Literature DB >> 8896631

Interobserver agreement in assessing early CT signs of middle cerebral artery infarction.

R von Kummer1, R Holle, U Gizyska, E Hofmann, O Jansen, D Petersen, M Schumacher, K Sartor.   

Abstract

PURPOSE: To assess the reliability of detecting signs of hemispheric infarction on CT scans obtained within 6 hours of the onset of symptoms.
METHODS: A neuroradiologist selected 12 normal and 33 abnormal CT studies showing the hyperdense middle cerebral artery sign (HMCAS) (n = 10), brain swelling (n = 22), and parenchymal hypodensity (n = 33) from two series of 750 patients with recent onset of middle cerebral artery stroke. These selections served as the reference source for a nonblinded analysis of the initial and follow-up CT scans. Six neuroradiologists then reviewed the CT scans twice, first blinded then not blinded to clinical symptoms. They assessed the signs of infarction for each hemisphere separately and estimated the volume of abnormal parenchymal hypodensity in increments of 20% within the territory of the middle cerebral artery.
RESULTS: Unblinding the reviewers did not change interobserver agreement significantly. The chance adjusted agreement was moderate to substantial: kappa = .62 (95% confidence interval [CI], .46 to .78) and kappa = .57 (95% CI, .33 to .81) for the HMCAS of the right and left hemisphere, respectively; kappa = .59 (95% CI, .47 to .71) and kappa = .56 (95% CI, .38 to .74) for focal brain swelling of the right and left hemisphere, respectively; and kappa = .58 (95% CI, .50 to .66) and kappa = .55 (95% CI, .32 to .67) for parenchymal hypodensity of the right and left hemisphere, respectively. Weighted kappa was .65 and .57 for the estimation of the hypodense tissue volume in the right and left hemisphere, respectively. Agreement with the reference source ranged from 73% to 93% for all variables and both hemispheres.
CONCLUSION: Even with no clinical information, neuroradiologists can assess subtle CT signs of cerebral infarction within the first 6 hours of symptom onset with moderate to substantial interobserver agreement.

Entities:  

Mesh:

Year:  1996        PMID: 8896631      PMCID: PMC8338313     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  23 in total

1.  Perfusion CT scans.

Authors:  Rüdiger von Kummer
Journal:  AJNR Am J Neuroradiol       Date:  2002-02       Impact factor: 3.825

2.  The hypodense artery sign.

Authors:  Thomas C Lee; Eric S Bartlett; Allan J Fox; Sean P Symons
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

Review 3.  Actual diagnostic approach to the acute stroke patient.

Authors:  Karl-Olof Lövblad; Alison E Baird
Journal:  Eur Radiol       Date:  2005-12-22       Impact factor: 5.315

4.  Effect of CT acquisition parameters in the detection of subtle hypoattenuation in acute cerebral infarction: a phantom study.

Authors:  C Tanaka; T Ueguchi; E Shimosegawa; N Sasaki; T Johkoh; H Nakamura; J Hatazawa
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

Review 5.  Imaging in acute stroke--a personal view.

Authors:  Thomas Kucinski
Journal:  Klin Neuroradiol       Date:  2009-05-15

6.  Multimodal imaging in acute ischemic stroke.

Authors:  William A Copen
Journal:  Curr Treat Options Cardiovasc Med       Date:  2015-03

7.  Radiology resident evaluation of head CT scan orders in the emergency department.

Authors:  William K Erly; William G Berger; Elizabeth Krupinski; Joachim F Seeger; John A Guisto
Journal:  AJNR Am J Neuroradiol       Date:  2002-01       Impact factor: 3.825

8.  Automated CT segmentation and analysis for acute middle cerebral artery stroke.

Authors:  J A Maldjian; J Chalela; S E Kasner; D Liebeskind; J A Detre
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

Review 9.  Computed tomography in acute ischemic stroke.

Authors:  Karl-Olof Lövblad; Alison E Baird
Journal:  Neuroradiology       Date:  2009-12-02       Impact factor: 2.804

10.  Computer-aided diagnosis of hyperacute stroke with thrombolysis decision support using a contralateral comparative method of CT image analysis.

Authors:  Yao Shieh; Chien-Hung Chang; Mengkai Shieh; Tsong-Hai Lee; Yeu Jhy Chang; Ho-Fai Wong; Shy Chyi Chin; Scott Goodwin
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

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