Evidence map›Paper›PMID 41928836›Full record

ArticleImaging science in dentistry2026

Virtual monoenergetic imaging for metal artifact reduction in dental implant surgery using photon-counting detector computed tomography.

Adib Al-Haj Husain, Victor Mergen, Thomas Sartoretti, Nadin Al-Haj Husain, Sebastian Winklhofer, Hatem Alkadhi, Bernd Stadlinger, Harald Essig, Silvio Valdec

Abstract read
In one paragraph

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

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

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.ORCID https://orcid.org/0000-0001-7895-1461
Victor MergenDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4544-4804
Thomas SartorettiDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4812-987X
Nadin Al-Haj HusainUnit for Practice-Based Research, School of Dental Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-4928-0018
Sebastian WinklhoferDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1581-3592
Hatem AlkadhiDiagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-2581-2166
Bernd StadlingerClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-5044-7052
Harald EssigDepartment of Cranio-Maxillofacial and Oral Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-1307-0599
Silvio ValdecClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-8029-180X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This Materials and Methods: Twelve implants from various manufacturers were placed in 6 pig mandibles and scanned with PCD-CT. VMIs were reconstructed at energy levels from 70 keV to 150 keV in 20-keV increments. Three readers with varying experience qualitatively assessed the image quality, artifact burden, and diagnostic interpretability of peri-implant soft and hard tissues using a 5-point discrete visual scale. Objective analyses included quantitative line profile analysis of implant-induced artifacts. Descriptive statistics were calculated, and inter-reader agreement was assessed using percentage agreement and the Krippendorff alpha coefficient. Results: Qualitative analysis demonstrated excellent image quality for VMIs at ≥110 keV (median=5), with minimal artifacts observed at 130-150 keV. In contrast, lower-energy VMIs (70-90 keV) showed inferior performance due to artifact-related limitations in diagnostic interpretability. Inter-reader agreement ranged from moderate to perfect, with perfect reliability (α=1) for VMIs ≥110 keV. Quantitative line-profile analysis confirmed reduced artifact burden at higher energy levels, particularly for VMIs ≥110 keV. Conclusion: VMI at energy levels ≥110 keV on PCD-CT reduced dental implant-related metal artifacts and offered excellent image quality, including assessment of both peri-implant soft and hard tissues. These findings suggest that optimized PCD-CT VMI may enhance postoperative follow-up imaging. Future

Indexed as

ArtifactsDental ImplantsTomography, X-Ray Computed

Identifiers

PMID41928836
PMCPMC13040237

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.