Evidence map›Paper›PMID 26762104›Full record

ArticleInternational journal of computer assisted radiology and surgery2016

Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography.

Zhenrui Chen, Yanmei Tie, Olutayo Olubiyi, Fan Zhang, Alireza Mehrtash, Laura Rigolo, Pegah Kahali, Isaiah Norton, Ofer Pasternak, Yogesh Rathi and 2 more

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Multimodal Neuroimaging Computing: Basics and Applications in Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
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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

12 authors.

Zhenrui ChenDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Yanmei TieDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Olutayo OlubiyiDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Fan ZhangDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Alireza MehrtashDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Laura RigoloDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Pegah KahaliDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Isaiah NortonDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Ofer PasternakDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Yogesh RathiDepartment of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Alexandra J GolbyDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. agolby@bwh.harvard.edu.
Lauren J O'DonnellDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA. odonnell@bwh.harvard.edu.

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PUJOL, SONIA · 2012 to 2022
$20.9M
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Taking advanced diffusion imaging to the clinic for pediatric patients with ADHDR01MH097979 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI RATHI, YOGESH · 2012 to 2017
$2.4M
Open source diffusion MRI technology for brain cancer researchU01CA199459 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN · 2015 to 2017
$1.1M
Characterization of White Matter in Huntington's Disease Using Diffusion MRIU01NS083223 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2014 to 2015
$869k
Rapid Analysis of Intraoperatively Acquired DTI for Identification of Key White MR21CA156943 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLBY, ALEXANDRA J, O'DONNELL, LAUREN JEAN · 2011 to 2012
$666k
Pre-surgical Language Mapping with fMRI using a Natural Viewing ConditionR21NS075728 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLBY, ALEXANDRA J · 2012 to 2013
$476k
Novel diffusion MRI analysis for detection of mild traumatic brain injuryR03NS088301 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN · 2015 to 2016
$177k
NCI NIH HHS R21 CA156943NCI NIH HHS U01 CA199459NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH097979NINDS NIH HHS R03 NS088301NINDS NIH HHS R21 NS075728NINDS NIH HHS U01 NS083223
6 · The paper itself

Abstract

purposeThe aim of this study was to present a tractography algorithm using a two-tensor unscented Kalman filter (UKF) to improve the modeling of the corticospinal tract (CST) by tracking through regions of peritumoral edema and crossing fibers.

methodsTen patients with brain tumors in the vicinity of motor cortex and evidence of significant peritumoral edema were retrospectively selected for the study. All patients underwent 3-T magnetic resonance imaging (MRI) including functional MRI (fMRI) and a diffusion-weighted data set with 31 directions. Fiber tracking was performed using both single-tensor streamline and two-tensor UKF tractography methods. A two-region-of-interest approach was used to delineate the CST. Results from the two tractography methods were compared visually and quantitatively. fMRI was applied to identify the functional fiber tracts.

resultsSingle-tensor streamline tractography underestimated the extent of tracts running through the edematous areas and could only track the medial projections of the CST. In contrast, two-tensor UKF tractography tracked fanning projections of the CST despite peritumoral edema and crossing fibers. Based on visual inspection, the two-tensor UKF tractography delineated tracts that were closer to motor fMRI activations, and it was apparently more sensitive than single-tensor streamline tractography to define the tracts directed to the motor sites. The volume of the CST was significantly larger on two-tensor UKF than on single-tensor streamline tractography ([Formula: see text]).

conclusionTwo-tensor UKF tractography tracks a larger volume CST than single-tensor streamline tractography in the setting of peritumoral edema and crossing fibers in brain tumor patients.

Indexed as

AdultAlgorithmsBrain NeoplasmsEdemaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPyramidal TractsRetrospective StudiesCorticospinal tractCrossing fibersDiffusion tensor imagingNeurosurgical planningPeritumoral edemaTractography

Identifiers

PMID26762104
PMCPMC4942409

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Registered trials

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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.