Automated Identification of Brain New Lesions in Multiple Sclerosis Using Subtraction Images
Automated Identification of Brain New Lesions in Multiple Sclerosis Using Subtraction Images
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DOI：
10.1002/jmri.24293
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发表时间：
2014-06-01
影响因子：
4.4
通讯作者：
De Stefano, Nicola
中科院分区：
文献类型：
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作者：
Battaglini, Marco;Rossi, Francesca;De Stefano, Nicola
目的提出并评价一种在减影图像（SI）上自动识别多发性硬化症（MS）新发/扩大病变的新方法。序列获取图像的减法在评估MS患者新的/扩大的脑磁共振成像（MRI）病变方面显示出巨大的潜力。然而，这种方法依赖于手动定义病变，这是劳动密集型的，并且受制于操作者的可变性。材料和方法创建一个高估的候选SI病变掩膜，然后使用特定的范围、形状和强度约束过滤这些高强度体素簇。在正常和病理MRI数据集上对该方法进行了测试。结果该方法未检出健康对照的SI高强度体素。在36周内对19例患者进行配对MRI的多中心MS数据集中，手动和自动识别SI病变。该方法灵敏度高（0.91），与人工定义SI病变的结果一致（Cohen’s k=0.82, 95%可信区间[CI]: 0.77-0.87）。在第二个多中心MS数据集中，103例患者在76周内进行配对MRI，检测到的SI病变数量与钆增强病变数量自动相关（r=0.74）。结论该方法稳健、准确、灵敏，可可靠地用于二期MS临床试验。j .增效。的原因。成像2014;39:1543 - 1549。(c) 2013 Wiley Periodicals, Inc.；
PurposeTo propose and evaluate a new automated method for the identification of new/enlarging multiple sclerosis (MS) lesions on subtracted images (SI). The subtraction of serially acquired images has shown great potential in assessing new/enlarging brain magnetic resonance imaging (MRI) lesions in MS patients. However, this approach relies on the manual definition of lesions, which is labor-intensive and subject to operator-dependent variability.Materials and MethodsAn overestimated mask of candidate SI lesions was created and then these hyperintense voxel clusters were filtered using specific constraints for extent, shape, and intensity. The method was tested on normal and pathological MRI datasets.ResultsThe automated method did not detect hyperintense voxels on SI of healthy controls. SI lesions were identified manually and automatically in a multicenter MS dataset of 19 patients with paired MRI over 36 weeks. Sensitivity of the method was high (0.91) and in agreement with the results of manually defined SI lesions (Cohen's k=0.82, 95% confidence interval [CI]: 0.77-0.87). On a second multicenter MS dataset of 103 patients with paired MRI over 76 weeks, the number of SI lesions detected automatically correlated with the number of gadolinium-enhancing lesions (r=0.74).ConclusionThe proposed method is robust, accurate, and sensitive and may be used with confidence in Phase II MS trials. J. Magn. Reson. Imaging 2014;39:1543-1549. (c) 2013 Wiley Periodicals, Inc.