张腾

45

  • 讲师(高校) 硕士生导师
  • 性别:男
  • 所在单位:人工智能学院(未来技术学院、人工智能产业学院)
  • 办公地点:临江楼A1909
  • 联系方式:zhangteng@nuist.edu.cn

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High-resolution pediatric age–specific 18F-FDG PET template: a pilot study in epileptogenic focus localization

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影响因子:9.24

DOI码:10.1007/s00259-021-05611-w

发表刊物:European Journal of Nuclear Medicine and Molecular Imaging

关键字:Epilepsy; Positron emission tomography (PET); Template; Pediatric age–specifc

摘要:Background: PET imaging has been widely used in diagnosis of neurological disorders; however, its application to pediatric population is limited due to lacking pediatric age–specific PET template. This study aims to develop a pediatric age–specific PET template (PAPT) and conduct a pilot study of epileptogenic focus localization in pediatric epilepsy.
Methods: We recruited 130 pediatric patients with epilepsy and 102 age-matched controls who underwent 18F-FDG PET examination. High-resolution PAPT was developed by an iterative nonlinear registration-averaging optimization approach for two age ranges: 6–10 years (n = 17) and 11–18 years (n = 50), respectively. Spatial normalization to the PAPT was evaluated by registration similarities of 35 validation controls, followed by estimation of potential registration biases. In a pilot study, epileptogenic focus was localized by PAPT-based voxel-wise statistical analysis, compared with multi-disciplinary team (MDT) diagnosis, and validated by follow-up of patients who underwent epilepsy surgery. Furthermore, epileptogenic focus localization results were compared among three templates (PAPT, conventional adult template, and a previously reported pediatric linear template).
Results: Spatial normalization to the PAPT significantly improved registration similarities (P < 0.001), and nearly eliminated regions of potential biases (< 2% of whole brain volume). The PAPT-based epileptogenic focus localization achieved a substantial agreement with MDT diagnosis (Kappa = 0.757), significantly outperforming localization based on the adult template (Kappa = 0.496) and linear template (Kappa = 0.569) (P < 0.05). The PAPT-based localization achieved the highest detection rate (89.2%) and accuracy (80.0%). In postsurgical seizure-free patients (n = 40), the PAPT-based localization also achieved a substantial agreement with resection areas (Kappa = 0.743), and the highest detection rate (95%) and accuracy (80.0%).
Conclusion: The PAPT can significantly improve spatial normalization and epileptogenic focus localization in pediatric epilepsy. Future pediatric neuroimaging studies can also benefit from the unbiased spatial normalization by PAPT.

论文类型:期刊论文

学科门类:医学

文献类型:J

卷号:49

页面范围:1560-1573

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发表时间:2021-11-08

收录刊物:SCI

发布刊物链接:https://link.springer.com/article/10.1007%2Fs00259-021-05611-w