Evidence map›Paper›PMID 41486095›Full record

ArticleMagnetic resonance in medicine2026

CEST MRI Processing Pipeline in Pilot Study of Alzheimer's Disease Patients.

Alexander Asturias, Fang Frank Yu, Elizabeth M Davenport, Brendan J Kelley, Ivan E Dimitrov, Jochen Keupp, Elena Vinogradov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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.

Alexander AsturiasDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Fang Frank YuDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Elizabeth M DavenportDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Brendan J KelleyDepartment of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ivan E DimitrovAdvanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jochen KeuppPhilips Innovative Technologies, Hamburg, Germany.
Elena VinogradovDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0003-4607-4147

Funding

Chemical Exchange Saturation Transfer (CEST) MRI for the Characterization Small Renal MassesR01CA252281 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI PEDROSA, IVAN, VINOGRADOV, ELENA · 2021 to 2025
$2.1M
NCI NIH HHS R01 CA252281NIH HHS R01CA252281NIH HHS T32-EB028093Southwestern Medical Foundation and G.R. White TrustTexas Alzheimer's Research & Care Consortium 1029408
6 · The paper itself

Abstract

purposeTo develop a processing pipeline combining neuroimaging analysis tools with CEST postprocessing and utilize it in a pilot study probing differences between cognitively impaired (CI) Alzheimer's disease (AD) patients and cognitively normal (CN) individuals.

methodsEight subjects (4 biomarker confirmed CI with underlying AD and 4 CN) were scanned on a 3T MRI scanner. The processing pipeline included rigid motion correction and co-registration of the CEST images with the 3D T

resultsMotion correction reduced artifacts and visually improved CEST results. Multiple cortical and white matter ROIs showed differences in MTR

conclusionOur proposed pipeline enables robust data analysis using either MTR

Indexed as

Alzheimer DiseaseBrainImage Processing, Computer-AssistedMagnetic Resonance ImagingAgedAged, 80 and overAlgorithmsArtifactsFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMaleMiddle AgedPilot Projects

Identifiers

PMID41486095
PMCPMC12962198

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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.