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Estimating age-related changes in in-vivo cerebral magnetic resonance angiography using convolutional neural network
Neurobiology of Aging ( IF 4.2 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.neurobiolaging.2019.12.008 Yoonho Nam 1 , Jinhee Jang 1 , Hea Yon Lee 2 , Yangsean Choi 1 , Na Young Shin 1 , Kang-Hyun Ryu 3 , Dong Hyun Kim 3 , So-Lyung Jung 1 , Kook-Jin Ahn 1 , Bum-Soo Kim 1
Neurobiology of Aging ( IF 4.2 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.neurobiolaging.2019.12.008 Yoonho Nam 1 , Jinhee Jang 1 , Hea Yon Lee 2 , Yangsean Choi 1 , Na Young Shin 1 , Kang-Hyun Ryu 3 , Dong Hyun Kim 3 , So-Lyung Jung 1 , Kook-Jin Ahn 1 , Bum-Soo Kim 1
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Although age-related changes of cerebral arteries were observed in in vivo magnetic resonance angiography (MRA), standard tools or methods measuring those changes were limited. In this study, we developed and evaluated a model to measure age-related changes in the cerebral arteries from 3D MRA using a 3D deep convolutional neural network. From participants without any medical abnormality, training (n = 800) and validation sets (n = 88) of 3D MRA were built. After preprocessing and data augmentation, a 3D convolutional neural network was trained to estimate each subject's chronological age from in vivo MRA data. There was good correlation between chronological age and predicted age (r = 0.83) in an independent test set (n = 354). The predicted age difference (PAD) of the test set was 2.41 ± 6.22. Interaction term between age and sex was significant for PAD (p = 0.008). After correcting for age and interaction term, men showed higher PAD (p < 0.001). Hypertension was associated with higher PAD with marginal significance (p = 0.073). We suggested that PAD might be a potential measurement of cerebral vascular aging.
中文翻译:
使用卷积神经网络估计体内脑磁共振血管造影的年龄相关变化
尽管在体内磁共振血管造影 (MRA) 中观察到脑动脉的年龄相关变化,但测量这些变化的标准工具或方法是有限的。在本研究中,我们开发并评估了一个模型,该模型使用 3D 深度卷积神经网络从 3D MRA 测量脑动脉中与年龄相关的变化。从没有任何医学异常的参与者中,构建了 3D MRA 的训练 (n = 800) 和验证集 (n = 88)。在预处理和数据增强之后,训练 3D 卷积神经网络以从体内 MRA 数据估计每个受试者的实际年龄。在独立测试集 (n = 354) 中,实足年龄与预测年龄 (r = 0.83) 之间存在良好的相关性。测试集的预测年龄差异 (PAD) 为 2.41 ± 6.22。年龄和性别之间的交互项对于 PAD 很重要(p = 0.008)。在校正年龄和交互项后,男性表现出更高的 PAD (p < 0.001)。高血压与较高的 PAD 相关,具有边际意义(p = 0.073)。我们认为 PAD 可能是脑血管老化的潜在测量指标。
更新日期:2020-03-01
中文翻译:
使用卷积神经网络估计体内脑磁共振血管造影的年龄相关变化
尽管在体内磁共振血管造影 (MRA) 中观察到脑动脉的年龄相关变化,但测量这些变化的标准工具或方法是有限的。在本研究中,我们开发并评估了一个模型,该模型使用 3D 深度卷积神经网络从 3D MRA 测量脑动脉中与年龄相关的变化。从没有任何医学异常的参与者中,构建了 3D MRA 的训练 (n = 800) 和验证集 (n = 88)。在预处理和数据增强之后,训练 3D 卷积神经网络以从体内 MRA 数据估计每个受试者的实际年龄。在独立测试集 (n = 354) 中,实足年龄与预测年龄 (r = 0.83) 之间存在良好的相关性。测试集的预测年龄差异 (PAD) 为 2.41 ± 6.22。年龄和性别之间的交互项对于 PAD 很重要(p = 0.008)。在校正年龄和交互项后,男性表现出更高的 PAD (p < 0.001)。高血压与较高的 PAD 相关,具有边际意义(p = 0.073)。我们认为 PAD 可能是脑血管老化的潜在测量指标。