Evidence map›Paper›PMID 25852011›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2015

Thoracic staging of non-small-cell lung cancer using integrated (18)F-FDG PET/MR imaging: diagnostic value of different MR sequences.

Benedikt Schaarschmidt, Christian Buchbender, Benedikt Gomez, Christian Rubbert, Florian Hild, Jens Köhler, Johannes Grueneisen, Henning Reis, Verena Ruhlmann, Axel Wetter and 3 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. [European journal of nuclear medicine and molecular imaging · 2023
    Article
  2. Article
  3. Review
  4. EJNMMI research · 2020
    Article
  5. Article
  6. Recent advances of PET imaging in clinical radiation oncology.Radiation oncology (London, England) · 2020
    Review
  7. FDG Whole-Body PET/MRI in Oncology: a Systematic Review.Nuclear medicine and molecular imaging · 2017
    Review
  8. Thoracic staging withEuropean radiology · 2017
    Article
  9. 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

13 authors at 3 institutions in 1 country.

Benedikt SchaarschmidtDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, Moorenstr. 5, 40225, Duesseldorf, Germany, benedikt.schaarschmidt@med.uni-duesseldorf.de.
Christian Buchbender
Benedikt Gomez
Christian Rubbert
Florian Hild
Jens Köhler
Johannes Grueneisen
Henning Reis
Verena Ruhlmann
Axel Wetter
Harald H Quick
Gerald Antoch
Philipp Heusch
Heinrich Heine University Düsseldorf · DEUniversity of Duisburg-Essen · DEEssen University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare the accuracy of different MR sequences in simultaneous PET/MR imaging for T staging in non-small-cell lung cancer in relation to histopathology.

methodsThe study included 28 patients who underwent dedicated thoracic PET/MR imaging before tumour resection. Local tumour staging was performed separately by three readers with each of the following MR sequences together with PET: transverse T2 BLADE, transverse non-enhanced and contrast-enhanced T1 FLASH, T1 3D Dixon VIBE in transverse and coronal orientation, coronal T2 HASTE, and coronal TrueFISP. The staging results were compared with histopathology after resection as the reference standard. Differences in the accuracy of T staging among the MR sequences were evaluated using McNemar's test. Due to multiple testing, Bonferroni correction was applied to prevent accumulation of α errors; p < 0.0024 was considered statistically significant.

resultsCompared with histopathology, T-staging accuracy was 69% with T2 BLADE, 68% with T2 HASTE, 59% with contrast-enhanced T1 FLASH, 57% with TrueFISP, 50 % with non-enhanced T1 FLASH, and 45% and 48% with T1 3D Dixon VIBE in transverse and coronal orientation, respectively. Staging accuracy with T2 BLADE was significantly higher than with non-enhanced T1 FLASH and with T1 3D Dixon VIBE in transverse and coronal orientations (p < 0.0024). T2 HASTE had a significantly higher T-staging accuracy than transverse T1 3D-Dixon-VIBE (p < 0.0024).

conclusionTransverse T2 BLADE images provide the highest accuracy for local tumour staging and should therefore be included in dedicated thoracic PET/MR protocols. As T1 3D Dixon VIBE images acquired for attenuation correction performed significantly worse, this sequence cannot be considered sufficiently accurate for local tumour staging in the thorax.

Indexed as

Fluorodeoxyglucose F18Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyRadiopharmaceuticalsAgedCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm StagingTomography, X-Ray ComputedFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID25852011
OpenAlexW1969364568

What OpenQuestion holds

Textmetadata
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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.