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DOI 10.1177/0846537119885671

Медицинская библиотека · Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2020

Value of CT Imaging in the Differentiation of Gastric Leiomyoma From Gastric Stromal Tumor.

Wang Jian, Zhou Xiaoxuan, Xu Fangyi, Ao Weiqun, Hu Hongjie

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Аннотация

PURPOSE: To discuss significant computed tomography (CT) findings that differentiate gastric leiomyomas (GLs) from small gastric stromal tumors (GSTs).

METHODS

One hundred sixty cases with pathologically proven GLs (n = 50) and GSTs (n = 110) with comprehensive CT images were enrolled in this retrospective study. Computed tomography findings (ie, size, location, contour, growth pattern, enhancement degree, necrosis, ulceration, calcification, and lymph nodes) were analyzed through the χ2 or Fisher exact test, independent T test, and multivariate (logistic regression) analysis. Sensitivity and specificity were also calculated.

RESULTS

Features of cardia location, endophytic growth, homogeneous gradual enhancement, absent of necrosis, long diameter less than 24 mm, short diameter less than 20 mm, unenhanced CT value larger than 35.2 Hounsfield units (HU), portal venous phase CT value larger than 67.4 HU, and enhancement degree of arterial and venous phase less than 16.2 HU and 32.4 HU were found to be statistically significant between GLs and small GSTs (P < .05). On multivariate analysis, cardia location, endophytic growth, and homogeneous gradual enhancement were independent predictive factors for GLs and small GSTs.

CONCLUSION

These 10 CT criteria are very helpful to differentiate GLs from small GSTs. Especially cardia location, endophytic growth, and homogeneous gradual enhancement are of high value in differential diagnosis.

Для цитирования: Wang Jian, Zhou Xiaoxuan, Xu Fangyi, Ao Weiqun, Hu Hongjie. Value of CT Imaging in the Differentiation of Gastric Leiomyoma From Gastric Stromal Tumor.. Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes. 2020. DOI: 10.1177/0846537119885671.

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