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Year :2019
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Month :
September-October
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Volume :
8
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Issue :
4
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Page :
RO09 - RO11
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Prediction of Outcome in Traumatic Brain Injury Based on Computed Tomography Scan
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Correspondence Address :
Aastha Dhamija, Mamta Goyal, DN Awasthy,
Dr. Mamta Goyal,
Associate Professor (Radiodiagnosis), HIMS, Swami Rama Himalayan University, Jollygrant,
Dehradun-248016, Uttarakhand, India.
E-mail: drmamta2712@rediffmail.com
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Introduction: Introduction: Head injuries due to Road Traffic Accidents (RTA) succumbs nearly 1.3 million peoples every year on the roads worldwide. Due of its ability to accurately differentiate between the various forms of gross neuro-pathological lesions Computed Tomography (CT) scan remains the modality of choice for evaluating patients with head trauma.
Aim: To classify traumatic brain injuries using Marshall’s classification and to predict their outcome using the Glasgow Coma Scale (GCS).
Materials and Methods: In this prospective study, 30 patients with history of recent head trauma of less than 24 hours were included. All the patients had undergone Non Contrast Computed Tomography (NCCT) of head and findings of the scan were noted and classified by Marshall’s classification. The patients were followed for six months and their outcomes were recorded with GCS.
Results: Out of 30 patients with history of head trauma, 27 (90%) of the patients were males, mostly in the age group of 21-40 years with mean age being 32.4±21.65 years. Twenty one (70%) of the patient had contusions, 13 (43.3%) of the subjects showed good prognosis with the outcome score of 5. Most of the patients i.e. 11 (36.7%) of the total subjects belonged to category III of Marshall’s classification. Maximum morbidity 5 (16.6%) and mortality 4 (13.3%) were seen in class III of Marshall’s classification.
Conclusion: NCCT scan is investigation of choice for diagnosing the brain injury and planning neurological intervention. Marshall’s classification can help in aggressive neurological management of head injury patients according to score for good outcome.
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