Scholarlink

<p>Research paradigms in hydrocephalus are undergoing a profound shift—from a singular emphasis on CSF flow disturbance to a multi-mechanistic, network-interaction model. This review systematically integrates cutting-edge advances from fundamental biology to clinical diagnosis and therapy. Mechanistically, we delineate an interconnected pathological network encompassing neuroinflammation (e.g., the TLR4/NF-κB axis), glymphatic system dysfunction, cilia–ependymal dysregulation, and genetic susceptibility. This broad perspective underscores hydrocephalus as a systemic disorder rather than a purely hydrodynamic abnormality. Technologically, we highlight innovations driven by artificial intelligence (AI) and multimodal neuroimaging—including 4D flow MRI, DTI, and radiomics. These tools enable automated ventricular segmentation, quantitative fluid-dynamic profiling, and robust predictions of surgical outcomes. Consequently, they establish the technical foundation for a "data-driven" paradigm in diagnostics and therapeutics. Therapeutically, we discuss the expanding repertoire of interventions, extending beyond conventional shunt surgery to refined microsurgical techniques, targeted pharmacotherapies, and stem cell–based strategies. Finally, we argue that future progress will depend on integrating multicentre datasets with multi-omics technologies. Establishing this coordinated “mechanism–technology–clinic” framework will accelerate hydrocephalus management toward truly personalized precision medicine.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hydrocephalus beyond cerebrospinal fluid obstruction: systems biology mechanisms and AI-enabled multimodal imaging for precision diagnosis and management

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

查看全文
  • Zhi-Jian Li,
  • Jian Gao,
  • He-Lu Wang,
  • Wei Zhu

摘要

Research paradigms in hydrocephalus are undergoing a profound shift—from a singular emphasis on CSF flow disturbance to a multi-mechanistic, network-interaction model. This review systematically integrates cutting-edge advances from fundamental biology to clinical diagnosis and therapy. Mechanistically, we delineate an interconnected pathological network encompassing neuroinflammation (e.g., the TLR4/NF-κB axis), glymphatic system dysfunction, cilia–ependymal dysregulation, and genetic susceptibility. This broad perspective underscores hydrocephalus as a systemic disorder rather than a purely hydrodynamic abnormality. Technologically, we highlight innovations driven by artificial intelligence (AI) and multimodal neuroimaging—including 4D flow MRI, DTI, and radiomics. These tools enable automated ventricular segmentation, quantitative fluid-dynamic profiling, and robust predictions of surgical outcomes. Consequently, they establish the technical foundation for a "data-driven" paradigm in diagnostics and therapeutics. Therapeutically, we discuss the expanding repertoire of interventions, extending beyond conventional shunt surgery to refined microsurgical techniques, targeted pharmacotherapies, and stem cell–based strategies. Finally, we argue that future progress will depend on integrating multicentre datasets with multi-omics technologies. Establishing this coordinated “mechanism–technology–clinic” framework will accelerate hydrocephalus management toward truly personalized precision medicine.

Graphical Abstract