Evidence map›Paper›PMID 34205946›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Nuclear Magnetic Resonance Microimaging for the Qualitative Assessment of Root Canal Treatment: An Ex Vivo Preliminary Study.

Silvia Capuani, Gianluca Gambarini, Renzo Guarnieri, Giulia Di Pietro, Luca Testarelli, Dario Di Nardo

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Magnetic Resonance Imaging for Dental Pulp Assessment: A Comprehensive Review.Journal of magnetic resonance imaging : JMRI · 2025
    Review
  2. Review
  3. Article
  4. An Update on Advanced Diagnostic Imaging in Dentistry.Diagnostics (Basel, Switzerland) · 2022
    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 at 2 institutions in 1 country.

Silvia CapuaniCNR ISC c/o Physics Department, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7863-1801
Gianluca GambariniDepartment of Oral and Maxillo Facial Sciences, Sapienza Università di Roma, 00161 Rome, Italy.
Renzo GuarnieriDepartment of Oral and Maxillo Facial Sciences, Sapienza Università di Roma, 00161 Rome, Italy.ORCID 0000-0003-1449-8340
Giulia Di PietroCNR ISC c/o Physics Department, Sapienza University of Rome, 00185 Rome, Italy.
Luca TestarelliDepartment of Oral and Maxillo Facial Sciences, Sapienza Università di Roma, 00161 Rome, Italy.ORCID 0000-0003-3904-3000
Dario Di NardoDepartment of Oral and Maxillo Facial Sciences, Sapienza Università di Roma, 00161 Rome, Italy.ORCID 0000-0002-5054-0828
Sapienza University of Rome · ITCentro Ricerche Enrico Fermi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the potential ability of nuclear magnetic resonance micro-imaging (mMRI) to visualize and identify soft tissue debris and unfilled spaces inside radicular canals in endodontic treated extracted teeth, for understanding the causes of treatment failure. Toward this goal, multi-parametric mMRI and cone beam computed tomography (CBCT) were compared. METHODOLOGY: A non-recoverable root treated human tooth was extracted due to endodontic failure and excessive mobility. It was examined with both CBCT and mMRI: CBCT was performed with 0.125 mm voxel size (GXCB-500, Kavo-Gendex, Brea, CA, USA) and mMRI was performed with a spectrometer operating at 9.4T magnetic field (Bruker Avance-400, Bruker, Billerica, MA, USA). The mMRI images were obtained with a microimaging probe. Relaxation times (T1 and T2) and diffusion-weighted acquisition sequences were used to obtain multi-parametric maps of the extracted tooth (slice thickness of 200 µm and in plane resolution of 30 × 30 µm

resultsT1 and T2 maps identified unfilled spaces around and close to Gutta-percha cones instead of CBCT images that were not able to highlight this aspect. T1, T2 and apparent diffusion coefficient (ADC) assumed different values in dentine and in voids, characterized by different dimensions. Moreover, they were able to discriminate between infiltrations of water only and deposits of biological material. Because Gutta-percha cones are constituted of hard, non-porous material, they do not provide a signal and in mMRI images appear as zones of noise.

conclusionsUnlike the CBCT exam, mMRI can detect soft tissue debris and unfilled spaces inside radicular canals. Therefore, this in vitro study showed the potential of mMRI to evaluate the quality of the root canal treatment, suggesting its potential benefit in determining the causes of endodontic failure, without the use of ionizing radiation.

Indexed as

cone beam computed tomographyendodontic treatmentmagnetic resonance imagingMRI multi-parametric mapstooth micro-imaging

Identifiers

PMID34205946
PMCPMC8228494
OpenAlexW3171431155

What OpenQuestion holds

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LicenceCC BY
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.