Literature DB >> 19094454

The relationship between intra-operative ultrasonography and pathological grade in cerebral glioma.

J Wang1, X Liu, W H Hou, G Dong, Z Wei, H Zhou, Y Y Duan.   

Abstract

The value of intra-operative ultrasound as a tool in guiding resection of cerebral gliomas and the relationship between the appearance of brain tissue on intra-operative ultrasonography and pathological grade of cerebral glioma were investigated in 98 patients who underwent neurosurgical tumour removal. Lesions were classified according to pathological grade. Intra-operative ultrasonography orientated all the cerebral gliomas accurately and helped the neurosurgeon in assessing the tumour prior to removal. All lesions were hyperechoic compared with normal brain tissue, and the majority of lesions displayed irregular shapes and indistinct margins. Different pathological grades of glioma presented different ultrasonographic appearances. The majority of low-grade (I and II) cerebral gliomas were homogeneous, with distinct margins and clear surrounding oedema compared with adjacent brain tissue. High-grade (III and IV) cerebral gliomas mostly exhibited poorly defined borders and central necrosis, and the surrounding oedema was difficult to distinguish from the lesions. Residual tumour or haematoma were identified. In conclusion, intra-operative ultrasonography is of great value in locating and assessing the grade of cerebral glioma, and is conducive to enabling early evaluation and total removal of the lesion.

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Year:  2008        PMID: 19094454     DOI: 10.1177/147323000803600632

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  8 in total

1.  Ultrasound-guided brain surgery: echographic visibility of different pathologies and surgical applications in neurosurgical routine.

Authors:  Domenico Policicchio; Artan Doda; Enrico Sgaramella; Stefano Ticca; Filippo Veneziani Santonio; Riccardo Boccaletti
Journal:  Acta Neurochir (Wien)       Date:  2018-04-19       Impact factor: 2.216

2.  Relationship of intraoperative ultrasound characteristics with pathological grades and Ki-67 proliferation index in intracranial gliomas.

Authors:  Ozdil Baskan; Gokalp Silav; Ramazan Sari; Ozlem Canoz; Ilhan Elmaci
Journal:  J Med Ultrason (2001)       Date:  2014-11-22       Impact factor: 1.314

Review 3.  Applications of Ultrasound in the Resection of Brain Tumors.

Authors:  Rahul Sastry; Wenya Linda Bi; Steve Pieper; Sarah Frisken; Tina Kapur; William Wells; Alexandra J Golby
Journal:  J Neuroimaging       Date:  2016-08-19       Impact factor: 2.486

4.  Application of intraoperative ultrasonography for guiding microneurosurgical resection of small subcortical lesions.

Authors:  Jia Wang; Yun You Duan; Xi Liu; Yu Wang; Guo Dong Gao; Huai Zhou Qin; Liang Wang
Journal:  Korean J Radiol       Date:  2011-08-24       Impact factor: 3.500

Review 5.  Intraoperative neurosonography revisited: effective neuronavigation in pediatric neurosurgery.

Authors:  Jung-Eun Cheon
Journal:  Ultrasonography       Date:  2015-01-16

6.  Diagnostic significance of intraoperative ultrasound contrast in evaluating the resection degree of brain glioma by transmission electron microscopic examination.

Authors:  Shu-Qing Yu; Ji-Sheng Wang; Si-Yuan Chen; Xiang-Ming Liu; Yan Li; Yi-Ming Ding; Xiao-Ya Li; Yi-Lin Sun; Hui Chen
Journal:  Chin Med J (Engl)       Date:  2015-01-20       Impact factor: 2.628

7.  The value of intraoperative ultrasonography during the resection of relapsed irradiated malignant gliomas in the brain.

Authors:  Kay Mursch; Martin Scholz; Wolfgang Brück; Julianne Behnke-Mursch
Journal:  Ultrasonography       Date:  2016-08-08

8.  Intraoperative cerebral glioma characterization with contrast enhanced ultrasound.

Authors:  Francesco Prada; Luca Mattei; Massimiliano Del Bene; Luca Aiani; Marco Saini; Cecilia Casali; Assunta Filippini; Federico Giuseppe Legnani; Alessandro Perin; Andrea Saladino; Ignazio Gaspare Vetrano; Luigi Solbiati; Alberto Martegani; Francesco DiMeco
Journal:  Biomed Res Int       Date:  2014-06-12       Impact factor: 3.411

  8 in total

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