Literature DB >> 33379240

Clinical Value of CT for Differentiation between Ascites and Hemorrhage: An Experimental In-Vitro Study.

Maximilian Kerschbaum1, Leonhard Andreas Schurr2, Moritz Riedl1, Agnes Mayr1, Isabella Weiß1, Lisa Klute1, Daniel Popp1, Christian Pfeifer1, Antonio Ernstberger3, Volker Alt1, Lena Marie Dendl4.   

Abstract

BACKGROUND: Abdominal trauma, leading to intra-abdominal bleeding, is a life-threatening condition that might need emergency surgical intervention. Sonography and Computed Tomography (CT) are most commonly used to detect free intra-abdominal fluid. This study investigates the accuracy of CT to distinguish between ascites and intra-abdominal hemorrhage.
METHODS: Ascites were collected during a clinical routine. Three serial dilutions, mixing ascites with whole blood samples of the patient and with two blood group identical donors, were prepared. Laboratory-chemical analysis and radiological evaluation using CT with measurement of average Hounsfield Units (HU) were performed.
RESULTS: Between ascites and whole blood as well as between ascites and the 1:1-ratio-samples, HU values differed significantly (p < 0.001). All further dilutions showed HU values with no significant difference compared to ascites (p ≥ 0.42). Whole blood showed significantly higher HU values than ascites and every step of the serial dilutions (p < 0.001). Measured HU values were also dependent on time and the exact point of measurement in the micro reaction vessels.
CONCLUSIONS: In patients suffering from blunt abdominal trauma with preexisting ascites, HU values in CT imaging are not valid enough to exclude an acute hemorrhage.

Entities:  

Keywords:  abdominal injuries; ascites; computed tomography; hemorrhage; trauma

Year:  2020        PMID: 33379240     DOI: 10.3390/jcm10010076

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  1 in total

1.  Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.

Authors:  Huitao Zhang; Wenhao Lv; Haofeng Diao; Li Shang
Journal:  Comput Math Methods Med       Date:  2022-05-04       Impact factor: 2.809

  1 in total

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