Literature DB >> 26047420

Longitudinal evaluation of corticospinal tract in patients with resected brainstem cavernous malformations using high-definition fiber tractography and diffusion connectometry analysis: preliminary experience.

Amir H Faraji1, Kumar Abhinav1, Kevin Jarbo2, Fang-Cheng Yeh3, Samuel S Shin1, Sudhir Pathak2, Barry E Hirsch4, Walter Schneider2, Juan C Fernandez-Miranda1, Robert M Friedlander1.   

Abstract

OBJECT: Brainstem cavernous malformations (CMs) are challenging due to a higher symptomatic hemorrhage rate and potential morbidity associated with their resection. The authors aimed to preoperatively define the relationship of CMs to the perilesional corticospinal tracts (CSTs) by obtaining qualitative and quantitative data using high-definition fiber tractography. These data were examined postoperatively by using longitudinal scans and in relation to patients' symptomatology. The extent of involvement of the CST was further evaluated longitudinally using the automated "diffusion connectometry" analysis.
METHODS: Fiber tractography was performed with DSI Studio using a quantitative anisotropy (QA)-based generalized deterministic tracking algorithm. Qualitatively, CST was classified as being "disrupted" and/or "displaced." Quantitative analysis involved obtaining mean QA values for the CST and its perilesional and nonperilesional segments. The contralateral CST was used for comparison. Diffusion connectometry analysis included comparison of patients' data with a template from 90 normal subjects.
RESULTS: Three patients (mean age 22 years) with symptomatic pontomesencephalic hemorrhagic CMs and varying degrees of hemiparesis were identified. The mean follow-up period was 37.3 months. Qualitatively, CST was partially disrupted and displaced in all. Direction of the displacement was different in each case and progressively improved corresponding with the patient's neurological status. No patient experienced neurological decline related to the resection. The perilesional mean QA percentage decreases supported tract disruption and decreased further over the follow-up period (Case 1, 26%-49%; Case 2, 35%-66%; and Case 3, 63%-78%). Diffusion connectometry demonstrated rostrocaudal involvement of the CST consistent with the quantitative data.
CONCLUSIONS: Hemorrhagic brainstem CMs can disrupt and displace perilesional white matter tracts with the latter occurring in unpredictable directions. This requires the use of tractography to accurately define their orientation to optimize surgical entry point, minimize morbidity, and enhance neurological outcomes. Observed anisotropy decreases in the perilesional segments are consistent with neural injury following hemorrhagic insults. A model using these values in different CST segments can be used to longitudinally monitor its craniocaudal integrity. Diffusion connectometry is a complementary approach providing longitudinal information on the rostrocaudal involvement of the CST.

Entities:  

Keywords:  ADL = activities of daily living; CC = corpus callosum; CM = cavernous malformation; CN = cranial nerve; CST = corticospinal tract; DSI = diffusion spectrum imaging; DTI = diffusion tensor imaging; FDR = false discovery rate; HDFT = high-definition fiber tractography; ICH = intracerebral hemorrhage; QA = quantitative anisotropy; ROI = region of interest; SRS = stereotactic radiosurgery; brainstem cavernous malformations; corticospinal tract; diffusion MRI; diffusion connectometry; fiber tractography; quantitative anisotropy; vascular disorders

Mesh:

Year:  2015        PMID: 26047420     DOI: 10.3171/2014.12.JNS142169

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


  10 in total

Review 1.  Tractography for Surgical Neuro-Oncology Planning: Towards a Gold Standard.

Authors:  Sandip S Panesar; Kumar Abhinav; Fang-Cheng Yeh; Timothée Jacquesson; Malie Collins; Juan Fernandez-Miranda
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

Review 2.  Neuroimaging of Cavernous Malformations.

Authors:  Maxim Mokin; Siviero Agazzi; Lowell Dawson; Christopher T Primiani
Journal:  Curr Pain Headache Rep       Date:  2017-10-13

Review 3.  Clinical application of diffusion tensor imaging and fiber tractography in the management of brainstem cavernous malformations: a systematic review.

Authors:  Marta Rogalska; Lukasz Antkowiak; Marek Mandera
Journal:  Neurosurg Rev       Date:  2022-02-25       Impact factor: 3.042

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.  White matter tractography for neurosurgical planning: A topography-based review of the current state of the art.

Authors:  Walid I Essayed; Fan Zhang; Prashin Unadkat; G Rees Cosgrove; Alexandra J Golby; Lauren J O'Donnell
Journal:  Neuroimage Clin       Date:  2017-06-15       Impact factor: 4.881

6.  Network reorganisation following anterior temporal lobe resection and relation with post-surgery seizure relapse: A longitudinal study.

Authors:  Nádia Moreira da Silva; Rob Forsyth; Andrew McEvoy; Anna Miserocchi; Jane de Tisi; Sjoerd B Vos; Gavin P Winston; John Duncan; Yujiang Wang; Peter N Taylor
Journal:  Neuroimage Clin       Date:  2020-06-26       Impact factor: 4.881

7.  Diffusion Spectrum Imaging of Corticospinal Tracts in Idiopathic Normal Pressure Hydrocephalus.

Authors:  Hong Zhang; Wen-Jie He; Li-Hong Liang; Han-Wen Zhang; Xie-Jun Zhang; Liang Zeng; Si-Ping Luo; Fan Lin; Yi Lei
Journal:  Front Neurol       Date:  2021-02-25       Impact factor: 4.003

8.  The trajectory of the medial longitudinal fasciculus in the human brain: A diffusion imaging-based tractography study.

Authors:  Mengjun Li; Fang-Cheng Yeh; Qingrun Zeng; Xiaolong Wu; Xu Wang; Zixin Zhu; Xiaohai Liu; Jiantao Liang; Ge Chen; Hongqi Zhang; Yuanjing Feng; Mingchu Li
Journal:  Hum Brain Mapp       Date:  2021-10-01       Impact factor: 5.038

9.  Automatic oculomotor nerve identification based on data-driven fiber clustering.

Authors:  Jiahao Huang; Mengjun Li; Qingrun Zeng; Lei Xie; Jianzhong He; Ge Chen; Jiantao Liang; Mingchu Li; Yuanjing Feng
Journal:  Hum Brain Mapp       Date:  2022-01-29       Impact factor: 5.038

10.  Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy.

Authors:  Nishant Sinha; Yujiang Wang; Justin Dauwels; Marcus Kaiser; Thomas Thesen; Rob Forsyth; Peter Neal Taylor
Journal:  Neuroimage Clin       Date:  2019-01-11       Impact factor: 4.881

  10 in total

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