Evidence map›Paper›PMID 40196141›Full record

ArticleArXiv2025

Imaging Intravoxel Vessel Size Distribution in the Brain Using Susceptibility Contrast Enhanced MRI.

Natenael B Semmineh, Indranil Guha, Deborah Healey, Anagha Chandrasekharan, C Chad Quarles, Jerrold L Boxerman

Abstract readPreprint
In one paragraph

Article in ArXiv, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Natenael B SemminehDepartment of Cancer Systems Imaging, Cancer Neuroscience Program, Neuroimaging Innovations to Transform Cancer Care (NeuroCare) Program, The University of Texas MD Anderson Cancer Center, Houston, TX, 77025, USA.
Indranil GuhaDepartment of Cancer Systems Imaging, Cancer Neuroscience Program, Neuroimaging Innovations to Transform Cancer Care (NeuroCare) Program, The University of Texas MD Anderson Cancer Center, Houston, TX, 77025, USA.
Deborah HealeyDepartment of Cancer Systems Imaging, Cancer Neuroscience Program, Neuroimaging Innovations to Transform Cancer Care (NeuroCare) Program, The University of Texas MD Anderson Cancer Center, Houston, TX, 77025, USA.
Anagha ChandrasekharanDepartment of Cancer Systems Imaging, Cancer Neuroscience Program, Neuroimaging Innovations to Transform Cancer Care (NeuroCare) Program, The University of Texas MD Anderson Cancer Center, Houston, TX, 77025, USA.
C Chad QuarlesDepartment of Cancer Systems Imaging, Cancer Neuroscience Program, Neuroimaging Innovations to Transform Cancer Care (NeuroCare) Program, The University of Texas MD Anderson Cancer Center, Houston, TX, 77025, USA.
Jerrold L BoxermanDepartment of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.

Funding

Super-Resolution OMX MicroscropeS10RR029552 · NCRR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ZAL, TOMASZ · 2011 to 2011
$1.0M
NovaSeq6000S10OD024977 · OD · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUFF, VICKI · 2018 to 2018
$995k
NCRR NIH HHS S10 RR029552NIH HHS S10 OD024977
6 · The paper itself

Abstract

Vascular remodelling is inherent to the pathogenesis of many diseases including cancer, neurodegeneration, fibrosis, hypertension, and diabetes. In this paper, a new susceptibility-contrast based MRI approach is established to non-invasively image intravoxel vessel size distribution (VSD), enabling a more comprehensive and quantitative assessment of vascular remodelling. The approach utilizes high-resolution light-sheet fluorescence microscopy images of rodent brain vasculature, simulating gradient echo sampling of free induction decay and spin echo (GESFIDE) MRI signals for the three-dimensional vascular networks, and training a deep learning model to predict cerebral blood volume (CBV) and VSD from GESFIDE signals. The results from

Identifiers

PMID40196141
PMCPMC11975306

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.