Evidence map›Paper›PMID 34476552›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

Comparison of nodal staging between CT, MRI, and [

Janna Morawitz, Nils-Martin Bruckmann, Frederic Dietzel, Tim Ullrich, Ann-Kathrin Bittner, Oliver Hoffmann, Eugen Ruckhäberle, Svjetlana Mohrmann, Lena Häberle, Marc Ingenwerth and 9 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
6.0field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
    Guideline
  2. Pooled it
  3. AlEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Clinical PET/MR.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  5. Article
  6. Article
  7. The Diagnostic and Prognostic Value ofDiagnostics (Basel, Switzerland) · 2025
    Article
  8. Head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  9. Application ofDiagnostics (Basel, Switzerland) · 2025
    Article
  10. Comparison of [Frontiers in oncology · 2025
    Article
  11. Article
  12. [Insights into imaging · 2024
    Article
  13. Article
  14. Article
  15. The use of PET/MRI in radiotherapy.Insights into imaging · 2024
    Review
  16. Review
  17. Review
  18. The current role of nuclear medicine in breast cancer.The British journal of radiology · 2023
    Review
  19. Article
  20. Breast PET/MRI Hybrid Imaging and Targeted Tracers.Journal of magnetic resonance imaging : JMRI · 2023
    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

19 authors at 4 institutions in 1 country.

Janna MorawitzDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany. janna.morawitz@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0001-6694-247X
Nils-Martin BruckmannDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Frederic DietzelDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Tim UllrichDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Ann-Kathrin BittnerDepartment of Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Oliver HoffmannDepartment of Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Eugen RuckhäberleDepartment of Gynecology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany.
Svjetlana MohrmannDepartment of Gynecology, Medical Faculty, University Dusseldorf, 40225, Dusseldorf, Germany.
Lena HäberleInstitute of Pathology, Medical Faculty, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany.
Marc IngenwerthInstitute of Pathology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), Essen, Germany.
Daniel Benjamin AbrarDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Lino Morris SawickiDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Katharina BreuckmannDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Wolfgang Peter FendlerDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany.
Ken HerrmannDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany.
Christian BuchbenderDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Lale UmutluDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, 45147, Essen, Germany.
Julian KirchnerDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstrasse 5, 40225, Dusseldorf, Germany.
Heinrich Heine University Düsseldorf · DEUniversity of Duisburg-Essen · DEDeutschen Konsortium für Translationale Krebsforschung · DEDüsseldorf University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare CT, MRI, and [ MATERIALS AND

methodsOne hundred eighty-two patients (mean age 52.7 ± 11.9 years) were included in this prospective double-center study. Patients underwent dedicated contrast-enhanced chest/abdomen/pelvis computed tomography (CT) and whole-body ([

resultsOn a patient-based analysis, PET/MRI correctly detected significantly more nodal positive patients than MRI (p < 0.0001) and CT (p < 0.0001). No statistically significant difference was seen between CT and MRI. PET/MRI detected 193 lesions in 75 patients (41.2%), while MRI detected 123 lesions in 56 patients (30.8%) and CT detected 104 lesions in 50 patients, respectively. Differences were statistically significant on a lesion-based analysis (PET/MRI vs. MRI, p < 0.0001; PET/MRI vs. CT, p < 0.0001; MRI vs. CT, p = 0.015). Subgroup analysis for different lymph node stations showed that PET/MRI detected significantly more lymph node metastases than MRI and CT in each location (axillary levels I-III, supraclavicular, mammary internal chain). MRI was superior to CT only in axillary level I (p = 0.0291).

conclusion[

Indexed as

Breast NeoplasmsFluorodeoxyglucose F18AdultFemaleHumansMagnetic Resonance ImagingMiddle AgedNeoplasm StagingPositron-Emission TomographyProspective StudiesRadiopharmaceuticalsSensitivity and SpecificityTomography, X-Ray ComputedFluorodeoxyglucose F18RadiopharmaceuticalsBreast cancerNodal stagingPET/MR

Identifiers

PMID34476552
PMCPMC8803812
OpenAlexW3198171854

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.