Evidence map›Paper›PMID 42033927›Full record

ArticleInternational dental journal2026

Photon-Counting Detector CT-Based Virtual Monoenergetic Imaging With Metal Artifact Reduction for Endodontic Diagnostics.

Adib Al-Haj Husain, Selinay Dogan, Victor Mergen, Tristan T Demmert, Hatem Alkadhi, Thomas Flohr, Harald Essig, Bernd Stadlinger, Egon Burian

Abstract read
In one paragraph

Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Adib Al-Haj HusainDepartment of Cranio-Maxillofacial and Oral Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Clinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland; Department of Cranio-Maxillofacial Surgery, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands. Electronic address: adib.al-hajhusain@usz.ch.
Selinay DoganClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.
Victor MergenDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Tristan T DemmertDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Hatem AlkadhiDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Thomas FlohrDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands.
Harald EssigDepartment of Cranio-Maxillofacial and Oral Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Bernd StadlingerClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.
Egon BurianDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis ex vivo study aimed to determine the optimal energy level for virtual monoenergetic imaging (VMI) using photon-counting detector computed tomography (PCD-CT) and to evaluate the effectiveness of iterative metal artifact reduction (iMAR) in assessing simulated endodontic challenges and complications.

methodsSixteen extracted third molars were simulated with one of eight distinct endodontic diagnostic challenges and imaged using PCD-CT at radiation doses equivalent to standard-dose cone-beam CT. VMIs were reconstructed from 70-190 keV at 10 keV increments, both with and without iMAR. Diagnostic accuracy, depiction quality of endodontic challenges, artifact severity, and visualization of key endodontic anatomical structures were independently assessed by 2 observers using a 5-point visual analogue scale (1 = least favourable, 5 = most favourable). Descriptive statistics were calculated, and inter-reader agreement was analysed using Krippendorff's alpha coefficient.

resultsVMIs achieved excellent diagnostic accuracy (97%) and high-quality visualization of endodontic challenges (median: 5, IQRs: 4-5 or 4.25-5; α = 0.63-1.00) across the entire reconstructed energy spectrum (70-190 keV), with minimal artifacts, particularly at ≥ 110 keV (α = 1.0). Task-specific analysis demonstrated optimal visualization of caries at 70-80 keV and fractured files at 70-100 keV. For other pathologies, VMI at ≥100 keV effectively reduced artifacts without compromising anatomical detail. IMAR did not improve image quality and consistently reduced diagnostic performance.

conclusionsVMI from PCD-CT provides high-quality imaging with minimal artifacts, well-suited for indication-specific endodontic diagnostics. CLINICAL RELEVANCE: PCD-CT supports novel, indication-specific workflows in endodontic imaging, potentially enhancing diagnostic precision and long-term treatment follow-up.

Indexed as

ArtifactsEndodonticsTomography, X-Ray ComputedCone-Beam Computed TomographyHumansIn Vitro TechniquesMetalsMolar, ThirdPhotonsMetalsDental imagingEndodonticsMetal artifact reductionPhoton-counting detector computed tomographyVirtual monoenergetic imaging

Identifiers

PMID42033927
PMCPMC13127473

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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.