Evidence map›Paper›PMID 38379025›Full record

ArticleScientific reports2024

Introducing a new auto edge detection technique capable of revealing cervical root resorption in CBCT scans with pronounced metallic artifacts.

Negar Khosravifard, Bardia Vadiati Saberi, Amir Khosravifard, Amirreza Hendi, Kimia Shadi, Sanaz Mihandoust, Zahra Yousefi, Tahereh Mortezaei, Mohammad Ebrahim Ghaffari

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

9 authors at 4 institutions in 1 country.

Negar KhosravifardDepartment of Oral and Maxillofacial Radiology, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran. ngrkhosravi@yahoo.com.ORCID 0000-0002-6746-5991
Bardia Vadiati SaberiDepartment of Periodontics, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Amir KhosravifardDepartment of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Amirreza HendiDepartment of Dental Prosthesis, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Kimia ShadiDepartment of Oral and Maxillofacial Radiology, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Sanaz MihandoustDepartment of Oral and Maxillofacial Radiology, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Zahra YousefiDepartment of Oral and Maxillofacial Radiology, Dental Caries Prevention Research Center, School of Dentistry, Qazvin University of Medical Sciences, Qazvin, Iran.
Tahereh MortezaeiDepartment of Oral and Maxillofacial Radiology, Dental Sciences Research Center, School of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
Mohammad Ebrahim GhaffariDepartment of Biostatistics and Epidemiology, QomUniversity of Medical Sciences, Qom, Iran.
Guilan University of Medical Sciences · IRQazvin University of Medical Sciences · IRQom University of Medical Science and Health Services · IRShiraz University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical resorption is a serious threat to the longevity of the teeth. In this study, the Canny edge-detection algorithm was applied on CBCT images to compare the accuracy of original and Canny views for diagnosing cervical resorption in endodontically treated teeth. Intracanal metallic posts were inserted in 60 extracted teeth being randomly divided into three groups: control, 0.5 mm, and 1 mm cervical resorption. CBCT scans of the teeth were presented to three observers in both original and Canny formats with the accuracy being determined by receiver operating characteristic (ROC) analysis. The DeLong test was used for paired comparisons with the significance level set at 0.05. The highest accuracy belonged to Canny images in 1 mm resorption, followed by Canny images in 0.5 mm resorption, original images in 1 mm resorption, and original images in 0.5 mm resorption, respectively. The Canny images were significantly more accurate in the diagnosis of 0.5 mm (p < 0.001) and 1 mm (p = 0.009) resorption. Application of the Canny edge-detection algorithm could be suggested as a new technique for facilitating the diagnosis of cervical resorption in teeth that are negatively affected by metallic artifacts.

Indexed as

Root ResorptionSpiral Cone-Beam Computed TomographyArtifactsCone-Beam Computed TomographyHumansTooth RootArtifactsComputer-assistedCone-beam computed tomographyEndodonticsImage processing

Identifiers

PMID38379025
PMCPMC10879123
OpenAlexW4391952777

What OpenQuestion holds

Textmetadata
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.