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[多排螺旋计算机断层扫描在鉴别卵巢肿瘤与非卵巢肿块中的价值]

[Value of multidetector computed tomography in differentiating ovarian tumors from non-ovarian masses].

作者信息

Rao Sheng-Xiang, Zeng Meng-Su, Cheng Wei-Zhong, Yang Shan, Miao Xi-Yin, Zhang Li-Jun, Chen Gang

机构信息

Department of Diagnostic Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

出版信息

Zhonghua Zhong Liu Za Zhi. 2007 Nov;29(11):856-9.

PMID:18396647
Abstract

OBJECTIVE

To evaluate the ability of multidetector computed tomography (MDCT) in differentiating ovarian tumors from non-ovarian masses.

METHODS

Forty-two cases with pelvic masses were examined with 16-row MDCT. All source image of each case was put into workstation for multi-planar reconstruction (MPR) and curved planar reconstruction(CPR). Axial image combined with 2D image was used for determining the relationship of the mass to ovarian vascular pedicle and identifying the normal ovary, which was compared with postoperative pathologic result and the finding during operation. All the data was compared using Fisher's exact test.

RESULTS

There were 28 ovarian tumors and 14 non-ovarian tumors in this series. If the ovarian vascular pedicle sign was used for determining whether the tumor was from the ovary or not, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy was 89.3%, 85.7%, 92.6%, 80.0% and 88.1%, respectively, with a significant difference in differentiating the tumor from the ovary or non-ovarian organs (P <0.05). If the identification of full normal ovary was used to determine non-ovarian origin of the tumor, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy was 50.0%, 100.0%, 100.0%, 80.0% and 83.3%, respectively, also with a significant difference in differentiating the tumors from the ovary or non-ovarian organs (P <0.05).

CONCLUSION

MDCT can clearly show the relationship of the tumor to the normal ovary and its vascular pedicle, which is very helpful in differentiating the ovarian tumors from a non-ovarian masses.

摘要

目的

评估多排螺旋计算机断层扫描(MDCT)鉴别卵巢肿瘤与非卵巢肿块的能力。

方法

对42例盆腔肿块患者进行16排MDCT检查。将每例患者的所有源图像输入工作站进行多平面重建(MPR)和曲面重建(CPR)。利用轴位图像结合二维图像确定肿块与卵巢血管蒂的关系并识别正常卵巢,将其与术后病理结果及术中发现进行比较。所有数据采用Fisher精确检验进行比较。

结果

本系列中有28例卵巢肿瘤和14例非卵巢肿瘤。若采用卵巢血管蒂征来判断肿瘤是否来自卵巢,其敏感性、特异性、阳性预测值、阴性预测值和准确性分别为89.3%、85.7%、92.6%、80.0%和88.1%,在鉴别肿瘤来自卵巢或非卵巢器官方面有显著差异(P<0.05)。若采用识别完整正常卵巢来判断肿瘤的非卵巢来源,其敏感性、特异性、阳性预测值、阴性预测值和准确性分别为50.0%、100.0%、100.0%、80.0%和83.3%,在鉴别肿瘤来自卵巢或非卵巢器官方面也有显著差异(P<0.05)。

结论

MDCT能够清晰显示肿瘤与正常卵巢及其血管蒂的关系,这对鉴别卵巢肿瘤与非卵巢肿块非常有帮助。

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