Literature DB >> 20730457

Preoperative and intraoperative brain mapping for the resection of eloquent-area tumors. A prospective analysis of methodology, correlation, and usefulness based on clinical outcomes.

Giannantonio Spena1, Antonella Nava, Fabrizio Cassini, Antonio Pepoli, Marcella Bruno, Federico D'Agata, Franco Cauda, Katiuscia Sacco, Sergio Duca, Laura Barletta, Pietro Versari.   

Abstract

BACKGROUND: Localization of brain function is a fundamental requisite for the resection of eloquent-area brain tumors. Preoperative functional neuroimaging and diffusion tensor imaging can display cortical functional organization and subcortical anatomy of major white matter bundles. Direct cortical and subcortical stimulation is widely used in routine practice, however, because of its ability to reveal tissue function in eloquent regions. The role and integration of these techniques is still a matter of debate. The objective of this study was to assess surgical and functional neurological outputs of awake surgery and intraoperative cortical and subcortical electrical stimulation (CSES) and to use CSES to examine the reliability of preoperative functional magnetic resonance (fMRI) and diffusion tensor imaging fiber tracking (DTI-FT) for surgical planning. PATIENTS AND METHODS: We prospectively studied 27 patients with eloquent-area tumors who were selected to undergo awake surgery and direct brain mapping. All subjects underwent preoperative sensorimotor and language fMRI and DTI tractography of major white matter bundles. Intra- and postoperative complications, stimulation effects, extent of resection, and neurological outcome were determined. We topographically correlated intraoperatively identified sites (cortical and subcortical) with areas of fMRI activation and DTI tractography.
RESULTS: Total plus subtotal resection reached 88.8%. Twenty-one patients (77.7%) suffered transient postoperative worsening, but at 6 months follow-up only three (11.1%) patients had persistent neurological impairment. Sensorimotor cortex direct mapping correlated 92.3% with fMRI activation, while direct mapping of language cortex correlated 42.8%. DTI fiber tracking underestimated the presence of functional fibers surrounding or inside the tumor.
CONCLUSION: Preoperative brain mapping is useful when planning awake surgery to estimate the relationship between the tumor and functional brain regions. However, these techniques cannot directly lead the surgeon during resection. Intraoperative brain mapping is necessary for safe and maximal resection and to guarantee a satisfying neurological outcome. This multimodal approach is more aggressive, leads to better outcomes, and should be used routinely for resection of lesions in eloquent brain regions.

Entities:  

Mesh:

Year:  2010        PMID: 20730457     DOI: 10.1007/s00701-010-0764-9

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  34 in total

1.  Evaluating Spelling in Glioma Patients Undergoing Awake Surgery: a Systematic Review.

Authors:  Fleur van Ierschot; Roelien Bastiaanse; Gabriele Miceli
Journal:  Neuropsychol Rev       Date:  2018-12-21       Impact factor: 7.444

2.  Risk factors for intraoperative stimulation-related seizures during awake surgery: an analysis of 109 consecutive patients.

Authors:  Giannantonio Spena; Elena Roca; Francesco Guerrini; Pier Paolo Panciani; Lorenzo Stanzani; Andrea Salmaggi; Sabino Luzzi; Marco Fontanella
Journal:  J Neurooncol       Date:  2019-09-24       Impact factor: 4.130

3.  How many patients require brain mapping in an adult neuro-oncology service?

Authors:  Anastasios Giamouriadis; Jose Pedro Lavrador; Ranjeev Bhangoo; Keyoumars Ashkan; Francesco Vergani
Journal:  Neurosurg Rev       Date:  2019-05-19       Impact factor: 3.042

4.  Functional MRI and direct cortical stimulation: Prediction of postoperative language decline.

Authors:  Rachel Rolinski; Alison Austermuehle; Edythe Wiggs; Shubhi Agrawal; Leigh N Sepeta; William D Gaillard; Kareem A Zaghloul; Sara K Inati; William H Theodore
Journal:  Epilepsia       Date:  2019-02-11       Impact factor: 5.864

5.  Deformable anatomic templates embed knowledge into brain images: part 2. Validation using functional magnetic resonance imaging of the motor hand.

Authors:  Jackson D Hamilton; Vinodh A Kumar; L Anne Hayman; Sujit S Prabhu; Ping Hou; Edward F Jackson; Megan Groneman; John Pagani; Mark Vabulas; Ashok J Kumar
Journal:  J Comput Assist Tomogr       Date:  2012 Mar-Apr       Impact factor: 1.826

Review 6.  A systematic review of functional magnetic resonance imaging and diffusion tensor imaging modalities used in presurgical planning of brain tumour resection.

Authors:  S Dimou; R A Battisti; D F Hermens; J Lagopoulos
Journal:  Neurosurg Rev       Date:  2012-11-29       Impact factor: 3.042

7.  Accuracy analysis of fMRI and MEG activations determined by intraoperative mapping.

Authors:  David G Ellis; Matthew L White; Satoru Hayasaka; David E Warren; Tony W Wilson; Michele R Aizenberg
Journal:  Neurosurg Focus       Date:  2020-02-01       Impact factor: 4.047

8.  The Relationship Between Stimulation Current and Functional Site Localization During Brain Mapping.

Authors:  Rachel H Muster; Jacob S Young; Peter Y M Woo; Ramin A Morshed; Gayathri Warrier; Sofia Kakaizada; Annette M Molinaro; Mitchel S Berger; Shawn L Hervey-Jumper
Journal:  Neurosurgery       Date:  2021-05-13       Impact factor: 4.654

9.  Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives.

Authors:  Anthony L Ritaccio; Peter Brunner; Gerwin Schalk
Journal:  J Clin Neurophysiol       Date:  2018-03       Impact factor: 2.177

10.  Brainstem cavernoma surgery with the support of pre- and postoperative diffusion tensor imaging: initial experiences and clinical course of 23 patients.

Authors:  Nils H Ulrich; Ralf A Kockro; David Bellut; Christina Amaxopoulou; Oliver Bozinov; Jan-Karl Burkhardt; Johannes Sarnthein; Spyros S Kollias; Helmut Bertalanffy
Journal:  Neurosurg Rev       Date:  2014-05-07       Impact factor: 3.042

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