Evidence map›Paper›PMID 29670096›Full record

ArticleNature communications2018

Motion model ultrasound localization microscopy for preclinical and clinical multiparametric tumor characterization.

Tatjana Opacic, Stefanie Dencks, Benjamin Theek, Marion Piepenbrock, Dimitri Ackermann, Anne Rix, Twan Lammers, Elmar Stickeler, Stefan Delorme, Georg Schmitz and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05754814 (SUper-Resolution Ultrasound Imaging of Erythrocytes), which is not on this map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 1 pooled it
16.0field-weighted citation impact, top 1% of its field
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.

NCT05754814 completednot on this mapstarted 2022, after this paper: background citation

SUper-Resolution Ultrasound Imaging of Erythrocytes (SURE) in Normal and Malignant Lymph Nodes

TypeobservationalSponsorRigshospitalet, DenmarkRan2022 to 2026Enrolled20ConditionsHead and Neck Cancer, Lymphoma, Lymph Node MetastasisArmsMalignant lymph nodes
3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 1 synthesis or guideline pooled it, 275 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Imaging the hallmarks of cancer.Nature reviews. Cancer · 2026
    Review
  4. Article
  5. Super-Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Clinical Applications of Advanced Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  16. Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. High-Volume Acquisition Rate Nonlinear Imaging Enables Robust 3-D Ultrasound Localization Microscopy.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Article

57 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Tatjana OpacicInstitute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, CMBS, Forckenbeckstr. 55, 52074, Aachen, Germany.
Stefanie DencksChair for Medical Engineering, Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Universitätsstr. 150, 44780, Bochum, Germany.ORCID http://orcid.org/0000-0002-7669-5158
Benjamin TheekInstitute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, CMBS, Forckenbeckstr. 55, 52074, Aachen, Germany.
Marion PiepenbrockChair for Medical Engineering, Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Universitätsstr. 150, 44780, Bochum, Germany.
Dimitri AckermannChair for Medical Engineering, Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Universitätsstr. 150, 44780, Bochum, Germany.
Anne RixInstitute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, CMBS, Forckenbeckstr. 55, 52074, Aachen, Germany.
Twan LammersInstitute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, CMBS, Forckenbeckstr. 55, 52074, Aachen, Germany.
Elmar StickelerDepartment of Obstetrics and Gynecology, University Clinic Aachen, RWTH Aachen University, Pauwelsstr. 30, 52074, Aachen, Germany.
Stefan DelormeDepartment of Radiology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Georg SchmitzChair for Medical Engineering, Department of Electrical Engineering and Information Technology, Ruhr University Bochum, Universitätsstr. 150, 44780, Bochum, Germany. georg.schmitz@rub.de.ORCID http://orcid.org/0000-0001-5876-7202
Fabian KiesslingInstitute for Experimental Molecular Imaging, University Clinic Aachen, RWTH Aachen University, CMBS, Forckenbeckstr. 55, 52074, Aachen, Germany. fkiessling@ukaachen.de.
RWTH Aachen University · DERuhr University Bochum · DEGerman Cancer Research Center · DEUniversity Hospitals of the Ruhr-University of Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Super-resolution imaging methods promote tissue characterization beyond the spatial resolution limits of the devices and bridge the gap between histopathological analysis and non-invasive imaging. Here, we introduce motion model ultrasound localization microscopy (mULM) as an easily applicable and robust new tool to morphologically and functionally characterize fine vascular networks in tumors at super-resolution. In tumor-bearing mice and for the first time in patients, we demonstrate that within less than 1 min scan time mULM can be realized using conventional preclinical and clinical ultrasound devices. In this context, next to highly detailed images of tumor microvascularization and the reliable quantification of relative blood volume and perfusion, mULM provides multiple new functional and morphological parameters that discriminate tumors with different vascular phenotypes. Furthermore, our initial patient data indicate that mULM can be applied in a clinical ultrasound setting opening avenues for the multiparametric characterization of tumors and the assessment of therapy response.

Indexed as

MotionA549 CellsAlgorithmsAnimalsCell Line, TumorContrast MediaFemaleHumansImage Processing, Computer-AssistedMiceMicrobubblesMicroscopyMiddle AgedNeoplasmsNeoplasm TransplantationPhenotypeContrast Media

Identifiers

PMID29670096
PMCPMC5906644
OpenAlexW2800873425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.