Interobserver variation and accuracy in the interpretation of computer tomography in solitary supratentorial brain lesions

Interobserver variation and accuracy in the interpretation of computer tomography in solitary supratentorial brain lesions

nerve conduction were abnormal in 16/19 (84%) of patients. Pattern reversal VEP was delayed in 6118 (33.3%) of patients. SSEPs showed a significant di...

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nerve conduction were abnormal in 16/19 (84%) of patients. Pattern reversal VEP was delayed in 6118 (33.3%) of patients. SSEPs showed a significant difference versus controls in respect of mean peripheral nerve conduction in median (P
and indices of renal dysfunction (e.g. GFR, urea or creatinin concentration), except for the N13N20 interval which showed a correlation with creatinin concentration (pcO.01). Some parameters of peripheral nerve conduction showed a correlation with indices of renal dysfunction. Thus central conduction failure occurs in preterminal renal failure, which can be quantified by evoked potential studies.

Interobserver variation and accuracy in the interpretation of computer tomography in solitary supratentorial brain lesions J.J. Heimans, C.H. Polman, J. Nauta (Amsterdam)

M. de Visser,

The clinical data combined with computed tomographic findings of 64 patients with a solitary supratentorial brain lesion were presented to two panels of six experienced clinicians (neurologists , neurosurgeons and neuroradiologists) . The diagnoses pbdicted by these clinicians were compared with each other (interobserver variation) and with the definite diagnosis which in almost all cases was based on histological examination of the involved tissue (validity of predicted diagnosis).

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Diagnoses were: infarction (n=5), low-grade glioma (n=9), high-grade glioma (n=31), abscess (n= l), malignant lymphoma (n=5), metastasis (n=9) and meningioma (n=4). The interobserver agreement was only moderate as was reflected by a kappa-coefficient of about 0.50. The predicted diagnoses were in accordance with the definite diagnoses in only 57%. Most errors were made in the differentiation between high-grade and low-grade glioma, between high-grade glioma and cerebral metastasis and in the detection of primary cerebral lymphoma.