Evidence map›Paper›PMID 39284430›Full record

ArticleMethods (San Diego, Calif.)2024

A novel methodology for mapping interstitial fluid dynamics in murine brain tumors using DCE-MRI.

Cora Carman-Esparza, Kathryn Kingsmore, Andrea Vaccari, Skylar Davis, Jessica Cunningham, Maosen Wang, Jennifer Munson

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Cora Carman-EsparzaFralin Biomedical Research Institute at Virginia Tech Carilion, Virginia Tech, Roanoke, VA, United States; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, United States.
Kathryn KingsmoreDepartment of Biomedical Engineering, University of Virginia, United States.
Andrea VaccariDepartment of Computer Science, Middlebury College, Middlebury, VT, United States.
Skylar DavisFralin Biomedical Research Institute at Virginia Tech Carilion, Virginia Tech, Roanoke, VA, United States.
Jessica CunninghamFralin Biomedical Research Institute at Virginia Tech Carilion, Virginia Tech, Roanoke, VA, United States.
Maosen WangFralin Biomedical Research Institute at Virginia Tech Carilion, Virginia Tech, Roanoke, VA, United States.
Jennifer MunsonFralin Biomedical Research Institute at Virginia Tech Carilion, Virginia Tech, Roanoke, VA, United States; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, United States. Electronic address: Jm4kt@vt.edu.

Funding

Interstitial Fluid Flow Regulates Glioma Cell InvasionR37CA222563 · NCI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MUNSON, JENNIFER M · 2018 to 2024
$4.0M
The impact of interstitial fluid flow on CAR T cell trafficking, distribution, and efficacyR01NS115971 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI BROWN, CHRISTINE, MUNSON, JENNIFER M · 2021 to 2025
$3.3M
NCI NIH HHS R37 CA222563NINDS NIH HHS R01 NS115971
6 · The paper itself

Abstract

We present a comprehensive methodology for measuring heterogeneous interstitial fluid flow in murine brain tumors using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) coupled with the computational tool, Lymph4D. This four-part protocol encompasses glioma cell preparation, tumor inoculation, MRI imaging protocol, and histological verification using Evans Blue. While conventional DCE-MRI analysis primarily focuses on vascular perfusion, our methods reveal untapped potential to extract crucial information about interstitial fluid dynamics, including directions, velocities, and diffusion coefficients. This methodology extends beyond glioma research, with applicability to conditions routinely imaged with DCE-MRI, thereby offering a versatile tool for investigating interstitial fluid dynamics across a wide range of diseases and conditions. Our methodology holds promise for accelerating discoveries and advancements in biomedical research, ultimately enhancing diagnostic and therapeutic strategies for a wide range of diseases and conditions.

Indexed as

Brain NeoplasmsContrast MediaExtracellular FluidGliomaMagnetic Resonance ImagingAnimalsCell Line, TumorHydrodynamicsMiceContrast Media

Identifiers

PMID39284430
PMCPMC11851864

What OpenQuestion holds

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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.