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Evaluation of Diffusion Weighted Imaging in the Context of Multi-Parametric MRI of the Prostate in the assessment of suspected low volume prostatic carcinoma

机译:基于maTLaB的扩散加权成像评价   前列腺多参数mRI在疑似低评估中的应用   容量前列腺癌

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摘要

Data from a multi-parametric MRI study of patients with possible early-stageprostate cancer was assessed with a view to creating an efficient clinicalprotocol. Based on a correlation analysis suggesting that diffusion-weightedimaging (DWI) scores are more strongly correlated with overall PIRADS scoresthan other modalities such as dynamic contrast enhanced imaging orspectroscopy, we investigate the combination of T2-weighted imaging (T2w) andDWI as a potential diagnostic tool for prostate cancer detection, staging andguided biopsies. Quantification of the noise floor in the DWI images andcareful fitting of the data suggests that the mono-exponential model provides avery good fit to the data and there is no evidence of non-Gaussian diffusionfor $b$-values up to 1000 s/mm$^2$. This precludes the use of kurtosis or othernon-Gaussian measures as a biomarker for prostate cancer in our case. However,the ADC scores for healthy and probably malignant regions are significantlylower for the latter in all 20 but one patient. The results suggest that asimplified mp-MRI protocol combining T2w and DWI may be a good compromise for acost and time efficient, early-stage prostate cancer diagnostic programme,combining robust MR biomarkers for prostate cancer that can be reliablyquantified and appear well-suited for general clinical practice.
机译:为了建立有效的临床方案,对多参数MRI研究中可能患有早期前列腺癌的患者的数据进行了评估。根据相关分析表明,弥散加权成像(DWI)评分与PIRADS总体评分比其他方式(如动态对比增强成像或光谱学)更紧密相关,我们研究了T2加权成像(T2w)和DWI的组合作为潜在的诊断工具用于前列腺癌的检测,分期和引导活检。 DWI图像中本底噪声的量化和数据的仔细拟合表明,单指数模型可以很好地拟合数据,并且对于$ b $的值(高达1000 s / mm $),没有证据表明存在非高斯扩散。 ^ 2 $。在本例中,这排除了使用峰度或其他非高斯方法作为前列腺癌的生物标记。但是,健康区域和可能恶性区域的ADC得分在所有20个患者中均较低,只有一个患者。结果表明,结合了T2w和DWI的简化mp-MRI方案可能是成本和时间效率高的早期前列腺癌诊断程序的良好折衷方案,结合了可靠的量化的前列腺癌强大的MR生物标志物,似乎非常适合一般临床实践。

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