| Advanced computer-aided intraoperative technologies for information-guided surgical management of gliomas: Tokyo Women's Medical University experience. | |
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MedLine Citation:
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PMID: 18855294 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The availability of the intraoperative MRI and real-time neuronavigation has dramatically changed the principles of surgery for gliomas. Current intraoperative computer-aided technologies permit perfect localization of the neoplasm, precise estimation of its volume, and clear definition of its interrelationships with the eloquent brain structures. This allows maximal tumor resection with minimal risk of postoperative disabilities. Under such conditions the medical treatment has become significantly dependent on the quality of the provided information and can be designated as information-guided management. Therefore, appropriate management of the wide spectrum of the intraoperative medical data and its adequate distribution between members of the surgical team for facilitation of the clinical decision-making is very important for attainment of the best possible outcome. Further progress in advanced neurovisualization, robotics, and comprehensive medical information technology has a great potential to increase the safety of the neurosurgical procedures for parenchymal brain tumors in the eloquent brain areas. |
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Authors:
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H Iseki; R Nakamura; Y Muragaki; T Suzuki; M Chernov; T Hori; K Takakura |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review Date: 2008-10-14 |
Journal Detail:
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Title: Minimally invasive neurosurgery : MIN Volume: 51 ISSN: 0946-7211 ISO Abbreviation: Minim Invasive Neurosurg Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-10-15 Completed Date: 2009-01-16 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9440973 Medline TA: Minim Invasive Neurosurg Country: Germany |
Other Details:
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Languages: eng Pagination: 285-91 Citation Subset: IM |
Affiliation:
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Faculty of Advanced Techno-Surgery, Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, Tokyo, Japan. hiseki@abmes.wmu.ac.jp |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Academic Medical Centers
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trends Brain Neoplasms / surgery* Computational Biology / methods*, trends Decision Making, Computer-Assisted Female Glioma / surgery* Humans Intraoperative Complications / prevention & control Magnetic Resonance Imaging / instrumentation, methods, trends Monitoring, Intraoperative / instrumentation, methods*, trends Neuronavigation / instrumentation, methods*, trends Neurosurgical Procedures / instrumentation, methods, trends Robotics / instrumentation, methods, trends Safety / standards Stereotaxic Techniques / instrumentation, trends Surgery, Computer-Assisted / instrumentation, methods*, trends Tokyo |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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