Significance of Computed Tomography in the Diagnosis of Cerebrovascular Accidents
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.
Copyright (c) 2014 Sumnima Acharya, Shyam Kishore Chaturvedi
This work is licensed under a Creative Commons Attribution 4.0 International License.
- The Journal of Lumbini Medical College (JLMC) publishes open access articles under the terms of the Creative Commons Attribution (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- JLMC requires an exclusive licence to publish the article first in its journal in print and online.
- The corresponding author should read and agree to the following statement before submission of the manuscript for publication,
- License agreement
- In submitting an article to Journal of Lumbini Medical College (JLMC) I certify that:
- I am authorized by my co-authors to enter into these arrangements.
- I warrant, on behalf of myself and my co-authors, that:
- the article is original, has not been formally published in any other peer-reviewed journal, is not under consideration by any other journal and does not infringe any existing copyright or any other third party rights;
- I am/we are the sole author(s) of the article and have full authority to enter into this agreement and in granting rights to JLMC are not in breach of any other obligation;
- the article contains nothing that is unlawful, libellous, or which would, if published, constitute a breach of contract or of confidence or of commitment given to secrecy;
- I/we have taken due care to ensure the integrity of the article. To my/our - and currently accepted scientific - knowledge all statements contained in it purporting to be facts are true and any formula or instruction contained in the article will not, if followed accurately, cause any injury, illness or damage to the user.
- I, and all co-authors, agree that the article, if editorially accepted for publication, shall be licensed under the Creative Commons Attribution License 4.0. If the law requires that the article be published in the public domain, I/we will notify JLMC at the time of submission, and in such cases the article shall be released under the Creative Commons 1.0 Public Domain Dedication waiver. For the avoidance of doubt it is stated that sections 1 and 2 of this license agreement shall apply and prevail regardless of whether the article is published under Creative Commons Attribution License 4.0 or the Creative Commons 1.0 Public Domain Dedication waiver.
- I, and all co-authors, agree that, if the article is editorially accepted for publication in JLMC, data included in the article shall be made available under the Creative Commons 1.0 Public Domain Dedication waiver, unless otherwise stated. For the avoidance of doubt it is stated that sections 1, 2, and 3 of this license agreement shall apply and prevail.
Please visit Creative Commons web page for details of the terms.