Monitoring of fatigue in radiologists during prolonged image interpretation using fNIRS
- 88 Downloads
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.
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.
fNIRS using the change of [oxy-Hb] may be useful for monitoring fatigue in radiologists during image interpretation.
KeywordsRadiologists Workload Fatigue Spectroscopy Near-infrared
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
This study was approved by the Institutional Review Board of Komaki City Hospital and Nagoya Jhohoku Radiology Clinic.
A comprehensive explanation of the experiment was given to subjects before this study and written informed consent was obtained. Authors from multi-institute participant in this study, and each author individually and significantly contributed to the research and the manuscript.
- 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.Google Scholar
- 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.
- 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.
- 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.Google Scholar