Evidence map›Paper›PMID 41928846›Full record

ArticleImaging science in dentistry2026

Development and assessment of an

Gabriela Salatino Liedke, Jennifer Christensen, Lucas Machado Maracci, Brian Hansen, Rubens Spin-Neto

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

5 authors.

Gabriela Salatino LiedkeSection for Oral Radiology, Department of Stomatology, Federal University of Santa Maria, Santa Maria, Brazil.ORCID https://orcid.org/0000-0002-0967-9617
Jennifer ChristensenSection for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0009-0007-0002-2161
Lucas Machado MaracciSection for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-4668-8130
Brian HansenCenter of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-6391-9407
Rubens Spin-NetoSection for Oral Radiology and Endodontics, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-9562-0610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study proposes an Materials and Methods: Four half-maxillae and 4 half-mandibles from human cadaveric donors were scanned using a ddMRI system with a dental-specific coil. Two pulse sequences ("anatomy" and "inflammation") were applied. Each specimen was imaged at 4 time points: immediately after PBS immersion and after 24, 48, and 72 hours of washing, totaling 64 images. Image quality was evaluated using signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and conspicuity of anatomical structures: cortical bone, medullary bone, root contour, soft tissue, and the sinus floor/mandibular canal. Conspicuity was rated by 3 observers and analyzed using the Cochran Q test (α=0.05). Results: Cortical bone, medullary bone, and the sinus floor were depicted in all images; root contours (91.1%) and soft tissue (85.9%) were visible in most images. PBS washing did not significantly impact conspicuity ( Conclusion: The proposed ddMRI protocol enabled consistent visualization of dentomaxillofacial structures in

Indexed as

AnatomyDentistryMagnetic Resonance Imaging

Identifiers

PMID41928846
PMCPMC13040226

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.