脑 MRI 纹理分析在法洛四联症学龄儿童中的应用。
Brain MRI Radiomics Analysis of School-Aged Children with Tetralogy of Fallot.
机构信息
Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Department of Cardiac Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
出版信息
Comput Math Methods Med. 2021 Oct 29;2021:2380346. doi: 10.1155/2021/2380346. eCollection 2021.
INTRODUCTION
Radiomics could be potential imaging biomarkers by capturing and analyzing the features. Children and adolescents with CHD have worse neurodevelopmental and functional outcomes compared with their peers. Early diagnosis and intervention are the necessity to improve neurological outcomes in CHD patients.
METHODS
School-aged TOF patients and their healthy peers were recruited for MRI and neurodevelopmental assessment. LASSO regression was used for dimension reduction. ROC curve graph showed the performance of the model.
RESULTS
Six related features were finally selected for modeling. The final model AUC was 0.750. The radiomics features can be potential significant predictors for neurodevelopmental diagnoses.
CONCLUSION
The radiomics on the conventional MRI can help predict the neurodevelopment of school-aged children and provide parents with rehabilitation advice as early as possible.
简介
放射组学可以通过捕捉和分析特征成为有潜力的影像学生物标志物。与同龄人相比，患有 CHD 的儿童和青少年的神经发育和功能结局更差。早期诊断和干预是改善 CHD 患者神经预后的必要条件。
方法
招募学龄期 TOF 患者及其健康同龄人进行 MRI 和神经发育评估。LASSO 回归用于降维。ROC 曲线图形显示了模型的性能。
结果
最终选择了 6 个相关特征进行建模。最终模型 AUC 为 0.750。放射组学特征可能是神经发育诊断的重要预测指标。
结论
常规 MRI 的放射组学可以帮助预测学龄儿童的神经发育，并尽早为家长提供康复建议。
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