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Frequency of Correct Findings of Abdominal Ultrasonography Compared with CT Scan in Detection of Solid Intra-Abdominal Visceral Injurie

Authors: Khan, Muhammad; Uzair, Muhammad; Junaid Yousaf; Waqas, Abdul; Shaheer Khalid; Haider, Syed Ijlal; Ijaz, Zainab; +7 Authors

Frequency of Correct Findings of Abdominal Ultrasonography Compared with CT Scan in Detection of Solid Intra-Abdominal Visceral Injurie

Abstract

Background: Blunt abdominal trauma (BAT) is very common, the prevalence being 12–15%. Evaluation of patients with BAT is a challenge. This study aimed to compare the USG & CT with regards the frequency of correct findings in the detection of solid intra-abdominal injuries. Objectives: To determine the frequency of correct findings of abdominal ultrasonography compared with CT scan in the detection of solid intra-abdominal visceral injuries. Methods: The study was carried out at Radiology Department Nishtar Hospital, Multan & Children Hospital Multan, Pakistan, for a duration of six months with Eighty-eight patients selected using non-probability purposive sampling technique. Results: Mean age of the patients was 35.83±14.02 years. There were 75(85.2%) male and 13(14.8%) female in the present study, respectively. Ultrasonography detected abdominal injury in 49(55.7%) patients while it was detected in 59(67%) patients by computed tomography scan. Abdominal injury detected by both ultrasonography and computed tomography was 48 patients (true positive). Ultrasound sensitivity was revealed 81.36%, specificity 96.55%, diagnostic accuracy 86.36%, Positive predictive value 97.95%, and Negative predictive value 71.79%. Conclusion: CT scan is the gold standard modality for blunt abdominal trauma, whereas ultrasound can be used as the first-line modality in the patients of blunt abdominal trauma.

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Keywords

Intra-Abdominal Visceral Injuries, Ultrasonography, Computed Tomography Scan

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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