16.

Villringer A, Dirnagl U. Coupling of brain activity and cerebral blood flow: basis of functional neuroimaging. Cerebrovasc Brain Metab Rev. 1995;7(3):240–76.PubMed

17.

Gratton G, Goodman-Wood MR, Fabiani M. Comparison of neuronal and hemodynamic measures of the brain response to visual stimulation: an optical imaging study. Hum Brain Mapp. 2001;13(1):13–25.CrossRefPubMed

18.

Schroeter ML, Zysset S, Kupka T, Kruggel F, Yves von Cramon D. Near-infrared spectroscopy can detect brain activity during a color-word matching Stroop task in an event-related design. Hum Brain Mapp. 2002. https://doi.org/10.1002/hbm.10052.

19.

Rooks CR, Thom NJ, McCully KK, Dishman RK. Effects of incremental exercise on cerebral oxygenation measured by near-infrared spectroscopy: a systematic review. Prog Neurobiol. 2010. https://doi.org/10.1016/j.pneurobio.2010.06.002.CrossRefPubMed

20.

Matsubara T, Matsuo K, Nakashima M, Nakano M, Harada K, Watanuki T, et al. Prefrontal activation in response to emotional words in patients with bipolar disorder and major depressive disorder. Neuroimage. 2014. https://doi.org/10.1016/j.neuroimage.2013.04.098.CrossRefPubMed

21.

Kopton IM, Kenning P. Near-infrared spectroscopy (NIRS) as a new tool for neuroeconomic research. Front Hum Neurosci. 2014. https://doi.org/10.3389/fnhum.2014.00549.CrossRefPubMedPubMedCentral

22.

Kasai K, Fukuda M, Yahata N, Morita K, Fujii N. The future of real-world neuroscience: imaging techniques to assess active brains in social environments. Neurosci Res. 2015. https://doi.org/10.1016/j.neures.2014.11.007.CrossRefPubMed

23.

Yasumura A, Kokubo N, Yamamoto H, Yasumura Y, Nakagawa E, Kaga M, et al. Neurobehavioral and hemodynamic evaluation of Stroop and reverse Stroop interference in children with attention-deficit/hyperactivity disorder. Brain Develop. 2014. https://doi.org/10.1016/j.braindev.2013.01.005.CrossRef

24.

Hoshi Y, Kobayashi N, Tamura M. Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model. J Appl Physiol (Bethesda, Md: 1985). 2001. https://doi.org/10.1152/jappl.2001.90.5.1657.

25.

Ozawa S, Matsuda G, Hiraki K. Negative emotion modulates prefrontal cortex activity during a working memory task: a NIRS study. Front Hum Neurosci. 2014. https://doi.org/10.3389/fnhum.2014.00046.CrossRefPubMedPubMedCentral

26.

Ochi G, Yamada Y, Hyodo K, Suwabe K, Fukuie T, Byun K, et al. Neural basis for reduced executive performance with hypoxic exercise. Neuroimage. 2018. https://doi.org/10.1016/j.neuroimage.2017.12.091.CrossRefPubMed

27.

Watanabe E, Maki A, Kawaguchi F, Yamashita Y, Koizumi H, Mayanagi Y. Noninvasive cerebral blood volume measurement during seizures using multichannel near infrared spectroscopic topography. J Biomed Opt. 2000. https://doi.org/10.1117/1.429998.CrossRefPubMed

28.

Takizawa R, Fukuda M, Kawasaki S, Kasai K, Mimura M, Pu S, et al. Neuroimaging-aided differential diagnosis of the depressive state. Neuroimage. 2014. https://doi.org/10.1016/j.neuroimage.2013.05.126.CrossRefPubMed

29.

Yanagisawa H, Dan I, Tsuzuki D, Kato M, Okamoto M, Kyutoku Y, et al. Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test. Neuroimage. 2010. https://doi.org/10.1016/j.neuroimage.2009.12.023.CrossRefPubMed

30.

Kujach S, Byun K, Hyodo K, Suwabe K, Fukuie T, Laskowski R, et al. A transferable high-intensity intermittent exercise improves executive performance in association with dorsolateral prefrontal activation in young adults. Neuroimage. 2018. https://doi.org/10.1016/j.neuroimage.2017.12.003.CrossRefPubMed

31.

Parasuraman R, de Visser E, Clarke E, McGarry WR, Hussey E, Shaw T, et al. Detecting threat-related intentional actions of others: effects of image quality, response mode, and target cuing on vigilance. J Exp Psychol Appl. 2009. https://doi.org/10.1037/a0017132.CrossRefPubMed

32.

Jackson C. The Chalder fatigue scale (CFQ 11). Occup Med (Oxford, England). 2015. https://doi.org/10.1093/occmed/kqu168.CrossRef

33.

Pestilli F, Carrasco M, Heeger DJ, Gardner JL. Attentional enhancement via selection and pooling of early sensory responses in human visual cortex. Neuron. 2011. https://doi.org/10.1016/j.neuron.2011.09.025.CrossRefPubMedPubMedCentral

34.

Poghosyan V, Ioannides AA. Attention modulates earliest responses in the primary auditory and visual cortices. Neuron. 2008. https://doi.org/10.1016/j.neuron.2008.04.013.CrossRefPubMed

Title: Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS
Authors: Takashi Nihashi
Takeo Ishigaki
Hiroko Satake
Shinji Ito
Osamu Kaii
Yoshine Mori
Kazuhiro Shimamoto
Hiromichi Fukushima
Kojiro Suzuki
Hiroyasu Umakoshi
Mitsuo Ohashi
Fumio Kawaguchi
Shinji Naganawa
Publication date: 01-06-2019
Publisher: Springer Japan
Keywords: Diagnostic Radiology
Fatigue
Published in: Japanese Journal of Radiology / Issue 6/2019
Print ISSN: 1867-1071
Electronic ISSN: 1867-108X
DOI: https://doi.org/10.1007/s11604-019-00826-2

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS

Abstract

Purpose

Materials and methods

Results

Conclusion

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Purpose

Materials and methods

Results

Conclusion

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