Evidence map›Paper›PMID 36972896›Full record

ArticleJournal of endodontics2023

Sensitivity and Specificity of MRI versus CBCT to Detect Vertical Root Fractures Using MicroCT as a Reference Standard.

Beth R Groenke, Djaudat Idiyatullin, Laurence Gaalaas, Ashley Petersen, Alan Law, Brian Barsness, Mathew Royal, Alex Fok, Donald R Nixdorf

Open access · greenAbstract read
In one paragraph

Article in Journal of endodontics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Magnetic Resonance Imaging for Dental Pulp Assessment: A Comprehensive Review.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  3. Review
  4. Article
  5. Review
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

9 authors at 4 institutions in 1 country.

Beth R GroenkeDivision of TMD and Orofacial Pain, School of Dentistry, University of Minnesota, Minneapolis, Minnesota. Electronic address: groenke@umn.edu.
Djaudat IdiyatullinThe Center for Magnetic Resonance Research, Minneapolis, Minnesota.
Laurence GaalaasDepartment of Radiology, School of Dentistry, University of Minnesota, Minneapolis, Minnesota.
Ashley PetersenDivision of Biostatistics, University of Minnesota, Minneapolis, Minnesota.
Alan LawPrivate Practice, The Dental Specialists, Woodbury, Minnesota; Division of Endodontics, School of Dentistry, University of Minnesota, Minneapolis, Minnesota.
Brian BarsnessPrivate Practice, HealthPartners, St Paul, Minnesota.
Mathew RoyalPrivate Practice, The Dental Specialists, Roseville, Minnesota.
Alex FokMinnesota Dental Research Center for Biomaterials and Biomechanics, Minneapolis, Minnesota.
Donald R NixdorfDivision of TMD and Orofacial Pain, School of Dentistry, University of Minnesota, Minneapolis, Minnesota; Departments of Radiology & Neurology, Medical School, University of Minnesota, Minneapolis, Minnesota.
University of Minnesota · USHealthPartners · USMidwest Orthopaedic Research Foundation · USResonance Research (United States) · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
4 Tesla Human MRI/MRS Console UpgradeS10RR023730 · NCRR · UNIVERSITY OF MINNESOTA · PI GARWOOD, MICHAEL G · 2007 to 2007
$500k
NCATS NIH HHS UL1 TR002494NCI NIH HHS R01 CA241159NCRR NIH HHS S10 RR023730NIBIB NIH HHS P41 EB027061
6 · The paper itself

Abstract

introductionVertical root fracture (VRF) in root-canal-treated teeth frequently results in tooth loss, partly because VRFs are difficult to diagnose and when detected the fracture is often beyond the point of preservation with surgical intervention. Nonionizing magnetic resonance imaging (MRI) has demonstrated the ability to detect small VRFs, but it is unknown how its diagnostic capabilities compare with the current imaging standard for VRF detection, cone-beam computed tomography (CBCT). This investigation aimed to compare the sensitivity and specificity between MRI and CBCT for detecting VRF, using micro-computed tomography (microCT) as a reference.

methodsA total of 120 extracted human tooth roots were root canal treated using common techniques, and VRFs were mechanically induced in a proportion. Samples were imaged using MRI, CBCT, and microCT. Axial MRI and CBCT images were examined by 3 board-certified endodontists, who evaluated VRF status (yes/no) and gave a confidence assessment for that decision, from which a receiver operating characteristic curve was generated. Intra- and inter-rater reliability were calculated, sensitivity and specificity, and area under the curve.

resultsIntra-rater reliability was 0.29-0.48 for MRI and 0.30-0.44 for CBCT. Inter-rater reliability for MRI was 0.37 and for CBCT 0.49. Sensitivity was 0.66 (95% confidence interval [CI], 0.53-0.78) and 0.58 (95% CI, 0.45-0.70), and specificity 0.72 (95% CI, 0.58-0.83) and 0.87 (95% CI, 0.75-0.95) for MRI and CBCT, respectively. Area under the curve was 0.74 (95% CI, 0.65-0.83) for MRI and 0.75 (95% CI, 0.66-0.84) for CBCT.

conclusionsThere was no significant difference in sensitivity or specificity between MRI and CBCT in detecting VRF, despite the early-stage development of MRI.

Indexed as

Spiral Cone-Beam Computed TomographyTooth FracturesCone-Beam Computed TomographyHumansMagnetic Resonance ImagingReproducibility of ResultsSensitivity and SpecificityTooth RootX-Ray MicrotomographyDiagnosisMRIpainroot fractureSWIFTtooth

Identifiers

PMID36972896
PMCPMC10330038
OpenAlexW4360838310

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.