Evidence map›Paper›PMID 32080760›Full record

ArticleClinical oral investigations2020

Digital subtraction radiography in detection of vertical root fractures: accuracy evaluation for root canal filling, fracture orientation and width variables. An ex-vivo study.

Vasileios Kapralos, Andreas Koutroulis, Eleni Irinakis, Pantelis Kouros, Kleoniki Lyroudia, Ioannis Pitas, Georgios Mikrogeorgis

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Article in Clinical oral investigations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Machine Learning in Dentistry: A Scoping Review.Journal of clinical medicine · 2023
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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

7 authors at 1 institution in 1 country.

Vasileios KapralosDepartment of Endodontology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Dentistry Building, Aristotle University of Thessaloniki Campus, 54124, Thessaloniki, Greece. vasilis.kapralos@gmail.com.ORCID http://orcid.org/0000-0003-2234-7817
Andreas KoutroulisDepartment of Endodontology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Dentistry Building, Aristotle University of Thessaloniki Campus, 54124, Thessaloniki, Greece.
Eleni IrinakisDepartment of Endodontology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Dentistry Building, Aristotle University of Thessaloniki Campus, 54124, Thessaloniki, Greece.
Pantelis KourosDepartment of Operative Dentistry, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Kleoniki LyroudiaDepartment of Endodontology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Dentistry Building, Aristotle University of Thessaloniki Campus, 54124, Thessaloniki, Greece.
Ioannis PitasArtificial Intelligence and Information Analysis Laboratory, School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Georgios MikrogeorgisDepartment of Endodontology, School of Dentistry, Faculty of Health Sciences, Aristotle University of Thessaloniki, Dentistry Building, Aristotle University of Thessaloniki Campus, 54124, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEx-vivo evaluation of the detectability of vertical root fractures (VRFs) using digital subtraction radiography (DSR) and conventional digital periapical radiography (CDPR); investigation of the effect of root canal filling, x-ray angulation, and thickness of the VRF in the diagnostic accuracy. MATERIALS AND

methodsSixty root canals were mechanically prepared and radiographed either with a gutta-percha root canal filling or without, at 0

resultsNo significant differences in sensitivity, specificity, and the areas under the ROC curves (AUC) between the CDPR and DSR were detected (p > 0.05), except for root canal filled teeth where the AUC for DSR was higher (p < 0.05). Using DSR, a VRF was 1.3 times more likely to be diagnosed [95% confidence intervals (CI): 1.045-1.59; p = 0.018]. A correct diagnosis was 2.399 times more likely to occur in non-filled teeth regardless of the radiographic technique (95% CI 1.940-2.965; p = 0). The regression coefficients were positive for width and negative for angle.

conclusionsDSR showed a better diagnostic accuracy of VRFs compared with CDPR, in single root canal filled teeth. The angulation, the width, and the presence of a root canal filling affected the diagnostic potential. CLINICAL RELEVANCE: DSR is a cost- and time-effective imaging technique that could contribute in early diagnosis of VRFs.

Indexed as

Tooth FracturesCone-Beam Computed TomographyDental Pulp CavityGutta-PerchaHumansRadiography, Dental, DigitalRoot Canal Filling MaterialsRoot Canal ObturationTooth RootGutta-PerchaRoot Canal Filling MaterialsDental digital radiographyDiagnostic imagingDigital subtraction radiographyEndodonticsVertical root fracture

Identifiers

PMID32080760
OpenAlexW3008815498

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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.