Department of Radiology, University of Cincinnati Medical Center, 234 Goodman Drive, Cincinnati, OH, 45229, USA.
Research & Development Division, 13366 Grass Valley Avenue Suite A, Grass Valley, CA, 95945, USA.
Abdom Radiol (NY). 2016 May;41(5):934-45. doi: 10.1007/s00261-015-0619-1.
The purpose of this study was to compare high b-value (b = 2000 s/mm(2)) acquired diffusion-weighted imaging (aDWI) with computed DWI (cDWI) obtained using four diffusion models-mono-exponential (ME), intra-voxel incoherent motion (IVIM), stretched exponential (SE), and diffusional kurtosis (DK)-with respect to lesion visibility, conspicuity, contrast, and ability to predict significant prostate cancer (PCa).
Ninety four patients underwent 3 T MRI including acquisition of b = 2000 s/mm(2) aDWI and low b-value DWI. High b = 2000 s/mm(2) cDWI was obtained using ME, IVIM, SE, and DK models. All images were scored on quality independently by three radiologists. Lesions were identified on all images and graded for lesion conspicuity. For a subset of lesions for which pathological truth was established, lesion-to-background contrast ratios (LBCRs) were computed and binomial generalized linear mixed model analysis was conducted to compare clinically significant PCa predictive capabilities of all DWI.
For all readers and all models, cDWI demonstrated higher ratings for image quality and lesion conspicuity than aDWI except DK (p < 0.001). The LBCRs of ME, IVIM, and SE were significantly higher than LBCR of aDWI (p < 0.001). Receiver Operating Characteristic curves obtained from binomial generalized linear mixed model analysis demonstrated higher Area Under the Curves for ME, SE, IVIM, and aDWI compared to DK or PSAD alone in predicting significant PCa.
High b-value cDWI using ME, IVIM, and SE diffusion models provide better image quality, lesion conspicuity, and increased LBCR than high b-value aDWI. Using cDWI can potentially provide comparable sensitivity and specificity for detecting significant PCa as high b-value aDWI without increased scan times and image degradation artifacts.
本研究旨在比较高 b 值(b=2000s/mm²)获取的扩散加权成像(aDWI)与使用四种扩散模型(单指数模型[ME]、体素内不相干运动[IVIM]、拉伸指数模型[SE]和扩散峰度[DK])获得的计算扩散加权成像(cDWI),评估它们在病灶可视性、显著性、对比度和预测显著前列腺癌(PCa)的能力方面的差异。
94 例患者接受 3T MRI 检查,包括采集 b=2000s/mm²的 aDWI 和低 b 值 DWI。高 b 值(b=2000s/mm²)的 cDWI 通过 ME、IVIM、SE 和 DK 模型获得。三位放射科医生分别对所有图像的质量进行评分。所有图像上均识别出病灶,并对病灶显著性进行分级。对于部分有病理证实的病灶,计算了病灶与背景的对比比值(LBCR),并通过二项广义线性混合模型分析比较了所有 DWI 预测有临床意义的 PCa 的能力。
对于所有读者和所有模型,除 DK 模型外,cDWI 在图像质量和病灶显著性方面的评分均高于 aDWI(p<0.001)。ME、IVIM 和 SE 的 LBCR 明显高于 aDWI 的 LBCR(p<0.001)。二项广义线性混合模型分析获得的受试者工作特征曲线表明,在预测有临床意义的 PCa 方面,ME、SE、IVIM 和 aDWI 的曲线下面积均高于 DK 或 PSAD 单独使用。
与高 b 值 aDWI 相比,使用 ME、IVIM 和 SE 扩散模型的高 b 值 cDWI 提供了更好的图像质量、病灶显著性和更高的 LBCR。与增加扫描时间和图像退化伪影相关的高 b 值 aDWI 相比,使用 cDWI 可以为检测有临床意义的 PCa 提供类似的灵敏度和特异性。