Evidence map›Paper›PMID 42149188›Full record

ReviewRecent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer2026

Preclinical Applications of Magnetic Resonance Imaging in Oncology.

Wilfried Reichardt, Andreas B Schmidt, Dominik von Elverfeldt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer, 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

3 authors.

Wilfried ReichardtMedical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany. wilfried.reichardt@uniklinik-freiburg.de.
Andreas B SchmidtMedical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Dominik von ElverfeldtMedical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolving possibilities of molecular imaging (MI) are fundamentally changing the way we look at cancer, with imaging paradigms now shifting away from basic morphological measures toward the longitudinal assessment of functional, metabolic, cellular, and molecular information in vivo. Recent developments of imaging methodology and probe molecules utilizing the vast number of novel animal models of human cancers have enhanced our ability to non-invasively characterize neoplastic tissue, the tumor microenvironment (TME), and follow anticancer treatments. While preclinical molecular imaging offers a wide spectrum of excellent methodologies to choose from, we will focus on magnetic resonance imaging (MRI) techniques, since they provide excellent molecular imaging capabilities and bear high potential for clinical translation. Prerequisites and consequences of using animal models as surrogates of human cancers in preclinical molecular imaging are outlined. We present physical principles, values, and limitations of MRI as a molecular imaging modality and comment on its high potential to non-invasively assess information on metabolism, hypoxia, supporting cancer tissue, and cell trafficking in preclinical cancer research.

Indexed as

Magnetic Resonance ImagingMolecular ImagingNeoplasmsAnimalsHumansTumor Microenvironment19F MR ImagingCarbon-13 and Dynamic Contrast Enhanced MRI (DCE-MRI)Cell trackingDiffusion weighted MRI (DWI)Hyperpolarized MRISuper Paramagnetic Iron Oxides (SPIO)

Identifiers

What OpenQuestion holds

Textmetadata
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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.