Evidence map›Paper›PMID 37174870›Full record

ArticleHealthcare (Basel, Switzerland)2023

A Histogram Analysis of the Pixel Grayscale (Luminous Intensity) of B-Mode Ultrasound Images of the Subcutaneous Layer Predicts the Grade of Leg Edema in Pregnant Women.

Eri Ikuta, Masafumi Koshiyama, Yumiko Watanabe, Airi Banba, Nami Yanagisawa, Miwa Nakagawa, Ayumi Ono, Keiko Seki, Haruki Kambe, Taiki Godo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Eri IkutaGraduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Masafumi KoshiyamaDepartment of Women's Health, Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.ORCID 0000-0003-2412-4430
Yumiko WatanabeDepartment of Women's Health, Graduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Airi BanbaGraduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Nami YanagisawaSchool of Nursing, Tsuruga Nursing University, Tsuruga 914-0814, Japan.
Miwa NakagawaGraduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Ayumi OnoGraduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Keiko SekiGraduate School of Human Nursing, The University of Shiga Prefecture, Hikone 522-8533, Japan.
Haruki KambeDepartment of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
Taiki GodoDepartment of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
Shin-Ichi SakamotoDepartment of Electronic Systems Engineering, School of Engineering, The University of Shiga Prefecture, Hikone 522-0057, Japan.
Yoko HaraIris Women's Clinic, Hikone 522-0057, Japan.
Akira NakajimaIris Women's Clinic, Hikone 522-0057, Japan.
University of Shiga Prefecture · JPTsuruga Nursing University · JP

Funding

Japan Society for the Promotion of Science 20H03964
6 · The paper itself

Abstract

The technique most widely used to quantitatively measure leg edema is only a pitting edema method. It has recently become possible to digitize B-mode ultrasound images and accurately quantify their brightness using an image-analysis software program. The purpose of this study was to find new indices of the grade of leg skin, to study whether or not analyses of the subcutaneous layer of leg skin on ultrasound images using image-editing software program can be used to evaluate it and to digitize it. Images of 282 subcutaneous layers of leg skin in 141 pregnant women were obtained using a B-scan portable ultrasound device. Rectangular photographs (vertical: skin thickness; horizontal: width of probe) were obtained using an image-editing program, and the luminous intensity (pixel grayscale: 0-255) and thickness of the skin were calculated using a histogram. We investigated the correlation between these parameters and the grade of pitting edema (0-3). There was a significant positive correlation between the grade of pitting edema and the average luminous intensity value, its standard deviation, and the skin thickness (ρ = 0.36, ρ = 0.22, ρ = 0.51,

Indexed as

grayscaleimageleg edemaphotoshoppixelultrasound

Identifiers

PMID37174870
PMCPMC10178771
OpenAlexW4372284256

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.