Evidence map›Paper›PMID 37427694›Full record

ArticleDento maxillo facial radiology2023

Application of metal artifact reduction algorithm for CBCT diagnosis of temporary anchorage device-tooth root contact: inadequate to reduce false-positive rate.

Victoria McLaughlin, Jie Liu, Sonya Kalim, Kristin Nguyen, Do-Gyoon Kim, Zongyang Sun

Abstract read
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Article in Dento maxillo facial radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Bioinformation · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Victoria McLaughlinDivision of Orthodontics, College of Dentistry, Ohio State University, Columbus, OH, United States.
Jie LiuDivision of Orthodontics, College of Dentistry, Ohio State University, Columbus, OH, United States.
Sonya KalimDivision of Oral and Maxillofacial Radiology, College of Dentistry, Ohio State University, Columbus, Ohio, United States.
Kristin NguyenDivision of Orthodontics, College of Dentistry, Ohio State University, Columbus, OH, United States.
Do-Gyoon KimDivision of Orthodontics, College of Dentistry, Ohio State University, Columbus, OH, United States.
Zongyang SunDivision of Orthodontics, College of Dentistry, Ohio State University, Columbus, OH, United States.ORCID 0000-0003-2046-3662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIt was recently found that when cone beam computed tomography (CBCT) was used to examine temporary anchorage device (TAD)-tooth root contact, it tends to yield high false-positive (FP) diagnoses. This study investigated whether application of a metal artifact reduction (MAR) algorithm or reducing CBCT scan voxel-size can remediate this problem.

methods18 fresh pig cadaver mandibles underwent TAD placement bilaterally at first molar lingual furcation regions. CBCT scans were taken under varied MAR (absence, presence) and voxel-size (400 µm, 200 µm) settings. Then, TADs were removed and a micro-CT scan (27 µm voxel-size) of the TAD placement site was performed. Three raters, blinded of CBCT scan setting, independently diagnosed whether TADs were in contact with roots. The reliability and accuracy of CBCT diagnoses using micro-CT as the gold-standard were statistically examined.

resultsGenerally, CBCT diagnoses had intrarater (Cohen's κ: 0.54-1) and interrater (Fleiss' κ: 0.73-0.81) reliability, within the moderate to excellent range, which did not vary with MAR setting or scan voxel-size. For diagnostic accuracy, FP rate among all raters was mostly in the 15-25% range and did not change with MAR or scan voxel-size settings (McNemar tests,

conclusionsWhen using CBCT to diagnose possible TAD-root contact, applying a currently available Planmeca MAR algorithm or reducing CBCT scan voxel-size from 400 µm to 200 µm may not decrease FP rate. Further optimization of the MAR algorithm for this purpose may be needed.

Indexed as

ArtifactsSpiral Cone-Beam Computed TomographyAlgorithmsAnimalsCone-Beam Computed TomographyReproducibility of ResultsSwineTooth RootCBCTfalse positive diagnosismetal artifact reductionTADs

Identifiers

PMID37427694
PMCPMC10461258

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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.