Literature DB >> 24531133

EEG interpretation reliability and interpreter confidence: a large single-center study.

Arthur C Grant1, Samah G Abdel-Baki2, Jeremy Weedon3, Vanessa Arnedo4, Geetha Chari4, Ewa Koziorynska4, Catherine Lushbough4, Douglas Maus5, Tresa McSween4, Katherine A Mortati4, Alexandra Reznikov4, Ahmet Omurtag6.   

Abstract

The intrarater and interrater reliability (I&IR) of EEG interpretation has significant implications for the value of EEG as a diagnostic tool. We measured both the intrarater reliability and the interrater reliability of EEG interpretation based on the interpretation of complete EEGs into standard diagnostic categories and rater confidence in their interpretations and investigated sources of variance in EEG interpretations. During two distinct time intervals, six board-certified clinical neurophysiologists classified 300 EEGs into one or more of seven diagnostic categories and assigned a subjective confidence to their interpretations. Each EEG was read by three readers. Each reader interpreted 150 unique studies, and 50 studies were re-interpreted to generate intrarater data. A generalizability study assessed the contribution of subjects, readers, and the interaction between subjects and readers to interpretation variance. Five of the six readers had a median confidence of ≥99%, and the upper quartile of confidence values was 100% for all six readers. Intrarater Cohen's kappa (κc) ranged from 0.33 to 0.73 with an aggregated value of 0.59. Cohen's kappa ranged from 0.29 to 0.62 for the 15 reader pairs, with an aggregated Fleiss kappa of 0.44 for interrater agreement. Cohen's kappa was not significantly different across rater pairs (chi-square=17.3, df=14, p=0.24). Variance due to subjects (i.e., EEGs) was 65.3%, due to readers was 3.9%, and due to the interaction between readers and subjects was 30.8%. Experienced epileptologists have very high confidence in their EEG interpretations and low to moderate I&IR, a common paradox in clinical medicine. A necessary, but insufficient, condition to improve EEG interpretation accuracy is to increase intrarater and interrater reliability. This goal could be accomplished, for instance, with an automated online application integrated into a continuing medical education module that measures and reports EEG I&IR to individual users.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Confidence; EEG; Interrater reliability; Intrarater reliability

Mesh:

Year:  2014        PMID: 24531133      PMCID: PMC3965251          DOI: 10.1016/j.yebeh.2014.01.011

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  21 in total

1.  Inter-rater reliability of the EEG reading in patients with childhood idiopathic epilepsy.

Authors:  Paolo Piccinelli; Maurizio Viri; Claudio Zucca; Renato Borgatti; Antonino Romeo; Laura Giordano; Umberto Balottin; Ettore Beghi
Journal:  Epilepsy Res       Date:  2005 Aug-Sep       Impact factor: 3.045

2.  The ACNS subcommittee on research terminology for continuous EEG monitoring: proposed standardized terminology for rhythmic and periodic EEG patterns encountered in critically ill patients.

Authors:  Lawrence J Hirsch; Richard P Brenner; Frank W Drislane; Elson So; Peter W Kaplan; Kenneth G Jordan; Susan T Herman; Suzette M LaRoche; Bryan Young; Thomas P Bleck; Mark L Scheuer; Ronald G Emerson
Journal:  J Clin Neurophysiol       Date:  2005-04       Impact factor: 2.177

3.  Intra-rater reliability of EEG interpretations.

Authors:  S C LITTLE; S C RAFFEL
Journal:  J Nerv Ment Dis       Date:  1962-07       Impact factor: 2.254

Review 4.  Overconfidence as a cause of diagnostic error in medicine.

Authors:  Eta S Berner; Mark L Graber
Journal:  Am J Med       Date:  2008-05       Impact factor: 4.965

5.  Overconfidence in clinical decision making.

Authors:  Pat Croskerry; Geoff Norman
Journal:  Am J Med       Date:  2008-05       Impact factor: 4.965

6.  Reliability and accuracy of localization by scalp ictal EEG.

Authors:  S S Spencer; P D Williamson; S L Bridgers; R H Mattson; D V Cicchetti; D D Spencer
Journal:  Neurology       Date:  1985-11       Impact factor: 9.910

7.  Interobserver reliability of visual interpretation of electroencephalograms in children with newly diagnosed seizures.

