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Convection-enhanced delivery for the treatment of glioblastoma

Open access
Vogelbaum, M. A., Aghi, M. K.·2015·Neuro-Oncology

Abstract

Effective treatment of glioblastoma (GBM) remains a formidable challenge. Survival rates remain poor despite decades of clinical trials of conventional and novel, biologically targeted therapeutics. There is considerable evidence that most of these therapeutics do not reach their targets in the brain when administered via conventional routes (intravenous or oral). Hence, direct delivery of therapeutics to the brain and to brain tumors is an active area of investigation. One of these techniques, convection-enhanced delivery (CED), involves the implantation of catheters through which conventional and novel therapeutic formulations can be delivered using continuous, low-positive-pressure bulk flow. Investigation in preclinical and clinical settings has demonstrated that CED can produce effective delivery of therapeutics to substantial volumes of brain and brain tumor. However, limitations in catheter technology and imaging of delivery have prevented this technique from being reliable and reproducible, and the only completed phase III study in GBM did not show a survival benefit for patients treated with an investigational therapeutic delivered via CED. Further development of CED is ongoing, with novel catheter designs and imaging approaches that may allow CED to become a more effective therapeutic delivery technique.

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Metadata

Authors
Vogelbaum, M. A., & Aghi, M. K.
Venue
Neuro-Oncology
Published
2015-03-01
Volume
17
Issue
suppl 2
Pages
ii3-ii8
ISSN
  • 1522-8517 (ISSN-L)
  • 1523-5866
OpenAlex
W2128234521
Cited by
167
References
0
FWCI
8.64
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Convection-enhanced delivery for the treatment of glioblastoma. https://app.cochat.ai/papers/10.1093/neuonc/nou354
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Vogelbaum, M. A., & Aghi, M. K. (2015). Convection-enhanced delivery for the treatment of glioblastoma. Neuro-Oncology. https://doi.org/10.1093/neuonc/nou354

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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