4.7 Article

Detectability of low and intermediate or high risk prostate cancer with combined T2-weighted and diffusion-weighted MRI

期刊

EUROPEAN RADIOLOGY
卷 22, 期 8, 页码 1812-1819

出版社

SPRINGER
DOI: 10.1007/s00330-012-2430-5

关键词

Prostate neoplasms; Magnetic resonance imaging; Diffusion-weighted magnetic resonance imaging; Gleason score; ROC curve

向作者/读者索取更多资源

To evaluate the incremental value of diffusion-weighted imaging (DWI) in combination with T2-weighted imaging to detect low (Gleason score, a parts per thousand currency sign 6) and intermediate or high risk (Gleason score, a parts per thousand yen 7) prostate cancer. Fifty-one patients who underwent MRI before prostatectomy were evaluated. Two readers independently scored the probability of tumour in eight regions of prostate on T2-weighted images (T2WI) and T2WI combined with apparent diffusion coefficient (ADC) maps. Data were divided into two groups-low risk and intermediate or high risk prostate cancer-and correlated with histopathological results. Diagnostic performance parameters, areas under the receiver-operating characteristic curve (AUCs) and interreader agreement were calculated. For both readers, AUCs of combined T2WI and ADC maps were greater than those of T2WI in intermediate or high risk (reader 1, 0.887 vs. 0.859; reader 2, 0.732 vs 0.662, P < 0.05) prostate cancers, but not in low risk (reader 1, 0.719 vs 0.725; reader 2, 0.685 vs. 0.680, P > 0.05) prostate cancers. Weighted kappa value of combined T2WI and ADC maps was 0.689. The addition of DWI to T2-weighted imaging improves the accuracy of detecting intermediate or high risk prostate cancers, but not for low risk prostate cancer detection. aEuro cent Gleason scores influence diagnostic performance of MRI for prostate cancer detection. aEuro cent Addition of DWI does not improve low risk prostate cancer detection. aEuro cent Combined T2WI and DWI may help select intermediate or high risk patients.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据