References
- Demchuk AM, Hill MD, Barber PA, et al. Importance of early ischemic computed tomography changes using ASPECTS in NINDS rtPA stroke study. Stroke. 2005;36(10):2110–2115.
- Barber PA, Demchuk AM, Zhang J, et al. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta stroke programme early CT score. Lancet. 2000;355(9216):1670–1674.
- Hacke W, Kaste M, Fieschi C, et al. Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke: the European cooperative acute stroke study (ECASS). JAMA. 1995;274(13):1017–1025.
- Grotta JC, Chiu D, Lu M, et al. Agreement and variability in the interpretation of early CT changes in stroke patients qualifying for intravenous rtPA therapy. Stroke. 1999;30(8):1528–1533.
- Puetz V, Dzialowski I, Hill MD, et al. The Alberta stroke program early CT score in clinical practice: what have we learned? Int J Stroke. 2009;4(5):354–364.
- Schröder J, Thomalla G. A critical review of Alberta stroke program early CT score for evaluation of acute stroke imaging. Front Neurol. 2017;7.
- Farzin B, Fahed R, Guilbert F, et al. Early CT changes in patients admitted for thrombectomy: intrarater and interrater agreement. Neurology. 2016;87(3):249–256.
- Krupinski EA. Current perspectives in medical image perception. Atten Percept Psychophys. 2010;72(5):1205–1217.
- Bal S, Bhatia R, Menon BK, et al. Time dependence of reliability of noncontrast computed tomography in comparison to computed tomography angiography source image in acute ischemic stroke. Int J Stroke. 2015;10(1):55–60.
- van Seeters T, Biessels GJ, Niesten JM, et al. Reliability of visual assessment of non-contrast CT, CT angiography source images and CT perfusion in patients with suspected ischemic stroke. Plos One. 2013;8(10):e75615.
- Arsava EM, Saarinen JT, Unal A, et al. Impact of window setting optimization on accuracy of computed tomography and computed tomography angiography source image-based Alberta stroke program early computed tomography score. J Stroke Cerebrovasc Dis Off J Natl Stroke Assoc. 2014;23(1):12–16.
- Aviv RI, Mandelcorn J, Chakraborty S, et al. Alberta stroke program early CT scoring of CT perfusion in early stroke visualization and assessment. Am J Neuroradiol. 2007;28(10):1975–1980.
- Phuttharak W, Sawanyawisuth K, Sangpetngam B, et al. CT interpretation by ASPECTS in hyperacute ischemic stroke predicting functional outcomes. Jpn J Radiol. 2013;31(10):701–705.
- Pexman JHW, Hill MD, Buchan AM, et al. Hyperacute stroke: experience essential when reading unenhanced CT scans. Am J Neuroradiol. 2004;25(3):516–518.
- Dror I. Perception is far from perfection: the role of the brain and mind in constructing realities. Behav Brain Sci. 2005;28(6):763.
- Styles E. The psychology of attention. 2nd ed. Hove, East Sussex: Taylor & Francis; 2014. p. 351 p.
- van Zoest W, Donk M. Bottom-up and top-down control in visual search. Perception. 2004;33(8):927–937.
- Clark K, Cain MS, Adcock RA, et al. Context matters: the structure of task goals affects accuracy in multiple-target visual search. Appl Ergon. 2014;45(3):528–533.
- Tversky A, Kahneman D. Extensional versus intuitive reasoning: the conjunction fallacy in probability judgment. Psychol Rev. 1983;90(4):293–315.
- Tversky A, Kahneman D. Judgment under uncertainty: heuristics and biases. Science. 1974;185(4157):1124–1131.
- Siegel S. The rationality of perception. Oxford, UK: Oxford University Press; 2016. p. 248.
- Cain MS, Adamo SH, Mitroff SR. A taxonomy of errors in multiple-target visual search. Vis Cogn. 2013;21(7):899–921.
- Nodine CF, Kundel HL. Using eye movements to study visual search and to improve tumor detection. RadioGraphics. 1987;7(6):1241–1250.
