Evidence map›Paper›PMID 41145786›Full record

ArticleScientific reports2025

Photon-counting CT outperforms dental CBCT in detecting small accessory canals in root-filled teeth in a phantom study.

Stephan Rau, Alexander Rau, Friederike Lang, Anna Fink, Jakob Weiß, Elias Kellner, Fabian Bamberg, Britta A Jung, Rainer Schmelzeisen, Martin Pichotka and 3 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

13 authors.

Stephan RauDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. stephan.rau@uniklinik-freiburg.de.
Alexander RauDepartment of Neuroradiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Friederike LangDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Anna FinkDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Jakob WeißDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Elias KellnerDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Britta A JungDepartment of Orthodontics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Rainer SchmelzeisenDepartment of Oral and Maxillofacial Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Martin PichotkaDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Markus AltenburgerDepartment of Orthodontics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Maximilian Frederik Russe *Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Wiebke Semper-Hogg *Department of Oral and Maxillofacial Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate visualization of dental structures in root-filled teeth is critical for endodontic assessment but challenging due to artifacts from root canal (RC) fillings. This study compares photon-counting-detector CT (PCD-CT) and cone-beam CT (CBCT) for detecting small accessory canals in the presence of RC fillings. A phantom model with four bovine teeth containing RC fillings and five artificial accessory canals (1000-200 μm) per tooth was embedded in a bovine rib. The phantom was scanned with clinical PCD-CT (ultra-high-resolution protocol) and dental CBCT (endodontic protocol). Canal visibility was evaluated using signal-to-noise criteria, and canal diameters were compared with micro-CT measurements, serving as the reference. Blooming artifacts from RC fillings were quantified using the full width at half maximum (FWHM) of attenuation profiles. PCD-CT detected all canals down to 400 μm and 81.5% at 200 μm, while CBCT reliably detected canals ≥ 800 μm, with detection dropping to 47.2% at 400 μm and none at 200 μm. Measurement errors for canal diameters were lower with PCD-CT. Artifact widths varied between modalities, with no clear superiority. PCD-CT provided higher detectability and measurement fidelity for small accessory canals in root-filled teeth compared to a dental CBCT, with similar filling-related blooming, supporting the potential of PCD-CT in post-treatment endodontic imaging.

Indexed as

Cone-Beam Computed TomographyDental Pulp CavityAnimalsArtifactsCattlePhantoms, ImagingPhotonsX-Ray MicrotomographyCBCTPhoton-counting CTPhoton-counting detectorsTomographyX-ray computed

Identifiers

PMID41145786
PMCPMC12559294

What Socratic 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 Socratic graph.