Literature DB >> 12296660

Continuous somatosensory evoked potential monitoring during brain tumor resection. Report of four cases and review of the literature.

Gerald A Grant1, Donald Farrell, Daniel L Silbergeld.   

Abstract

The neurosurgical management of intrinsic brain tumors and brain metastases mandates maximum resection with preservation of functional cortex. There have been previous reports on the use of cortical somatosensory evoked potentials (SSEPs) for localization of functional cortex prior to resection. The identification of rolandic cortex with the use of intraoperative SSEP monitoring enables the neurosurgeon to tailor the surgery to achieve a greater extent of resection while minimizing the risk of morbidity. The use of continuous SSEP monitoring during resection to provide an ongoing functional assessment of somatosensory cortex has not been reported. This powerful technique is illustrated using four case examples.

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Year:  2002        PMID: 12296660     DOI: 10.3171/jns.2002.97.3.0709

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  5 in total

Review 1.  Surgery of brain metastases--is there still a place for it?

Authors:  Ashok Modha; Scott R Shepard; Philip H Gutin
Journal:  J Neurooncol       Date:  2005-10       Impact factor: 4.130

2.  The sub-pial resection technique for intrinsic tumor surgery.

Authors:  Adam O Hebb; Tong Yang; Daniel L Silbergeld
Journal:  Surg Neurol Int       Date:  2011-12-13

Review 3.  Intraoperative functional mapping and monitoring during glioma surgery.

Authors:  Taiichi Saito; Yoshihiro Muragaki; Takashi Maruyama; Manabu Tamura; Masayuki Nitta; Yoshikazu Okada
Journal:  Neurol Med Chir (Tokyo)       Date:  2014-12-20       Impact factor: 1.742

Review 4.  Strategy of Surgical Resection for Glioma Based on Intraoperative Functional Mapping and Monitoring.

Authors:  Manabu Tamura; Yoshihiro Muragaki; Taiichi Saito; Takashi Maruyama; Masayuki Nitta; Shunsuke Tsuzuki; Hiroshi Iseki; Yoshikazu Okada
Journal:  Neurol Med Chir (Tokyo)       Date:  2015       Impact factor: 1.742

5.  Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials.

Authors:  Priscella Asman; Sujit Prabhu; Dhiego Bastos; Sudhakar Tummala; Shreyas Bhavsar; Thomas Michael McHugh; Nuri Firat Ince
Journal:  J Neural Eng       Date:  2021-04-29       Impact factor: 5.379

  5 in total

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