Novel Approach to Estimate Kidney and Cyst Volumes Using Mid-Slice Magnetic Resonance Images in Polycystic Kidney Disease
Novel Approach to Estimate Kidney and Cyst Volumes Using Mid-Slice Magnetic Resonance Images in Polycystic Kidney Disease
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DOI：
10.1159/000355375
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发表时间：
2013-01-01
影响因子：
4.2
通讯作者：
Landsittel, Doug P.
中科院分区：
文献类型：
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作者：
Bae, Kyongtae T.;Tao, Cheng;Landsittel, Doug P.
目的：评价是否可以根据常染色体显性遗传性多囊肾病（ADPKD）患者磁共振（MR）图像的有限面积测量值准确估计肾脏和囊肿体积。材料和方法：对178例ADPKD患者的MR冠状位图像进行分析。对于每个MR图像切片，我们分别使用体视学和基于区域的阈值方法测量肾脏和肾囊肿面积。通过将覆盖肾脏的所有切片的面积测量值相加来计算肾脏和囊肿的“观察”体积。为了估计体积，我们在每个肾脏中选择了一个冠状中间切片，并将其面积乘以切片总数（“PANK 2”表示肾脏，“PANC 2”表示囊肿）。然后，我们使用线性回归分析，分别将PANK 2和PANC 2预测的肾脏和囊肿体积与相应的观察体积进行比较。结果如下：根据PANK 2预测的肾脏体积与观察到的肾脏体积非常相关（右肾R-2 = 0.994，左肾R-2 = 0.991）。最佳拟合肾脏体积的PANK 2的线性回归系数乘数为0.637（95% CI：0.629-0.644）（右肾）和0.624（95% CI：0.616-0.633）（左肾）。根据PANC 2预测的囊肿体积与观察到的囊肿体积之间的相关性也非常高（右肾的R-2 = 0.984，左肾的R-2 = 0.967）。PANC 2的最小二乘线性回归系数，右肾为0.637（95% CI：0.624-0.649），左肾为0.608（95% CI：0.591-0.625）。结论：通过将中间切片面积测量值与ADPKD肾脏冠状面MR图像中的总切片数的乘积乘以0.61-0.64，可以近似估算肾脏和囊肿体积。该信息将有助于节省估计ADPKD肾脏的总肾脏和囊肿体积所需的处理时间。(C)2013 S. Karger AG，巴塞尔
Objective: To evaluate whether kidney and cyst volumes can be accurately estimated based on limited area measurements from magnetic resonance (MR) images of patients with autosomal dominant polycystic kidney disease (ADPKD). Materials and Methods: MR coronal images of 178 ADPKD participants from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP) were analyzed. For each MR image slice, we measured kidney and renal cyst areas using stereology and region-based thresholding methods, respectively. The kidney and cyst 'observed' volumes were calculated by summing up the area measurements of all the slices covering the kidney. To estimate the volume, we selected a coronal mid-slice in each kidney and multiplied its area by the total number of slices ('PANK2' for kidney and 'PANC2' for cyst). We then compared the kidney and cyst volumes predicted from PANK2 and PANC2, respectively, to the corresponding observed volumes, using a linear regression analysis. Results: The kidney volume predicted from PANK2 correlated extremely well with the observed kidney volume (R-2 = 0.994 for the right kidney and 0.991 for the left kidney). The linear regression coefficient multiplier to PANK2 that best fit the kidney volume was 0.637 (95% CI: 0.629-0.644) for the right kidney and 0.624 (95% CI: 0.616-0.633) for the left kidney. The correlation between the cyst volume predicted from PANC2 and the observed cyst volume was also very high (R-2 = 0.984 for the right kidney and 0.967 for the left kidney). The least squares linear regression coefficient for PANC2 was 0.637 (95% CI: 0.624-0.649) for the right kidney and 0.608 (95% CI: 0.591-0.625) for the left kidney. Conclusion: Kidney and cyst volumes can be closely approximated by multiplying the product of the mid-slice area measurement and the total number of slices in the coronal MR images of ADPKD kidneys by 0.61-0.64. This information will help save processing time needed to estimate total kidney and cyst volumes of ADPKD kidneys. (C) 2013 S. Karger AG, Basel