Evidence map›Paper›PMID 29963483›Full record

ArticleImaging science in dentistry2018

Is the diagnosis of calcified laryngeal cartilages on panoramic radiographs possible?

Leyla Berna Çağırankaya, Nursel Akkaya, Gökçen Akçiçek, Hatice Boyacıoğlu Doğru

Open access · goldAbstract read
In one paragraph

Article in Imaging science in dentistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Leyla Berna ÇağırankayaDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University, Ankara, Turkey.
Nursel AkkayaDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University, Ankara, Turkey.
Gökçen AkçiçekDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University, Ankara, Turkey.
Hatice Boyacıoğlu DoğruDepartment of Dentomaxillofacial Radiology, Faculty of Dentistry, Hacettepe University, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDetecting laryngeal cartilages (triticeous and thyroid cartilages) on panoramic radiographs is important because they may be confused with carotid artery calcifications in the bifurcation region, which are a risk factor for stroke. This study assessed the efficiency of panoramic radiography in the diagnosis of calcified laryngeal cartilages using cone-beam computed tomography (CBCT) as the reference standard. MATERIALS AND

methodsA total of 312 regions (142 bilateral, 10 left, 18 right) in 170 patients (140 males, 30 females) were examined. Panoramic radiographs were examined by an oral and maxillofacial radiologist with 11 years of experience. CBCT scans were reviewed by 2 other oral and maxillofacial radiologists. The kappa coefficient (κ) was calculated to determine the level of intra-observer agreement and to determine the level of agreement between the 2 methods. Diagnostic indicators (sensitivity, specificity, accuracy, and false positive and false negative rates) were also calculated.

resultsEighty-two images were re-examined to determine the intra-observer agreement level, and the kappa coefficient was calculated as 0.709 (

conclusionIn most cases, calcified laryngeal cartilages could be diagnosed on panoramic radiographs. However, due to variation in the calcifications, diagnosis may be difficult.

Indexed as

Cone-Beam Computed TomographyDiagnostic ImagingLaryngeal CartilagesRadiography, Panoramic

Identifiers

PMID29963483
PMCPMC6015924
OpenAlexW2809148692

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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.