Evidence map›Paper›PMID 42347133›Full record

ArticleTomography (Ann Arbor, Mich.)2026

Biophysical Diffusion MRI Models Better Identify White Matter Tracts in Edema.

Isaac E Prentiss, Sasha Hakhu, Jennapher Lingo VanGilder, Parvathy Hareesh, Andrew Hooyman, Jason Yalim, Justin Hines, Gabe LaFond, Edward Ofori, Leslie C Baxter and 4 more

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Isaac E PrentissSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.ORCID 0009-0008-1359-1627
Sasha HakhuSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.ORCID 0009-0007-0019-6284
Jennapher Lingo VanGilderSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.
Parvathy HareeshSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.ORCID 0009-0002-9194-1297
Andrew HooymanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0002-8705-3759
Jason YalimResearch Computing, Arizona State University, Tempe, AZ 85287, USA.
Justin HinesDepartment of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA.
Gabe LaFondDepartment of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA.
Edward OforiCollege of Health Solutions, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0002-5440-1649
Leslie C BaxterDepartment of Psychiatry and Psychology, Mayo Clinic, Phoenix, AZ 85054, USA.ORCID 0000-0002-3971-863X
Yuxiang ZhouDepartment of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA.
Leland S HuDepartment of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA.
Kurt G SchillingDepartment of Radiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Scott C BeemanSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA.ORCID 0000-0001-6721-1185

Funding

Quantifying Multiscale Competitive Landscapes of Clonal Diversity in GlioblastomaU01CA220378 · NCI · MAYO CLINIC ARIZONA · PI HU, LELAND, SWANSON, KRISTIN R · 2017 to 2021
$4.3M
Langworthy Diversity Supplement: Image-based models of tumor-immune dynamics in glioblastomaU01CA250481 · NCI · MAYO CLINIC ARIZONA · PI CANOLL, PETER, HU, LELAND · 2021 to 2025
$3.8M
Establishing the clinical utility of a consensus DSC-MRI ProtocolR01CA264992 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Jerrold L Boxerman, Leland Hu · 2022 to 2026
$2.4M
Towards MRI-based detection and categorization of invasive high grade glioma subtypesR37CA288396 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI Scott Charles Beeman · 2025 to 2026
$1.0M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
MRI-based mapping of regional genomic diversity in GlioblastomaR21NS082609 · NINDS · MAYO CLINIC ARIZONA · PI HU, LELAND · 2013 to 2014
$525k
NCI NIH HHS R01CA264992NCI NIH HHS R37CA288396NCI NIH HHS U01CA220378NCI NIH HHS U01CA250481NIBIB NIH HHS K01EB032898NINDS NIH HHS R21NS082609
6 · The paper itself

Abstract

BACKGROUND/

objectivesWhite matter (WM) tract detection is critical in the presurgical planning of tumor resection. However, standard-of-care imaging techniques including T

methodsIn this study, we use multi-shell diffusion-weighted MRI data obtained from patients with meningiomas-a pathology allowing for isolation of the effects of edema without the confounding effects of tumor cell invasion. We compared FA from standard and free-water-corrected DTI, the orientation dispersion index (ODI) from NODDI, and P

resultsOur results show that (1 - ODI) and P

conclusionsThese results highlight the potential of biophysical diffusion models for preoperative mapping in edema.

Indexed as

Brain EdemaDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingMeningeal NeoplasmsMeningiomaWhite MatterFemaleHumansMalediffusion MRIDTIedemaNODDISMtractographywhite matter

Identifiers

PMID42347133
PMCPMC13306668

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.