Evidence map›Paper›PMID 26892471›Full record

ArticleClinical oral investigations2017

Prevalence and imaging characteristics of palatine tonsilloliths evaluated on 2244 pairs of panoramic radiographs and CT images.

Akira Takahashi, Chieko Sugawara, Takaharu Kudoh, Go Ohe, Natsumi Takamaru, Tetsuya Tamatani, Hirokazu Nagai, Youji Miyamoto

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Article in Clinical oral investigations, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

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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

17 citing papers in PubMed, 39 citations in OpenAlex.

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  9. Radiographic Detection of the Relationship between Tonsilloliths and Dental Plaque-Related Pathologies in a Series of Digital Panoramic Radiographs.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
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  13. Comparison of Panoramic Radiography and Cone-Beam Computed Tomography for the Detection of Tonsilloliths.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2020
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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

8 authors at 1 institution in 1 country.

Akira TakahashiDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan. atakahashi-dent@tokushima-u.ac.jp.ORCID http://orcid.org/0000-0002-2316-4345
Chieko SugawaraDepartment of Comprehensive Dentistry, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
Takaharu KudohDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Go OheDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Natsumi TakamaruDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Tetsuya TamataniDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Hirokazu NagaiDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Youji MiyamotoDepartment of Oral Surgery, Oral Sciences, Clinical Dentistry, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-18-15 Kuramoto-cho, Tokushima, 770-8504, Japan.
Tokushima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPalatine tonsilloliths incidentally detected on diagnostic imaging should be differentiated from pathologic calcifications to enable correct diagnosis and treatment. The aim of this study is to clarify the prevalence and imaging characteristics of palatine tonsilloliths on panoramic radiographs. MATERIALS AND

methodsWe retrospectively reviewed 2244 individuals who underwent pairs of consecutive panoramic radiography and computed tomography (CT) of the head and neck region. The imaging characteristics of palatine tonsilloliths on panoramic radiography were compared with the findings from CT, which was considered the gold standard.

resultsTonsilloliths were detected in 300 (13.4 %) and 914 (40.7 %) of the 2244 individuals on panoramic radiographs and CT, respectively. On panoramic radiographs, tonsilloliths were superimposed over the ramus of the mandible at the level coincident with and inferior to the soft palate in 176 (7.8 %) and 90 (4.0 %) individuals, respectively. Tonsilloliths were also superimposed over the surrounding soft tissue inferior to the body of the mandible, postero-inferior to the angle of the mandible, and posterior to the ramus of the mandible in 33 (1.5 %), 26 (1.2 %), and 28 (1.3 %) individuals, respectively. A significant correlation was observed between the detectability on panoramic radiographs and the size (Spearman r = 1.000) and number (Spearman r = 0.991) of tonsilloliths, as revealed by CT images.

conclusionsThe present results suggest that tonsilloliths are commonly detected on panoramic radiographs. Furthermore, they can be superimposed on both the mandible and the surrounding soft tissue. CLINICAL RELEVANCE: Clinicians should include tonsilloliths among the differential diagnoses when calcified bodies are detected on panoramic radiographs.

Indexed as

Radiography, PanoramicTomography, X-Ray ComputedAdultFemaleHumansLithiasisMaleMiddle AgedPalatine TonsilPrevalenceRetrospective StudiesComputed tomographyPalatinePanoramic radiographTonsillolith

Identifiers

PMID26892471
OpenAlexW2281027146

What OpenQuestion holds

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Registered trials

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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.