Authors:  Hans Stroink; Robbert-Jan Schimsheimer; Al W de Weerd; Ada T Geerts; Willem F Arts; Els A Peeters; Oebele F Brouwer; A Boudewijn Peters; Cees A van Donselaar
Journal:  Dev Med Child Neurol       Date:  2006-05       Impact factor: 5.449

8.  Inter-observer variability of the EEG diagnosis of seizures in comatose patients.

Authors:  H E Ronner; S C Ponten; C J Stam; B M J Uitdehaag
Journal:  Seizure       Date:  2008-11-28       Impact factor: 3.184

9.  Interobserver agreement in the interpretation of EEG patterns in critically ill adults.

Authors:  Paula A Gerber; Kevin E Chapman; Steve S Chung; Cornelia Drees; Rama K Maganti; Yu-Tze Ng; David M Treiman; Andrew S Little; John F Kerrigan
Journal:  J Clin Neurophysiol       Date:  2008-10       Impact factor: 2.177

10.  Accuracy and interobserver reliability of scalp ictal EEG.

Authors:  T S Walczak; R A Radtke; D V Lewis
Journal:  Neurology       Date:  1992-12       Impact factor: 9.910

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  24 in total

1.  Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications.

Authors:  Jennifer A Williams; Fodé Abass Cisse; Mike Schaekermann; Foksouna Sakadi; Nana Rahamatou Tassiou; Gladia C Hotan; Aissatou Kenda Bah; Abdoul Bachir Djibo Hamani; Andrew Lim; Edward C W Leung; Tadeu A Fantaneanu; Tracey A Milligan; Vidita Khatri; Daniel B Hoch; Manav V Vyas; Alice D Lam; Joseph M Cohen; Andre C Vogel; Edith Law; Farrah J Mateen
Journal:  Seizure       Date:  2019-05-31       Impact factor: 3.184

2.  Quantitative EEG predicts outcomes in children after cardiac arrest.

Authors:  Seungha Lee; Xuelong Zhao; Kathryn A Davis; Alexis A Topjian; Brian Litt; Nicholas S Abend
Journal:  Neurology       Date:  2019-04-10       Impact factor: 9.910

3.  Dynamic complexity measures and entropy paths for modelling and comparison of evolution of patients with drug resistant epileptic encephalopathy syndromes (DREES).

Authors:  Ricardo Zavala-Yoe; Ricardo A Ramirez-Mendoza
Journal:  Metab Brain Dis       Date:  2017-06-09       Impact factor: 3.584

4.  Measuring expertise in identifying interictal epileptiform discharges.

Authors:  Nitish M Harid; Jin Jing; Jacob Hogan; Fábio A Nascimento; An Ouyang; Wei-Long Zheng; Wendong Ge; Sahar F Zafar; Jennifer A Kim; D Lam Alice; Aline Herlopian; Douglas Maus; Ioannis Karakis; Marcus Ng; Shenda Hong; Zhu Yu; Peter W Kaplan; Sydney Cash; Mouhsin Shafi; Gabriel Martz; Jonathan J Halford; Michael Brandon Westover
Journal:  Epileptic Disord       Date:  2022-06-01       Impact factor: 2.333

5.  Detecting abnormal electroencephalograms using deep convolutional networks.

Authors:  K G van Leeuwen; H Sun; M Tabaeizadeh; A F Struck; M J A M van Putten; M B Westover
Journal:  Clin Neurophysiol       Date:  2018-11-17       Impact factor: 3.708

6.  Diagnostic accuracy of microEEG: a miniature, wireless EEG device.

Authors:  Arthur C Grant; Samah G Abdel-Baki; Ahmet Omurtag; Richard Sinert; Geetha Chari; Schweta Malhotra; Jeremy Weedon; Andre A Fenton; Shahriar Zehtabchi
Journal:  Epilepsy Behav       Date:  2014-04-12       Impact factor: 2.937

7.  Electroencephalography Technologist Inter-rater Agreement and Interpretation of Pediatric Critical Care Electroencephalography.

Authors:  Stephanie Ahrens; Jaime D Twanow; Jorge Vidaurre; Satyanarayana Gedela; Melissa Moore-Clingenpeel; Adam P Ostendorf
Journal:  Pediatr Neurol       Date:  2020-11-10       Impact factor: 3.372

8.  Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study.

Authors:  John Thomas; Prasanth Thangavel; Wei Yan Peh; Jin Jing; Rajamanickam Yuvaraj; Sydney S Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Brandon Westover; Justin Dauwels
Journal:  Int J Neural Syst       Date:  2021-01-12       Impact factor: 6.325

9.  Prospective validation study of an epilepsy seizure risk system for outpatient evaluation.

Authors:  Sharon Chiang; Daniel M Goldenholz; Robert Moss; Vikram R Rao; Zulfi Haneef; William H Theodore; Jonathan K Kleen; Jay Gavvala; Marina Vannucci; John M Stern
Journal:  Epilepsia       Date:  2019-12-02       Impact factor: 6.740

10.  Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis.

Authors:  Prasanth Thangavel; John Thomas; Wei Yan Peh; Jin Jing; Rajamanickam Yuvaraj; Sydney S Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Brandon Westover; Justin Dauwels
Journal:  Int J Neural Syst       Date:  2021-07-16       Impact factor: 6.325

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