2020
DOI: 10.3390/cancers12051264
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Risk Assessment by Presurgical Tractography Using Navigated TMS Maps in Patients with Highly Motor- or Language-Eloquent Brain Tumors

Abstract: Patients with functionally eloquent brain lesions are at risk of functional decline in the course of resection. Given tumor-related plastic reshaping and reallocation of function, individual data are needed for patient counseling and risk assessment prior to surgery. This study evaluates the utility of mapping by navigated transcranial magnetic stimulation (nTMS) and nTMS-based diffusion tensor imaging fiber tracking (DTI FT) for individual risk evaluation of surgery-related decline of motor or language functi… Show more

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Cited by 57 publications
(63 citation statements)
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“…As for motor mapping, the two investigators performed nTMS-based DTI FT independently and were blinded to each other's tractography results. The motor-positive stimulation points were fused with the MRI dataset of the respective patient, followed by definition of the motor-positive stimulation points as one object, which was transferred into a region of interest (ROI) by adding rims of 2 mm to each point [8][9][10]. In the ipsilateral brain stem, a manually drawn polygonal, second ROI was generated to subsequently track fibers connecting these two ROIs [8][9][10].…”
Section: Fiber Tracking Proceduresmentioning
confidence: 99%
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“…As for motor mapping, the two investigators performed nTMS-based DTI FT independently and were blinded to each other's tractography results. The motor-positive stimulation points were fused with the MRI dataset of the respective patient, followed by definition of the motor-positive stimulation points as one object, which was transferred into a region of interest (ROI) by adding rims of 2 mm to each point [8][9][10]. In the ipsilateral brain stem, a manually drawn polygonal, second ROI was generated to subsequently track fibers connecting these two ROIs [8][9][10].…”
Section: Fiber Tracking Proceduresmentioning
confidence: 99%
“…The motor-positive stimulation points were fused with the MRI dataset of the respective patient, followed by definition of the motor-positive stimulation points as one object, which was transferred into a region of interest (ROI) by adding rims of 2 mm to each point [8][9][10]. In the ipsilateral brain stem, a manually drawn polygonal, second ROI was generated to subsequently track fibers connecting these two ROIs [8][9][10]. CST tracking was then achieved with predefined fractional anisotropy (FA) values of 0.1 and 0.15, combined with a minimum fiber length of 100 mm [8,40].…”
Section: Fiber Tracking Proceduresmentioning
confidence: 99%
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“…The technique of nTMS has lately been used to conduct language mappings in patients suffering from language-eloquent glioma or other entities of brain tumors [13][14][15][16]. Furthermore, it has been combined with diffusion tensor imaging (DTI) derived from preoperative magnetic resonance imaging (MRI) to provide spatially resolved maps that visualize language-related structures [17][18][19][20][21][22][23][24][25]. Integration into clinical routine and the perioperative workflow is seamless, and the approach is currently regarded as a valuable adjunct to intraoperative DES [14,15].…”
Section: Introductionmentioning
confidence: 99%
“…The mere additional use of nTMS-based DTI fiber tracking (DTI FT) did not improve the identification of DES-positive language areas during awake surgery [24]. Nevertheless, the visualization of the subcortical language network becomes possible purely based on functional data by using nTMS-based DTI FT, which has shown high potential for surgical planning, resection guidance, and risk assessment in patients with language-eloquent lesions [17][18][19][20][21][22][23][24][25]. However, explorations of the differences between language-positive and language-negative nTMS mappings are still largely missing, which is one reason contributing to the lack of understanding of the comparatively low specificity of nTMS language mapping in relation to intraoperative DES.…”
Section: Introductionmentioning
confidence: 99%