Evidence map›Paper›PMID 42405564›Full record

ArticleDento maxillo facial radiology2026

Image sharpening improves the visibility of reference points on low-dose lateral cephalometric radiographs: a phantom study.

Ikuho Kojima, Arata Ito, Yusuke Shimada, Naoko Tagaino Watanabe, Manami Ikawa, Shu Onodera, Hiroyasu Kanetaka, Masahiro Iikubo

Abstract read
In one paragraph

Article in Dento maxillo facial radiology, 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

8 authors.

Ikuho KojimaDepartment of Dental Informatics and Radiology, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.ORCID 0000-0001-9660-8245
Arata ItoDepartment of Orthodontics and Dentofacial Orthopedics, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.
Yusuke ShimadaDepartment of Dental Informatics and Radiology, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.
Naoko Tagaino WatanabeDepartment of Dental Informatics and Radiology, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.ORCID 0009-0004-3262-9839
Manami IkawaDepartment of Radiological Technology, Tohoku University Hospital, Sendai, Miyagi 980-8574, Japan.
Shu OnoderaDepartment of Radiological Technology, Tohoku University Hospital, Sendai, Miyagi 980-8574, Japan.ORCID 0000-0002-5761-6434
Hiroyasu KanetakaDepartment of Orthodontics and Dentofacial Orthopedics, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.
Masahiro IikuboDepartment of Dental Informatics and Radiology, Tohoku University Graduate School of Dentistry, Sendai, Miyagi 980-8575, Japan.ORCID 0000-0001-9255-2141

Funding

Japan Society for the Promotion of Science 24K02639Japan Society for the Promotion of Science 24K13234
6 · The paper itself

Abstract

This phantom study aimed to determine whether a novel non-artificial intelligence image-sharpening approach improves the visibility of reference points on low-dose lateral cephalometric radiographs. Lateral cephalometric radiographs were obtained using an adult human bone phantom at 100% of the routine dose. Low-dose imaging was performed using 60%, 40%, and 20% of the routine dose. Each low-dose image underwent a 2-level image-sharpening process using the Medical Image Enhancer software. Six reviewers evaluated the visibility of the 5 reference points in the first and second sets of sharpened and 100% radiation-dose images. Using Scheffé's method of paired comparisons, odds ratios (ORs) were reported as relative values for a standard cephalometric radiograph (100% radiation dose) to compare the visibility of reference points among imaging conditions. For the first set of mildly sharpened 60%-dose images, the ORs for the 4 reference points were >1.0, Point A (OR 1.12, P = .83), Nasion (OR 2.26, P = .11), posterior nasal spine (OR 2.35, P = .1), and incisal edge of the maxillary central incisor (OR 1.35, P = .53), indicating visibility comparable to or better than the 100%-dose images. For the second set of markedly sharpened images, rated visibility was significantly higher for all reference points at 60% and 40% doses and for several reference points at 20% dose. Image-sharpening algorithms improved the visibility of reference points on low-dose phantom radiographs, suggesting their technical feasibility as a post-acquisition approach for dose-reduced cephalometric imaging.

Indexed as

Anatomic LandmarksCephalometryPhantoms, ImagingRadiographic Image EnhancementHumansRadiation Dosagecephalometric radiographyimage processingradiation dose reduction

Identifiers

PMID42405564
PMCPMC13624509

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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.