Literature DB >> 10493363

Craniotomy for tumor treatment in an intraoperative magnetic resonance imaging unit.

P M Black1, E Alexander, C Martin, T Moriarty, A Nabavi, T Z Wong, R B Schwartz, F Jolesz.   

Abstract

OBJECTIVE: The complex three-dimensional anatomic features of the brain and its vulnerability to surgical intervention make the surgical treatment of intracranial tumors challenging. We evaluated the surgical treatment of supratentorial tumors using intraoperative magnetic resonance imaging (MRI), which provides real-time guidance, allows localization of intracranial tumors and their margins, and facilitates continuous assessment of surgical progress.
METHODS: Sixty patients underwent craniotomies for tumor treatment in the General Electric intraoperative MRI unit at the Brigham and Women's Hospital (Boston, MA) during a 1-year period. The patients selected were those with intracranial tumors that were considered difficult to resect because of their locations or previous incomplete operations. Twenty-nine low-grade and 19 high-grade gliomas, 8 metastatic lesions, 2 meningiomas, 1 pineoblastoma, and 1 astroblastoma were resected.
RESULTS: Tumors were accurately localized and targeted, and the extent of resection, as well as any intraoperative complications, could be immediately assessed during surgery. Marked brain shifting occurred during the procedures, and repeated intraoperative imaging allowed surgical accommodation for this shifting. In more than one-third of the cases, intraoperative imaging showed residual tumor when resection appeared complete on the basis of surgical observation alone.
CONCLUSION: Intraoperative MRI is a revolutionary tool for the surgical treatment of brain tumors, providing observation of the procedure as it is being performed. With intraoperative MRI, tumor resection is safer, the extent of resection can be directly evaluated, and intraoperative complications can be noted if they occur. Outcomes after resection depend on minimizing injury to normal brain tissue and achieving maximal tumor resection. The use of intraoperative MRI directly affects these factors.

Entities:  

Mesh:

Year:  1999        PMID: 10493363     DOI: 10.1097/00006123-199909000-00001

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  36 in total

1.  [Intraoperative magnetic resonance imaging. Fifteen years' experience in the neurosurgical hybrid operating suite].

Authors:  M Hlavac; R König; M Halatsch; C R Wirtz
Journal:  Unfallchirurg       Date:  2012-02       Impact factor: 1.000

2.  Use of a compact intraoperative low-field magnetic imager in pediatric neurosurgery.

Authors:  Amer F Samdani; Michael Schulder; Jeffrey E Catrambone; Peter W Carmel
Journal:  Childs Nerv Syst       Date:  2004-11-25       Impact factor: 1.475

3.  Classical and real-time neuronavigation in pediatric neurosurgery.

Authors:  Jonathan Roth; Liana Beni-Adani; Naresh Biyani; Shlomi Constantini
Journal:  Childs Nerv Syst       Date:  2006-06-08       Impact factor: 1.475

4.  Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery.

Authors:  Neculai Archip; Olivier Clatz; Stephen Whalen; Dan Kacher; Andriy Fedorov; Andriy Kot; Nikos Chrisochoides; Ferenc Jolesz; Alexandra Golby; Peter M Black; Simon K Warfield
Journal:  Neuroimage       Date:  2006-12-23       Impact factor: 6.556

5.  Mass spectrometry imaging as a tool for surgical decision-making.

Authors:  David Calligaris; Isaiah Norton; Daniel R Feldman; Jennifer L Ide; Ian F Dunn; Livia S Eberlin; R Graham Cooks; Ferenc A Jolesz; Alexandra J Golby; Sandro Santagata; Nathalie Y Agar
Journal:  J Mass Spectrom       Date:  2013-11       Impact factor: 1.982

6.  Intraoperative MRI to guide the resection of primary supratentorial glioblastoma multiforme--a quantitative radiological analysis.

Authors:  Jens P Schneider; Christos Trantakis; Matthias Rubach; Thomas Schulz; Juergen Dietrich; Dirk Winkler; Christof Renner; Ralf Schober; Kathrin Geiger; Oana Brosteanu; Claus Zimmer; Thomas Kahn
Journal:  Neuroradiology       Date:  2005-06-11       Impact factor: 2.804

7.  Classifying human brain tumors by lipid imaging with mass spectrometry.

Authors:  Livia S Eberlin; Isaiah Norton; Allison L Dill; Alexandra J Golby; Keith L Ligon; Sandro Santagata; R Graham Cooks; Nathalie Y R Agar
Journal:  Cancer Res       Date:  2011-12-02       Impact factor: 12.701

Review 8.  Neuronavigation and surgery of intracerebral tumours.

Authors:  P W A Willems; J W Berkelbach van der Sprenkel; C A F Tulleken; M A Viergever; M J B Taphoorn
Journal:  J Neurol       Date:  2006-09-20       Impact factor: 4.849

Review 9.  Maximizing safe resection of low- and high-grade glioma.

Authors:  Shawn L Hervey-Jumper; Mitchel S Berger
Journal:  J Neurooncol       Date:  2016-05-12       Impact factor: 4.130

10.  3T intraoperative MRI for management of pediatric CNS neoplasms.

Authors:  A F Choudhri; P Klimo; T S Auschwitz; M T Whitehead; F A Boop
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-24       Impact factor: 3.825

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