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首页> 外文会议>International Congress on Image and Signal Processing, BioMedical Engineering and Informatics >Hybrid T2-weighted and diffusion-weighted magnetic resonance imaging for differentiating prostate cancer from benign prostatic hyperplasia
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Hybrid T2-weighted and diffusion-weighted magnetic resonance imaging for differentiating prostate cancer from benign prostatic hyperplasia

机译：混合T 2 加权和扩散加权磁共振成像用于区分前列腺癌与良性前列腺增生

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The objective of our study was to evaluate the role of a hybrid T2-weighted and diffusion-weighted imaging for the differentiation of benign prostatic hyperplasia (BPH) and prostate cancer (PCa). Eight patients with PCa who underwent preoperative 3-T magnetic resonance imaging (MRI) and prostatectomy were included in this study. Patients underwent a hybrid T2-weighted and diffusion-weighted imaging examination consisting of diffusion-weighted images acquired with the echo times (TEs) of 47, 75 and 100 ms and b-values of 0, 750 and 1500 s/mm2. The apparent diffusion coefficient (ADC), T2constant and signal intensity of DWI at the highest b-value were selected as features separately or combined with either linear discriminant analysis (LDA) or quadratic discriminant analysis (QDA) classifier to differentiate BPH and PCa. Receiver operating characteristic analysis and leave-one-out cross validation were used to evaluate the accuracy of the classification. The maximum area under curve (AUC) of the ADC, T2and signal intensity of DWI in classifying BPH and PCa were 0.80 ± 0.07, 0.78 ± 0.09 and 0.82 ± 0.07, respectively. The maximum AUC of the LDA or QDA classifier output in the same task was 0.93 ± 0.04 or 0.98 ± 0.02, respectively. Thus, hybrid MRI measures the response of ADC and T2to changing TEs and b-values, respectively. This approach combines ADC at different TEs and T2at different b-values and is effective in designing the classifier to differentiate BPH and PCa tissue.
机译：我们研究的目的是评估混合动力T的作用。 2 加权和弥散加权成像，用于区分良性前列腺增生（BPH）和前列腺癌（PCa）。这项研究包括八名接受术前3-T磁共振成像（MRI）和前列腺切除术的PCa患者。患者接受了混合T 2 加权和扩散加权成像检查，包括以47、75和100 ms的回波时间（TE）和b值分别为0、750和1500 s / mm的扩散加权图像 2 。视在扩散系数（ADC），T 2 分别选择bWI值最高的DWI常数和信号强度作为特征，或者与线性判别分析（LDA）或二次判别分析（QDA）分类器结合使用，以区分BPH和PCa。接收机工作特性分析和留一法交叉验证用于评估分类的准确性。 ADC的曲线下最大面积（AUC）T 2 在BPH和PCa分类中，DWI的信号强度分别为0.80±0.07、0.78±0.09和0.82±0.07。同一任务中LDA或QDA分类器输出的最大AUC分别为0.93±0.04或0.98±0.02。因此，混合MRI可以测量ADC和T的反应 2 分别更改TE和b值。这种方法将不同TE和T处的ADC结合在一起 2 在不同的b值下有效，并且在设计分类器以区分BPH和PCa组织方面非常有效。

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