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- Marla C Levine, Alexander Arroyo, Antonios Likourezos, Peter Homel, and Eitan Dickman.
- Department of Pediatrics, University of Texas at Austin, Dell Medical School, Dell Children's Medical Center of Central Texas, Austin TX, United States of America. Electronic address: mclevine@ascension.org.
- Am J Emerg Med. 2019 Aug 1; 37 (8): 1466-1469.
ObjectiveMost soft tissue neck masses represent benign inflammatory or infectious processes; however, in some cases the diagnosis is not clear and a broader differential must be considered. The aim of this study was to compare point-of-care ultrasound (POCUS) to radiology department imaging (RDI) in the diagnosis of soft tissue neck masses.MethodsThis prospective pilot study involved a convenience sample of patients ranging in age from 1 month to 18 years of age presenting to the Pediatric Emergency Department (PED) with a soft tissue neck mass. All children who presented to the PED with soft tissue neck mass at times when an investigator was in the department, and who were candidates for enrollment, underwent a POCUS. The managing pediatric emergency medicine (PEM) provider determined whether RDI was indicated. The results of the POCUS sonologist and radiologist were compared. The kappa statistic was used to analyze agreement with p < 0.05 denoting statistical significance.ResultsTwenty-seven patients were enrolled into the study. Twenty-two received radiology ultrasound (RUS), 3 patients received CT, and 2 patients received both RUS and CT. There was agreement between POCUS and RDI diagnoses in 21/27 cases (78%). Accordingly, overall concordance between POCUS and RDI diagnoses was good: the kappa statistic comparing diagnoses obtained by POCUS versus RDI was 0.69 (p < 0.001).ConclusionThis prospective pilot study describes the reliability of POCUS as an imaging modality in the management of patients with undifferentiated soft tissue neck masses. POCUS demonstrated good agreement with RDI as a bedside imaging tool in the evaluation of pediatric soft tissue neck masses.Copyright © 2018 Elsevier Inc. All rights reserved.
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