Evidence map›Paper›PMID 40102564›Full record

ArticleScientific reports2025

Three-dimensional analysis of root canal curvature in maxillary premolars using CBCT images.

Hui Jeong, Kug Jin Jeon, Sang-Sun Han

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

3 authors.

Hui Jeong *Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Kug Jin Jeon *Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Sang-Sun HanDepartment of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea. SSHAN@yuhs.ac.

Funding

National Research Foundation of Korea NRF-2022R1A2B5B0100251713
6 · The paper itself

Abstract

Understanding the root canal system is essential for success in root canal therapy (RCT). Two-dimensional (2D) images, such as panoramic and periapical radiographs, provide limited information on the superimposition of structures. This study aimed to analyze the root canal of maxillary premolars on CBCT using a three-dimensional (3D) canal navigation tool. A virtual 3D root canal was created by connecting the root canal center points of 400 premolars, and the canal type (single or double) was classified, and the most curved point (MCP) was designated. The curvature at the MCP in each canal was automatically calculated using the radius (R) value of the tangent circle. A total of 99.5% of first and 88.0% of second premolars had double canals of buccal and palatal. The mean R value of the MCPs was 1.50 mm for first and 1.58 mm for second premolars. Most MCPs were located in the apical part, but 12.1-35.2% of those in double canals were located in the middle or coronal part. 3D analysis tools on CBCT provide accurate information on the root canal system including the canal curvature, thereby increasing the success rate of RCT.

Indexed as

BicuspidCone-Beam Computed TomographyDental Pulp CavityImaging, Three-DimensionalMaxillaAdultFemaleHumansMaleRoot Canal TherapyCone-beam computed tomographyNavigationRoot canal therapySoftwareThree-dimensional imaging

Identifiers

PMID40102564
PMCPMC11920239

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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.