Evidence map›Paper›PMID 31981214›Full record

ReviewMedical physics2020

Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs.

Alejandra Valladares, Thomas Beyer, Ivo Rausch

Abstract readReview
In one paragraph

Review in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. An interpretable machine learning model integrating [European journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Influence of scan mode, tilt, and radiation dose on CT radiomic metrics.Journal of applied clinical medical physics · 2026
    Article
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  8. Article
  9. Article
  10. Review
  11. Article
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  14. Review
  15. Article
  16. Review of imaging test phantoms.Journal of biomedical optics · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Alejandra ValladaresQIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, 1090, Austria.
Thomas BeyerQIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, 1090, Austria.
Ivo RauschQIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, 1090, Austria.

Funding

European Union's Horizon 2020 764458
6 · The paper itself

Abstract

backgroundIn oncology, lesion characterization is essential for tumor grading, treatment planning, and follow-up of cancer patients. Hybrid imaging systems, such as Single Photon Emission Computed Tomography (SPECT)/CT, Positron Emission Tomography (PET)/CT, or PET/magnetic resonance imaging (MRI), play an essential role for the noninvasive quantification of tumor characteristics. However, most of the existing approaches are challenged by intra- and intertumor heterogeneity. Novel quantitative imaging parameters that can be derived from textural feature analysis (as part of radiomics) are promising complements for improved characterization of tumor heterogeneity, thus, supporting clinically relevant implementations of personalized medicine concepts. Nevertheless, establishing new quantitative parameters for tumor characterization requires the use of standardized imaging objects to test the reliability of results prior to their implementation in patient studies.

methodsIn this review, we summarize existing reports on heterogeneous phantoms with a focus on simulating tumor heterogeneity. We discuss the techniques, materials, advantages, and limitations of the existing phantoms for PET, CT, and MR imaging modalities.

conclusionsFinally, we outline the future directions and requirements for the design of cross modality imaging phantoms.

Indexed as

Phantoms, ImagingHumansMagnetic Resonance ImagingNeoplasmsPositron-Emission TomographyPrinting, Three-DimensionalTomography, X-Ray ComputedCTMRIPETphantomtumor heterogeneity

Identifiers

PMID31981214
PMCPMC7216968

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.