Evidence map›Paper›PMID 25573632›Full record

ReviewEuropean journal of nuclear medicine and molecular imaging2015

Image-derived biomarkers and multimodal imaging strategies for lung cancer management.

Alexander W Sauter, Nina Schwenzer, Mathew R Divine, Bernd J Pichler, Christina Pfannenberg

Abstract readReview
PubMed Publisher
In one paragraph

Review 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Texture Features ofJournal of clinical medicine · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Accurate Tumor DelineationFrontiers in oncology · 2021
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. European journal of nuclear medicine and molecular imaging · 2016
    Article
  14. Article
  15. The promise of multiparametric imaging in oncology: how do we move forward?European journal of nuclear medicine and molecular imaging · 2016
    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

5 authors.

Alexander W SauterDiagnostic and Interventional Radiology, Department of Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany.
Nina Schwenzer
Mathew R Divine
Bernd J Pichler
Christina Pfannenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small-cell lung cancer is the most common type of lung cancer and one of the leading causes of cancer-related death worldwide. For this reason, advances in diagnosis and treatment are urgently needed. With the introduction of new, highly innovative hybrid imaging technologies such as PET/CT, staging and therapy response monitoring in lung cancer patients have substantially evolved. In this review, we discuss the role of FDG PET/CT in the management of lung cancer patients and the importance of new emerging imaging technologies and radiotracer developments on the path to personalized medicine.

Indexed as

Multimodal ImagingPositron-Emission TomographyRadiopharmaceuticalsAnimalsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsMagnetic Resonance ImagingTomography, X-Ray ComputedRadiopharmaceuticals

Identifiers

What OpenQuestion holds

Textmetadata
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.