title: Should non acute and recurrent headaches have neuroimaging before review by a Neurologist?--a review in a Southern Nigerian Tertiary Hospital.
abstract: BACKGROUND
  Headache is a common complaint in general practice and it is known that most headaches are primary and that the yield of neuroimaging like cranial computed tomography (CT) in headache is generally low. In this study, we were able to demonstrate that the yield of neuroimaging in non-acute and recurrent headache could be higher if cases are reviewed first by a specialist Neurologist before cranial CT.
  
  
  METHODS
  Seventy-four cases that were referred to the specialist neurology clinic with complaints of chronic and recurrent headaches without focal neurological deficit that had CT scan were reviewed consecutively using the short form of the International Classification of Headache Disorders second edition (ICHD 2) criteria after their demographics of age, sex were captured, to find out the proportion and characteristics of study cases that had identifiable cranial lesions on cranial CT scan. All cases were reviewed by a specialist Neurologist before CT scan and all CT films were reviewed by a specialist Radiologist. Age, sex and the distribution of CT findings were described from a frequency table and mean age of study cases with and without identifiable lesions on CT were compared with t-test for any significant difference and the effect of gender on the presence of identifiable lesions was tested with chi square and the agreement between clinical and CT diagnoses were tested on kappa statistics.
  
  
  RESULTS
  (1) Mean age of cases was 37.55 (22.06) years. (2) No significant effect of gender was found on intracranial lesions (P = 0.345). (3) Intracranial lesions were found in 47.3% of cases and the mean age was higher compared to cases with normal findings on cranial CT (P = 0.019). (4) Clinical and CT diagnoses agreed in 56.2% of the cases (P = 0.000).
  
  
  CONCLUSIONS
  The high yield of intracranial lesions may be accounted for by the method of selection of cases for cranial CT.
authors: Department of Medicine, University of Benin, Benin City, Nigeria. dnimei@yahoo.com
authors: Frank Aiwansoba
authors: FA
authors: Imarhiagbe
authors: Ehi
authors: E
authors: Ogbeide
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D002648:Child; D002675:Child, Preschool; D002908:Chronic Disease; D005260:Female; D006261:Headache / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D008297:Male; D008875:Middle Aged; D059906:Neuroimaging / Q000295:instrumentation* / Q000379:methods; D009462:Neurology / Q000379:methods* / Q000706:statistics & numerical data; D009549:Nigeria; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D012008:Recurrence; D013223:Statistics as Topic; D013997:Time Factors; D014057:Tomography, X-Ray Computed / Q000295:instrumentation; D055815:Young Adult