Evidence map›Paper›PMID 32216636›Full record

ArticleJCO clinical cancer informatics2020

SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization.

Fan Zhang, Thomas Noh, Parikshit Juvekar, Sarah F Frisken, Laura Rigolo, Isaiah Norton, Tina Kapur, Sonia Pujol, William Wells, Alex Yarmarkovich and 10 more

Open access · hybridAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 93 citations in OpenAlex.

  1. White matter predicts tDCS antidepressant effects in a sham-controlled clinical trial study.European archives of psychiatry and clinical neuroscience · 2023
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  13. DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2025
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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

20 authors at 6 institutions in 3 countries.

Fan ZhangBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Thomas NohBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Parikshit JuvekarBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Sarah F FriskenBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Laura RigoloBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Isaiah NortonBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Tina KapurBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Sonia PujolBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
William WellsBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Alex YarmarkovichIsomics, Cambridge, MA.
Gordon KindlmannThe University of Chicago, Chicago, IL.
Demian WassermannParietal, Inria Saclay-lle de France, Neurospin CEA, Université Paris-Saclay, Palaiseau, France.
Raul San Jose EsteparBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Yogesh RathiBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Ron KikinisBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Hans J JohnsonUniversity of Iowa, Iowa City, IA.
Carl-Fredrik WestinBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Steve PieperIsomics, Cambridge, MA.
Alexandra J GolbyBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Lauren J O'DonnellBrigham and Women's Hospital and Harvard Medical School, Boston, MA.
Harvard University · USBrigham and Women's Hospital · USUniversité Paris-Saclay · FRUniversity of Bremen · DEUniversity of Chicago · USUniversity of Iowa · US

Funding

Washington University ConsoritumU54EB005149 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI SHARP, GREGORY · 2004 to 2013
$39.3M
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
Lymph Node Quantification System for Multisite Clinical TrialsR01CA235589 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GORDON J HARRIS, Ron Kikinis · 2019 to 2026
$4.5M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
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
Continuous Compensation of Brain Shift during NeurosurgeryR01EB027134 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI FRISKEN, SARAH · 2018 to 2021
$1.8M
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
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS R01 CA235589NCI NIH HHS U01 CA199459NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIBIB NIH HHS R01 EB027134NIBIB NIH HHS U54 EB005149NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH097979NIMH NIH HHS R01 MH119222
6 · The paper itself

Abstract

purposeWe present SlicerDMRI, an open-source software suite that enables research using diffusion magnetic resonance imaging (dMRI), the only modality that can map the white matter connections of the living human brain. SlicerDMRI enables analysis and visualization of dMRI data and is aimed at the needs of clinical research users. SlicerDMRI is built upon and deeply integrated with 3D Slicer, a National Institutes of Health-supported open-source platform for medical image informatics, image processing, and three-dimensional visualization. Integration with 3D Slicer provides many features of interest to cancer researchers, such as real-time integration with neuronavigation equipment, intraoperative imaging modalities, and multimodal data fusion. One key application of SlicerDMRI is in neurosurgery research, where brain mapping using dMRI can provide patient-specific maps of critical brain connections as well as insight into the tissue microstructure that surrounds brain tumors. PATIENTS AND

methodsIn this article, we focus on a demonstration of SlicerDMRI as an informatics tool to enable end-to-end dMRI analyses in two retrospective imaging data sets from patients with high-grade glioma. Analyses demonstrated here include conventional diffusion tensor analysis, advanced multifiber tractography, automated identification of critical fiber tracts, and integration of multimodal imagery with dMRI.

resultsWe illustrate the ability of SlicerDMRI to perform both conventional and advanced dMRI analyses as well as to enable multimodal image analysis and visualization. We provide an overview of the clinical rationale for each analysis along with pointers to the SlicerDMRI tools used in each.

conclusionSlicerDMRI provides open-source and clinician-accessible research software tools for dMRI analysis. SlicerDMRI is available for easy automated installation through the 3D Slicer Extension Manager.

Indexed as

AgedAlgorithmsBrain NeoplasmsDiffusion Magnetic Resonance ImagingHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedRetrospective StudiesSoftware

Identifiers

PMID32216636
PMCPMC7113081
OpenAlexW3013280574

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.