Literature DB >> 21371893

Application of magnetic resonance tractography in the perioperative planning of patients with eloquent region intra-axial brain lesions.

Anshul Bagadia1, Harshad Purandare, Basant K Misra, Santosh Gupta.   

Abstract

We aimed to assess the role of preoperative diffusion tensor tractography (DTT) in the surgical planning and prognostication of the postoperative outcome of patients with lesions in the eloquent areas of the brain. From 2006 to 2009, 50 patients were preoperatively evaluated with DTT and image-guidance studies. Three-dimensional (3D) color trajectory maps of white-matter tracts adjacent to the lesions were reconstructed. The usefulness of tractography in perioperative planning was graded on a scale of 1 to 4. The postoperative outcomes were studied in relation to the pattern of tract involvement. The lesions included brain tumors in 40 patients, vascular malformations in five patients and other lesions in five patients. An awake craniotomy was performed in 19 patients. The tracts were only displaced in 72% of patients, completely infiltrated in 14% and had a combined pattern in 14%. DTT significantly altered the planning (score ≥ 3) in 62% of patients. Patients with pure displacement had the best outcome, while those with infiltration had a poorer outcome. We conclude that tractography improves surgical safety and aids prognostication in surgery of patients with eloquent cortex lesions.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21371893     DOI: 10.1016/j.jocn.2010.08.026

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  9 in total

Review 1.  Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging.

Authors:  James R Fink; Mark Muzi; Melinda Peck; Kenneth A Krohn
Journal:  J Nucl Med       Date:  2015-08-20       Impact factor: 10.057

2.  Diffusion tensor tractography in the presurgical assessment of cerebral gliomas.

Authors:  Zahra Farshidfar; Fariborz Faeghi; Mostafa Mohseni; Afsoun Seddighi; Homayoun Hadizadeh Kharrazi; Jamil Abdolmohammadi
Journal:  Neuroradiol J       Date:  2014-02-24

Review 3.  Imaging characteristics of an unusual, high-grade angiocentric glioma: a case report and review of the literature.

Authors:  Hector N Aguilar; Ryan W Hung; Vivek Mehta; Trevor Kotylak
Journal:  J Radiol Case Rep       Date:  2012-10-01

4.  Compression of the middle cerebellar tract by posterior fossa tumors before and after Gamma Knife radiosurgery studied with diffusion tensor imaging.

Authors:  Herwin Speckter; Jose Bido; Giancarlo Hernandez; Diones Rivera; Luis Suazo; Santiago Valenzuela; Cesar Gonzalez; Peter Stoeter
Journal:  J Radiosurg SBRT       Date:  2019

Review 5.  Functional imaging in adult and paediatric brain tumours.

Authors:  Andrew C Peet; Theodoros N Arvanitis; Martin O Leach; Adam D Waldman
Journal:  Nat Rev Clin Oncol       Date:  2012-11-13       Impact factor: 66.675

6.  Preliminary Study of MR Diffusion Tensor Imaging of the Liver for the Diagnosis of Hepatocellular Carcinoma.

Authors:  Xinghui Li; Qi Liang; Ling Zhuang; Xiaoming Zhang; Tianwu Chen; Liangjun Li; Jun Liu; Horea Calimente; Yinan Wei; Jiani Hu
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

7.  Preliminary Study of MR Diffusion Tensor Imaging of Pancreas for the Diagnosis of Acute Pancreatitis.

Authors:  Xinghui Li; Ling Zhuang; Xiaoming Zhang; Jian Wang; Tianwu Chen; Liangjun Li; Emmanuel Ajedichiga Aduah; Jiani Hu
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

8.  Multi-fiber tractography visualizations for diffusion MRI data.

Authors:  Sjoerd B Vos; Max A Viergever; Alexander Leemans
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

9.  Optimal Factors of Diffusion Tensor Imaging Predicting Corticospinal Tract Injury in Patients with Brain Tumors.

Authors:  Zhi-Gang Min; Chen Niu; Qiu-Li Zhang; Ming Zhang; Yu-Cheng Qian
Journal:  Korean J Radiol       Date:  2017-07-17       Impact factor: 3.500

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.