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首页> 外文期刊>Radiology >Prostate cancer: incremental value of endorectal MR imaging findings for prediction of extracapsular extension.
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Prostate cancer: incremental value of endorectal MR imaging findings for prediction of extracapsular extension.

机译:前列腺癌:直肠内MR成像发现对预测囊外延伸的价值增加。

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PURPOSE: To assess the incremental value of endorectal magnetic resonance (MR) imaging findings in addition to clinical variables for prediction of extracapsular extension (ECE) in patients with prostate cancer. MATERIALS AND METHODS: In this cohort study, 344 consecutive patients with biopsy-proved prostate cancer underwent endorectal MR imaging prior to surgery; 216 of these patients also underwent MR spectroscopic imaging. MR images were interpreted by 10 attending radiologists. The likelihood of ECE was scored retrospectively on the basis of MR imaging reports. Clinical variables included serum prostate-specific antigen (PSA) level, Gleason score, clinical stage of tumor, greatest percentage of cancer in all core biopsy specimens, percentage of cancer-positive core specimens in all core biopsy specimens, and presence of perineural invasion. For data analysis, receiver operating characteristic (ROC) curves and univariate and multivariate logistic regression analyses were used. Jackknife analysis wasused for prediction of probability from a model that included clinical variables as tested comparatively with a model that included the clinical variables plus endorectal MR imaging findings. A difference with P <.05 was considered significant. RESULTS: At univariate analysis, all variables were associated with ECE. At ROC univariate analysis, endorectal MR imaging findings had the largest area under the ROC curve. At multivariate analysis, serum PSA level, percentage of cancer in all core biopsy specimens, and endorectal MR imaging findings (P =.001, P =.001, and P <.001, respectively) were predictors of ECE. Areas under ROC curve for two models, with and without endorectal MR imaging findings, were 0.838 and 0.772, respectively (P =.022). CONCLUSION: A model containing endorectal MR imaging findings has a significantly larger area under the ROC curve than a model containing only clinical variables; thus, endorectal MR imaging findings add incremental value in the prediction of ECE.
机译:目的:评估临床变量以预测直肠癌患者的囊外延伸(ECE),以及评估直肠内磁共振(MR)成像结果的增量值。材料与方法:在这项队列研究中,连续344例经活检证实为前列腺癌的患者在手术前接受了直肠内MR成像。这些患者中的216位也接受了MR光谱成像。 MR图像由10位主治放射科医生解释。根据MR影像报告对ECE的可能性进行了回顾性评分。临床变量包括血清前列腺特异性抗原(PSA)水平,格里森评分,肿瘤的临床分期,所有核心活检标本中癌症的最大百分比,所有核心活检标本中癌症阳性核心标本的百分比以及是否存在神经周围浸润。对于数据分析,使用了接收器工作特性(ROC)曲线以及单变量和多变量logistic回归分析。折刀分析用于从包含临床变量的模型中预测概率,该模型与包含临床变量和直肠内MR影像学发现的模型进行了比较测试。与P <.05的差异被认为是显着的。结果:在单变量分析中,所有变量均与ECE相关。在ROC单变量分析中,直肠内MR影像学发现在ROC曲线下面积最大。在多变量分析中,血清PSA水平,所有核心活检标本中的癌症百分比以及直肠内MR影像表现(分别为P = .001,P = .001和P <.001)是ECE的预测指标。具有和不具有直肠内MR影像表现的两个模型的ROC曲线下面积分别为0.838和0.772(P = .022)。结论:与仅包含临床变量的模型相比,包含直肠内MR影像学发现的模型在ROC曲线下的面积要大得多。因此,直肠内MR影像学发现增加了对ECE的预测价值。

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