Evidence map›Paper›PMID 28840099›Full record

ArticleNeuroImage. Clinical2017

Specific DTI seeding and diffusivity-analysis improve the quality and prognostic value of TMS-based deterministic DTI of the pyramidal tract.

Tizian Rosenstock, Davide Giampiccolo, Heike Schneider, Sophia Jutta Runge, Ina Bährend, Peter Vajkoczy, Thomas Picht

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 69 citations in OpenAlex.

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  19. Functional Approaches to the Surgery of Brain Gliomas.Advances and technical standards in neurosurgery · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Tizian RosenstockDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Davide GiampiccoloInstitute of Neurosurgery, University Hospital, Piazzale Stefani 1, 37100 Verona, Italy.
Heike SchneiderDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Sophia Jutta RungeDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Ina BährendDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Peter VajkoczyDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Thomas PichtDepartment of Neurosurgery, Charité University Medicine, Charitéplatz 1, 10117 Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectNavigated transcranial magnetic stimulation (nTMS) combined with diffusion tensor imaging (DTI) is used preoperatively in patients with eloquent-located brain lesions and allows analyzing non-invasively the spatial relationship between the tumor and functional areas (e.g. the motor cortex and the corticospinal tract [CST]). In this study, we examined the diffusion parameters FA (fractional anisotropy) and ADC (apparent diffusion coefficient) within the CST in different locations and analyzed their interrater reliability and usefulness for predicting the patients' motor outcome with a precise approach of specific region of interest (ROI) seeding based on the color-coded FA-map.

methodsProspectively collected data of 30 patients undergoing bihemispheric nTMS mapping followed by nTMS-based DTI fiber tracking prior to surgery of motor eloquent high-grade gliomas were analyzed by 2 experienced and 1 unexperienced examiner. The following data were scrutinized for both hemispheres after tractography based on nTMS-motor positive cortical seeds and a 2nd region of interest in one layer of the caudal pons defined by the color-coded FA-map: the pre- and postoperative motor status (day of discharge und 3 months), the closest distance between the tracts and the tumor (TTD), the fractional anisotropy (FA) and the apparent diffusion coefficient (ADC). The latter as an average within the CST as well as specific values in different locations (peritumoral, mesencephal, pontine).

resultsLower average FA-values within the affected CST as well as higher average ADC-values are significantly associated with deteriorated postoperative motor function (p = 0.006 and p = 0.026 respectively). Segmental analysis within the CST revealed that the diffusion parameters are especially disturbed on a peritumoral level and that the degree of their impairment correlates with motor deficits (FA p = 0.065, ADC p = 0.007). No significant segmental variation was seen in the healthy hemisphere. The interrater reliability showed perfect agreement for almost all analyzed parameters.

conclusionsAdding diffusion weighted imaging derived information on the structural integrity of the nTMS-based tractography results improves the predictive power for postoperative motor outcome. Utilizing a second subcortical ROI which is specifically seeded based on the color-coded FA map increases the tracking quality of the CST independently of the examiner's experience. Further prospective studies are needed to validate the nTMS-based prediction of the patient's outcome.

Indexed as

AdultAgedBrain NeoplasmsDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleGliomaHumansMaleMiddle AgedMotor CortexNeuronavigationProspective StudiesPyramidal TractsReproducibility of ResultsApparent diffusion coefficientBrain tumor surgeryDiffusion tensor imagingFractional anisotropyGliomaMotor outcomeNavigated transcranial magnetic stimulation (nTMS)

Identifiers

PMID28840099
PMCPMC5560117
OpenAlexW2747469482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.