Evidence map›Paper›PMID 42154456›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity.

Weijie Zhao, Lisa-Marie Skrip, Heiko Tzschätzsch, Tom Meyer, Hossein S Aghamiry, Alexander Arnold, Lene Änne Böhne, Jakob Jordan, Oliver Boehm, Agnes K Boehm and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

20 authors.

Weijie ZhaoDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0009-0009-9490-9613
Lisa-Marie SkripDepartment of Surgery, Experimental Surgery, CCM|CVK, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Heiko TzschätzschInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Tom MeyerDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Hossein S AghamiryDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Alexander ArnoldInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-7727-0688
Lene Änne BöhneInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Jakob JordanDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Oliver BoehmDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Agnes K BoehmDepartment of Surgery, Experimental Surgery, CCM|CVK, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Steffen GörnerDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Jakob SchattenfrohDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Yanglei WuDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Pedro Augusto Dantas de MoraesDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Johann PratschkeDepartment of Surgery, Experimental Surgery, CCM|CVK, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Jürgen BraunDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Igor M SauerDepartment of Surgery, Experimental Surgery, CCM|CVK, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-9355-937X
Jing GuoDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Ingolf SackDepartment of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-2460-1444
Karl H HillebrandtDepartment of Surgery, Experimental Surgery, CCM|CVK, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Funding

Berliner Krebsgesellschaft PAFF202131Cluster of Excellence Matters of Activity, Image Space MaterialDeutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy-EXC 2025 390648296German Research Foundation, DFG CRC1340German Research Foundation, DFG FOR5628German Research Foundation, DFG GRK2260 BIOQICGerman Research Foundation, DFG project 460333672 CRC 1540 EBM
6 · The paper itself

Abstract

Compact, cost-effective tabletop magnetic resonance elastography (ttMRE) is an emerging research tool for assessing bulk soft tissue biomechanics but still lacks spatially resolved imaging of viscoelastic properties in heterogeneous specimens like tumors. Here, we develop and validate ttMRE for quantifying intratumoral biomechanical heterogeneity in human colorectal liver metastasis (CRLM). We excite cylindrical, multifrequency shear waves and reconstruct viscoelastic maps using adaptive bandpass filters constrained by rheological Bessel-fit priors. In this way, we obtain biophysical markers that agree with ground-truth measurements in numerical and viscoelastic phantoms. In CRLM, shear-wave-speed and penetration-rate maps - proxies of stiffness and attenuation, respectively - as well as their derived interquartile range and Shannon entropy, suggest markedly less viscous, stiffer, and more biomechanical heterogeneous tissue in specimens from responders to chemotherapy versus non-responders, with heterogeneity metrics outperforming direct viscoelastic parameters in diagnostic accuracy. These findings establish compact, automated ttMRE as a low-cost, scalable platform for spatial biomechanical profiling and quantitative assessment of treatment response in bulky colorectal liver metastasis specimens.

Indexed as

Colorectal NeoplasmsElasticityElasticity Imaging TechniquesLiver NeoplasmsMagnetic Resonance ImagingBiomechanical PhenomenaHumansPhantoms, ImagingViscositychemotherapy treatment responsecolorectal liver metastasisintratumoral biomechanical heterogeneitymagnetic resonance elastographytabletop magnetic resonance elastography

Identifiers

PMID42154456
PMCPMC13335987

What Socratic 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 Socratic graph.