Surgical Outcome of Extradural Hematoma in Relation to Preoperative Computed Tomographic Findings

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Abstract

Introduction: Extradural hematoma (EDH) is a unique form of traumatic brain injury. Extradural hematoma is a collection of blood between the skull and duramater due to bleeding from meningeal vessels is a common complication of head injury, often fatal if not treated in time. The incidence of EDH among traumatic brain injury patients has been reported to be in the range of 2.7 to 4%. CT was easily and widely used for confirming the diagnosis and location of the hematoma as well as for follow-up after the treatment period.

Aim of the study: Surgical outcome of extradural hematoma in relation to preoperative computed tomographic findings of extradural hematoma patients.

Material & Methods: This prospective study was conducted in the Department of Neurosurgery, Dhaka Medical College and Hospital during the period of January 2016 to December 2017. A total of 98 patients of both sex and any age with EDH who were selected purposively.

 Results: Among the total 98 patientsage range was 04- 55 years. Majority, 30 (30.60%) patients were from 21- 30 years of age. The mean age was found 25.24±12.2years. 78 (78.55 %) patients were male and 22 (22.44 %) patients were female. A male predominance was observed. It was observed that volume of hematoma (Mean ±SD=43.88±15.82 ml), thickness of hematoma (Mean ±SD=20.14±4.45mm) and Midline shift (Mean ±SD=5.82±2.33mm). Ventricular effacement was present in almost all cases (97.97%). Associated skull fracture was present in 46.92%.Total mortality was 3(3.06%).

Conclusion: Preoperative CT findings is most important prognostic factor of surgically treated EDH patient.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    DDC Code: 618.928 LCC Code: RG629.B73

  • Version of record

    v1.0

  • Issue date

    13 August 2022

  • Language

    en

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