This study aims to evaluate the clinic value of ultrasound, computed tomography (CT) and serological testing in the differentiation between hepatic Cystic Echinococcosis (CE) types 1 and simple hepatic cysts.Totally 50 patients with CE Types 1 and 50 patients with simple hepatic cysts were included. All patients examined by ultrasound, CT and serological testing respectively. The receiver operating characteristic (ROC) curve of diagnosis methods was drawn and their sensitivity, specificity, Youden index, positive likelihood ratio, negative likelihood ratio, positive predictive value and negative predictive value were compared. Pathology result was used as golden standard.The area under ROC curve of ultrasound was 0.97 and of CT and serological testing was 0.79 and 0.71 respectively. The sensitivity of ultrasound in the diagnosis of CE Types 1 was 96.00%, specificity was 98.00%, the positive likelihood ratio was 48.00, and negative likelihood ratio was 0.04. Disease prevalence was 50%, positive predictive value was 97.96%, and negative predictive value was 96.08%. The sensitivity of CT was 80.00%, specificity was 62.00%, positive likelihood ratio was 2.11, and negative likelihood ratio was 0.32. Disease prevalence was 50%, positive predictive value was 67.80%, and negative predictive value was 75.61%. The sensitivity of immunological test was 86.00%, specificity was 72.00%, positive likelihood ratio was 3.07, and negative likelihood ratio was 0.19. Disease prevalence was 50%, positive predictive value was 75.44%, and negative predictive value was 83.72%. Combined ultrasound and immunological test, the sensitivity and the specificity was 82% and 100% respectively. Combined CT and immunological test, the sensitivity the specificity was 70% and 82% respectively.In the differentiate diagnosis of CE Types 1 and simple hepatic cyst, ultrasound is better than CT with high sensitivity and specificity, therefore recommended. Immunological examination is an important complement to the imaging examination.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6344192PMC
http://dx.doi.org/10.1097/MD.0000000000013731DOI Listing

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