Evidence map›Paper›PMID 40214924›Full record

ArticleRadiological physics and technology2025

Optimization of imaging conditions for infant hip imaging using flat panel detectors.

Akira Suzuki, Yoshiaki Hirofuji, Noriaki Miyaji, Kentarou Funashima, Isami Takahashi

Abstract read
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In one paragraph

Article in Radiological physics and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Akira SuzukiDepartment of Radiology, Japanese Red Cross Sendai Hospital, 2-43-3 Yagiyama Honcho, Sendai, Miyagi, 982-8501, Japan. hokumeiryou@hotmail.co.jp.ORCID http://orcid.org/0000-0002-5266-957X
Yoshiaki HirofujiDepartment of Radiological Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan.
Noriaki MiyajiDepartment of Radiological Sciences, Fukushima Medical University, 10-6 Sakaemachi, Fukushima-Shi, Fukushima, 960-8516, Japan.
Kentarou FunashimaDepartment of Radiology, Japanese Red Cross Sendai Hospital, 2-43-3 Yagiyama Honcho, Sendai, Miyagi, 982-8501, Japan.
Isami TakahashiDepartment of Radiology, Japanese Red Cross Sendai Hospital, 2-43-3 Yagiyama Honcho, Sendai, Miyagi, 982-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the optimal low-dose imaging conditions for infant hip radiography, using a commercially available infant phantom, and to identify conditions that are satisfactory to orthopedic surgeons, using a combination of low tube voltage, mAs, and Cu filters. Hip joint radiographs were taken with Cu filters (0, 0.1, 0.2 mm) at tube voltages from 40 to 70 kV in 5 kV increments. Seven radiographers graded the images, and the five images with the lowest dose and an average score of 3.5 or higher were selected. These images were then subjected to paired comparisons by six orthopedic surgeons. The selected acquisition settings all used low tube voltages (40-55 kV), and none used a 0.2-mm Cu filter. The optimal imaging condition was identified as 40 kV, 5 mAs, and a 0.1-mm Cu filter, giving the patient entrance surface dose of 11 μGy, which was the lowest dose investigated and was highly preferred by the orthopedic surgeons. Low-dose imaging using a Cu filter at low tube voltage can produce images that are satisfactory for orthopedic surgeons, with lower radiation doses than previously possible.

Indexed as

HipHip JointRadiographyHumansInfantPhantoms, ImagingRadiation DosageCu filterFlat panel detectorInfant hip imagingLow tube voltage

Identifiers

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Registered trials

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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.