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A comparison between benign and malignant appendiceal mucocele in CT based on multiple factors analysis |
MI Yucheng1, LI Qianyun1, ZHU Nina1, YING Xuyan2, YIN Liling3, PAN Weixing1, WANG Dongnv1. |
1.Department of Radiology, Taizhou Hospital, Taizhou, 317000; 2.Department of Radiology, Chinese Traditional Medicine Hospital of Xianju, Taizhou, 317300; 3.Department of Radiology, People’s Hospital of Xianju, Taizhou, 317300 |
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Cite this article: |
MI Yucheng,LI Qianyun,ZHU Nina, et al. A comparison between benign and malignant appendiceal mucocele in CT based on multiple factors analysis[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2018, 48(9): 672-675.
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Abstract Objective: To assess by multiple-factor analysis the feasibility of using CT in differentiating malignant from benign lesions in patients with pathologically confirmed appendiceal mucoceles. Methods: CT scans of 27 patients with pathologically confirmed appendiceal mucoceles were reviewed retrospectively. The pathologic results were simple mucocele (n=4), mucosal hyperplasia (n=2), mucinous cystadenoma (n=13), which were formed into a benign group, and mucinous cystadenocarcinoma (n=8), which constituted the malignant group. The clinical characteristics and the CT results were analyzed respectively. The sensitivity and specificity of the significant CT results in diagnosis of malignant appendiceal mucoceles were calculated. Results: There was statistical difference in age between malignant and benign group (P<0.05). CT showed significant differences in wall thickness (OR=3.023, 95%CI=1.106-5.468) and contour (OR=14.486, 95%CI=2.011-96.268) between malignant and benign cases (P<0.05). The sensitivity of wall thickness and contour in diagnosis of malignant appendiceal mucoceles was 62.5% and 75% respectively. The specificity of wall thickness and contour was 100% and 84% respectively. Conclusion: Differentiation of malignant from benign mucoceles can be difficult with CT. Age, wall thickness and contour are the factors most likely to be associated with malignancy.
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Received: 17 January 2018
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