Literature DB >> 8390726

Computed tomography and histologic limits in glial neoplasms: tumor types and selection for volumetric resection.

P J Kelly1.   

Abstract

Selective and accurate resection of any computed tomography (CT) or magnetic resonance imaging (MRI) defined intracranial volume is possible by employing imaging-based computer-assisted volumetric stereotactic methods. Although the target volume can be any intracranial lesion, volumetric resection techniques were most frequently applied to the most commonly referred intraaxial lesions: glial neoplasms located in eloquent brain regions. Requirements for understanding of glial neoplasms as target volumes prompted investigations of the three-dimensional spatial configuration of these lesions, their histologic margins, and the accuracy with which these margins could be detected on CT and MRI. Stereotactic serial biopsy studies have shown that glial neoplasms frequently comprise two elements: tumor tissue and isolated tumor cells which infiltrate brain parenchyma. The tumor tissue component of high grade gliomas is most accurately defined by the volume which exhibits contrast enhancement. However, tumor tissue in low grade (nonpilocytic) gliomas is usually indistinguishable from infiltrated parenchyma on CT and MRI; both are hypodense on CT and do not usually exhibit contrast enhancement. Stereotactic serial biopsy is the only reliable method by which CT hypodense tumor tissue can be differentiated from infiltrated parenchyma in low grade (nonpilocytic) astrocytomas, oligodendrogliomas, and mixed gliomas. Stereotactic volumetric resection of infiltrated parenchyma defined by CT/MRI is advisable only in nonessential brain regions. In eloquent brain areas, stereotactic resection is appropriate for the glial tumor tissue component of high grade glial neoplasms, pilocytic astrocytomas, and low grade CT hypodense gliomas in which a stereotactic serial biopsy procedure has confirmed tumor tissue only.

Entities:  

Mesh:

Year:  1993        PMID: 8390726     DOI: 10.1016/0090-3019(93)90031-u

Source DB:  PubMed          Journal:  Surg Neurol        ISSN: 0090-3019


  12 in total

Review 1.  Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

Authors:  Maria Protopapa; Anna Zygogianni; Georgios S Stamatakos; Christos Antypas; Christina Armpilia; Nikolaos K Uzunoglu; Vassilis Kouloulias
Journal:  J Neurooncol       Date:  2017-10-28       Impact factor: 4.130

Review 2.  MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.

Authors:  M Essig; N Anzalone; S E Combs; À Dörfler; S-K Lee; P Picozzi; A Rovira; M Weller; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

3.  Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics.

Authors:  Ion-Florin Talos; Kelly H Zou; Lucila Ohno-Machado; Jui G Bhagwat; Ron Kikinis; Peter M Black; Ferenc A Jolesz
Journal:  Radiology       Date:  2006-05       Impact factor: 11.105

Review 4.  From imaging to biology of glioblastoma: new clinical oncology perspectives to the problem of local recurrence.

Authors:  A Zygogianni; M Protopapa; A Kougioumtzopoulou; F Simopoulou; S Nikoloudi; V Kouloulias
Journal:  Clin Transl Oncol       Date:  2018-01-15       Impact factor: 3.405

5.  Accelerated intensity-modulated radiotherapy plus temozolomide in patients with glioblastoma: a phase I dose-escalation study (ISIDE-BT-1).

Authors:  Mariangela Massaccesi; Marica Ferro; Savino Cilla; Mario Balducci; Francesco Deodato; Gabriella Macchia; Vincenzo Valentini; Alessio G Morganti
Journal:  Int J Clin Oncol       Date:  2012-08-15       Impact factor: 3.402

6.  18F-FDOPA and 18F-FLT positron emission tomography parametric response maps predict response in recurrent malignant gliomas treated with bevacizumab.

Authors:  Robert J Harris; Timothy F Cloughesy; Whitney B Pope; Phioanh L Nghiemphu; Albert Lai; Taryar Zaw; Johannes Czernin; Michael E Phelps; Wei Chen; Benjamin M Ellingson
Journal:  Neuro Oncol       Date:  2012-06-18       Impact factor: 12.300

7.  Imaging features of invasion and preoperative and postoperative tumor burden in previously untreated glioblastoma: Correlation with survival.

Authors:  Rohan Ramakrishna; Jason Barber; Greg Kennedy; Adnan Rizvi; Robert Goodkin; Richard H Winn; George A Ojemann; Mitchel S Berger; Alexander M Spence; Robert C Rostomily
Journal:  Surg Neurol Int       Date:  2010-08-10

8.  Local Glioma Cells Are Associated with Vascular Dysregulation.

Authors:  S G Bowden; B J A Gill; Z K Englander; C I Horenstein; G Zanazzi; P D Chang; J Samanamud; A Lignelli; J N Bruce; P Canoll; J Grinband
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

9.  Prognostic factors in low grade (WHO grade II) gliomas of the cerebral hemispheres: the role of surgery.

Authors:  M Scerrati; R Roselli; M Iacoangeli; A Pompucci; G F Rossi
Journal:  J Neurol Neurosurg Psychiatry       Date:  1996-09       Impact factor: 10.154

10.  Glioblastoma Induces Vascular Dysregulation in Nonenhancing Peritumoral Regions in Humans.

Authors:  Daniel S Chow; Craig I Horenstein; Peter Canoll; Angela Lignelli; Elizabeth M C Hillman; Christopher G Filippi; Jack Grinband
Journal:  AJR Am J Roentgenol       Date:  2016-03-23       Impact factor: 3.959

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