- Matsumoto H, Terao Y, Yugeta A, et al. Where do neurologists look when viewing brain CT images? An eye-tracking study involving stroke cases. PLoS ONE. 2011;6:12.
- Zerna C, von Kummer R, Gerber J, et al. Telemedical brain computed tomography misinterpretation by stroke neurologists is not associated with thrombolysis-related intracranial hemorrhage. J Stroke Cerebrovasc Dis. 2015;24(7):1520–1526.
- Puetz V, Bodechtel U, Gerber JC, et al. Reliability of brain CT evaluation by stroke neurologists in telemedicine. Neurology. 2013;80(4):332–338.
- Coutts SB, Demchuk AM, Barber PA, et al. Interobserver variation of ASPECTS in real time. Stroke. 2004;35(5):e103–5.
- Fraser-Mackenzie PAF, Dror IE. Dynamic reasoning and time pressure: transition from analytical operations to experiential responses. Theory Decis. 2011;71(2):211–225.
- Dror I. A novel approach to minimize error in the medical domain: cognitive neuroscientific insights into training. Med Teach. 2011;33:34–38.
- Dey S, Evans J, Tham C, et al. Abstract TP51: when can aspects be read reliably? Stroke. 2017;48(Suppl1):ATP51–ATP51.
- Balcetis E, Dunning D. See what you want to see: motivational influences on visual perception. J Pers Soc Psychol. 2006;91(4):612–625.
- Krupinski EA, Siddiqui K, Siegel E, et al. Influence of 8-bit vs. 11-bit digital displays on observer performance and visual search: a multi-center evaluation. J Soc Inf Disp. 2007;15(6):385.
- Saunders RS, Baker JA, Delong DM, et al. Does image quality matter? Impact of resolution and noise on mammographic task performance. Med Phys. 2007;34(10):3971–3981.
- Evans JW, Dey S, Eesa M, et al. Abstract WP55: through thick and thin: improved aspects grading and dense vessel detection using simple NCCT post-processing. Stroke. 2017;48(Suppl1):AWP55–AWP55.
- Hafeez M, Qiu W, Quang H, et al. Algorithm enhanced gray-white matter non-contrast CT improves reliability of ASPECTS scoring. International Stroke Conference; 2018; Los Angeles, USA. [In submission for publication].
- Dror IA. Hierarchy of expert performance. J Appl Res Mem Cogn. 2016;5(2):121–127.
- Nakashima R, Watanabe C, Maeda E, et al. The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions. Psychol Res. 2015;79(5):729–738.
- Wood G, Batt J, Appelboam A, et al. Exploring the impact of expertise, clinical history, and visual search on electrocardiogram interpretation. Med Decis Making. 2014;34(1):75–83.
- Nodine CF, Kundel HL, Mello-Thoms C, et al. How experience and training influence mammography expertise. Acad Radiol. 1999;6(10):575–585.
- Coutts SB, Hill MD, Demchuk AM, et al. ASPECTS reading requires training and experience. Stroke. 2003;34(10):e179–e179.
- Kok EM, van Geel K, van Merriënboer JJG, et al. What we do and do not know about teaching medical image interpretation. Front Psychol. 2017;8:309.
- Kok EM, Jarodzka H, de Bruin ABH, et al. Systematic viewing in radiology: seeing more, missing less? Adv Health Sci Educ Theory Pract. 2016;21(1):189–205.
- Sherbino J, Kulasegaram K, Howey E, et al. Ineffectiveness of cognitive forcing strategies to reduce biases in diagnostic reasoning: a controlled trial. CJEM J Can Assoc Emerg Physicians. 2014;16(1):34–40.
- Schuster D, Rivera J, Sellers BC, et al. Perceptual training for visual search. Ergonomics. 2013;56(7):1101–1115.
- Menon BK, d’Esterre CD, Qazi EM, et al. CT angiography: a new tool for the imaging triage of patients with acute ischemic stroke. Radiology. 2015;275(2):510–520.