Abstract

Introduction: Cerebrovascular Accident (CVA) is defined as abrupt onset of a neurological deficit that is attributable to a focal vascular cause. CT scan is a widely available, affordable, non-invasive and relatively accurate investigation in patients with stroke and is important to identify stroke pathology and exclude mimics. Aim of this study is to establish the diagnostic significance of computed tomography in cerebrovascular accident and to differentiate between cerebral infarction and cerebral haemorrhage with CT for better management of CVA.
 Methods: A one year observational cross sectional study was conducted in 100 patients that presented at the department of radiodiagnosis from emergency or ward within the one year of study period with the clinical diagnosis of stroke, and had a brain CT scan done within one to fourteen days of onset.
 Results: A total of 100 patients were studied. 66 were male and 34 were female with a male/female ratio of 1.9:1. Maximum number of cases (39%) was in the age group of 61-80 yrs. Among 100 patients, 55 cases were clinically diagnosed as hemorrhagic stroke and 45 cases were clinically diagnosed with an infarct. Out of the 55 hemorrhagic cases, two cases were diagnosed as both hemorrhage and infarct by CT scan, one case had normal CT scan findings and one had subdural haemorrhage. These four cases were excluded while comparing the clinical diagnosis with CT scan finding. Among 51 clinically diagnosed cases of hemorrhagic stroke, 32(62.7%) cases were proved by CT scan as hemorrhagic stroke and among clinically diagnosed cases of infarct, 39(86.7%) cases were proved by CT scan as infarct which is statistically significant (p <0.001). A significant agreement between clinical and CT diagnosis was observed as indicated by kappa value of 0.49. Sensitivity, specificity, positive predictive value and negative predictive value of clinical findings as compared to CT in diagnosing hemorrhage were 84.2%, 67.2%, 62.8% and 86.7% respectively. The accuracy of clinical diagnosis is 74%.
 Conclusion: This study showed that CT scan is a useful diagnostic modality to identify stroke pathology and to exclude mimics.

Highlights

  • Cerebrovascular Accident (CVA) is defined as abrupt onset of a neurological deficit that is attributable to a focal vascular cause

  • Among 51 clinically diagnosed cases of hemorrhagic stroke, 32(62.7%) cases were proved by CT scan as hemorrhagic stroke and among clinically diagnosed cases of infarct, 39(86.7%) cases were proved by CT scan as infarct which is statistically significant (p

  • Most patients with intracerebral hemorrhage visited our hospital in subacute stage and only 5 patients with infarction visited in chronic stage (Fig.1)

Read more

Summary

Introduction

Cerebrovascular Accident (CVA) is defined as abrupt onset of a neurological deficit that is attributable to a focal vascular cause. Cerebrovascular Accident (CVA) is defined by abrupt onset of a neurological deficit that is attributable to a focal vascular cause.[1] The four major types of CVA are cerebral infarction, intracerebral haemorrhage (ICH), primary subarachnoid haemorrhage (SAH) and venous occlusion.[2] CVA is increasingly recognized as one of the leading cause a - Lecturer, Department of Radiodiagnosis Lumbini Medical College, Palpa b - Professor and Head, Department of Radiodiagnosis Nepalgunj Medical College, Kohalpur. Of morbidity and mortality worldwide.[3] CVA is a major health issue in semi-industrialized countries like Nepal.[4] CT scan is a widely available, affordable, noninvasive and relatively accurate investigation in patients with stroke and is the modality of choice as an initial investigation in such patients and is important to identify stroke pathology and exclude mimics.[5,6] Therapeutic decisions regarding management of stroke require accurate diagnosis of stroke types and exclusion of mimics. Timed CT is a safe, noninvasive gold standard, and most accurate in distinguishing ICH from cerebral infarction.[7]

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.