Evidence map›Paper›PMID 29492175›Full record

ArticleThe open dentistry journal2018

Impact of Cone Beam Computed Tomography Dose in Pre-Surgical Implant Analysis.

Nabil El Sahili, Ibrahim Nasseh, Antoine Berberi, Sandra David-Tchouda, Sophie Thoret, Thomas Fortin

Abstract read
In one paragraph

Article in The open dentistry journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Nabil El SahiliSchool of Dentistry, Lebanese University, Beirut, Lebanon.
Ibrahim NassehDepartment of Oral & Maxillofacial Radiology, School of Dentistry, Lebanese University, Beirut, Lebanon.
Antoine BerberiMedico-Economic Evaluation Unit, University Hospital of Grenoble, Grenoble, France.
Sandra David-TchoudaMedico-Economic Evaluation Unit, University Hospital of Grenoble, Grenoble, France.
Sophie ThoretInvestigation Clinical Center of Grenoble, INSERM, Paris, France.
Thomas FortinDepartment of Oral Surgery, Dental University of Lyon, University Claude Bernard, Lyon 1, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCone-Beam Computed Tomography (CBCT) produces vital information required for the accurate and prudent placement of dental implants. Lack of standardization between CBCT machines may result in unsafe patient exposure to harmful radiation; higher doses are not necessarily associated with improved image quality.

aimThe study aimed to assess the influence of low- and high-dose milliamperage settings on CBCT images for objective and subjective implant planning.

methodsTwo dry skulls (4 hemi-maxillary segments of the maxilla and 4 hemi-maxillary segments of the mandible) were scanned under low (2 mA) and high (6.3 mA) dosage settings using a CBCT (Carestream CS 9300). Cross-sectional slices of both image qualities were evaluated by five expert clinicians, for image quality for implant planning and objective bone measurements.

resultsThere were no significant differences in bone measurements taken on high or low dose images (

conclusionReduction in milliamperage did not affect diagnostic image quality for objective bone measurements and produced sufficient intra-rater reliability for qualitative assessment; therefore dose reduction can be achieved without compromising diagnostic decision- making.

Indexed as

Cone-beam computed tomographyHemi Maxillary segments (HM)Image qualityImplant-placement planningPosterior mandibular implantRadiation dose alteration

Identifiers

PMID29492175
PMCPMC5814949

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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.