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A presurgical voxel-wise predictive model for cerebellar mutism syndrome in children with posterior fossa tumors.
Yang, Wei; Li, Yiming; Ying, Zesheng; Cai, Yingjie; Peng, Xiaojiao; Sun, HaiLang; Chen, Jiashu; Zhu, Kaiyi; Hu, Geli; Peng, Yun; Ge, Ming.
Afiliação
  • Yang W; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Li Y; Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
  • Ying Z; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Cai Y; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Peng X; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Sun H; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Chen J; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
  • Zhu K; Department of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan 030032, China; Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 030032, China.
  • Hu G; Department of Clinical and Technical Support, Philips Healthcare, Beijing 100600, China.
  • Peng Y; Department of Image Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China. Electronic address: ppengyun@hotmail.com.
  • Ge M; Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China. Electronic address: ming_ge@126.com.
Neuroimage Clin ; 37: 103291, 2023.
Article em En | MEDLINE | ID: mdl-36527996
BACKGROUND: This study aimed to investigate cerebellar mutism syndrome (CMS)-related voxels and build a voxel-wise predictive model for CMS. METHODS: From July 2013 to January 2022, 188 pediatric patients diagnosed with posterior fossa tumor were included in this study, including 38 from a prospective cohort recruited between 2020 and January 2022, and the remaining from a retrospective cohort recruited in July 2013-Aug 2020. The retrospective cohort was divided into the training and validation sets; the prospective cohort served as a prospective validation set. Voxel-based lesion symptoms were assessed to identify voxels related to CMS, and a predictive model was constructed and tested in the validation and prospective validation sets. RESULTS: No significant differences were detected among these three data sets in CMS rate, gender, age, tumor size, tumor consistency, presence of hydrocephalus and paraventricular edema. Voxels related to CMS were mainly located in bilateral superior and inferior cerebellar peduncles and the superior part of the cerebellum. The areas under the curves for the model in the training, validation and prospective validation sets were 0.889, 0.784 and 0.791, respectively. CONCLUSIONS: Superior and inferior cerebellar peduncles and the superior part of the cerebellum were related to CMS, especially the right side, and voxel-based lesion-symptom analysis could provide valuable predictive information before surgery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Neoplasias Infratentoriais / Doenças Cerebelares / Neoplasias Cerebelares / Mutismo Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Neoplasias Infratentoriais / Doenças Cerebelares / Neoplasias Cerebelares / Mutismo Idioma: En Ano de publicação: 2023 Tipo de documento: Article