Evidence map›Paper›PMID 35332139›Full record

ArticleNPJ breast cancer2022

Intratumoral in vivo staging of breast cancer by multi-tracer PET and advanced analysis.

Jennifer Griessinger, Julian Schwab, Qian Chen, Anna Kühn, Jonathan Cotton, Gregory Bowden, Heike Preibsch, Gerald Reischl, Leticia Quintanilla-Martinez, Hidetoshi Mori and 7 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 36% 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.

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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Breast PET/MRI Hybrid Imaging and Targeted Tracers.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  3. 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

17 authors at 5 institutions in 2 countries.

Jennifer GriessingerWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Julian SchwabWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Qian ChenCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.
Anna KühnWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Jonathan CottonWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Gregory BowdenWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0003-2274-6738
Heike PreibschDepartment of Radiology, University Hospital Tuebingen, Tuebingen, Germany.
Gerald ReischlWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0003-3961-116X
Leticia Quintanilla-MartinezCluster of Excellence iFIT(EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany.
Hidetoshi MoriCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.
An Nguyen DangCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.
Ursula KohlhoferDepartment of Pathology, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Olulanu H AinaCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.
Alexander D BorowskyCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.ORCID http://orcid.org/0000-0003-3117-9202
Bernd J PichlerWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.
Robert D CardiffCenter for Immunology and Infectious Diseases, University of California, Davis, CA, USA.
Andreas M SchmidWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany. A.Schmid@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0001-6483-8759
Siemens (Germany) · DEUniversity of California, Davis · USUniversity of Tübingen · DEHertie Institute for Clinical Brain Research · DESpringhouse · US

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) EXC-2180 - 390900677Deutsche Forschungsgemeinschaft (German Research Foundation) ZUK 63
6 · The paper itself

Abstract

The staging and local management of breast cancer involves the evaluation of the extent and completeness of excision of both the invasive carcinoma component and also the intraductal component or ductal carcinoma in situ. When both invasive ductal carcinoma and coincident ductal carcinoma in situ are present, assessment of the extent and localization of both components is required for optimal therapeutic planning. We have used a mouse model of breast cancer to evaluate the feasibility of applying molecular imaging to assess the local status of cancers in vivo. Multi-tracer positron emission tomography (PET) and magnetic resonance imaging (MRI) characterize the transition from premalignancy to invasive carcinoma. PET tracers for glucose consumption, membrane synthesis, and neoangiogenesis in combination with a Gaussian mixture model-based analysis reveal image-derived thresholds to separate the different stages within the whole-lesion. Autoradiography, histology, and quantitative image analysis of immunohistochemistry further corroborate our in vivo findings. Finally, clinical data further support our conclusions and demonstrate translational potential. In summary, this preclinical model provides a platform for characterizing multistep tumor progression and provides proof of concept that supports the utilization of advanced protocols for PET/MRI in clinical breast cancer imaging.

Identifiers

PMID35332139
PMCPMC8948294
OpenAlexW4221063363

What OpenQuestion holds

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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 OpenQuestion graph.