Evidence map›Paper›PMID 24980674›Full record

ReviewDeutsches Arzteblatt international2014

Diagnostic imaging modalities in head and neck disease.

Florian Dammann, Friedrich Bootz, Mathias Cohnen, Stefan Hassfeld, Marcos Tatagiba, Sabrina Kösling

Open access · greenAbstract readReview
In one paragraph

Review in Deutsches Arzteblatt international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Diagnostic yield of MRI for pediatric hearing loss: a systematic review.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2015
    Pooled it
  2. Artificial intelligence in dysphagia assessment: evaluating lingual muscle composition in head and neck cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Sinogenic Orbital Complications.Deutsches Arzteblatt international · 2022
    Article
  9. Article
  10. Learning Head and Neck Anatomy Through a Radiological Imaging Platform.MedEdPORTAL : the journal of teaching and learning resources · 2022
    Article
  11. Article
  12. Article
  13. Article
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  15. [Neuroradiology in ophthalmology].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2019
    Review
  16. Review
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  18. Review
  19. Article
  20. [Standardization and modeling of surgical processes].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Florian DammannInstitute of Radiology and Nuclear Medicine, Alb Fils Kliniken, Klinik am Eichert, Göppingen, Department of Otolaryngology (ENT)/ Head & Neck Surgery, Bonn University Hospital, Institute of Clinical Radiology, Städtische Kliniken Neuss-Lukaskrankenhaus-GmbH, Neuss, Department of Craniomaxillofacial Surgery-Plastic Surgery-Universität Witten/Herdecke, Klinikum Dortmund gGmbH, Klinikzentrum Nord, Department of Neurosurgery, University Hospital Tübingen, Department of Diagnostic Radiology, Martin Luther University Halle-Wittenberg.
Friedrich Bootz
Mathias Cohnen
Stefan Hassfeld
Marcos Tatagiba
Sabrina Kösling
Alb Fils Kliniken · DEMartin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecause of the complex anatomy of the head and neck region, conventional projection radiography alone is unreliable and carries a high risk of misdiagnosis. The poor risk-benefit ratio of conventional radiography has led to their replacement by tomographic imaging for nearly all studies in this region.

methodThis review is based on pertinent articles retrieved by a selective search in the PubMed database (January 1980 to May 2013) as well as on the relevant guidelines from Germany and abroad.

resultsThe indication for diagnostic imaging in the anatomically complex head and neck region should be established for a specific type of imaging study on the basis of a thorough clinical examination. Conventional films, though easy to obtain, often cannot answer the diagnostic question and may yield confusing information leading to misdiagnosis. Computed tomography (CT) has the best risk-benefit profile and a high diagnostic value, but low-dose protocols have not yet been put into use in all centers. Magnetic resonance imaging (MRI) is best for bone and soft-tissue diagnosis, but consumes more resources. Digital volume tomography (DVT) is another type of three-dimensional, sectional imaging with high local resolution; the associated radiation exposure and image quality are generally both low, but may vary depending on the apparatus used. DVT cannot be used to evaluate the soft tissues. Ultrasonography can be used to evaluate superficial structures in the head and neck region; nuclear imaging can be used to evaluate thyroid disease and cancer.

conclusionInflammatory, traumatic, and neoplastic diseases of the head and neck are best evaluated with cross-sectional imaging (CT, MRI) in accordance with current guidelines. Conventional x-rays should, in general, only be used for dental evaluation, with rare exceptions.

Indexed as

Craniocerebral TraumaDiagnostic ImagingHeadHead and Neck NeoplasmsHumansInflammationMagnetic Resonance ImagingNeckNeck InjuriesTomography, X-Ray Computed

Identifiers

PMID24980674
PMCPMC4078224
OpenAlexW2144083007

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.