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Published in: Abdominal Radiology 12/2017

01-12-2017

Distinguishing gastric anisakiasis from non-anisakiasis using unenhanced computed tomography

Authors: Hirokazu Ashida, Takao Igarashi, Kazuhiko Morikawa, Kenji Motohashi, Kunihiko Fukuda, Naoto Tamai

Published in: Abdominal Radiology | Issue 12/2017

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Abstract

Purpose

This study aimed to assess the diagnostic performance of unenhanced computed tomography (CT) for distinguishing gastric anisakiasis from non-anisakiasis gastric conditions and the reproducibility of CT findings.

Methods

Fifty-six anisakiasis and 74 non-anisakiasis cases with gastric wall thickening on urgent observation using unenhanced CT were included. Using a κ analysis, two radiologists independently assessed the reproducibility of CT findings, including “circumferential gastric wall thickening,” “gastric wall thickening extending more than two segments,” “bulky and low-density gastric wall thickening,” “increase in peri-gastric fat density,” and “ascites.” An anisakiasis diagnostic score (ADS) was developed for this study and was used to quantitatively evaluate the CT findings. An anisakiasis diagnostic prediction (ADP) with an appropriate cutoff value was used to further evaluate the ADS. Two radiologists reassessed the findings in consensus to determine the sensitivity, specificity, and accuracy of the CT findings, including the ADP and ADS area under the curve (AUC).

Results

Considering reproducibility, a substantial agreement (0.6 < κ < 0.8) was achieved for all findings except “circumferential gastric wall thickening” (κ = 0.499), whereas for diagnostic performance, all findings except ascites were significantly more frequent among the anisakiasis cases. “Bulky and low-density gastric wall thickening” had the highest sensitivity (98%), whereas “gastric wall thickening extending more than two segments” had the highest specificity (80%). The ADP sensitivity, specificity, and accuracy were 91%, 84%, and 87%, respectively. The AUC was 0.902 (p < 0.05).

Conclusions

Unenhanced CT findings are useful for distinguishing anisakiasis from non-anisakiasis gastric conditions with sufficient reproducibility.
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Metadata
Title
Distinguishing gastric anisakiasis from non-anisakiasis using unenhanced computed tomography
Authors
Hirokazu Ashida
Takao Igarashi
Kazuhiko Morikawa
Kenji Motohashi
Kunihiko Fukuda
Naoto Tamai
Publication date
01-12-2017
Publisher
Springer US
Published in
Abdominal Radiology / Issue 12/2017
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-017-1214-4

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