Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric

Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric
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DOI:
10.1007/s00330-017-5242-9
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发表时间:
2018-06-01
期刊:
影响因子:
5.9
通讯作者:
Liden, Mats
Liden, Mats
中科院分区:
医学2区
文献类型:
--
作者:
Jendeberg, Johan;Geijer, Hakan;Liden, Mats

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为了比较不同大小估计值在3D分割中预测输尿管结石自然排出的能力,并调查人工测量变异性对结石排出的预测的影响。我们回顾了391例输尿管结石的非增强CT(NECT)检查。将三维分割大小估计值与三位放射科医生测量的平均值进行比较。采用受试者-操作特征(ROC)分析对每个估计值的自发通过进行预测。比较了上段结石和下段结石的人工预测通过概率的差异。测量的ROC曲线下面积(AUC)在0.88到0.90之间。在自动3D算法和手动测量之间,95%的一致限值为0.2+/-1.4 mm的宽度。手动骨窗测量结果显示,在44%的输尿管上段结石和6%的输尿管下段结石中,阅读器之间的预测通过概率相差20个百分点(ppt;20个百分点)。所有自动3D算法大小估计独立预测自发结石通过,其精度与三种阅读器手动直线测量的平均值相似。人工估计上段结石的大小显示出用于自发通过预测的读者之间的巨大差异。a Euro Cent是一种自动3D技术,可高精度地预测自发的结石通过。a Euro Cent线性测量、面测量和体积测量在预测结石通过方面执行类似的测量。a Euro Cent读取器的可变性对结石通过的预测预后有很大影响。
To compare the ability of different size estimates to predict spontaneous passage of ureteral stones using a 3D-segmentation and to investigate the impact of manual measurement variability on the prediction of stone passage.We retrospectively included 391 consecutive patients with ureteral stones on non-contrast-enhanced CT (NECT). Three-dimensional segmentation size estimates were compared to the mean of three radiologists' measurements. Receiver-operating characteristic (ROC) analysis was performed for the prediction of spontaneous passage for each estimate. The difference in predicted passage probability between the manual estimates in upper and lower stones was compared.The area under the ROC curve (AUC) for the measurements ranged from 0.88 to 0.90. Between the automated 3D algorithm and the manual measurements the 95% limits of agreement were 0.2 +/- 1.4 mm for the width. The manual bone window measurements resulted in a > 20 percentage point (ppt) difference between the readers in the predicted passage probability in 44% of the upper and 6% of the lower ureteral stones.All automated 3D algorithm size estimates independently predicted the spontaneous stone passage with similar high accuracy as the mean of three readers' manual linear measurements. Manual size estimation of upper stones showed large inter-reader variations for spontaneous passage prediction.aEuro cent An automated 3D technique predicts spontaneous stone passage with high accuracy.aEuro cent Linear, areal and volumetric measurements performed similarly in predicting stone passage.aEuro cent Reader variability has a large impact on the predicted prognosis for stone passage.