Evidence map›Paper›PMID 41712173›Full record

ArticleJournal of medical ultrasonics (2001)2026

Explorative research on image quantification methods for setup conditions and quality control of ultrasound devices in thyroid ultrasonography.

Chisato Takahashi, Yukio Kimura, Shoko Nishiyama, Yumiko Kurosu, Haruka Ejiri, Mahiro Asano, Satoshi Suzuki, Shinichi Suzuki, Hiroki Shimura

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Article in Journal of medical ultrasonics (2001), 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.

Chisato Takahashi *Department of Laboratory Medicine, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima-shi, Fukushima, 960-1295, Japan.
Yukio Kimura *Department of Laboratory Medicine, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima-shi, Fukushima, 960-1295, Japan.
Shoko NishiyamaRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Yumiko KurosuRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Haruka EjiriRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Mahiro AsanoRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Satoshi SuzukiRadiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan.
Shinichi SuzukiDepartment of Thyroid and Endocrinology, School of Medicine, Fukushima Medical University, Fukushima, Japan.
Hiroki ShimuraDepartment of Laboratory Medicine, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima-shi, Fukushima, 960-1295, Japan. hshimura@fmu.ac.jp.ORCID http://orcid.org/0000-0002-9770-2943

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study explored the quantitative analysis of portable ultrasound devices using target images from Multipurpose Phantom N-365. It focused on identifying inter-device variability and time-dependent degradation of the devices and their probes to support standardization and quality control of ultrasound devices.

methodsThree ultrasound device models were assessed, with two different setup conditions for each model. Three types of phantom targets, i.e., cyst-like, colloid cyst-like, and nodule-like, were collected from circular grayscale targets. The mean and standard deviation (SD) of brightness were calculated for each target type.

resultsQuantification of the mean and SD values of target brightness effectively distinguished between ultrasound devices due to the aging of the ultrasound equipment. Multivariate analysis further revealed that both the probes and the main unit independently contributed to time-related changes.

conclusionThis article presents a novel method for ensuring rigorous quality control and promoting standardization in ultrasound examinations by quantifying phantom image characteristics.

Indexed as

Image Processing, Computer-AssistedThyroid GlandPhantoms, ImagingQuality ControlUltrasonographyPhantomQuality controlThyroidUltrasonography

Identifiers

PMID41712173

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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.