Evidence map›Paper›PMID 40649149›Full record

ReviewJournal of clinical medicine2025

DSC Perfusion MRI Artefact Reduction Strategies: A Short Overview for Clinicians and Scientific Applications.

Chris W J van der Weijden, Ingomar W Gutmann, Joost F Somsen, Gert Luurtsema, Tim van der Goot, Fatemeh Arzanforoosh, Miranda C A Kramer, Anne M Buunk, Erik F J de Vries, Alexander Rauscher and 1 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

11 authors.

Chris W J van der WeijdenDepartment of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-6825-8679
Ingomar W GutmannPhysics of Functional Material, Faculty of Physics, University of Vienna, 1090 Vienna, Austria.
Joost F SomsenDepartment of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, 9713 GZ Groningen, The Netherlands.
Gert LuurtsemaDepartment of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-8599-8129
Tim van der GootDepartment of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Fatemeh ArzanforooshDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Miranda C A KramerDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0009-0003-5040-998X
Anne M BuunkDepartment of Neurology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-7346-5691
Erik F J de VriesDepartment of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-6915-1590
Alexander RauscherDepartment of Paediatrics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Anouk van der HoornDepartment of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0003-4649-327X

Funding

NWO VENI grant 09150161910041
6 · The paper itself

Abstract

MRI perfusion is used to diagnose and monitor neurological conditions such as brain tumors, stroke, dementia, and traumatic brain injury. Dynamic Susceptibility Contrast (DSC) is the most widely available quantitative MRI technique for perfusion imaging. Even in its most basic implementation, DSC MRI provides critical hemodynamic metrics like cerebral blood flow (CBF), blood volume (CBV), mean transit time (MTT), and time between the peak of arterial input and residue function (Tmax), through the dynamic tracking of a gadolinium-based contrast agent. Notwithstanding its high clinical importance and widespread use, the reproducibility and diagnostic reliability are impeded by a lack of standardized pre-processing protocols and quality controls. A comprehensive literature review and the authors' aggregated experience identified common DSC MRI artefacts and corresponding pre-processing methods. Pre-processing methods to correct for artefacts were evaluated for their practical applicability and validation status. A consensus on the pre-processing was established by a multidisciplinary team of experts. Acquisition-related artefacts include geometric distortions, slice timing misalignment, and physiological noise. Intrinsic artefacts include motion, B

Indexed as

artefactsdynamic susceptibility contrastperfusion weighted imagingpre-processing

Identifiers

PMID40649149
PMCPMC12251243

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.